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1 Antecedents and Consequences of Managerial Stress: An Empirical study of the Information Technology Sector Thesis Submitted to the Padmashree Dr. D. Y .Patil University, Department of Business Management in partial fulfillment of the requirements for the award of the Degree of DOCTOR OF PHILOSOPHY in BUSINESS MANAGEMENT Submitted by Ms Bharati Deshpande (Enrolment No. DYP-PHD-066100010) Research Guide Dr. R. GOPAL DIRECTOR DEAN & HEAD OF THE DEPARTMENT PADMASHREE DR. D.Y. PATIL UNIVERSITY, DEPARTMENT OF BUSINESS MANAGEMENT, Sector 4, Plot No. 10, CBD Belapur, Navi Mumbai – 400 614 June 2010
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Page 1: Antecedents and Consequences of Managerial Stress: · PDF fileDepartment of Business Management ... I hereby declare that the thesis entitled “Antecedents and Consequences of Managerial

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Antecedents and Consequences of Managerial Stress:

An

Empirical study of the Information Technology Secto r

Thesis Submitted to the Padmashree Dr. D. Y .Patil University,

Department of Business Management

in partial fulfillment of the requirements for the award of the

Degree of

DOCTOR OF PHILOSOPHY

in

BUSINESS MANAGEMENT

Submitted by

Ms Bharati Deshpande

(Enrolment No. DYP-PHD-066100010)

Research Guide

Dr. R. GOPAL

DIRECTOR DEAN & HEAD OF THE DEPARTMENT

PADMASHREE DR. D.Y. PATIL UNIVERSITY, DEPARTMENT OF BUSINESS MANAGEMENT,

Sector 4, Plot No. 10, CBD Belapur, Navi Mumbai – 400 614

June 2010

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DECLARATION

I hereby declare that the thesis entitled “Antecede nts and Consequences of

Managerial Stress: A Empirical study of the Informa tion Technology

Sector” submitted for the Award of Doctor of Philos ophy in Business

Management at the Padmashree Dr. D.Y. Patil Univers ity Department of

Business Management is my original work and the the sis has not formed

the basis for the award of any degree, associate sh ip, fellowship or any

other similar titles.

Place: Belapur

Date:

Signature of the Signature of the Signature of the

Guide Head of the dept. Student

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CERTIFICATE

This is to certify that the thesis entitled “Antece dents and Consequences

of Managerial Stress: A Empirical study of the Info rmation Technology

Sector” and submitted by Mr. / Ms. Bharati Deshpan de is a bonafide

research work for the award of the Doctor of Philos ophy in Business

Management at the Padmashree Dr. D. Y. Patil Unive rsity Department of

Business Management in partial fulfillment of the r equirements for the

award of the Degree of Doctor of Philosophy in Busi ness Management and

that the thesis has not formed the basis for the aw ard previously of any

degree, diploma, associate ship, fellowship or any other similar title of any

University or Institution.

Also certified that the thesis represents an indepe ndent work on the part of

the candidate.

Place:

Date:

Signature of the

Head of the department Signature of the Guide

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ACKNOWLEDGEMENT

I am indebted to the Padmashree Dr. D.Y. Patil Univ ersity Department of

Business Management, which has accepted me for Doct orate program and

provided me with an excellent opportunity to carry out the present research

project.

I would like to express my sincere thanks to my gui de Dr R Gopal for his

assistance and encouragement and for spending neces sary hours during

this research study. It was Dr Gopal constant inspi ration that kept me

together all the time and work continuously towards achieving a high

quality of work.

I would like to thank my Dean Academic Dr C.S. Adhi kari, Dr Ganesh Raja,

Director ITM Business School , Dr V.V Sople Deputy Director, Prof Murthy

and Prof Bhavsar for their advice, assistance and e ncouragement.

I would sincerely like to thank Dr Kirti Arekar wit hout whose insight and

help in quantitative analysis would not reach the l ight at the end of a very

long tunnel. Also like to thank Dr Shelja Jose for her constant guidance

during my research and Prof Manisha Karandikar for her inputs and

support.

I would like to thank my parents and in laws for t heir blessings and

encouragement. I would like to thank my husband Mr Avinash Deshpande

and my kids Aditya and Ameya without whose continue d sacrifices and

support the realization of this dream would not hav e been fulfilled and

other family members who where always with me.

I would like to thank my faculty associates Dr Sari tprava Das, Dr

Snigdharani Mishra, Prof Preeti Bakshi and other fr iends for their

participation and words of encouragement without which it was difficult to

finish this work. Special thanks to Mr E.P Thomas f or his timely formatting

work. I wish to express my deepest gratitude to all of the people who have

directly or indirectly helped me.

Place:

Date: Signature of the student

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This thesis is dedicated to my family

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CONTENTS

CHAPTER NO. TITLE PAGE NO.

List of Tables

List of Figures

List of Abbreviations

EXECUTIVE SUMMARY

Chapter -1 1.1 Introduction 1 - 2

1.2 Working environment of IT sector 2 - 4

1.3 Stress and Stressors Definition 4 – 10

1.4 Work-Non work stressors 10-16

Chapter - 2 Review of the Literature

2.1 Origin of the Concept 20-30

2.2 Sources of managerial stress 30-39

2.3 Consequences of Stress 42-45

2.4 Literature on Process model of work stress. 45-48

2.5 Research Gap 48-50

Chapter -3 Research Methodology

3.1 Purpose of the study 56

3.2 Importance of the Study 57

3.3 Scope of study 58

3.4 Statement of Research Objective 58-59

3.5 Population and Sampling 59

3.6 Sample Frame 61

3.7 Sampling Techniques 61

3.8 Working Hypothesis 62-65

3.9 Designing of the instrument 66-68

3.10 Limitation 68-69

Chapter-4 Conceptual Aspects of Stress 70-78

Chapter-5 Overview of Information Technology Secto r 79-90

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Chapter-6 Pilot Study 91-127

6.1 Validity and Reliability 93

6.2 Reliability Statistics 94-126

Chapter – 7 Data Analysis and Finding

7.1 Description of Sample 128

7.2 Reliability Statistics 130

7.3 Demographic Profile of Managers in IT Sector

131

7.4 Descriptive statistics of causes of stress 138

7.5 Inferential statistics for Causes of stress 144

7.6 Descriptive statistics of consequence 179

7.7 Inferential statistics for consequence 182

Chapter – 8 Summary and findings 199-202

Chapter – 9 Recommendation 203-212

Bibliography 213-222

Annexure

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LIST OF TABLES

Table No. Title Page No.

1.1 Summary of Definition 17

1.2 Definition of Job Stress 17-18

1.3 Definition of Job Stresses 19

2.1 Summary of Stress Literature Studies 51-55

4.1 Operational Definition 77-78

5.1 Soft ware Production by Regions and countries 84

5.2 Profile of Indian IT software industry 85

5.3 IT Industry Important Statistics 87

6.1 Reliability Table 98

6.2 Reliability Statistics 99-102

6.3 Causes of stress 102

6.4 Correlation between Age and Stress 105

6.5 Chi-square between age and stress 107

6.6 Correlation between causes and consequences 109

6.7 Descriptive Statistics of Causes 110

6.8 Independent t test for gender 111-112

6.9 Descriptive Statistics of Location 115

6.10 Independent t test for location 116

6.11 Descriptive Statistics for Year of Experience 115

6.12 ANOVA for Years of Experience 118

6.13 Descriptive Statistics of Income 123

7.1 Description of Sample 128

7.2 Reliability Statistics 130

7.3 Cross tabulation of Gender and Location 131

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7.4 Cross tabulation between gender and level 133

7.5 Cross tabulation between gender and years of exp 133

7.6 Cross tabulation between gender and total experience

134

7.7 Cross tabulation between gender and annual income

135

7.8 Cross tabulation between gender and age 136

7.9 Cross tabulation between age and income 137

7.10 Descriptive Statistics of causes of stress 138

7.11 Descriptive Statistics of Gender 139

7.12 Descriptive for level managers 140

7.13 Descriptive statistics for location 141

7.14 Descriptive Statistics for years of experience 141-42

7.15 Descriptive for total years of experience 142-43

7.16 Descriptive for managers income 143-44

7.17 Hypothesis testing of gender and stress 146

7.18 Independent t test for level of managers 151

7.19 ANOVA for years of experience 160

7.20 ANOVA for number of years of experience 166

7.21 ANOVA for Age and Stress Level 170

7.22 ANOVA for income and stress 175

7.23 Independent t test for consequences of stress 179

7.24 Descriptive statistics for location 179

7.25 Descriptive statistics for level 180

7.26 Descriptive statistics for Age 180

7.27 Descriptive Statistics for years of experience 181

7.28 Descriptive for total years of experience 182

7.29 Independent t test for Gender and consequence of

stress

183

7.30 Independent t test for Location and consequence of

stress

185

7.31 Independent t test for Level and consequence of

stress

187

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7.32 ANOVA for consequences of stress 190

7.33 ANOVA for for years of experience for and

consequences

192

7.34 ANOVA for for Total Years of experience for and

consequences

194

7.35 ANOVA for for Income of experience for and

consequences

196

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LIST OF FIGURES

Figure No. Title Page No.

1.1 Kurt Lewin Model of Force Field Analysis

30

2.1 Expanded model of work impact on mental distress

40

2.2 Stress model 41

5.1 Conceptual Framework of the study 74

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List of abbreviations

Abbreviations:

DYPDBM = Padmashree Dr. D. Y. Patil University Department o f

Business Management

IT - Information Technology

GAS -General Adaptation Syndrome(GAS)

BOSS -Burnout Stress Syndrome

EAP -Employee Assistance Programs

MBI (GS)- Maslach Burnout Inventory- General Survey

PMI The Pressure Management Indicator

NIOSH-National Institute For Occupation Safety And Health

ORS- Occupational Role Stressors

LCU -Life Change Unit

SRSS -Social Readjustment Rating scale.

SRE -Schedule of Recent experiences

ERI -Reward imbalance (ERI) model

F -F value

Df -degree of freedom

µ -Lamda

x² -Chi-square

p value of significance- 0.05level sign ificance

TCS Tata Consultancy Services.

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EXECUTIVE SUMMARY

The Present Scenario can be called as 'Highly Com petitive

Economy' ,'New Economy' and 'Hi-Tech' economy. Thi s New

Economy has bought a major changes in the economy. First is

Globalization and Liberation which has bought about a revolution in

Information Technology in India. Secondly the secon d factor is

Competition and thirdly it is attitudinal change in the working Class.

We can say it is the time for 'Survival of the fitt est'. To survive in the

market the organization has to be a high performing organizational.

These external factors due to which the manager nee d to be a

performer leads to Stress. Stress is likely to beco me the most

dangerous risk to business in the 21 st century. Also over the three

decades there has been a growing belief in all sect ors that the

experience of stress of managers at work has undesi rable

consequence for the health and safety of individual and for the health

of their organization.

Stress is becoming an increasingly global phenomen on

affecting all countries, all professions and all ca tegories of workers,

families and society in general.The concept of stre ss was first

introduced in the life science by Hans selye in 193 6. Stress is known

as ‘the ratio of the internal forces brought into p lay when a substance

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is distorted to the area over which the forces act. Stress produces

positive as well as negative effect. In the absence of stress people feel

boredom and lack any inclination to act at the same time more stress

leads to negative effect of stress. There is eviden ce that the

experience of stress at work is associated with cha nges in both

behaviour and physiological function, which may bot h be detrimental

to employees' health. Stress may contribute to the development of

various symptoms of occupational ill health and of physical and

psychological disorders. The emerging approach for intervention

focuses on a pro-active response to stress, with em phasis on

preventive measures and elimination of the causes o f stress, rather

than on the treatment of its effects. This very com plex issue is

covered by a broad field of research activities. Th e Information

Technology (IT) is no exception in this respect wit h an increasing

employment increasing employment in recent years. Although

general management is a high stress occupation high er due to the

conflicting demands of completing a project on time , within budget, to

quality, and satisfying stakeholders.

Research Gap

The literature on job stress either like to link c auses of stress to

personality variables, job related stress to change in the organization,

performance linked or turnover intentions or a comp aratively study

between countries.

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Most of the literature either shows the reasons or burnout or stress, or

there is a comparative study between countries but not many studies are

conducted in Indian IT sector. In Indian context th ere is some work done in

manufacturing sector and BPO /KPO sector. The prese nt study discusses

different occupational stressors in Informational t echnology sector for

junior and middle management categories executives . The study was

conducted for executives located in two cities i.e Mumbai and Bangalore

This study basically studies the antecedents and co nsequences of stress

in these major cities and give recommendations how to overcome these

problems.

Purpose of the study :

Job stress can occur for everyone in any position i n any industry. Stress

can affect high level executive, upper and middle m anager. The various

stress relating problems like coronary heart diseas e hyper tension,

diabetics, gastrointestinal disorders, peptic ulcer , asthma, migraine,

alcoholism, drug addiction, depression etc are acco untable for poor health.

These problems are further affecting organizational performance adversely

by contributing to poor productivity, high employee turnover and higher

degree of job satisfaction.

The increased stress related costs are fostering th e organization to identify

the various approaches to study stress at work. The present research is

designed to investigate the relationship and impact of work related stress

on managers by testing for relationship between cau ses of stress in IT

sector with reference to demographic, independent v ariables i.e age,

gender, level, years of experience, total years in IT sector, income and

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consequences of their stressors like physiological, behavioural and

psychological.

Objective:

In view of the above, the objective of this study w ere:

• To identify the job related stressors for managers in Information

Technology sector.

• To study the sources of stress with context to role related, Job

Related, Interpersonal, Intra personal and Organiza tional.

• To investigate the relationship and impact of work related stress on

managers by testing for relationship between causes with

reference to demographic independent variables(age, gender, level

of managers, years of experience, income and variab les of

stressors.

• To study the consequences of these stressors i.e ph ysical,

behavioural and psychological on the managers with reference to

demographic independent variables.

• Give recommendations as to factors which are respon sible for

stress and how to overcome these problems

Sampling :

Sampling is the process of selecting a( few sample ) from the bigger

group to become the basis of estimating or predicti ng the prevalence

of an unknown piece of information, situation or ou tcome regarding

the bigger group. In the present sample the entire population of IT

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managers all over India, but the potential responde nt ( element) are

basically selected from the two major cities i.e Mu mbai and Bangalore.

The technique used for sampling is convinent sampli ng . It is relatively

easy task to define a target population for a study , but more difficult to

identify the list of every member of such populatio n. In the present

study the sample population was the senior managers and the junior

managers. The sample size calculation showed a samp le of 180 based

of which a sample of 600 sample size was chosen fro m both the cities

Mumbai and Bangalore.

Methodology :

This research study was designed to investigate th e relationship

and impact of work related stress on managers by te sting for

relationship between the causes of stress in its se ctor with

reference to demographic, independent variables (ag e gender

level, years of experience, income) and consequence s of these

stressors like physiological, behavioral and psycho logical. In

order to find this the methodology adopted was Prim ary data as

well as secondary data. The literature review reve aled that in

India use of Social Readjustment Rating Scale(SRSS) developed

by Holmes and Rahe (1967)was used. It basically inc luded 43 life

events drawn from nearly 5000 case histories of pat ients. It was

used to investigate the nature and dynamics of role stress in

various organizations and to develop interventions for the use of

individual, groups and organization. In the present study a well

known psychometric instrument was Occupational Stre ss Index

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which was constructed and standardized by Dr Srivas tava and Dr

R Singh (1981). This instrument included 46 questio ns covering

all the relevant components of job life which cause s stress in one

or other way. Of these 32 are true keyed and 18 are false keyed. A

Likert 5 point ranging from strongly disagree to st rongly agree

was used on each other. Total variables included ro le overload,

role conflict, role ambiguity, job stressors, intra personal

stressors, powerlessness , underparticipation and l ow status.

and for studying the consequences of stress instrum ent by

International Stress Organization was used data . I t included 20

questions based on the physical , behavioural and p sychological

consequences. Secondary was used to find out the ea rlier

contributions by different authors, to know the sta tistical figures

of stress . The secondary research included textb ooks, journals,

reports,newspaper etc.

A conceptual framework of stress was adapted from p revious

research. Firstly an exploratory was conducted to f ind the stressors

faced by IT managers. Based on the variables of str essors the

instrument Occupational Stress Index by Dr A.K Sin gh and Dr R

Srivastava was used to conduct the data .

Hypothesis framing :

Hypothesis was framed on basis of the demographics of managers ie

age, gender, location, years of experience in the s ame company, total

number of years of experience, income , level vari ables of stress like

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role ambiguity, role conflict, role overload, inter personal stressors,

job stressors , under participation , powerlessness and low status.

The description of sample showed the sample size i n Mumbai sis

49.8% where as in banaglore it is 50.2%. The total male managers are

63% of population where as female managers are 37%. Out of which

67% of sample is of junior management and 32.5% are in the senior

level. In the given sample 19.1% of managers are in less than 25 years

of age group where as maximum in the age group of m anagers in the

age group of 25-35 years i.e 40.6%. About 26.4% of managers are in

the age group of 30-35 years and only 13.9% above 3 5 years of age. In

the income segment 47.5% of managers earn income of 5-10 lakhs per

annum. About 24.4% earn in the range of 1-5 lakhs a nd 10-15 years

respectively. Only 4% of managers earn above 15 lak hs per annum.

Findings

The conclusion reached supported the research quest ion findings.

There is a significant difference between stress le vel in male and

female. Stress is more in age group less than 25 yr s of age due to

under participation, low status . In male due to in ter personal

stressors, job stressors where is female it due to under participation

and powerlessness. Stress also varies with location . Stress is more in

Mumbai due to few occupational stressors like role ambiguity, job

related stressors, powerlessness, under participati on and low status.

If we compare stress level in Junior level managers is due to role

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conflict, powerlessness, under participation , low status. and gender,

stress and years of experience, stress and income

By cross tabs it was found that there is no signifi cant relationship

between gender and location, gender and level, gend er and years of

experience, gender and annual income but a signific ant relationship

between income and age. The findings indicate that less than 25 years

of male managers earn 26.5 % of income also in the similar age group

54% of managers earn the same money at the age of 3 5 and above.

There is significant difference in the behavioural and psychological

consequences of stress in male and female managers. There is a

significant difference in physical consequences but no significant

difference in behavior and psychological consequenc e of stress in

Mumbai and Bangalore. There is not significant diff erence in physical

consequences of stress in Junior managers and senio r managers but

a difference in psychological consequences of stres s. There is

significant difference in physical, psychological a nd behavioural

consequences of stress and age, years of experience .

Conclusion:

Stress is the unconscious preparation to fight or f lee when faced with

any demand. Most of the stressors found in organiza tion is task, role,

interpersonal, physical demand at work along with n on work

demands. To overcome stress efforts from both persp ective is

important i.e individual as well as organizational perspective. If efforts

are taken from both sides may lead to a very health y culture in an

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organization which will effect individual performan ce as well as

organizational performance.

Recommendations :

Stress is inevitable result of work and personal l ife. Distress is not an

inevitable consequence of stressful events how ever in fact well

managed stress can improve health and performance. Some

strategies recommended are as follows:

J.D Quick, R.S Horn(1986) gave a framework for unde rstanding

preventive stress management which talks about thre e stages of

prevention . Primary prevention is intended to redu ce, modify or

eliminate the demand of stressors causing stress. S econdly

prevention is intended to alter or modify the indiv iduals or the

organization’s response to a demand or stressor.Thi rdly is Tertiary

prevention intended to heal individual or organizat ional symptoms of

distress and strain.

Few more techniques given by B Gardell(1987) in his job strain model

like job design basically to have a worker control. Few more strategies

like Goal setting, Role negotiation, Learned optimi sm, time

management, physical excerise, yoga and meditation etc can be used

to over come stress.

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CHAPTER I

An overview of Information Technology Sector

1.1 INTRODUCTION

The Indian information technology sector continues to be one of the

sunshine sectors of the Indian economy showing ra pid growth and

promise. According to a report prepared by Mc Kinse y for NASSCOM

called ‘Perspective 2020: Transform Business, Trans form India’

released in May 2009, the exports components of the Indian Industry

is expected to reach US $175 billions in revenue by 2020. IT sector

has played a very important role in putting India o n the global map.

According to the Department of Information Technolo gy (DIT) the

overall Indian software and services industry reven ue is estimated to

have grown from US $ 10.2 billion in 2001-02 to rea ch US$58.7 billion

in 2008-09.

The IT industry accounts for a 5.9% of the country ’s GDP and export

earning as of 2009 while providing employment to a significant

number of its tertiary sector workforce. More than 2.3 million people

are employed in the sector either directly or indir ectly. The most

prominent IT hub is IT capital Bangalore. The other emerging

destinations are Chennai, Hyderabad, Mumbai, Pune, Jaipur and

Kolkata. Today Bangalore is known as Silicon Valle y of India and

contributes 33% of Indian IT Exports. India’s secon d and third largest

software companies are head quartered in Bangalore, as are many of

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global SEI –CMM level 5 companies. And Mumbai too h as its share of

IT companies once that are established as well as s tart-ups and

these include Patni, L&T Infotech, TCS, Intelli-Fle x, Shine etc. These

IT companies are ruling the roost of Mumbai’s relat ively high octane

industry of information technology.

The scope of IT industry has great scope for peopl e as it provide

employment to technical and non technical graduates and has a

capability to generate huge foreign exchange inflow for India. India

exports software’s and services to approximately 95 countries in the

world. By outsourcing to India, many countries get benefit s in terms

of labour costs and business processes.

1.2 WORKING ENVIRONMENT OF IT SECTOR:

It is dynamic industry that is often informal, but always focus on

achievement. IT graduates highlight constant change and

challenges, variety, working to deadlines, working with intelligent

colleagues, work overload. Many graduates work a fa irly standard

day. However in some areas the cyclical nature of p rojects means

that extra work may indeed be necessary to meet pro ject deadlines

or to provide 24/7 support. In the games industry, long hours are

pretty much the norm. In other field we build up sk ills so that they

become a capital asset that increase in value. In t echnology, the

learning curve can be competence destroying as inst ead of building

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up their skills they are trying to maintain it. Tha t amount to increase

in stress they have.

People believe that modern computer aided technolo gy has reduced

their mental workload but in fact, it has increased the mental

workload and it also weakened their social support. Work related

stress comes from numerous factors such as too many task

demands, role conflicts, job boredom, ethical dilem mas, or

interpersonal problems. Poor career development and physical

environment are also causes of workplace stress. Bu t technology is

one of the biggest factor of stress. Technology is supported to make

employees more productive at work, less burdened. B ut technology

is moving too fast for some people contributing to more stress.

Job stress has long been an important concept in t he organizational

study of the response of the employees have to thei r surroundings.

The many challenges in the work environment, charac terized by

heightened competition, lack of time, continuous te chnology

development, conflicting demands from organizationa l stakeholders

(Hall and Savery 1986) increase use of participator y management and

computerization (Murray and Fobes 1986) has resulte d in high job

stress. Managers in the manufacturing sector have b een found to be

experiencing high stress (Jestin and Gampel 2002). The weakening

of the global economy during the past few years has resulted in

substantial downsizing and retrenchment. Such event s amongst

employees in locals are few of the reasons for high stress amongst

employees.

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The common expression for stress is ‘tension’. One is said to be

tensed, when there is some anxiety, some fear of wh ether the

desirable things may happen, whether something may go wrong etc.

It is a state of discomfort felt in the mind and ex perienced by the

body.

1.3 STRESS –DEFINITION-CLASSIFICATION :

The terms “Stressors” and “Coping process”- as the y relate to this

research, will also be defined. Once again, these d efinitions are a

mixture of mental health and organizational behavio ural science

definitions.

Stress Defined

Stress is defined by Bruno(1991) as the rate of we ar and tear on an

organism. Selye, a Canadian physician, was an early explorer of the

effects of stress on health. He defined stress as t he sum of all non

specific changes caused by function or damage (1956 ,1976). From

his medical perspective. Selye suggested that the b ody responds to

psychological changes related to “fight or fight” s yndrome(1974).

Bowes(1999) concurs that the human body has been “h ard-wired”

throughout evolution to respond to stress through a fight-or fight

response. She defines stress as external or interna l pressure to act.

Bowes(1999) states that stress is’ the body respond ing by activating

a complex system that produces an array of hormones and

neurotransmitters, which are intended to help the h eart and brain

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work better physiologically to meet the demand(1233 -

1234)Herbert(1997)defines stress as a general term that refers to any

demand psychological or physical) that is outside t he norm. Herbert

states that stress usually signals a disparity betw een what is optimal

in a given situation and what actually exists. (Bru no, 1991) Beehr and

Newman (1978) define occupational stress as "A cond ition arising

from the interaction of people and their jobs and c haracterised by

changes within people that force them to deviate fr om their normal

functioning."

Mason(2001)defines stress as reactions of the body to negative

influences. Mason further explains that his studies show ”external

stress may be positive or negative(pleasure, challe nge, divorce, work

responsibilities)’(p316).

French(1971) defines stress as it is the consequen ce that an

individual’s ability or skills fail to coordinate w ith the job or the job

environment cannot satisfy the individual demand.

Wilkeson (1991) defines stress and further delinea tes it into four

types. From a general perspective, stress is define d as “fashionable”

term that denotes usually disagreeable stimuli. Str ess also

encompasses the subjective, behavioural and physiol ogical

responses to the stimuli. The four main, overlappin g types of stress

are segregated as acute (eg an assault), sequential , with one event

initiating others that occur over some period of ti me (eg

bereavement); chronic intermittent (eg conflicts wi th neighbours);

and chronic (eg being disabled). Miller and Simergl ia (1998) define

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stress as the individual’s general feeling of uneas e or upset in

response to a traumatic life event and the accumula tion of others,

concomitant problems or change. They divide stress into two

constructs; event stress and added stress. Event (o r primary) stress

is defined as reaction that are directly related to a stressful life event.

Added (or coincidental contextual) stress is differ entiated as the

result of additional problems and changes that are occurring about

the same time as the primary event stress. Robbins (2001) defines

stress as a dynamic condition in which the individu al is confronted

with an opportunity, constraint, or demand related to what he or she

desires and for which the outcome is perceived to b e both uncertain

and important.

“Stressor” Defined:

Anisman and Merali (1999) define the term stressor as a situation or

event appraised as being aversive, in that it elici ts a stress response.

This then taxes a person’s Physiological or psychol ogical resources,

as well as potentially provoking a subjective state of mental or

physical tension. Stressors can be separated into t wo classifications

psychogenic and or physical tension. Stressors of a purely

psychological origin are called psychogenic stresso rs. Neurogenic

stressors usually involve a physical stimulus.

In addition, Anisman and Merali (1999) have segreg ated

environmental stressors as either systemic and poss essive.

Possessive stressors require appraisal of a situati on involving high-

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level cognitive processing of incoming sensory info rmation. In

contrast systemic stressors are of physiological or igin.

Simply defined, a stressor is an event that causes stress to the

individual when he or she appraises the demands as exceeding the

resources (Lazarus and Folkman 1984). Herbert(1997) utilizes the

definition of stressor as an environmental event. D avison and Neale

(2001) concur with this definition and add that a s tressor can be

thought of as a stimulus, whether positive or negat ive in nature.

“Coping Process” Defined Herbert (1997) includes a definition of

coping in his study of stress, the brain and mental illness. “Coping is

the process of recognizing, and adapting to persist ent and adverse

stress (p369). Davison and Neale (2001) defined the concept of

coping as how people try to handle a problem or the emotion it

process. Lazarus and Folkman (1984) identified two broad

dimensions of coping: problem focused coping and e motion

focused coping. Problem focused coping involves tak ing some sort

of direct action to solve the problem.

Table1 is a summary of the operational definitions of the terminology

as used in this research study. The term stress has been derived

from the Latin word "stringer" which means to draw tight. The term

was used to refer to hardship, strain, adversity or affliction. Allen,

Hitt, and Green (1982) have defined "Occupational s tress as

disruption in individuals psychological or/and phys iological

homeostasis that force them to deviate from normal functioning in

interaction with their jobs and work environment."

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Stress is an adaptive response to a situation that is perceived as

challenging or threatening to the person’s well bei ng. The stress

response is a complex emotion that produces physiol ogical changes

to prepare us for ‘fight or fight’- to defend the t hreat or flee from it.

Acute stress and Chronic Stress: Stress is a physi cal and emotional

reaction that everyone experiences as he or she enc ounters changes

in life. These reactions can be positive or negativ e. Many scientists

see stress as a reaction of our body to sudden chan ges in the

environment. Just like animals, people need extra e nergy to stay and

fight or run away when faced with danger. The body' s normal

reaction to a somewhat dangerous situation is an in crease in heart

rate and muscle tension and a higher blood pressure and sweating

such physical and emotional reaction help us by inc rease our

concentration and other bodily function in order to prepare for a

challenge. After meeting a challenge the body relax es as the heart

rate, muscle tension and blood pressure return to n ormal. This gives

the body a chance to recover physically and for the person to feel

emotionally rewards for overcoming the challenge. T his is called

good stress or Acute stress.

When situation that causes physical and emotional stress reaction or

non stopping or perceived as perceived as non stopp ing. The body

never gets a chance to relax. This cause constant t ense muscle and

a 'Knotted” stomach. This type of situation is call ed a bad stress or

chronic stress. Stress is an inevitable feature of work and personal

life. It is neither inherently bad nor destructive.

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Stressors : The Causes of stress

Stressors, the causes of stress, include any enviro nmental

conditions that place a physical or emotional deman d on the person.

There are numerous stressors in organizational sett ings and other

life activities. The four main types of stressors o f work related

stressors: interpersonal, role related , task contr ol, organizational

and physical environmental stressors.

Inter personal stressors: Among the four types of s tressors,

interpersonal stressors seem to be most pervasive a t school and

work. The trend towards teamwork generates inter pe rsonal

stressors because employee must interact more with co-workers.

Bad boss, office politics, and various types of int er personal conflict

also take their toll on employees. E.Vigoda(2002)fo und that

employees experienced stress immediately after expo sure to

organizational political. Other inter personal stre ssors include sexual

harassment, workplace violence, and bullying.

Role Related Stressors: Role related stressors incl ude conditions

where employees have difficulty understanding, reco nciling or

performance the various roles in their lives. Three types of role

related stressors are role conflict, role ambiguity and work overload.

Role conflict refers to the degree of incongruity o r incompatibility of

expectations associated with the person’s role. Som e people

experiences stress when they have two roles that co nflict with each

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other( called inter role conflict). Nurses tend to experience inter role

conflict because they struggle to maintain humanist ic caring and

preserve the nurse patient relationship in a cost e fficient managed

care environment controlled by others. G.R Cluskey( 1997) studied

role conflict also occurs when an employee receives contradictory

messages from different people about how to perform a task(called

intra role conflict) or works with organizational v alues and work

obligations that are incompatible with his or her p ersonal values(

called person-role conflict)

Role Ambiguity: Refers to the lack of clarity and p redictability of the

outcome of one’s behaviour. Role ambiguity produces unclear role

perception and has a direct affect on job performan ce. It is also a

source of stress in a variety of situations, such a s joining the

organization or working in a new joint venture, bec ause people are

uncertain about task and social expectations.

Work Overload: A third role related stressors is wo rk overload-

working more hours and more intensity during those hours. In 1930,

noted economist John Maynard Keynes predicted that by 2030 the

average employee would be working a 15 hours workwe ek. At the

time, Kellogg’s the cereal company, had switched fr om eight hours

to six hours work shifts in order to employ more pe ople during the

depression and give employees more time off. But Ke ynes prediction

is a far cry from the number of hours employees wor k today.

Although official paid work hours are lower than th ose of the early

1900’s, they have moved consistently upward towards the past 20

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years. Some authors claim the raising workload is d ue to the

pressure from globalization for more efficiency and from employee’s

own desire to keep up with the Joneses in wealth an d consumption.

Task-Control Stressors: It includes the extent to w hich low task

control is a stressor increases with the person’s l evel of

responsibility. Assembly line workers have low task control but tend

to experience less stress because they also have lo w responsibility

for those tasks. In contrast, sports coaches are im mense pressure to

win games(high responsibility) yet have little cont rol over what

happens on the playing field ( low task control)

Organizational and Physical Environment stressors: Organizational

and Physical Environment stressors come in many for ms.

Downsizing(reducing the numbers of employees) is ex tremely

stressful to those who lose their jobs. However, la yoff survivors also

experiences stress because of the reduced job secur ity, chaos of

change, additional workloads, and guilt of having a job as others

lose their . Some stressors are found in the physic al work

environment, such as excessive noise, poor lighting and safety

hazards. A study of textiles workers in a noisy pla nt found that their

levels of stress measurably decreased when supplied with ear

protectors. Another study reported that their level of stress

measurably decreased when supplied with ear protect ors. Another

study reported that clerical employees experienced significantly high

stress level in noisy open offices than in quiet a reas.

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Work-Non work stressors: There are three types of t hese work –

nonwork stressors: time based, strain based and rol e based conflict.

Time Based Conflict: Time based conflict refers to the challenge of

balancing the time demanded by work with family and other non

work activities. This stressors are noticeable in e mployees who hold

employees who hold strong family values and weakest in people who

do not value a work life balance, Time based confli ct relates back to

the workload stressors described earlier.

Strain Based Conflict: Strain based conflict occurs when stress from

one domain spills over to the other. Relationship p roblems, financial

difficulties, and loss of a loved one usually top t he list of non work

stressors. New responsibilities, such as marriage, birth of a child,

and a mortgage, are also stressful to most of us.

Role Behaviour conflict. A third work- non work str essors, called role

behaviour conflicts, occurs when people are expecte d to enact

different work and non work roles. People who act l ogically and

impersonally at work have difficulty switching to a more

compassionate behavioural style in their personal l ives.

Major Elements of Stress:

One way to understand the dynamics of stress is to think of it as the

product of a “force field” ( Lewin, 1951). Kurt Lew in suggested that

all individuals and organizations exist in an envir onment filled with

reinforcing exist in an environment filled with rei nforcing or

opposing forces( stresses). These forces act to sti mulate or inhibit

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the performance desired by the individual. A person ’s level of

performance in an organization results from factors that may either

complement or contradict one another. Certain force drive or motives

changes in behaviour, while other forces restrain o r block those

changes.

According to Lewin’s theory, the forces affecting i ndividuals are

normally balanced in the force field. The strength of driving forces is

exactly matched by the strength of the restraining forces.

Performance changes when the forces become imbalanc ed. That is if

the driving forces become imbalanced. That is, if t he driving forces

become stroner than the restraining forces, or more numerous or

enduring, change occurs. Conversly if restraining f orces become

stronger or more numerous than driving forces, chan ge occurs in the

opposite direction.

Feeling of stress are a product of certain stressor s inside and

outside the individual. These stressors can be thou ght of as driving

forces in the model. That is, they exert pressure o n the individual to

change present levels of performance physiologicall y,

psychologically and inter personally. Unrestrained those forces can

lead to pathological result(eg anxiety, heart disea se and mental

breakdown) . However most people have developed a c ertain amount

of resilency or restraining forces to counter stres sors and inhibit

pathological results. These restraining forces incl ude behaviour

patterns, psycholgocial characteristics and support social

relationships. Strong restraining forces lead to lo w heart rates, good

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interpersonal relationships, emotional stability, a nd effective stress

management. In absence of restraining forces leads to the reverse

Dr

D

( Fig 1.1Source Kurt Lewin Model of Force field A nalysis)

Driving Force A

Driving Force B

Driving Force

Restraining Force A

Restraining Force B

Restraining Force C

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Table 1.1: SUMMARY OF DEFINITION

Term Researcher Definition

Stress Bowes,1999,

1997:Bruno

External of internal pressure to act or react to pos itive or

negative stimuli.

Burnout Minirth 1986 High levels of continuous stre ss.

Depression Bruno,1991 Negative emotional state char acterized by self doubt,

sadness,& loss of interest in daily living.

Stressor Bruno,1991 Causes of the stress.

Coping

Strategy

Herbert 1997 Process of recognizing, evaluating, an d adapting to

persistent stress

Table 1.2: DEFINITIONS OF JOB STRESS

Year Author Definition of Job Stress

1956 Seley Stress means uncertain reaction of he body to demand and also basic demand from internal and external environment, or reaction result against threat of balance condition

1971 French Stress is the consequence that an in Individual’s ability or skills fail to Coordinate with the job or the job Environment cannot satisfy the Individual demand.

1974 Kroes Stress is improper occupa-tional Pressure or burden with

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badly Affect the psychological and Physical condition of the worker Himself.

1978 Beehr & Newman Stress is the change that drives the Worker from normal psychological And physical condition

1980 Ivancevich & Matteson

Stress is some adaptive reaction, a Consequence of special psychological or physical demand from the event, and such reaction takes personal character as intermediary.

1985 Jamal Stress is one’s reaction against threat In the working environment

1991

Wileson

From a general perspective, stress is defined as “fashionable” term that denotes usually disagreeable stimuli. Stress also encompasses the subjective, behavioural and physiological responses to the stimuli.

1997 Herbert Defines stress as a general term that refers to any demand psychological or physical) that is outside the norm. Herbert states that stress usually signals a disparity between what is optimal in a given situation and what actually exists.

1998 Miller & Simerglia

Stress as the individual’s general feeling of unease or upset in response to a traumatic life event and the accumulation of others, concomitant problems or change.

1999 Bowes Concurs that the human body has been “hard-wired” throughout evolution to respond to stress through a

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fight-or fight response. She defines stress as external or internal pressure to act.

2001 Mason Stress as reactions of the body to negative influences. Mason further explains that his studies show ”external stress may be positive or negative (pleasure, challenge, divorce, work responsibilities)

Table 1.3: Definitions of Job Stressors

Year Author Definition of Job Stress

1999

Anisman and Merali

Stressors can be separated into two classifications psychogenic and or physical tension. Stressors of a purely psychological origin are called psychogenic stressors. Neurogenic stressors usually involve a physical stimulus.

1984 Lazarus and Folkman

Simply defined, a stressor is an event that causes stress to the individual when he or she appraises the demands as exceeding the resources

2001

Davison and Neale

Concur with this definition and add that a stressor can be thought of as a stimulus, whether positive or negative in nature as coping process. The concept of coping as how to handle a problem or the emotion it process.

Chapter II

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Literature Review

2.1 Origin of the concept:

The concept of stress was first introduced in the l ife science by Hans

Selye in 1936. It is a concept borrowed from the na tural sciences.

During the eighteenth and nineteenth centuries, str ess was equated

with force, pressure strain exerted upon a material its original state.

The use of the concept in this manner encouraged ph ysicists and

engineers to adopt it to suit their ends. Thus, str ess is engineering is

known as ‘the ratio of the internal force brought i nto play when a

substance is distorted to the area over which the f orces act (Hinkle

1973). In common parlance, however the terms ‘stres s’ and ‘strain’

are use synonymously in a non-scientific manner. Th e popularity of

this concept has dwindled in the physiological fiel d where it was first

introduced, and the use of the stress terminology c ontributes to

flourish in the psychological and social sciences. During the last 15

years the term stress has come to be widely used in relation to work

organizations. (Agarwala, Malhan and Singh 1979). M ason(1975)

reviewed literature on stress and concluded that th ere was confusion

and a lack of consensus regarding its definition.

The term stress has been used variously to refer to a) stimulus

(external force acting on the organism), b) respons e (changes in the

physiological functions), c) interaction (inter-act ion between an

external force and the resistance opposed to it, as in biology) and d)

more comprehensive combination of this above factor .

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Agarwala, Malhan and Singh (1979) believe that the confusion is

defined is primarily due to the fact that the same term is used by

various scholars of different disciplines. Thus in physics, stress is a

force which acts on a body to produce strain. In ps ychology, stress

refers to a state of the organism resulting from so me inter-stimulus

which imposes detectable strain that cannot be easi ly

accommodated by the body and so presents itself as impaired health

or behaviour’. Hens Selye’s 1936 he wrote the first paper on the

stress syndrome in 1936. He demonstrated the stress is not a vague

concept, some how related to the decline in the inf luence of

traditional codes of behaviour, dissatisfaction wit h the world, or the

rising cost of living, but rather then it is clearl y a deinable biological

and medical phenomenon whose mechanisms can be obje ctively

identified and with which he can cope much better o nce we know

how to handle it. When confusions and arguments abo ut stress-

indeed about any concept- start to prove a barriers to

communication and progress, it is always best to re vert to the

undisputed facts, the original observations that ga ve rise to the field.

Accordingly, let us proceed to a discussion of the nature of stress.

Hans Selye’s General Adaptation Syndrome (GAS) has been widely

comprehensive has been widely held as a comprehensi ve model to

explain the stress phenomenon. This three stages mo del states that

when an organism is confronted with a threat, the g eneral

physiological response occurs in three stages.

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Alarm Reaction: The first stage includes an initial ‘shock phase’ in

which resistance is lowered, and a ‘counter –shock phase’ in which

defensive mechanisms become active. Alarm reaction is

characterized by autonomous excitability; adrenalin discharge;

increase heart rate, muscle tone, and blood content ; and

gastrointestinal ulceration. Depending on the natur e and intensity of

the threat and the condition of the organism, the p eriod of resistance

vary and the severity of symptoms may differ from ‘ mild invigoration

to disease of adaptation’

Stage of Resistance: Maximum adaptations occur duri ng this stage.

The bodily signs characteristics of the alarm react ion disappear.

Resistance increases to levels above normal. If the stressor persists,

or the defensive reaction proves ineffective, the o rganism

deteriorates to the next stage.

Stage of Exhaustion: Adoption energy is exhausted. Signs of the

alarm reaction reappear, and the resistance level b egins to decline

irreversible. The organism collapses. A diagrammati c view of these

stages is shown

Shortcoming: The first major shortcoming of this th eory according to

Pestonjee (1987) is that it is based on researches carried out on infra

human subjects. In such experiments, the stressors are usually

physical and environmental, whereas the human organ ism is not

always confronted by such stressors.

Secondly Selye’s work on stress depends on the exis tence of a non-

specific physiological response. But it has been no ted by

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researchers that there are certain stimuli, for exa mple, exercise,

fasting and hear, which do not produce non-specific response and

hence the General Adaptation syndrome does not hold true.

Pestonjee(1987) however had noted that it is ‘natur al and healthy to

maintain optimal level of stress and opined that ‘s uccess

achievement, higher productivity and effectiveness call for stress’

When stresses are left unchecked and unmanaged, the y can create

problems in performance and affect the health and well being of the

organism. Stress has originated in the field of str uctural engineering

and physical sciences which, in due course of time, has been

adopted by behaviour scientist. His paper is an att empt to demystify

the established facts related to the phenomenon of stress. For eg the

person environment paradigm emphasis the balance ra ther the

absolute level of either. This paradigm, however do es not assume

that return to the preceding steady state in the on ly beneficial

outcome possible because too little work is as stre ssful for

individual as being viewed as a stimulus to growth and the

achievement of a new balance. Keeping in view that stress is a

personal response to a certain variation in the env ironment,

Pestonjee depending on a. The nature and magnitude of the strategy

b) the importance of the stressors to the individua l. 3) the perception

of the treat element as a component of the stressor d0 the personal

and social support system available to the individu al and the d) the

involvement and willingness on the part of the indi vidual and e) the

involvement and willingness on the part of the indi vidual’ to do of

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stress in the light of social systems to which we a ll belong. There are

two systems one primary secondary system to which w e relate such

as neighbourhood, school, college etc. He also Pest onjee has

attempted to diagrammatically present the nature an d consequence

of stress phenomenon. He has identified three impor tant sectors of

life in which stress originates. These are

1. Jobs and the organization: This namely includes in totality work

environment (task, atmosphere, colleagues, compensa tion and

policies)

2. The social sector: Refers to the social-cultural context of one’s

life.

3. Intra-psychic sector: This encompasses those thi ngs which are

intimate and personal, like temperament, values, ab ilities and

health.

It is contended that stresses can originate in any of three sector or in

combination thereof. In the second figure we that j ob and

organization loads have increased and have made a d ent in the

personality. In this stage we find minor surface ch anges taking place

which are quite manageable.

In stage three we find that job and organizational load have become

unmanageable and interact with intra psychic load. This is a stage at

which the negative consequences of stress become ap parent. When

the situation persist we move to the next stage in which we start

operating belong the stress tolerance limit. Severa l types of

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breakdowns and cracks are observable. If unchecked, the situation

may culminate into the last and most intense phase wherein

complete disintegration of personality takes place. At this stage the

individual needs proper psychological and medical c are.

He also developed a model to explain how to cope wi th stress

reaction. It is called the ‘bounce model’ because t he behavioral

decomposition taking place due to stress tends to g et reflected in

interpersonal and other reactions. The reactions ar e received and

analyzed by the environment which in turn, bounces back signals to

the individual to bring about a change either at th e organic level or at

the response level.

(Pain 1982) has developed concept of Burnout Stre ss Syndrome

(BOSS): Boss can lead to at least four types of str ess related

consequences such as depletion of energy reserves, lowered

resistance to illness, increased dissatisfaction an d pessimisms and

increased absenteeism and inefficiency at work.

Veningle and Spradley (1981) have identified five d istinct stages of

Boss: Honey moon stage: This stage can be describe d as

accounting for the euphoric feeling of encounter wi th the new job

such as excitement, enthusiasm challenge and pride. Dysfunctional

features emerge in two ways: First the energy reser ve is gradually

depleted in coping with the demands of a challengin g environment.

Second, habits and strategies for coping with stres s are formed in

this stage which is often not used in coping with l ater challenges.

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Fuel Shortage stage: This stage can be identified a s composed of the

value feelings of loss, fatigue and confusion arisi ng from the

individual’s overdraft on reserves of adaptation en ergy. Other

symptoms are dissatisfaction, inefficiency, fatigue and sleep

disturbances leading to escape activities such as i ncreased eating,

drinking and smoking.

Chronic Symptoms stage: Fuel shortage stage is foll owed by

physiological symptoms which become more pronounced and

demand attention and help at this stage. Common sym ptoms are

chronic exhaustion, physical illness, anger and dep ression. A sense

of fatigue and exhaustion overtakes the individual.

Crisis stage: When these feelings and physiological symptoms

persists over a period of time, the individual ente rs the stage of

crisis. At this stage, he develops escape mentality and feeling

oppressed. Heightened pessimism, self doubting, pep tic ulcer,

tension headaches, chronic backaches, high blood pr essure and

difficulty in sleeping are other characteristics of this stage.

Hitting the Wall Stage: This stage of BOSS is chara cterized by total

exhaustion of one’s adaptation energy which may mar k the end of

one’s professional career. While recovery from this stage may elude

some, others may be resourceful enough to tide over the crisis.

The author further identified the particular stress ors associated with

owner manager. Stressors for creative manager are R ole ambiguity,

Outcome curtaining Exposure to hazards Task difficu lty Exposure to

criticism, evaluation anxiety, role expectation con flict and time

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pressure and consequences are leads to boredom and frustration,

self role distance, role stagnation, personal adequ acy, approach

avoidance conflicts about job.

(Storch and Panzarella,1996), and managing ( Broa d bridge 2002).

Relatively few studies has been conducted and of t hese only

Gallstedt focus on IT project managers. This report s on research

aimed at validating and extending Gallstedt's work by identifying the

sources of stress and their outcome that are releva nt to IT managers

.What are the stressors faced by IT managers, what are the

consequences of them.

MD.W. Pestonjee review person conducted by Torrance (1965) and

Petrosko (1983)and speculated on the type of potent ial stressors a

creative person may encounter in an organizational situation.

Reviewing one of the earliest notions of the creati ve process, he

noted that the transactional stages of creative pro cess are especially

stressful. (stress and coping the Indian experience )

The Yerkes-Dodson law, indicates that stress leads to improved

performance up to an optimum point .Beyond the opti mum point,

further stress and arousal have a detrimental affec t on performance.

Therefore, healthy amounts of eustress are desirabl e to improve

performance by arousing a person to action. It is i n the midrange of

the curve that the greater performance benefits fro m stress are

achieved.

Work Related Stress-Causes and Consequences: Some o f the

researchers reviewed on work related stress further segregated

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stress into two type good and bad (Minirth et al, 1 986). The “good”

stress is also referred to as “eustress”. This posi tive kind of stress is

usually experienced at times of happiness fulfilmen t or satisfaction.

The “bad” stress or “distress” is usually the resul t of excessive

levels of continuing, negative stress.

Cooper (2001) reiterates the statement that some am ount of stress is

necessary for everyday living and, in lesser amount s, for learning

and growth. To be an effective employee or employer , the ability to

better handle and manage these necessary life stres sors must be

learned and practiced. Stressors are differentiated from stress by its

definition as a cause of stress.

A 1999 study by the national institute for Occupati onal Safety and

Health (Atkinson, 2000) reports several aspects of work that generate

stress when handled improperly or inappropriately. They include

task design (i.e inadequate communication and lack of employee

participation in decision making) and personal rela tionship (i.e little

or no support from co-workers/supervisors, inferior social

environment). Increased stress has also been associ ated with work

roles (i.e Uncertain or conflicting job expectation s), career concerns

(i.e job insecurity, lack of growth opportunities o r internal

advancement), and environmental conditions (i.e dan gerous or

unpleasant physical surrounding)

A study by ((Einar M de Croon and Judith K Sluiter, 2004,Vol 89 No3))

was based on turnover model that combine existing o rganizational

stress theory and job transition theory and job tra nsition theory. It

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was a two year longitudinal study examined antecede nts of turnover

amongst Dutch truck drivers. The contributions made by these study

was examination of a voluntary turnover model that integrated

existing organizational stress theory i.e addressin g turnover

antecedents and consequences. Affect one’s work and one

expectation of the benefits that should be derived from work and

career.

2.2 SOURCES OF MANAGERIAL STRESS:

Sources if managerial stress have been well documen ted since the

late 1970s. Ivancevich and Matteson (1980) identifi ed four categories

of work stressor: Physical environment, individual level (a mixer if

climate, structure, job design and task characteris tics). Quick and

Quick (1984) proposed four categories of stressors: task demands,

physical demands and interpersonal demands. Paul E Spector, he

mentions the tested three contrasting theories abou t the sequential

process theories about the sequential process of th e three

dimensions of burnout (i.e exhaustion, Cynicism and professional

efficacy) as measured by the Maslach Burnout Invent ory- general

Survey(MBI-GS). I Shou University Kaohsiung, Taiwan had

investigated relationship of work stress and job pe rformance in Hi-

tech industry This study indicated that the mean va lue of the

perceived work stress was lower than average, and t he variables of

the gender, age, education, department, position an d work place

accounted for the differences in the work stress le vel. Natasja Van

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Vegchel, Jan De Jonge and Paul A. Landsbergis (2005 ) This study

the theoretical issues involving different interact ion effects between

job demands and job resources, accompanied by a tho rough

empirical test of interaction terms n the demand-co ntrol (DC) model

and the effort- reward imbalance (ERI) model in rel ation to employee

health and wellbeing (i.e exhaustion, psychosomatic health

complaints, company- registered sickness absence). Analysis was

conducted among 405 nursing home employees.

Oi-ling Siu Paul Spector, Cary L Cooper, Luo Lu , S hanfa

Yu(2002)studied, Managerial Stress in Greater China : The Direct and

moderator Effects of Coping Strategies and Work Loc us of Control.

This study examine the direct and moderator effects of coping

strategies (control and support coping) and work lo cus of control

(externality) on the stressor- strain relationships among managers in

Greater China (the people’s Republic of China (PRC) .

Jeffery A LePine, Marcie A. Le Pine, and Christine L Jackson

University of Florida (2004)- ‘Challenges and Hindr ance Stress:

Relationship With Exhaustion Motivation to Learn, a nd Learning

Performance. This study talks of 696 learners, the authors that stress

associated with challenges in the learning environm ent and positive

relationship with learning performance and the stre ss associated

with hindrance in the learning environment had a ne gative

relationship with learning performance. They also f ound evidence

suggesting that these stress learning performance r elationship was

partially mediated by exhaustion and motivation to learn.

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Bernd Marcus and Heinz Schuler, ‘Antecedents of Cou nter

Productive Behaviour at Work: A general Perspective . Journal of

Applied Psychology 2004 in the present study, we th erefore adopted

the opposite view, looking at counterproductive beh aviour from a

general perspective.

Bernd Marcus and Heinz Schuler, ‘Antecedents of Cou nter

Productive Behaviour at Work study; we therefore ad opted the

opposite view, looking at counterproductive behavio ur from a

general perspective.

John Schaubroeck from Drexel University and Simon S .K. Lam

University of Honkong and Jia Lin Xie City of Unive rsity of Hong

Kong “Collective Efficacy Versus Self Efficacy in C oping Responses

to stressors and Control(2005)-This study talks abo ut the cultural

differences and efficacy perceptions influence the role of job control

in coping with job demand. Perceiving high control mitigating the

effect of demands on psychological health symptoms and turnover

intention among American bank tellers reporting hig h job self

efficacy.

Sharon Glazer and Terry A Beehr, (2005), Consistenc y of implications

of three role stressors across four countries. This paper tried to

bring out relationship between role stressors (ambi guity, overload,

and conflict) anxiety, commitment and turnover inte ntions were

examined. A survey of 1396 nurses in a total of 15 hospitals in

Hungary, Italy, UK and US.

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Cobb (1975) has the opinion that, "The responsibili ty load creates

severe stress among workers and managers." If the i ndividual

manager cannot cope with the increased responsibili ties it may lead

to several physical and psychological disorders amo ng them. Brook

(1973) reported that qualitative changes in the job create adjust

mental problem among employees. The interpersonal r elationships

within the department and between the departments c reate

qualitative difficulties within the organisation to a great extent.

There is evidence that role incumbents with high le vels of role

ambiguity also respond to their situation with anxi ety, depression,

physical symptoms, a sense of futility or lower sel f esteem, lower

levels of job involvement and organisational commit ment, and

perceptions of lower performance on the part of the organisation, of

supervisors, and of themselves (Brief and Aldag, 19 76; Greene,

1972).

According to French and Caplan (1975), "Pressure of both qualitative

and quantitative overload can result in the need to work excessive

hours, which is an additional source of stress." Ha ving to work under

time pressure in order to meet deadlines is an inde pendent source of

stress. Studies shown that stress levels increase a s difficult

deadlines draw near.

Stress develops when an individual feels he is not competent to

undertake the role assigned to him effectively. The individual feels

that he lacks knowledge, skill and training on perf orming the role

(stress, conflict management and counselling, p.283 ). Occupational

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stress is an increasingly important occupational he alth problem and

a significant cause of economic loss. Occupational stress may

produce both overt psychological and physiologic di sabilities.

However it may also cause subtle manifestation of m orbidity that can

affect personal well-being and productivity (Quick, Murphy, Hurrel

and Orman, 1992). Stress can be caused by environme ntal,

organizational, and individual variables (Matteson and Ivancevich

1999); Cook and Hunsaker 2001). Organizational vari ables have been

known to create stress for employees at the workpla ce (Greehaus

and Beutell 1985). Among the numerous organizationa l sources of

stress only five variables were investigated in thi s study namely

conflict blocked career alienation work overload, a nd unfavourable

work environment.

Role Conflict: Role Conflict can be described as th e simultaneous

occurrence of two (or more) sets of pressures, such that compliance

with one would make compliance with the other more difficult (Gill-

Monte et al 1993). Role conflicts have been found t o have a positive

relationship with job stress (Robert 1997). When in dividuals are

required to play two or more roles that work agains t each other, they

are likely to experience job stress. This is becaus e role conflicts

create expectations that may be hard to reconcile. Previous scholar

(for instance, Foot and Venne 1990; Rahim 1996) dis covered a

positive relationship between barriers to career ad vancement and job

stress. Miles and Perreault (1976) identify four di fferent types of role

conflict: 1. Intra-sender role conflict 2. Inter se nder role conflict. 3.

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Person- role conflict; 4. Role over load. The use o f role concepts

suggests that job related stress is associated with individual,

interpersonal, and structural variables (Katz and K ahn, 1978;

Whetten, 1978). The presence of supportive peer gro ups and

supportive relationships with super visors are nega tively correlated

with R.C. (Caplan et al., 1964).

Role Overload: Role overload can be understood as t he experience

of having the demands of a role exceed a person’s a bility In any

sector presently the main problem faced by managers is Role

overload. High target, high responsibility which ca uses the role

overloads. Role overload both qualitatively and qua ntitatively has

been empirically lunked to a variety of psychologic al, physiological

and behavioural (Beehr and Newman 1978; Miller and Ellis 1990).

Role Ambiguity: Role Ambiguity, another component o f role stress

can also be defined as a state of not having suffic ient information

about a task, especially about how to perform the t ask (Gill-Monte et

al 1993).

Role Stress is largely viewed as a direct consequen ce of either of its

components i.e. role conflict or role ambiguity, as experienced by the

members of an organization in a work setting.

Inter personnel stressors: Ivancevich and Matteson (1950)

indicate, "Lack of group cohesiveness may explain v arious

physiological and behavioural outcomes in an employ desiring such

sticks together." Workplace interpersonal conflicts and negative

interpersonal relations are prevalent sources of st ress (Dewe, 1993;

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Lang, 1984; Long et al., 1992), and are existed wit h negative mood

depression, and symptoms of ill health (Israel et a l., 1989; Karasek,

Gardell and Lindell, 1987; Snap, 1992). Stress is o ften developed

when an individual is assigned a major responsibili ty without proper

authority and delegation of power. Interpersonal fa ctors such as

group cohesiveness, functional dependence, communic ation

frequency, relative authority and organisational di stance between the

role sender and the focal persons are important top ics in

organisational behavior (Vansell, Brief, and Schule r).

Under participation: When the employee feels he has more potentials

than actually utilized by the organization also the employee is not a

part of decision making or any planning it can be c alled as under

participation Lack of participation in the decision making process,

lack of effective consultation and communication, u njustified

restrictions on behaviour, office politics and no s ense of belonging

are identified as potential sources of stressors. L ack of participation

in work activity is associated with negative psycho logical mood and

behavioural responses, including escapist drinking and heavy

smoking (Caplan et al., 1975).

Job stressors: Job stressors can be defined as orga nisational

aspects of the job that require physical and mental efforts (2001)

(2000) Stressors at the individual level have been studied more than

any other category. Intrapersonal conflict, Interpe rsonal relations,

Growth issues, Domestic issues is widely examined i ndividual

stressor (Mc Grath 1976 Newton and Keenan, 1987. A job stressed

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individual is likely to have greater job dissatisfa ction, increased

absenteeism, and increased frequency of drinking an d smoking,

increase in negative psychological symptoms and red uced

aspirations and self esteem (Jick and Payne, 1980). The use of role

concepts suggests that occupational stress is assoc iated with

individual, interpersonal and structural variables (Kutz and Kahn,

1978; Whetten, 1978).

Figure presents flowcharts that includes a list o f potential work

stressors and show the relationship between persona l attributes,

perception of stress, and social and personal copin g resources and

the final outcome, psychological response (i.e symp toms of mental

distress). These sources of work related stressor g roups reviewed in

the literature include intrinsic job conditions, in trinsic and extrinsic

rewards, work attributes and extra organizational o bligations. For

instance, under work attributes, the potential work stressors of pay

classification or occupation etc are listed in Figu re and discussed in

the appropriate literature review.

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Figure 2.1; Source; Job stress in changing workforc e, by Keita & Hurell, Jr., ed., 1996, p. 44, Copyright by American Psychological As sociation, Washington D.C.

Philips (1995) describes the stress cycle in terms of a 2x2 matrix (see

Fig) that contains the consequences to the employee of experiencing

one of the following four types of stress. The four types are healthy

stress, unproductive stress, too little stress and unhealthy stress

situations.

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Figure 2.2

(Manning, 1986) report two studies of occupational stress and it

relationship with antecedents variables and job per formance

conducted on nurses. It also included variables suc h as (sensitivity,

warmth, consideration and to lerance). And cognitiv e motivational

aspect such (concentration, composure, perseverance and

adaptability) (Tahira Mubashir, 2001), main objecti ve of this research

was to identify role of different contributing fact ors of job stress and

to investigate level of stress on those factors amo ngst different

departments of Wall’s Unilever Pakistan.

(Jiunn-Woei Lian): In the present research the auth or studied the

relationship amongst three variables job stress, jo b satisfaction ad

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life satisfaction by managerial and technical IS st aff respectively. The

findings include that managerial IS employees tend to have

significantly higher degree of job and life satisfa ction than their IS

technical counterpart.

2.3 CONSEQUENCES OF STRESS:

The effect of stress is closely linked to individua l personality. The

same level of stress affect different people in dif ferent ways and each

person has different ways of coping. Stress shows i tself number of

ways. For instance, individual who is experiencing high level of

stress may develop high blood pressure, ulcers, irr itability, difficulty

in making routing decisions, loss of appetite, acci dent proneness

etc. These can be subsumed under three categories:

Individual Consequences, Organizational Consequence s & Burnout

Individual consequences: The individual consequence s of stress

then are the outcomes that mainly affect the indivi dual. The

organization also may suffer, either directly or in directly, but it is the

individual who pay the real price.

Stress may produce

1 a) Behavioural consequences: One such behaviour is smoking.

Research has clearly documented that people who smo ke tend

to smoke more when they experience stress. There is also

evidence that alcohol and drug abuse are linked to stress.

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b. Psychological: The psychological consequences of stress

relate to a person’s mental health and well being. When people

experience too much stress at work, they may become

depressed or find themselves sleeping too much or n ot

enough. Stress may also lead to lead to family prob lems.

c. Physical consequences: The medical consequence s of stress

affect a person’s physical well being. Heart diseas e and stroke,

among other illness, have been linked to stress. Ot her

common medical problem resulting too much stress in clude

headaches, backaches, ulcers and related stomach an d

intestinal disorders, and skin conditions such as a cne hives.

2. Organizational consequence: The organizational consequences of

too much stress are a decline in performance. For o perating

workers, such a decline can translate into poor qua lity work or a

drop in productivity.

3. Burnout: Burnout another consequences of stress , has clear

implications for both people and organization. Burn out is general

feeling of exhaustion that develops when a person

simultaneously experiences too much pressure and ha s to few

sources of satisfaction.

According to Minirth al (1986) in some instances hi gh level of

continuous stress (i.e) burnout may be result of un achievable

expectations held by both bosses and/or other emplo yees who

have worked with the employee over a long period of time and

seen him or her performing at these unsustainable l evels. Most

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people can tolerate acutely stressful periods for b rief segments of

time if a break is forthcoming and the employee is able to use it

as a time to recharge his or her batteries. Workpla ce pressures

and stressors will become less tolerable physically , mentally and

emotionally if experienced over long duration (frin gs 2001): Stein

and Brier, 2001). If left unaddressed, his stress c an lead to

burnout and possibly then to major depression and o ther equally

serious physical conditions. Minirth (1986) tell us that three major

area of burnout can be classified. As burnout is th e result of long

term stress it is a potential issue that can impact employee

performance and be impacted by work related situati ons. These

overlapping classifications are mental, physical an d spiritual.

Mental or emotional burnout manifest itself in the form of physical

ailments such as backaches, headaches, ulcers insom nia, high

blood pressure and so forth. Studies show that cont inued stress

and classification of burnout occurs in one’s spiri tual life.

Individual going through the type of stress often l ose perspective

and fail to recognize their own limitations. If the stress is of length

duration, the individual may reach a crisis of spir itual beliefs (i.e a

point of wanting to ‘give up')

Psychological Job strain: Psychological job strain is defined as

aversive and potentially harmful psychological reac tion of the

individual to stressful work. An extensive study by Zellers, Perrew

and Hockwarter (2000) indicates that the consequenc es of job

related stress on both the company and the individu al can be very

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costly. This study found that specific dimensions o f the

individual’s personality do significantly and diffe rentially impact

the level to which any of the three components of b urnout

(emotional exhaustion, diminished personal accompli shment and

depersonalization is experienced)

2.4 Literature on Process model of work stress:

The Mash Model: The' Coping and stress profile' is based on

theoretical model called the Multi system Assessmen t of Stress and

Health (MASH) Model. The MASH model builds upon pre vious stress

research to form a comprehensive bio psychosocial m odel of stress

and health (Aldwin,1984; Boss 1989; Doherty& Campbe ll, 1988).

Earlier work in the field of stress concentrated on stress and copying

at only one conceptual level, most often at the per sonal level or in a

work setting (Aldin, 1994). This study was to inves tigate the

relationship of work stress and job performance amo ng hi-tech

employees and discuss its relevance to vocational e ducation. The

author targeted the top 1000 companies in the hi-te ch industry from

the electron, semiconductor, information and commun ications fields

in Taiwan. The study results indicate that the mean value of the

perceived work stress was lower than average and th e variables of

the gender, age, education, department, position an d work place

accounted for the differences in the work stress le vel.

Natasja Van Vegchel (2005)-This study is based on theoretical

issues involving different interaction effects betw een job demands

and job resources, accompanied by a thorough empiri cal test of

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interaction terms the demand-control(DC) model and the effort-

reward imbalance (ERI) model in relation to employe e health and

wellbeing (i.e exhaustion, psychosomatic health com plaints,

company- registered sickness absence). Analysis was conducted

among 405 nursing home employees.

Demand Control Model: According to Karasek, the dem and control

model can effectively anticipate job performance. H e proposes that

when individuals are under high work demand and low work control,

some biological and psychological problems will occ ur. When

individuals are under high work demand and high wor k control they

display more positive job performance. As part of t heir overall

strategy to reduce work-related ill-health, the HSE has developed

some clear guidance on stress management standards. The

Management standards for work-related stress launch ed in

November 2004 encourages organizations to take prev entative

measures through a risk assessment - it includes a guide for

employers and an example stress policy. The risk as sessment

consists of organizations comparing themselves agai nst:

demand - being able to cope with the demands of t he job

control - having an adequate say over how work is done

support - having adequate support from colleagues &

superiors

roles – understanding roles and responsibilities

relationships – not being subjected to unacceptab le behaviours

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change – being involved in any organisation chang es.

Assessment will usually involve asking staff questi ons, through

some form of employee attitude survey, about how sa tisfied they are

with their jobs in the six areas identified. If pro blems are identified,

employers will then have to consult with staff abou t possible

solutions. Finally organisations will have to put i n place an action

plan spelling out what steps are to be taken, such as additional

training for managers, as well as a time frame for review.

2.5 RESEARCH GAP:

Anisman and Merali (1999) says stressors can be sep arated into two

classifications psychogenic and or physical tension (Lazarus and

Folkman ) talked about stressors as an event that c auses stress to

the individual when he or she appraises the demands as exceeding

the resources. Hsien-Chee (2002) explores the relat ionship among

leadership styles and subordinate personality chara cteristic and job

stress and turnover intentions. (Steve M Jex 2000) studied whether

coping style influence the impact of self efficienc y or stressors-

strain relationships, this study was conducted on U S army.

Natasja(2004) addresses theoretical issues involvin g different

interactions effect between job demands and job res ources through

demand control model.

Huarng (2001) had revealed that IT professionals ha ve higher level of

emotional exhaustion, which is the feeling of frust ration and tension,

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than police and nurses, Similarly for depersonaliza tion, which is

tendency to treat client as objects rather than peo ple, Huarg (2001)

found that IT professional have higher burnout tend encies than

teacher and welfare works, but lower than police an d nurses. The

increasing incidence of absenteeism and high turnov er rates are

indications that IT professionals are experiencing high level of job

related stress.

Many businesses are unaware of the stress being exp erienced by

their IT personnel (Thong and Yap, 2000). A factor that has

contributed to this unawareness is the limited theo retical or

empirical research that has examined the concept of stress amongst

IT professionals.

The current literature on job stress either like to link causes of stress

to personality variables, job related stress to cha nge in the

organization, performance linked or turnover intent ions or a

comparatively study between countries.

Most of the literature either shows the reasons or burnout or stress,

or there is a comparative study between countries b ut not many

studies are conducted in Indian IT sector. In India n context there is

some work done in manufacturing sector and BPO /KPO sector. The

present study discusses different occupational stre ssors in

Informational technology sector for junior and mid dle management

categories executives. The study was conducted for executives

located in two cities i.e Mumbai and Bangalore This study basically

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studies the antecedents and consequences of stress in these major

cities and give recommendations how to overcome the se problems.

Table 2.1: Summary of stress literature studies

Author Title What was studied

Minirth et al(1986)

Beating Burnout Reviewed on work related stress further segregated stress into two type good and bad. The “good” stress is also referred to as “eustress”. This positive kind of stress is usually experienced at times of happiness fulfilment or satisfaction. The “bad” stress or

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“distress” is usually the result of excessive levels of continuing negative stress.

Cooper-2001

Coping with stress Reiterates the statement that some amount of stress is necessary for everyday living and, in lesser amounts, for learning and growth. To be an effective employee or employer, the ability to better handle and manage these necessary life stressors must be learned and practiced. Stressors is differentiated from stress by its definition as a cause of stress.

Hsien-Chee Lee

The impact of leadership style on job stress and turnover intentions- Taiwan insurance industry

This research explores the relationship among leader’s leadership style, subordinate’s personality characteristic and job stress and turnover intentions

Steve M Jex, Paul D bliese & Steri Buzzell and Jessica Primeau(2000)

The impact of Self Efficacy on Stressor-Strain Relations: Coping style as an explanatory mechanism

This study was designed to examine whether coping style influence the impact of self efficiency on stressor- strain relations. Conducted on US army.

Lakwinder Signh Kaung and Raghbir Singh

Stress at work: An assessment of the magnitude of various organizational stressor

It identifies frequently reported stress symptoms and assess the magnitude of various organizational stressors producing stress.

Stephen Palmer, Cary Cooper and Kate Thomas(2001)

Model of Organiza-tional stress for use within an occupational health education / promotion or wellbeing programme- A short communica-tion;

This paper introduces a simple model of organizational stress which can be used to educate or inform employees, personnel and Health professionals about the relationship between potential work related stress hazards and its outcome.

Natasja Van Vegchel, Jan De Jonge and Paul

“Occupational stress in (Inter)action: the

Addresses theoretical issues Involving different interactions Effects between job demands and

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Landsbergis; interplay between job demands and job resources”

Job resources through Demand Control Model

Maria Jose Chambel and Luis Curral(2005)

Stress in Academic Life: Work Characteristics as Predictor of Student well being and performance

The relationship between Work characteristics, student well Being and performance was Assessed based upon Karasek and Theorell’s Job demand control model

Philiphs T Potter, Bruce W.Smith, Kari Strobel and Alex J Zautra(2001)

“Interpersonal Workplace Stressors and Well Being: A Multi Wave study of employees with and without Arthirities

The within person influence of Interpersonal stressors on Affective wellbeing and physical Wellbeing was in vestigated on 109 women with and without Arthiritis patient.

Salla Toppinen-Tanner, Raija Kalimo and Pertti Mutanen(2002

The process of burnout in white collar and blue collar jobs: eight years prospective study of exhausion

This study tested three Contrasting theories about The sequential process of the Three dimensions of burnout (exhaustion, cynicism and Professional efficacy) as Measured by MBI(GS)

Stephen Williams and Cary L Cooper, (1998)

Measuring Occupational stress : Development of Pressure Management Indicator

The Pressure Management Indicator (PMI) is a 120 item self report Questionnaire developed from (OSI) Occupational Stress Index

Goluaz Sadri and George A Marcoulides

(1994)

The Dynamics of Occupational Stress: Proposing a Testing a Model.

This study tested a model of stress In which occupational stress in Which personality (Type A and Locus of control) and coping Strategies were predicted to Precede and determine the Perception of job stressors.

Paul E Spector, Cary Cooper and Maria E Aguilar-Vafaie (2002)

A Comparative Study of Perceived Job Stessor Sources and Job Strain in American and Iranian Managers

Sample of Iranian and US managers Where compared on four sources Of job pressure(constrains, manager rial role, home work and non work Support and five strain (job satis- faction, mental strain, physical Strain, intention of quitting the Job and absence) and work

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Locus of control.

Sharon Glazer and Terry A. Beehr,; (2005)

“Consistency of implication of three role stressors across four countries” ; Journal of Organization Behaviour

Relationship between role stressors (role ambiguity, overload and Conflict), anxiety, commitment and Turnover intention were examined.

Timothy A Judge and Jason A Colquitt(2003)

“Organizational Justice and Stress: The Mediating Role of Work Family Conflict”

This study examined the relation-Ship between organ-izational justice And stress and whether family conflict was a mediator of the Relationship.

Adam Barsky, Carl Thoresen, Christopher R. Warren & Seth A. Kaplan(2004)

Modelling Negative affectivity and job stress: a conting-ency-based approach

This study proposes a Con-tingency approach, whereby the role of NA(negative affectivity) depends on nature of the strain construct under investigation.

Einar M de Croon and Judith K Sluitter and Jake P.J. Broersen (2003)

Stressful Work, pyschological job strain and turnover: A 2years prospec-ive cohort study of truck Drivers.

This study was based on turnover that combine existing Organisational stress theory and job Transition theory, it was a two year Longitudinal study examined Antecedents of turnover amongst Dutch truck drivers.

Harry Garst, Micheal Frese and Peter C M Molenarr (1999)

The Temporal Factor of Change in Stressor- Strain Relationships: A Growth Curve Model on a Longitudinal Study in East Germany,

Study the relationship between work Stressors and strains in East Germany The result showed that both the state and trait components of strain are affected by stressors.

Karen Keely and Mark Harcourt; -118(2001)

“Occupational Stress: A Study of the new Zealand Reserve Bank”,

This study test Karasecc theory using A sample of employees from Reserve Bank of New Zealand.

Iain L Densten, -(2001)

“Re-thinking burnout”, Journal of Organizational Behaviour, Vol 22, 833

The Conceptualization and psychometric properties of The Maslach Burnout Inventory was examined by this study.

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Paul. Spector, ary Cooper, Maria E Aquilar-Vafarie.(2002)

The process of burnout in white collar and blue collar job’: eight year prospective study of exhaustion

Interpretation of observed Relations between job stressors and job stain in cross sectional survey is conducted.

Oi-ling Siu Occupational Stressors and Wellbeing among Chinese Employ-ees: The Role of Organizational commitment

This study examines occupant-ional Stressors and well being of blue and White collar occupation with Chinese and Hong Kong samples using Standardised instrument used in Western Research.

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CHAPTER III

RESEARCH METHODOLOGY

3.1 PURPOSE OF THE STUDY:

Job stress can occur for everyone in any position i n any industry.

Stress can affect high level executive, upper and m iddle manager.

The various stress relating problems like coronary heart disease

hyper tension, diabetics, gastrointestinal disorder s, peptic ulcer,

asthma, migraine, alcoholism, drug addiction, depre ssion etc are

accountable for poor health. These problems are fur ther affecting

organizational performance adversely by contributin g to poor

productivity, high employee turnover and higher deg ree of job

satisfaction.

The increased stress related costs are fostering th e organization to

identify the various approaches to study stress at work. The present

research is designed to investigate the relationshi p and impact of

work related stress on managers by testing for rela tionship between

causes of stress in IT sector with reference to dem ographic,

independent variables i.e age, gender, level, years of experience,

total years in IT sector, income and consequences o f their stressors

like physiological, behavioural and psychological.

3.2 IMPORTANCE OF THE STUDY

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Stress is becoming an increasingly global phenomeno n affecting all

countries, all professions and all categories of wo rkers, families and

society in general. There is evidence that the expe rience of stress at

work is associated with changes in both behaviour a nd physiological

function, which may both be detrimental to employee s' health. Stress

may contribute to the development of various sympto ms of

occupational ill health and of physical and psychol ogical disorders.

The emerging approach for intervention focuses on a pro-active

response to stress, with emphasis on preventive mea sures and

elimination of the causes of stress, rather than on the treatment of its

effects. This very complex issue is covered by a br oad field of

research activities. The Information Technology (IT ) is no exception

in this respect with an increasing employment incre asing

employment in recent years. Although general manage ment is a high

stress occupation higher due to the conflicting dem ands of

completing a project on time, within budget, to qua lity and satisfying

stakeholders.

Professor Robert Karasecc recommends a different ap proach based

on work redesign for greater job enrichment. He arg ues that stress is

caused by heavy work demands in the job itself, whi ch the unskilled

employees with little control over how the work is done cannot adapt

to or modify. Total IT sector comprise of 5.7% of I ndian GDP.

Different articles and research shows that one of t he main problems

this sector is facing is stress. This present study will help to identify

different stressors in this sector and consequences of this stress

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amongst the junior level managers and senior manage rs. Also will try

to recommend several ways to overcome stress.

3.3 SCOPE OF THE STUDY:

The scope of the study has been designed to know t he stressors of

information technology sector.The sample size inclu des 515

managers at two levels i.e senior level and junior level in the major

two IT hubs Bangalore and Mumbai.The study also try to find out

whether the causes of stress and consequences of s tress in IT

sector and tried to find whether there is linkage between causes of

stress and consequences of stress. To identify the group which is

highly affected by stress and also the consequences of stress ie.

Physiological, behavioural, psychological Through t his study can

also help us to give some recommendations for reduc ing stress

3.4 STATEMENT OF RESEARCH OBJECTIVE:

1) To identify the job related stressors for manage rs in

Informational Technology sector.

2) To identify the sources of stress with context t o role

related, Job Related, Interpersonal, Intra per sonal and

Organizational.

3) To investigate the cause and impact of work rela ted

stress on managers with reference to demographic

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independent variables (age, gender, level of manage rs,

years of experience, income and variables of stress ors.

4) To study the consequences of these stressors i.e

physical, behavioural and psychological on the

managers with reference to demographic independent

variables.

5) Give recommendations as to factors which are

responsible for stress and how to overcome these

problems

3.5 POPULATION AND SAMPLING:

Sampling is a process of selecting a (few sample) from a bigger

group (the sampling population) to become the basis of estimating

or predicting the prevalence of an unknown piece of information,

situation or outcome regarding the bigger group.

Population: This is not the entire population of a given geographical

area, but the predefined set of potential responden ts (elements) in a

geographical area. In the present research the enti re population is IT

managers all over India. In the present study the t wo major IT hubs c

were selected i.e Mumbai and Bangalore. The potenti al responsents

are the managers i.e Junior and the Senior level of the managers.

The sample size was than calculated as follows:

Sample Size Calculation:

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n = (Zs)²

e

z = The ‘z’ value represents the z score from the s tandard normal

distribution of the confidence level desired by the researcher.

Z = 1.96, equivalent to a 95 per cent confidence le vel.

S = The ‘s’ represent the population standard dev iation for the

variable which we are trying to measure.-.686

E: The third value required for calculating the sam ple size required

is’e’ called tolerant error in estimating the varia ble .In the present

research the value is 10%

. n= (Zs)²

e

= (1.96*.686) ² = 180

(.10)²

From the sample size calculation the sample size se lected was 600

S r Name of the city Number of

Companies

Number of

managers

targeted

Number of

managers

actually

responded

1 Mumbai 5 300 255

2 Bangalore 6 300 257

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3.6 SAMPLING FRAME :

Even though it is relatively easy task to define a target population for

a study, it is much more difficult to identify the list every member of

such population, from which we can realistically se lect a sample for

our research. In the present research the sample po pulation was the

IT managers from large scale IT companies. The comp anies selected

from the list of the directory included major IT in dustries like IBM,

Infosy, Oracle, Geometrics etc The area selected w as Mumbai and

Bangalore. The sample respondent was the Senior Lev el Managers

like Leader, Program Managers, Project Managers, Pr oduct

Managers, HR Managers, Senior Business Development Managers

etc and the Junior level managers like Assistant pr ogrammers,

Business Developers, Software programmers, Associat e consultant,

Developers , Executives etc.

3.7 SAMPLING TECHNIQUE:

Convenient Sampling was adopted for the present research.

Amongst the non probability techniques like Judgmen t sampling,

Quota sampling, Snowball sampling and convenient sa mpling

technique. Convenient sampling was used.

Convenient sampling refers to sampling by obtainin g units or people

who are most conveniently available. In the present study a cluster

of IT managers located in two cities i.e Mumbai and Bangalore were

selected.

3.8 WORKING HYPOTHESIS.

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HYPOTHESIS:

Gender:

Ho: There is no significant difference between str ess level in male

and in female.

H1: There is a significant difference between stre ss level in male

and in female

Managers level:

Ho: There is no significant difference in the stre ss level of Junior

Managers and Senior Managers

H1: There is a significant difference in the stres s level of Junior

Managers and Senior Managers

Location:

Ho: There is no significant difference in the stre ss level in Mumbai

and Bangalore

H1: There is a significant difference in the stres s level in Mumbai

and Bangalore.

WORKING EXPERIENCE IN THE SAME COMPANY:

H0: There is no significant difference in stress l evel of managers

with respect to their working experience in the sa me company.

H1: There is significant difference in the stress level of managers

with respect to their working experience in the sam e company

Total Work Experience

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H0: There is no significant difference in stress l evel of managers

with respect to their total working experience in t he information

technology sector.

H1: There is significant difference in the stress level of managers

with respect to their total working experience in t he information

technology sector.

Age:

H0: There is no significant relationship between a ge and stress level

of managers.

H1: There is a significant relationship between ag e and stress level

of managers.

Income:

H0: There is no significant relationship between i ncomes on stress

level of managers.

H1: There is a significant relationship between in comes on stress

level of managers.

Gender

HYPOTHESIS OF CONSEQUENCES

Gender

Ho: There is no significant difference in the cons equences of stress

by male and female managers.

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H1: There is a significant difference in the conse quences of stress

by male and female managers.

Location

H0: There is no significant difference in the cons equences of stress

in Mumbai and Bangalore.

H1: There is significant difference in the consequ ence of stress in

Mumbai and Bangalore

Level of managers

H0: There is no significant difference in the cons equences of stress

in Junior Managers and Senior Managers.

H1: There is significant difference in the consequ ence of stress in

Junior Managers and Senior Managers

Age:

H0: There is no significant difference in the cons equences of stress

in different age groups

H1: There is a significant difference in the conse quences of stress

in different age groups.

Years of Experience in the same company:

H0: There is no significant difference in conseque nces of stress

faced by managers with reference to years of experi ence in the

same company.

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H1: There is significant difference in consequence s of stress faced

by managers with reference to years of experience i n the same

company.

Total number of years of experience:

H0: There is no significant difference in conseque nces of stress

faced by managers with reference to total number of years

experience in IT sector.

H1: There is significant difference in consequence s of stress faced

by managers with reference to number of years exper ience in IT

sector

Income:

Ho: There is no significant difference in the cons equences faced by

managers with reference to their income.

H1: There is a significant difference in the conse quences faced by

managers with reference to their income.

3.9 DESIGNING OF THE STUDY AND DEVELOPMENT OF DATA

GATHERING INSTRUMENT:

The role of stressful life events in the aetiology of various diseases

has been a field of research for the last 25 years. It is increasingly

recognized that stress is one of the components of any disease, not

just those labelled ‘psychosomatic’

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Most investigator’s in India have made use of the Social

Readjustment Rating Scale (SRSS) developed by Holme s and Rahe

(1967). This scale is composed of 43 life event dra wn from nearly

5000 case histories of patients. Using this scale, one obtains a global

index of life stress in terms of ‘Life change unit ’(LCU). One the basis

of life events included in SRSS the authors have co nstructed a

‘Schedule of Recent Experience’ (SRE) which allows the respondent

to document for specified periods, the frequency of occurrences of

the various life events have been developed then s ince.

MEASUREMENT OF ROLE STRESS:

Pareek developed and standardized the organization al role stress

scale to measure role stress (1983). He noted that researcher were

done only on the role stresses, namely, role ambigu ity, role overload

and role conflict. However he found many other role stresses in

organization. However, he found many other role str esses in the

organizations. A more refined version of this instr ument, the ORS

Scale’, measured 10 types of role stress.

Briefly the role stressors are as follows:

1) Sole Role Distance

2) Inter role Distance

3) Role isolation

4) Role Ambiguity

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5) Role conflict

6) Resource Inadequacy

7) Role stagnation

8) Role Erosion

9) Role overload

10) Personal inadequacy

According to Pareek (1983), the ORS scale can be u sed for several

purposes. For example, it can be used to investigat e the nature and

dynamics of role stress in various organizations an d to develop

interventions for the use of individuals, groups an d organizations.

This instrument is currently one of the best instr uments available

today for measuring a wide variety of stress of rol e stress.

Another well known psychometric instrument is the Occupational

Stress Index which was constructed and standardized by Dr

Srivastava and Dr Singh (1981).The author framed 46 statements

covering all the relevant components of job life wh ich might cause

stress in one way or another. Of these 32 are true keyed and 18 are

false keyed. While constructing the scale items, ca re was taken to

ensure that responses to the various items clearly indicated the

extent to which the respondent was bothered by diff erent potentially

stressful situations at work. A 5 point Likert type scale ranging from

‘strongly disagree’ to ‘strongly agree’ was used on each other. Total

variables include Role overload, Role conflict, Rol e ambiguity, Job

stressors, Intra personal stressors, powerlessness, under

participation and low status. Also for studying the consequences of

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stressors a instrument used by International Stress Organization

was used. Total number of questions in the conseque nces is 20

questions. The consequences are measured in terms o f physical

consequence, psychological consequence and behaviou ral

consequence on a Likert 5 scale. As the moderating variables used

were gender, age, income, years of experience in th e same company

and overall years of experience also location was c onsidered.

The questionnaire survey was mailed to 600 manager s randomly

selected firms from a wide range of industry sector through the

Bangalore city and Mumbai city.

3.10 LIMITATIONS :

� Survey research inherently has certain limitations. First the use

of self report instrument presents certain limitati ons. It is not

possible to know the state of mind of respondents w hen they

complete the instrument.

� Sampling bias is another possible limitations becau se it was not

possible to conduct a random sampling or stratified sampling.

� Another limitation of the study concerns the speci fic variables

being studied. Due to space limitations only occupa tional

stressors are studied. All the factors which lead t o stress are

not covered. In the consequences, only three variab les are

covered. All the consequences are not covered.

� Out of the total IT hubs, only two cities are cover ed, other cities

may show a different picture.

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� Only the causes and consequences were studied. Diff erent

intervening variables like personality, leadership could be

added to the present study.

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CHAPTER IV

CONCEPTUAL ASPECTS OF STRESS

Modern life is full of stress. Urbanization, indust rialization, and the

increase in scales of operations are causing increa sing stresses. There are

the inevitable are causing increasing stress. Due t o which human

behaviour is purposive and goal directed. A series of activities are carried

out to achieve our goal. A may be immediate or shor t term. Movement

towards the goal is not easy. Hurdles may appear be tween self and the

objective. This reaction to a disturbing factor is nothing but stress. Stress

is defined as an adaptive response to an external s ituation that results in

physical, psychological and behavioural deviations for organizational

participation.

Stress is associated with constraints and demands. The former prevents

an individual from doing what he or she desires. Th e later refers to the loss

of something desired. Desiring to attend a social function but unable to do

so because of pressing official work amounts to a d emand.

Constraints and demand can lead to potential stress . When they are

coupled with uncertainty of the outcome and importa nce of the outcome,

potential stress becomes actual stress. Stress is h igh when there is

uncertainty of outcome and outcome is significant.

Sources of stress: Stressors generate from individu al, group and

organizational sources.

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In organization frequent causes of stress are task demand, role demands,

inter personal demands, job related stressors, grou p related stressors,

under participation, low status etc.,

1. Role Stress: Role space conflict: The three main roles an individual

occupies any conflicts within the field are referre d to as role space

conflicts or stress. These conflicts may be as foll ows:

1.1 Self Role Distance: This stress arises out of t he conflict

between the self concept and one’s expectations fro m the role

as perceived by the role occupant. If a person occu pies a role

which he or she subsequently finds is an conflictin g with his or

her self concept, the person feels stress.

1.2 Intra role conflict: Since the individual learn s to develop

expectations as a result of socialization and ident ification with

significant others. It is quite likely that he or s he may see some

in comp ability between the various expectations(fu nction) from

his or her role this may cause stress.

1.3 Role Stagnation: As the individual grows physic ally he or she

also grows in the role the individual occupies in a n

organization. He or she expects to learn new things , take up

challenging task, prepare for higher responsibiliti es. When the

role does not provide such opportunities , the indi vidual

experiences role stagnation.

1.4 Inter role distance: The individual occupies mo re than one role.

There may be conflict between two roles he or she o ccupies.

For eg as a executive in the organization and a fam ily role. The

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demand from organizational problem at same time whe n the

individual is not able to manage leads to stress.

2. Role ambiguity: When the individual is not clear about the various

expectations people have from his or her role or sh e faces the

conflict which may be called as role ambiguity. Rol e ambiguity may

be in relation to activities, responsibilities, pro prieties, norms, or

general expectations. Generally role ambiguity is e xperienced by

people occupying roles newly created in the organiz ation, roles in

organizations undergoing change, or process roles.

3. Role Conflict: Feeling unable to satisfy multipl e, possible conflicting

performance expectation. When an employee is not ab le to satisfy

different roles which he is expected to play like a professional role ,

a family role , a social role etc he gets stressed out.

4. Role Overload: When the role occupant feels that there are too many

expectations from the significant role senders in t he role set, he or

she experiences role overload. Role overload has be en measured by

asking questions about people’s feelings on whether they could

possibly finish work give to them during a modified workday and

whether they felt that the amount of work they did might interfere

with how well it was done. More executive role occu pants

experiences role overload. Role overload is more li kely to occur in

the absence of power ceded to role occupants, in la rge variation in

expected output, and when delegation does not resul t in more time

as expected.

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5. Inter personal demands: Conflicting personalitie s and behaviour

may cause stress. Conflict can occur when two or mo re people must

work together even their personalities, attitudes a nd behaviours

differ.

6. Organizational stressors : Organizational stress ors like its working

climate, organization structure, issues like under participation, low

status etc are few causes of stress.

CONSEQUENCES OF STRESS:

There are four basic levels of stress. The first is the normal initial response

and it’s characterized by increased heart beat rate s, increased blood

pressure, dilation of pupils, sweat in palms and re duced activity in the

stomach. In the present model it is treated at phys ical consequences.

At the second level there is more irritation, stutt ering and stammering,

increased blood pressure, dilation of pupils, sweat in palms and reduced

activity in the stomach. In the present model it is treated at physical

consequences.

At the second level there is more irritation, stutt ering and stammering,

difficult in concentration, restlessness, lack of a ppetite, getting irritate,

feeling jealous, entering into conflict unnecessari ly etc. This is treated as

behavioural problems in the present study.

At the third level, there would be more mental rela ted problems like feeling

lonely, feeling depressed, drinking problem, smokin g problems etc are

psychological problems.

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C

Figure 4.1

Hypothesis are framed based on the variables based on causes of stress

and effect of stress i.e physiological, behavioral and psychological effect

of these variables and the intervening variable are the demographic

profiling of the managers

CONCEPTUAL FRAMEWORK OF THE STUDY:

Causes of

stress

Consequences

of stress

Intervening

variable

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Figure 4.2

To know the sources of stress a exploratory researc h was conducted

where it was found that the basic sources of stress in Information

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technology sector is intra personal stressors, inte r personnel stressors,

job related stressors and organizational stressors. Also from the literature

we can find there is some work done on few variable s. This conceptual

model is based on the exploratory research and lite rature where in we

would like to link the antecedents and the conseque nces of stress in

information technology sector.

A variable can be classified in a number of ways. T he classification

developed in the present study result after lookin g at variables in three

different ways.

� The casual relationship’

� The design of the study

� The unit of measurement.

In attempt to investigate a casual relationship or association, three sets of

variables are operating.

� Change variable which in the present study is the a ntecedents of

stress

� Outcome variable which in the present study is the

consequences of stress

� Lastly connecting or linking variables, which in ce rtain situation

are necessary to complete the relationship between causes and

affect.

� So it is as follows:

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Table 4.1 Operational Definition

Demographic Variable Definition Measurement

• Designation/Level Refers to

designation of the

managers

Senior Level include

Program Manager,

Senior Consultant,

Operational Managers,

Product Manager, Head

of the Department,

Leader and Project

Manager.

Junior level include:

Developers, Business

Developer, tester,

Software Programmers,

software engineer,

Associate consultant

and Junior HR

executive.

• Age Age has been

defined as

chronological age

Measured in the

categories

a) Less than 25

b) 25-30

c) 30-35

d) 35-40

e) 40 & above

• Location The place the

manager is

presently

Measured in two

categories Mumbai &

Bangalore

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employed

• Gender Gender in this

study is

operationalized as

a binary construct

Male and Female

• Years of experience The number of

years the

employee has

been working in

the same

company

a) 0-5

b) 5-10

c)10-15

d) 15-20

e) above 20

• Total years of

experience in IT

department

This includes the

total experience of

managers in IT

department

a) 0-5

b) 5-10

c) 10-15

d) 15-20

e) above 20

• Income Income in this

study include the

yearly salary of

the manager

a)1-5 lakh

b) 5-10 lakh

c) 10-15 lakh

d) 15-20 lakh

e) 20 and above

CHAPTER VI

PILOT STUDY

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Occupational stress has been noted as an increasing problem for

employees in all sectors. We are living an era of g rowing complexities and

pressures where human constitution and capacities a re being taxed

severely. The stresses relating to job have become predominant feature of

modern life. This is the reason that systematic stu dies of stress in

organizational setting have increased dramatically over the past decade.

Recently job stress has is generally defined in tim es of relationship

between person and environment. Mc Grath (1976) has noted that stress

involves an interaction of person and environment. There is potential for

stress when an environmental situation is perceived as presenting demand

which threatens to exceed the person’s capabilities where he expects

substantial differentials in the rewards and cost f rom meeting the demand

versus not meeting it. Margolis and Kroes (1974) de fined job stress as a

condition worth interacting with employee character istics to disrupted

homeostasis is job related strain.

PURPOSE OF THE PILOT STUDY:

In social science research, it is advisable to take part in some

observation and as such the researcher has undertak en some ort of

preliminary survey or what is often called pilot su rvey. (Kothari 2005)

The present study adopts the structure of the Occup ational stress

Indicator (OSI) Ajay Srivastava as the theoretical framework of research. In

other words process of stress depends on the stress or exceeds the

individual’s capacity to cope. For instance workloa d is something that

causes a person to feel stressed when he/she thinks that he/she is unable

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to cope with the large workload. The Occupational s tress Index purposes to

measure the extent of stress which employee perceiv e. Once the

questionnaire was finalized the data was collected on a sample of 113 IT

Senior level and Junior level Manager.

The purpose of this study was:

1. To identify the questions which very difficult to comprehend and

based on the feedback make changes.

2. For checking the reliability of the questionnai re

3. For finding the validity of the questionnaire

4. For sample size calculation

Based on the objective of the pilot the data was co llected from total 113

managers. The reliability of the instrument was che cked by Cronbach

Alpha which was calculated as .917

Certain changes were made based on the suggestions received from the

managers who filled up the questionnaire. Few demog raphic variables were

added, also few questions was simplified.

6.1 Validity and Reliability

Validity is the property by which a questionnaire measures what it is

supposed to measure. If we want to measure attitude s towards

brands in terms of service and product features, th en that is what the

critical questions in the questionnaire should meas ure. The validity

of questions on a questionnaire is measures. Accord ing to kerlinger

(1973),’ The measuring what we think we are measuri ng?. Babies

(1990) write ‘validity refers to the extent to whic h an empirical

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measure adequately reflects the real meaning of the concept under

consideration’

It is very important to measure the validity of th e instrument. There

are several types of validity and the researcher ma y have to try to

prove validity of his construct through various met hods:

1. Content Validity: In measuring content validity both theory and the

measuring instrument are considered. Once it is est ablished that the

construct are meaningful hypothetical concepts, occ upational stress

dimensions of previous studies are used. The adequa cy of an

instrument can be tested either through convergent validity or

discrimination validity. Convergent validity involv es correlating the

results of the present study with pre existing vali dating scales. In

their absence or they have not been used, the const ruct validity of a

measure is shown by showing that it relates to othe r variables to

which it should be related (Cambell and Friske, 195 6; Green and Tull,

1980). Internal consistency therefore is a good tes t for content

validity.

2. Criterion validity: Criterion validity reflects the success of measures

used for prediction or estimation Cooper and Schind ler (2003)

suggest that any criterion measure must be judged i n terms of four

quantities 1. Relevance 2. Freedom from bias 3. Rel iability and 4.

Availability. A criterion is relevant if it is defi ned and scored in terms

we judge to be a proper measure. Freedom from basis is attained

when the criterion gives each respondent an equal o pportunity. A

reliable criteria is stable or reproducible. Finall y, information

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specified by the criterion should be available. Aft er these were

ensured, the criterion validity is established by t he ability to predict

the summed or averaged behaviour of large number of individuals.

3. Construct validity: It is most important type of validity that is the

strongest evidence that the measurement is appropri ate. The major

reason is that there is a strong link between theor y and empirical

measurement that the validate that the measurement are appropriate.

The major reason is that there is a strong link bet ween theory and

empirical measurement that the validity seeks to es tablish. Testing of

hypothesis can be followed up or a part of proving construct validity.

The hypothesis can be tested by discriminate validi ty or by

convergent validity.

Reliability

The use of this word is very often used in our live s. It is referred in

terms of dependable, consistence, predictable, stab le and honest. In

research reliability is the property by which consi stent results are

achieved when we repeat the measurement of somethin g. A

questionnaire used on a similar population that pro duces similar

result can be termed as reliable. Consistency of fo rm and manner of

asking questions (their exact wording, the amount o f structuring etc)

generally ensures reliability. Mainly reliability is a measure of how a

scale can be relied on to produce similar measureme nts every time

we use the scale.

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Mainly reliability is a measure of how a scale can be relied on to

produce similar measurements every time we use the scale.

Reliability for this study is estimated by three wa ys:

1. Cronbach’s alpha: Is the most common form of int ernal consistency

reliability coefficient Cronbach’s alpha is a lower bound for the true

reliability of the survey. Alpha equals zero when t he true score is not

measured at all and there is only an error componen t. Alpha equals

1.0 when all items measure only the true score and there is no error

component. The computation of Cronbach’s alpha is b ased on the

number of items on the survey and the ratio of the average inter item

covariance to the average item variance. (Co oper a nd Schindler,

2006 ; Bryman and Bell 2008)

2. Split – Half Reliability measures the degree of which the instrument

measures the same thing for two randomly selected g rops, ( Cooper

and Scindler 2006)’

3. Guttman’s lower bound (lambda1-6) are a set of s ix coefficient L1 to

L6.

L1: An intermediate coefficient used in computing the other lambdas.

L2: More complex than Cronbach’s alpha and preferr ed by some

researcher though less common.

L3: Equivalent to cronbach’s alpha

L4:Guttman split half reliability

L.5: Recommended when a single item highly covarie s with other

items, which themselves lack high covariances with each other.

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L6: Recommended when inter item correlations are l ow in relation to

squared multiple correlations.

Guttman recommends experimenting to find the split of items which

maximizes Guttman split. Half reliability (L4), the n using the highest

of the lower bound lambdas as the reliability estim ate for the set of

items (Cooper and Schindler 2006)

3) Parallel forms is a model that allow you to stat istically test for equal

means and variances. The strictly parallel model hy pothesizes that

they have the same variance but not necessarily the same mean. The

reliability estimate for the parallel model is equi valent to Cronbach’s

alpha (the estimates for the strictly parallel mode l is based on

cronbach’s alpha but is penalized for difference in the item value).

When the pool of items is large, the items may be r andomly selected

from the instrument (Cooper and Scindler 2006)

Table 6.1: Reliability Table

Type Coefficient What is measured Method used

Cronbach’

s alpha

Internal

Consistency

Degree to which instrument

items are homogenous and

reflect the same

Specialized

correlation

formulas

Split Half Internal

consistency

Degree to instrument

measures the same thing for

two randomly selected

groups

Specialized

correlation

formulas

Split Half Internal Degree to instrument Specialize d

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(Guttman’

s Lamda)

Consistency measures the same thing for

two randomly selected

groups

correlation

formulas

Parallel

forms

Equivalence Degree to which two

equivalent batteries of items

measure the same thing in

the same people

Correlation

Analysis of the pilot study:

Part 1- Analysis of Age component-

After finalising the questionnaire a pilot study wa s conducted on a sample

size of 106 managers in IT sector. The cities were Banglore, Mumbai and

Chennai.

On basis of the data received following steps were taken:

1. Reliability of the instrument .

To validate the instrument Cronbach’s Alpha was use d and it was.914

Table 6.2: Reliability Statistics

Cronbach's Alpha Cronbach's Alpha Based on

Standardized Items

.914 .917

Variables Items Scale Reliability

scores

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Demograp

hic

Gender

Age

Designation

Location

Years of service in IT

Total yrs of service

Income

Category

scale

Variables Items Scale Reliability

scores

Intra

personal

stressor

Role Overload

Role Ambiguity

Role Conflict

All measures on

likert scale 1 to 5

.815

Alpha

Spearman’s

8.14

Guttman’s

.803

Variables Items Scale Reliability

scores

Inter

personne

l stressor

Group

Pressure

Political

Pressure

All measures on

likert scale 1 to 5

Alpha .815

Spearman’s

8.24

Gutt man

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Routine

exclusive

demanding

Authority and

Responsibility

Lamda

.842

Variables Items Scale Reliability

scores

Job Related stressor Interpersonal

Conflict

Work related

pressure

Growth and

Development

Reward and

Recognizition

Lack of group

cohesiveness

All

measures

on likert

scale 1 to 5

Alpha.821

Spearman’s

Split half

Coefficnet.8

23

Guttman

.821

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Variables Items Scale Reliability

scores

Organizational

Stressors

Organization Climate Organization Structure Powerlessness Under participation

All

measures

on likert

.scale 1 to

5

Alpha.831

Spearman’s

Split.

816

Guttman

.822

Variables Items Scale Reliability

scores

Consequences

Physiological

stressors

Constipation

Headache ache Lack of Concentration Sweat Excessively Chest Problems

All

measures

on likert

scale 1 to 5

.825 Alpha.

.837

Spearman’s

Split

.836

Guttman

Behavioural Jealous All Alpha.

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Se

co

ndl

y

De

scr

ipti

ve

sta

tist

ics

was carried out for Causes and Consequences which i ncluded Mean,

Standard Deviation, Correlation, Chi-square test et c.

(Table 6.3) Causes of stress

N Mean Std. Deviation Variance

Role Overload 113 3.0280 .68895 .475

Role Ambiguity 113 2.9044 .64758 .419

Role Conflict 113 2.9044 .64758 .419

Inter personnel

Stressors

113 2.7997 .58553 .343

Job Related

Stressors

113 2.8637 .57896 .335

Powerlessness 113 2.7935 .68620 .471

Under participation 113 2.8673 .65811 .433

Low status 113 2.917 .47252 .223

stressors Over react

Impersonal

Conflict

measures

on likert

scale 1 to 5

.821

Spearman’s

Split.816

Guttman

.829

Pyschological - Feeling Lonely

- Depressed

- Smoking Habits - Drinking Habits - Emotional

All

measures

on likert

scale 1 to 5

Alpha.

.818

Spearman’s

Split.823

Guttman

.854

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Consequence 113 2.7080 .55764 .311

Valid N (leastwise) 113

I- Correlation

(A) Correlation between stress and Age-

oH : There is no relationship between age and stress

1H : There is a strong relationship between age and s tress.

oaH : There is no relationship between age and stress (Role

overload)

aH1: There is a strong relationship between age and s tress.

obH : There is no relationship between age and stress (role

ambiguity)

bH1: There is a strong relationship between age and s tress.

ocH : There is no relationship between age and stress (role

conflict)

cH1: There is a strong relationship between age and s tress.

odH : There is no relationship between age and stress

(interpersonnel stressor)

dH1: There is a strong relationship between age and s tress.

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oeH : There is no relationship between age and stress (Job

stressors)

eH1: There is a strong relationship between age and st ress.

ofH : There is no relationship between age and stress

(underparticipation)

fH1: There is a strong relationship between age and st ress.

ogH : There is no relationship between age and stress

(underparticipation)

gH1: There is a strong relationship between age and st ress.

ohH : There is no relationship between age and stress ( low

status)

hH1: There is a strong relationship between age and st ress.

Table 6.4: Correlation between Age and Stress.

VARIABLE CO-ORELATION Hypothesis

Role overload -.27 Accepted

Role Ambiguity -.16 Accepted

Role Conflict -.16 Accepted

AGE

Inter personnel stressors -.15 Accepted

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Job Related stressors -.22 Accepted

Powerlessness -.19 Accepted

Under participation -.12 Accepted

Low status .07 Rejected

Consequences -.005 Accepted

(III) Inferential Statistics

(A) Chi- Square test

0H : Stress is independent on age

1H : Stress is depend on age

aH0 : Stress is independent on age with reference to ro le overload

aH1 : Stress is depending on age with reference to role overload.

bH0 : Stress is independent on age with reference to ro le

ambiguity

bH1 : Stress is depending on age with reference to role ambiguity

cH0 : Stress is independent on age with reference to ro le conflict

cH1 : Stress is depending on age with reference to role conflict

dH0 : Stress is independent on age with reference to in ter

personnel stressors

dH1 : Stress is depending on age with reference to inte r-personnel

stressors

eH0 : Stress is independent on age with reference to jo b stressors

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eH1 : Stress is depending on age with reference to job stressors.

fH 0 : Stress is independent on age with reference to under

participation

fH1 : Stress is depend on age with reference to under

participation

gH0 : Stress is independent on age with reference to lo w status

gH1 : Stress is depend on age with reference to low sta tus

Table 6.5: Chi square between age and stress

VARIABLES CHI-SQUARE Hypothesis

AGE Role overload .50 Rejected

Role Ambiguity .98 Rejected

Role Conflict .98 Rejected

Inter personnel

stressors

.65 Rejected

Job Related stressors .16 Rejected

Powerlessness .49 Rejected

Under participation .31 Rejected

Low status .46 Rejected

Consequences .73 Rejected

Interpretation of Data:

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(I) Descriptive Measures-

(A) Table 7.1 interprets that Role overload causes maximum stress to the

managers. If we compare other variables there is a marginal

difference between them so these parameter to a cer tain extent are

responsible for stress.

(B) Standard Deviation for Role overload and Powerl essness is highest

amongst the entire variable. It means the consisten cy of these two

factors are less. Chances of employee leaving the o rganization is

more.

(II) Correlation :

Age is independent of all the factors except low s tatus. The statistics

interpret that all the null hypothesis is rejected and alternative

hypothesis is accepted at 95%level of significance. So data analysis

that there is no relationship between age and inter dependent of all

the variables i.e. Role Overload, Role Conflict, Ro le Ambiguity, under

participation, Powerlessness and Consequences. Only one variable

(low status) has a strong relationship with respect to the age. So

finally we analyse that causes of stress is directl y related with low

status level.

(Table 6.6) Correlation between causes and consequ ences

Causes and consequence

Co- Relationship

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relation

Role overload -.03 Negative

Role Ambiguity 0 No

Role Conflict 0 No

Inter personnel stressors .03 Positive

Job Related stressors -.015 Negative

Powerlessness .046 Positive

Under participation .002 Positive

Low status .01 Positive

� In the above data Interpersonal stressors, Under pa rticipation, and

Low status is positively correlated to consequences .i.e Greater this

factor higher will be stress which is lead in to co nsequences.

� Where as Job overload and Role Ambiguity are invers ely correlated

to consequences.

� Role Ambiguity and Role Conflict has no correlation with

consequences

Part II- Analysis of Gender component

(i) Table 6.7: Descriptive Statistics of Causes

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Male Female

Group Statistics

Mean S.D Mean S.D

Role overload 2.9846 .40213 3.0282 .45397

Role ambiguity 2.8889 .43887 2.9746 .43967

Role Conflict 2.9926 .28803 3.0000 .29007

Inter personal 2.9428 .38134 2.9892 .31040

Job related stressor 2.9259 .30293 3.0237 .33132

Under participation 3.3519 .68349 3.0734 .66686

Powerlessness 3.3148 .60303 2.9661 .66705

Low status 3.3889 .57826 3.1525 .69844

Based on the available method of data analysis this table interpret that

stress is more in female due to role overload, role ambiguity, job related

stressor and is more in male due to under participa tion, powerlessness and

low status. Standard Deviation is more in female du e to role overload, role

conflict, powerlessness and low status and in male it is higher in under

participation and inter personal so the consistency is less to stay in the

organization.

Inferential Statistics:

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Ho: There is no significant difference between stre ss level in male and in

female.

H1: There is a significant difference between stres s level in male and in

female.

Table 6.8: Independent t test for gender

Levene's Test

for Equality of

Variances

F Sig. t Df

Sig. (2-

tailed)

1.687 .197 .539 111 .591 Role

overload .542 110.888 .589

.858 .356 1.036 111 .303 Role

ambiguit

y 1.036 110.155 .303

.041 .840 .136 111 .892 Role

conflict

.136 110.252 .892

1.296 .257 .713 111 .478 Interpers

onel

stressor .706 102.369 .482

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.648 .422 1.633 111 .105 Job

related

Stressor

1.639 111.000 .104

.121 .728 -2.191 111 .031 Powerles

sness

-2.188 109.577 .031

.734 .393 -2.905 111 .004 Under

participat

ion -2.919 110.985 .004

2.649 .106 -1.949 111 .054 Load

status

-1.965 109.931 .052

Hoa : There is no significant difference between s tress level in male and

female due to role overload

H1a : There is a significant difference between st ress level in male and

female due to role overload.

Hob : There is no significant difference between s tress level in male and

female due to role ambiguity

H1b : There is significant difference between stre ss level in male and

female due to role ambiguity.

Hoc : There is no significant difference between s tress level in male

and female due to role conflict.

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H1c : There is significant difference between stre ss level in male and

female due to role conflict.

Hod : There is no significant difference between s tress level in male and

female due to interpersonal relationship

H1d : There is significant difference between stre ss level in male and

female due to inter personal relationship.

Hoe : There is no significant difference between st ress level in male and

female due to Job related stressors

H1e : There is significant difference between stre ss level in male and

female due to Job related stressors.

Hof : There is no significant difference between s tress level in male and

female due to powerlessness.

H1f : There is significant difference between stre ss level in male and

female due to powerlessness.

H0g : There is no significant difference between s tress level in male and

female due under participation

H1g : There is significant difference between stre ss level in male and

female due to under participation.

H0h : There is no significant difference between s tress level in male and

female due low status

H1h : There is significant difference between stre ss level in male and

female due to low status

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Sample interprets that t value is less than signif icant two tailed value ie we

accept the null hypothesis and reject the alternati ve hypothesis i.e there is

no significant difference between stress level in m ale and female due to

under participation, powerlessness and low status.

Sample says as t value is more than significant two tailed value we reject

the null hypothesis and accept the alternative hypo thesis i.e there is

significant difference between stress level in male and female due to role

ambiguity, role overload, inter personal stressors, job related stressors and

role conflict.

Table 6.9: Descriptive Statistics of Location:

Mumbai Bangalore

Group Statistics

N Mean S.D N Mean S.D

Role overload 74 3.0000 .45330 37 3.0405 .37558

Role ambiguity 74 2.9527 .45645 37 2.8784 .39362

Role Conflict 74 2.9784 .28394 37 3.0270 .30244

Inter personal 74 3.0639 .32228 37 2.7862 .32014

Job related stressor 74 3.0135 .33935 37 2.9162 .27640

Under participation 74 3.0721 .73252 37 3.4865 .50058

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Powerlessness 74 3.0473 .70063 37 3.2973 .55540

Low status 74 3.2387 .71836 37 3.3423 .50605

Stress is found higher in Bangalore compared to Mum bai due to Role

overload, role conflict, under participation, power lessness and low status

where as stress is found in Bangalore due to role a mbiguity, inter personal

stressors and job related stressors

Inferential Statistics:

0H : There is a no significant relationship between s tress and location.

1H : There is a significant relationship between stre ss and location

Table 6.10: Independent t test for location

Levene's Test for

Equality of Variances

t-test for Equality of Means

F Sig. t Df Sig. (2-tailed)

2.045 .156 -.469 109 .640 Role overload

-.499 85.239 .619

.060 .845 109 .400 Role ambiguity

.888 82.330 .377

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.736 -.833 109 .407 Role conflict

-.815 68.191 .418

.223 .638 4.288 109 .000 Inter personal

Stressor

4.298 72.543 .000

4.882 .029 1.510 109 .134 Job related

Stressor

1.617 86.487 .110

6.007 .016 -3.095 109 .002 Powerlessness

-3.499 98.611 .001

3.499 .064 -1.892 109 .061 Under participation

-2.043 88.462 .044

6.159 .015 -.785 109 .434 Low status

-.879 96.686 .382

Hoa : There is no significant difference between s tress level in Mumbai

and Bangalore due to role overload

H1a : There is a significant difference between st ress level in Mumbai

and Bangalore due to role overload.

Hob : There is no significant difference between s tress level in Mumbai

and Bangalore due to role ambiguity

H1b : There is significant difference between stre ss level in Mumbai and

Bangalore due to role ambiguity.

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Hoc : There is no significant difference between s tress level Mumbai

and Bangalore due to role conflict.

H1c : There is significant difference between stre ss level in Mumbai and

Bangalore due to role conflict.

Hod : There is no significant difference between s tress level in Mumbai

and Bangalore due to interpersonal relationship

H1d : There is significant difference between stre ss level in Mumbai and

Bangalore due to inter personal relationship.

Hoe : There is no significant difference between s tress level in Mumbai

and Bangalore due to Job related stressors

H1e : There is significant difference between stre ss level in Mumbai and

Bangalore due to Job related stressors.

Hof : There is no significant difference between s tress level in Mumbai

and Bangalore due to powerlessness.

H1f : There is significant difference between stre ss level in Mumbai and

Bangalore due to powerlessness.

H0g : There is no significant difference between s tress level in Mumbai

and Bangalore due under participation

H1g : There is significant difference between stre ss level in Mumbai

and Bangalore due to under participation.

H0h : There is no significant difference between s tress level in Mumbai

and Bangalore due low status

H1h : There is significant difference between stre ss level in Mumbai and

Bangalore due to low status

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Statistically it is proved that the null hypothesi s for all the variables

causing stress like role overload, role ambiguity, role conflict, job

stressors, powerlessness, under participation and l ow status against the

alternative hypothesis as the calculated t value is more than significant

value. So we conclude that there is significant dif ference between stress

level in Mumbai and Bangalore due to all variables of stress except

powerlessness and inter personal stressors.

Table 6.11: Descriptive statistics for Years of Exp erience:

>5 N-41 5-10 N-42 10-15 N- 30 Stress variables

Mean S.D Mean S.D Mean S.D

Role overload 3.0081 .47427 3.0992 .39313 2.8810 .40025

Role Ambiguity 3.0915 .42114 2.9107 .40130 2.7500 .46647

Role Conflict 3.0537 .26086 2.9714 .27076 2.9714 .34303

Inter personal

stressors

2.9512 .33655 3.0130 .33088 2.9253 .39047

Job Related Stressors

3.0000 .30496 2.9905 .32371 2.9321 .35282

Powerlessness 3.0488 .75484 3.1905 .67932 3.4286 .54325

Under-participation 3.0610 .64173 3.1548 .60976 3.1696 .76392

Low status 3.1626 .69571 3.3254 .59121 3.2857 .68322

In the descriptive statistics the stress level is h igher in the age group of

less than 5 years of experience due to role ambigui ty, Role conflict, Job

related stressors and for the age group of managers having experience

between 5 to 10 years of experience has to undergo stress due to inter

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personal stressors and low status and in managers h aving experience

more than 10 years in the same company faces stress due to

powerlessness, under participation .

Inferential Statistics:

0H : There is a no significant relationship between s tress and years of

experience in the same company

1H : There is a significant relationship between stre ss and years of

experience in the same company.

Table 6.12: ANOVA for Years of Experience

ANOVA

Sum of

Squares df Mean

Square F Sig.

Between Groups

.862 3 .287 1.589 .196

Within Groups 19.715 109 .181

Role overload

Total 20.577 112

Between Groups

2.055 3 .685 3.815 .012

Within Groups 19.572 109 .180

Role ambiguity

Total 21.627 112

Between Groups

.354 3 .118 1.440 .235

Within Groups 8.925 109 .082

Role conflict

Total 9.279 112

Between Groups

.154 3 .051 .425 .736

Within Groups 13.202 109 .121

Inter-personal

stressor

Total 13.356 112

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Between Groups

.118 3 .039 .376 .770

Within Groups 11.382 109 .104

Job related

stressor

Total 11.500 112

Between Groups

2.835 3 .945 2.064 .109

Within Groups 49.902 109 .458

Powerlessness

Total 52.737 112

Between Groups

.754 3 .251 .574 .633

Within Groups 47.755 109 .438

Under-participation

Total 48.509 112

Low Status Between Groups

1.241 3 .414 .973 .408

aH0 : There is no significant difference between years of experience in

the same company and stress level due to role overl oad

aH1 : There is a significant difference between years of experience in the

same company and stress level due to role overload .

bH0 : There is no significant difference between years of experience in

the same company and stress level due to role ambig uity

bH1 : There is significant difference between years of experience in the

same company and stress level due to role ambiguity .

cH0 : There is no significant difference between years of experience in

the same company and stress level due to role confl ict.

cH1 : There is significant difference between years of experience in the

same company and stress level due to role conflict.

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dH0 : There is no significant difference between years of experience in

the same company and stress level due to interperso nal

relationship

dH1 : There is significant difference between years of experience in the

same company and stress level due to inter personal relationship.

eH0 : There is no significant difference between years of experience in

the same company and stress level due to Job relate d stressors

eH1 : There is significant difference between years of experience in the

same company and stress level due to Job related st ressors.

eH0 : There is no significant difference between years of experience in

the same company and stress level due to powerlessn ess.

eH1 : There is significant difference between years of experience in the

same company and stress level due to powerlessness.

fH0 : There is no significant difference between years of experience in

the same company and stress level due under partici pation

fH1 : There is significant difference between years of experience in the

same company and stress level due to under particip ation.

gH0 : There is no significant difference between years of experience in

the same company and stress level due low status

gH1 : There is significant difference between years of experience in the

same company and stress level due to low status

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Based on the available method of data analysis this study used 1 way

ANOVA on the various independent and dependent vari ables. Thus from

the given table Sample we interpret that we reject the null hypothesis for all

the variables causing stress like role overload, ro le ambiguity, role conflict,

job stressors, under participation and low status e xcept for powerlessness

we accept the null hypothesis i.e there is no signi ficant relationship

between years of experience in the same company and stress caused due

to powerlessness and accept the alternative hypoth esis as the calculated t

value is more than significant value for all other variables. So we conclude

there is a significant difference between years of experience in the same

company and stress level due to all factors of stre ss except

powerlessness.

Table 6.13: Descriptive Statistics of Income:

>5 lakhs 5-10lakhs 10-15 lakhs Stress variables

N-41 N-42 N-28

Mean SD Mean SD Mean SD

Role overload 3.0081 .47427 3.0992 .39313 2.8810 .40025

Role Ambiguity 3.0915 .42114 2.9107 .40130 2.7768 .51523

Role Conflict 2.9107 .40130 2.9714 .27076 2.9714 .34303

Inter personal stressors

2.9512 .33655 3.0130 .33088 2.9253 .39047

Job-related

Stressors

3.0000 .30496 2.9905 .32371 2.9321 .35282

Powerlessness 3.0488 .75484 3.1905 .67932 3.4286 .54325

Under participation 3.0610 .64173 3.1548 .60976 3.1696 .76392

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Low status 3.1626 .69571 3.3254 .59121 3.2857 .68322

Data analysis that stress is high in the income gro up of Less than 5 lakhs

due to job related stressors. In the income group o f managers earning

more than 10 lakhs is due to powerlessness, under participation and

higher in the income group of 5-10 due to inter per sonnel stressors, low

status etc

Table 6.14: ANOVA FOR INCOME

ANOVA

Sum of

Squares df

Mean

Square F Sig.

Between Groups .862 3 .287 1.589 .196

Within Groups 19.715 109 .181

Role overload

Total 20.577 112

Between Groups 2.055 3 .685 3.815 .012

Within Groups 19.572 109 .180

Role ambiguity

Total 21.627 112

Between Groups .354 3 .118 1.440 .235

Within Groups 8.925 109 .082

Role conflict

Total 9.279 112

Interpersonal

Stressor

Between Groups .154 3 .051 .425 .736

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Within Groups 13.202 109 .121 Stressor

Total 13.356 112

Between Groups .118 3 .039 .376 .770

Within Groups 11.382 109 .104

Job-related

Stressor

Total 11.500 112

Between Groups 2.835 3 .945 2.064 .109

Within Groups 49.902 109 .458

Powerlessness

Total 52.737 112

Between Groups .754 3 .251 .574 .633

Within Groups 47.755 109 .438

Under-

participation

Total 48.509 112

Between Groups 1.241 3 .414 .973 .408

Within Groups 46.350 109 .425

Low status

Total 47.591 112

aH0 : There is no significant difference between years of experience in

the same company and stress level due to role overl oad

aH1 : There is a significant difference between yearly in come and stress

level due to role overload.

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bH0 : There is no significant difference between yearl y income and stress

level due to role ambiguity

bH1 : There is significant difference between yearly i ncome and stress

level due to role ambiguity.

cH0 : There is no significant difference between yearl y income and stress

level due to role conflict.

cH1 : There is significant difference between yearly i ncome and stress

level due to role conflict.

dH0 : There is no significant difference between yearl y income and stress

level due to interpersonal relationship

dH1 : There is significant difference between yearly i ncome and stress

level due to inter personal relationship.

eH0 : There is no significant difference between yearl y income and stress

level due to Job related stressors

eH1 : There is significant difference between yearly i ncome and stress

level due to Job related stressors.

eH0 : There is no significant difference between yearl y income and stress

level due to powerlessness.

eH1 : There is significant difference between yearly i ncome and stress

level due to powerlessness.

fH0 : There is no significant difference between yearl y income and

stress level due under participation

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fH1 : There is significant difference between yearly i ncome and stress

level due to under participation.

gH0 : There is no significant difference between yearly i ncome and stress

level due low status

gH1 : There is significant difference between yearly i ncome and stress

level due to low status

Based on the ANOVA method of data analysis interpre ts that null

hypothesis is accepted for role conflict we can pro ve that there is no

significance between yearly income and stress due t o role conflict where in

for all other hypothesis null hypothesis is rejecte d and alternative

hypothesis is accepted . So we conclude there is si gnificant between yearly

income and stress level due to all other stress var iables except role

conflict.

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CHAPTER VII

DATA ANALYSIS AND FINDING

7.1: Description of Sample:

Sr. No Demographic variable Frequency Percentage

1 Location

Mumbai 255 49.8

Bangalore 257 50.2

2 Gender

Male 325 63.5

Female 187 36.5

3 Level

Senior Managers 166 32.5

Junior Managers 345 67.5

4 Age

Less than 25 98 19.1

25 -30 208 40.6

30-35 135 26.4

35 and above 71 13.9

5 Length of service

0-5 yrs 186 36.3

5-10yrs 281 54.9

10-15 37 7.2

Above 15 8 1.6

6 Total work experience

0-5 72 14.1

5-10 203 39.6

10-15 74 14.5

15-20 156 30.5

Above 20 7 1.3

7 Income (lakhs)

1-5 125 24.4

5-10 242 47.3

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10-15 124 24.2

Above 15 21 4.1

Sample Description :

In the given sample the percentage of sample in bot h the cities is nearly

equal i.e in Mumbai it is 49.8% where as in Bangalo re it is 50.2%. In the

given sample total male managers are 325 i.e 63.5% where as female

managers are 36.5%.of the total population.

In the level category we have 67.5% of sample in ju nior management

category where in 32.5% in the Senior Level.

About Age . In the given sample of 512 ,19.1% of managers ar e in less than

25 years of age group, where as maximum in the age group of managers in

the age group of 25-35 i.e 40.6% . About 26.4% of m anagers are in 30-35%

age group and only 13.9% above 35 years of age grou p. From the sample

description we can find that there is a very young crowd in IT sector.

About number of years of experience in the same com pany . 36.3% of

managers have an experience less than 5 years about 54.9% have an

experience in the group of 5-10 years and only 7.2% in 10-15 years of

experience. If we look at the complete sample 1.36% of managers have an

experience above 15 years of age.

As in IT sector the attrition is very high we tried to find the frequency of

total work experience in industry. A total of 14.1% of managers have less

than 5 years of experience. Maximum i.e 39.6% havin g an experience of 5-

10 years and 15-20 years of experience the frequenc y is 30.5%.The least is

found in the group of above 20 years of experience i.e 1.3%. As IT sector

boomed in India after globalization so we can find very few in this group.

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47.3% of managers earn income of 5-10 lakhs per ann um. About 24.4% of

them earn in the range of 1-5 lakhs and 10-15 years respectively Only 4% of

managers earn above 15 lakhs per annum.

7.2 Reliability Statistics of Causes of stress

Cronbach's Alpha

Cronbach's Alpha Based

on Standardized Items N of Items

.821 .799 46

Split-Half

Coefficient

Guttman

Lambda

N of

items

.769 .803 46

7.2 A: Reliability Statistics for Consequences

Cronbach's Alpha

Cronbach's Alpha Based

on Standardized Items N of Items

.829 .831 20

Split-Half

Coefficient

Guttmann

Lambda N of Items

.692 .769 20

Reliability value of Causes of stress:

The Cronbach’s Alpha test of reliability value was .821

Split-Half Coefficient reliability value wa s .769

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Guttmann Lambda value was .803

Reliability value of Consequences of stres s:

The Cronbach’s Alpha test of reliability va lue was .829

Split-Half Coefficient reliability value w as ..692

Guttmann Lambda value was .769

7.3 DEMOGRAPHIC PROFILING OF MANAGERS IN IT SECTOR

In case of cross tabulation a test of significance called the chi-square test

can be used if two or more variables are significan tly associated with each

other. In the present data we would like to find wh ether there is significant

association between gender and level. The level of significant is 95 %. So if

the value is less than .05 then we interpret that t here is significant

association between gender and level.

Table No 7.3: GENDER - Location Cross tabulation

Total

Mumbai Bangalore

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GENDER Male 168 155 325

52.3% 47.7% 100.0%

Female 87 100 187

46.5% 53.5% 100.0%

Total 255 255 512

49.8% 49.8% 100.0%

Chi-Square Tests

Value df Asymp. Sig. (2-

sided)

Pearson Chi-

Square 2.585(a) 2 .275

Likelihood Ratio 3.250 2 .197

Linear-by-Linear

Association .953 1 .329

N of Valid Cases 512

a 2 cells (33.3%) have expected count less than 5. The minimum expected

count is .73.

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The data indicate that there is no significant rela tionship (p) between

gender and location. Population of Male Managers in IT sector is 52.3% in

Mumbai and in Bangalore is 47.7% where in Female ma nagers in Mumbai is

46.5% and in Bangalore is 53.5%.

COMPARATIVE GENDER AND LEVEL:

Table 7.4: GENDER * Level Cross tabulat ion

Level Total

Sr Level Jr Level

GENDER Male 101 223 324

31.2% 68.8% 100.0%

Female 65 122 187

34.8% 65.2% 100.0%

Total 166 345 511

32.5% 67.5% 100.0%

Chi-Square Tests

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Value Df Asymp. Sig. (2-sided)

Pearson Chi-Square .695(b) 1 .404

Continuity Correction(a) .541 1 .462

N of Valid Cases 511

a) Computed only for a 2x2 table

b) 0 cells (.0%) have expected count less than 5. The minimum expected

count is 60.75.

In the given sample 31.2% of male managers are in t he Senior level and

68.8% is in the Junior level where as in female the percentage is 34.8% in

Senior level and 65.5% in junior level. If we compa re we find that female

managers is comparatively more than the male manage rs in Senior

category than male managers. Also the data indicate there is no significant

relationship between (p=.404) between gender and De signations in IT

sector. We can conclude there is no disparities bet ween male managers

and female managers where as growth and promotions are involved.

Table 7.5: GENDER * Length of service in IT sector {Years} Cross tabulation

Length of service in IT sector {Years} Total

>5yrs 5-10yrs 10-15yrs

15yrs-

20yrs

GE

ND

ER

Male

123 176 23 3 325

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37.8% 54.2% 7.1% .9% 100.0%

Fem

ale 63 105 14 5 187

33.7% 56.1% 7.5% 2.7% 100.0%

Total 186 281 37 8 512

36.3% 54.9% 7.2% 1.6% 100.0%

Chi-Square Tests

Value Df Asymp. Sig.

(2-sided)

Pearson Chi-Square 3.007(a) 3 .391

Likelihood Ratio 2.898 3 .408

Linear-by-Linear

Association 1.791 1 .181

N of Valid Cases 512

a) 1 cells (12.5%) have expected count less than 5 . The minimum

expected count is 2.92.

In the demographic profiling we can interpret that male managers and

female managers are found more in the group 5-10 ye ars of experience and

in less female managers (2.7%) is compared to male managers(9%) less

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than managers in the years of experience 15-20. Als o there is no significant

relationship between the gender and length of servi ce in IT sector.

Gender and Total Work Experience:

(Table 7.6): GENDER * Total work experience {Years} Cross tabulation

Total work

exp >5yrs 5-10yrs 10-15 yr 15-20yr Total

GEN

DER

Male 47 132 41 100 325

15.5% 40.6% 12.6% 30.8% 100.0%

Female 25 71 33 56 187

13.4% 38.0% 17.6% 29.9% 100.0%

Total 72 203 74 156 512

14.1% 39.6% 14.5% 30.5% 100.0%

Chi-Square Tests

Value Df

Asymp. Sig. (2-

sided)

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Pearson Chi-Square 3.018(a) 5 .697

Likelihood Ratio 3.301 5 .654

Linear-by-Linear

Association .075 1 .784

N of Valid Cases 512

a) 4 cells (33.3%) have expected count less than 5 . The minimum

expected count is .37.

There is no significant association between gender and total work

experience. As p value is more than .05 at 95% of c onfidence level. Male in

age group of 5 to 10 years is more followed by 30.8 % in the total years of

experience is 15 to 20 years are more in male as we ll as in female.

(Table 7.7): GENDER * Annual income {INR-Lakhs} Cro ss tabulation

Annual income {INR - Lakhs} Total

1-5

lakhs

5-10

lakhs

10-

15lakhs

15lakhs

and

above

GE

ND

ER

Male

78 155 79 13 325

24.0% 47.7% 24.3% 4.0% 100.0%

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Female 47 87 45 8 187

25.1% 46.5% 24.1% 4.3% 100.0%

Total 125 242 124 21 512

24.4% 47.3% 24.2% 4.1% 100.0%

Chi-Square Tests

Value Df

Asymp.

Sig. (2-

sided)

Pearson Chi-Square .122(a) 3 .989

Likelihood Ratio .122 3 .989

Linear-by-Linear

Association .012 1 .911

N of Valid Cases 512

a) 0 cells (.0%) have expected count less than 5. T he minimum expected

count is 7.67.

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In the given data the maximum percentage of men ea rn in the range of 5 to

10 lakhs followed by male in the age group of minim um five years of

experience .i.e 25.1%. Similarly in female also 46. 7% of employees earn in

the range of 5 to 10 years of experience followed b y 25.1% and 24.1 earning

1-5 lakhs and 10 to 15 years of experience. Also fo und there is no

significant difference in the gender and total inco me earned.

(Table 7.8): GENDER * Age {Years} Cross tabulation

Less

than

5yrs

5-10 yrs 10-15yrs 15-20yrs Total

GE

ND

ER

Male

62 133 88 39 325

19.1% 40.9% 27.1% 12.0% 100.0%

Female 36 75 47 28 187

19.3% 40.1% 25.1% 15.5% 100.0%

Total 98 208 135 67 512

19.1% 40.6% 26.4% 13.9% 100.0%

Chi-Square Tests

Value Df Asymp. Sig. (2-

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sided)

Pearson Chi-Square 1.222(a) 4 .874

Likelihood Ratio 1.223 4 .874

Linear-by-Linear Association .091 1 .763

N of Valid Cases 512

a) 2 cells (20.0%) have expected count less than 5. The minimum expected

count is 1.46.

Majority of IT managers are in the category of havi ng 5 to 10 years of experience.

Similarly for the female employees also it is in th e same category and least is

above 15 -20 years of experience for both the categ ories. There is no significance

relationship between gender and years of experience .

(Table 7.9): Age {Years} * Annual income {INR - Lak hs} Cross tabulation

Annual income {INR - Lakhs}

1-5lakhs

5-10

lakh

10-15

lakh 15-20

Total

>25years 72 26 0 0 98

73.5% 26.5% .0% .0% 100.0%

25-30 yrs 53 133 18 4 208

25.5% 63.9% 8.7% 1.9% 100.0%

Age

{Years}

30-35 yrs 0 73 57 5 135

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.0% 54.1% 42.2% 3.7% 100.0%

35and

above 2 10 47 10 67

.2 14.9% 70.1% 14.9% 100.0%

Total 125 242 124 21 512

Chi-Square Tests

Value df Asymp. Sig. (2-

sided)

Pearson Chi-Square 354.408(a) 12 .000

Likelihood Ratio 368.068 12 .000

Linear-by-Linear Association 250.968 1 .000

N of Valid Cases 512

a) 6 cells (30.0%) have expected count less than 5. The minimum

expected count is .16.

The data indicate there is significant relationshi p between (p-.000) age and

income. Less than 25 years of male managers earn 26 .5% of income Also in the

similar age group around 54% of managers earn the s ame money at the age of 35

and above. Similarly in the age group of 30-35 ea rn a income as 54%.

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7.3 Descriptive Statistics of Causes of stress

(Table No 7.10): Descriptive Statistics of AGE

Variables N Mean Std. Deviation

125 242 124

<25 25-30 30-35

Mean S.D Mean S.D Mean SD

Role overload 3.2 0.7 3.01 0.57 2.95 0.61

Role Ambiguity 3.55 .38 3.51 .33 3.58 .37

Role Conflict 3.63 .24 3.59 .28 3.65 .28

Inter personal

stressors

3.06 .35 3.00 .34 2.93 .39

Job Related Stressors 3.06 .35 3.00 .34 2.93 .39

Powerlessness 2.89 .73 2.78 .65 2.76 .69

Under participation 6.66 1.44 6.56 1.29 6.69 1.17

Low status 6.66 1.44 6.56 1.29 6.69 1.17

Data interpretation:

Stress is more in age group less than 25 due to und er participation, low

status. Actually if we see in employees joining in this age group are more

of fresher and starters so chances are that they ar e not included in

decision making processes which causes these proble ms. In the age group

25-30 stress is more due to role overload, interpe rsonal, Job related

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stressors and powerlessness stress. Also in the age group of 35-40 stress

is less due to role overload.

(Table No 7.11) : Descriptive Analysis of Gender:

Variables N N

125 242

Male Female

Mean S.D Mean S.D

Role overload

3.0354 .62514 3.0321 .64423

Role Ambiguity 3.5631 .36571 3.5374 .36561

Role Conflict 3.6388 .26359 3.6000 .29476

Inter personal stressors 3.0034 .33355 2.9952 .425 06

Job Related Stressors 3.0034 .33355 2.9952 .42506

Powerlessness 2.7867 .68616 2.7932 .69305

Under participation 6.5826 1.30254 6.6988 1.29614

Low status 6.5826 1.30254 6.6988 1.29614

If we compare means for male and female we find tha t stress is more in

male due to interpersonal stressors and job stresso rs and less stress in

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under participation compared to females. More stres s is found in female

due to under participation. In all other variables like powerlessness, low

status, role ambiguity, role conflict you find stre ss is nearly same in male

as well as female.

(Table No 7.12): Descriptive statistics for Senior Level managers and Junior

Level Managers:

Variables N N

166 345

Senior Level Junior Level

Mean S.D Mean S.D

Role overload

3.0592 .62631 3.0208 .63501

Role Ambiguity 3.5271 .36205 3.5659 .36741

Role-Conflict 3.5711 .30052 3.6504 .25993

Inter-personal stressors 2.9813 .38981 3.0096 .359 66

Job-Related Stressors 2.9813 .38981 3.0096 .35966

Powerlessness 2.7510 .68331 2.8077 .69145

Under participation 6.6124 1.40240 6.6309 1.25201

Low status 6.6124 1.40240 6.6309 1.25201

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When the means where compared of Senior level manag ers like Project

manager, Program managers, Senior consultant, Senio r functional

managers stress is found in Junior management level like Assistant,

Developers, Testers, Software programmers, Soft Eng ineers and Associate

consultants due to role conflict, inter personal st ressors, Job related and

powerlessness than that of senior managers. For all other variables like

specifically role related, under participation, rol e ambiguity etc the are

less.

(Table 7.13): Descriptive statistics for loc ation:

Variables N N

255 255

Mumbai Bangalore

Mean S.D Mean S.D

Role overload

3.0569 .63640 3.0092 .62826

Role Ambiguity 3.6049 .35705 3.5049 .36818

Role-Conflict 3.6361 .26493 3.6157 .28463

Inter-personal tressors 3.0427 .38640 2.9592 .34820

Job-Related Stressors 3.0427 .38640 2.9592 .34820

Powerlessness 2.8418 .69607 2.7346 .67882

Under participation 6.6680 1.30297 6.5752 1.29890

Low status 6.6680 1.30297 6.5752 1.29890

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From the given facts stress is more in Mumbai compa red to Bangalore due

to role ambiguity, interpersonal stressors, job rel ated stress,

powerlessness under participation and low status.

(Table 7.14): Descriptive Statistics for Years of E xperience

Years of Exp <5 yrs N-98 5-10 yrs N-208 10-20 yrs N-205

Variables of

Stress Mean S.D Mean S.D Mean S D

Role overload 3.0986 .66574 3.1378 .60435 2.9309 .60415

Role Ambiguity 3.5714 .40455 3.5313 .35642 3.5704 .36351

Role Conflict 3.6469 .29400 3.6115 .26276 3.6207 .27457

Inter personal

stressors

3.0388 .33387 3.0649 .34427 2.9274 .37940

Job related

stressors

3.0388 .33387 3.0649 .34427 2.9274 .37940

Powerlessness 2.7313 .62528 2.9535 .71670 2.6346 .66651

Under

participation

6.8197 1.39149 6.5208 1.34080 6.6444 1.19507

Low status 6.8197 1.39149 6.5208 1.34080 6.6444 1.19507

Analysis: From the mean of the variables we can con clude stress is more in

the managers in the age group of 0-5 years of exper ience in the same

organization due to role overload, inter personnel stressors, job related

stressors, under participation and low status wher e as for managers who

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has worked more than 5-10 years of experience in th e same company get

stressed out due to Job related stressors and power lessness on the same

hand get less stressed out due to under participati on and low status also

managers above 10-15 get very used to working syste ms and processes

and doesn’t get stress out, and in 15-20 years of e xperience get stressed

out due to interpersonal relationships.

(Table 7.15): Descriptive Statistics for Total year s of experience in IT sector

Total Years of

Exp <5 yrs N-98 5-10 yrs N-208

10-20 yrs N-205

Variables of

Stress Mean S.D Mean S.D Mean S D

Role overload 3.0579 .78182 3.1461 .58421 3.0045 .53134

Role

Ambiguity

3.5417 .37529 3.5813 .38399 3.4730 .31123

Role Conflict 3.6361 .26287 3.6246 .27211 3.6081 .29132

Inter personal

stressors

3.0319 .29110 3.0483 .34746 3.0257 .40749

Job related

stressors

3.0319 .29110 3.0483 .34746 3.0257 .40749

Powerlessness 2.8241 .66894 2.7997 .70854 3.0586 .71802

Under

participation

6.6065 1.33019 6.5698 1.38232 6.7748 1.25708

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Low status 6.6065 1.33019 6.5698 1.38232 6.7748 1.25708

The data suggested that in the managers in the age group 5-10 years of

information technology face more stress than other groups and the

variables that lead to stress are role overload, jo b stressors, and

powerlessness. Secondly in the age group of 10-15 i t is found that

powerlessness causes more stress amongst manager. I n other variables

stress is more or less equal and stress is found mi nimum in the group of

15-20 yrs of experience whereas, the variables like role overload,

interpersonal stressors and job stressors. It is be cause mostly in this age

group the managers are settled and aware of occupat ional stressors and

can deal with these issues.

(Table 7.16): Descriptive statistics for Managers i ncome

Years of Exp <5 yrs N-98 5-10 yrs N-208 1 0-20 yrs N-205

Variables of

Stress Mean S.D Mean S.D Mean S D

Role overload 3.2013 .70084 3.0179 .57767 2.9530 .61064

Role

Ambiguity

3.5560 .38738 3.5165 .33969 3.5847 .37839

Role Conflict 3.5560 .38738 3.5165 .33969 3.5847 .37839

Inter personal

stressors

3.0664 .35263 3.0025 .34903 2.9371 .39209

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Job related

stressors

3.0664 .35263 3.0025 .34903 2.9371 .39209

Powerlessness 2.8933 .73030 2.7893 .65981 2.7608 .69005

Under

participation

6.6613 1.44925 6.5661 1.29384 6.6989 1.17519

Low status 6.6613 1.44925 6.5661 1.29384 6.6989 1.17519

From the given data we can analyze that Junior leve l managers in

income group of 1-5 lakhs face more stress in the v ariables role

overload, interpersonal stressors and Job stressors . Comparatively in

the income group of Rs 10-15 lakhs the managers fac e less stress in

the similar variables. In other income group the st ress is similar for all

the variables.

7.5 Inferential Statistics:

With inferential statistics, we tried to reach conc lusions that extend

beyond the immediate data alone. For instance, we u se inferential

statistics to try to infer from the sample data wha t the population

might think. Or, we use inferential statistics to m ake judgments of

the probability that an observed difference between groups is a

dependable one or one that might have happened by c hance in this

study. Thus, we use inferential statistics to make inferences from our

data to more general conditions; we used descriptiv e statistics

simply to describe what's going on in our data.

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Most of the major inferential statistics come from a general family of

statistical models known as the General Linear Mode l. This includes the t-

test, Analysis of Variance (ANOVA), regression anal ysis, and many of the

multivariate methods like factor analysis, multidim ensional

scaling, cluster analysis, discriminate function an alysis, and so on. In the

present study final analysis we used t test, Analys is of variance (ANOVA),

regression analysis etc

Hypothesis testing:

Ho: There is no significant difference between str ess level in male and in

female.

H1: There is a significant difference between stre ss level in male and in

female.

At 95% confidence level if the value is > .05 we ac cept the null hypothesis

and we reject the alternative hypothesis.

Table 7.17: Independent t-test for Gender

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t-test for Equality of Means

T Df Sig. (2-tailed)

.057 510 .955 Role overload

.056 378.383 .955

.764 510 .445 Role Ambiguity

.764 387.981 .445

1.534 510 .126 Role Conflict

1.488 353.577 .138

.242 510 .809 Interpersonal

stressors .227 318.217 .821

.242 510 .809 Job related

stressors .227 318.217 .821

-.104 510 .917 Powerlessness

-.103 384.720 .918

-.974 510 .331 Under participation

-.975 389.472 .330

-.974 510 .331 Low status

-.975 389.472 .330

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In the given data the value of all variables is mor e than 0.05. So we reject

the null hypothesis and accept the alternative hypo thesis that there is

significant difference between stress level in male and female.

Hoa: There is no significant difference between st ress level in male and

female due to role overload

H1a: There is a significant difference between str ess level in male and

female due to role overload.

Sample says as t value is less than significant two tailed value i.e 0.56< .95

we accept the null hypothesis and reject the altern ative hypothesis i.e there

is no significant difference between stress level i n male and female due to

role over load.

Hob: There is no significant difference between st ress level in male and

female due to role ambiguity

H1b: There is significant difference between stres s level in male and

female due to role ambiguity.

Sample says as t value is more than significant two tailed value i.e .0764 >

.445 we reject the null hypothesis and accept the alternative hypothesis i.e

there is significant difference between stress leve l in male and female due

to role ambiguity

Hoc: There is no significant difference between st ress level in male and

female due to role conflict.

H1c: There is significant difference between stres s level in male and

female due to role conflict.

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Sample says as t value is more than significant t v alue i.e 1.534(tvalue) >

.126 (sign two tailed value) so we reject the null hypothesis and accept the

alternative hypothesis. Where in we can say that th ere is significant

difference between stress level in male and female due to role conflict.

Hod: There is no significant difference between st ress level in male and

female due to interpersonal relationship

H1d: There is significant difference between stres s level in male and

female due to inter personal relationship.

Sample says t value is less that significant value i.e .242< .809 so we accept

the null hypothesis and reject the alternative hypo thesis. There is no

significant difference between stress level in male and female due to

interpersonal relationship.

Hoe: There is no significant difference between st ress level in male and

female due to Job related stressors

H1e: There is significant difference between stres s level in male and

female due to Job related stressors.

Sample says t value is less that significant value i.e .242< .809 so we accept

the null hypothesis and reject the alternative hypo thesis. There is no

significant difference between stress level in male and female due to job

related stressors.

Hof: There is no significant difference between s tress level in male and

female due to powerlessness.

H1f: There is significant difference between stres s level in male and

female due to powerlessness.

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Sample says t value is less that significant value i.e .104. <.917 so we

accept the null hypothesis and reject the alternati ve hypothesis. There is

no significant difference between stress level in J unior level managers and

Senior Managers due to powerlessness

H0g: There is no significant difference between st ress level in male and

female due under participation

H1g: There is significant difference between stres s level in male and

female due to under participation.

Sample says as t value is more than significant t v alue i.e .974 (tvalue) >

.330 (sign two tailed value) so we reject the null hypothesis and accept the

alternative hypothesis. Where in we can say that th ere is significant

difference between stress level in male and female due to under

participation.

H0h: There is no significant difference between st ress level in male and

female due low status

H1h: There is significant difference between stres s level in male and

female due to low status

Sample says as t value is more than significant t v alue i.e .975 (t value) >

.331( sign two tailed value) so we reject the null hypothesis and accept the

alternative hypothesis. Where in we can say that th ere is significant

difference between stress level in male and female due to low status

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Sample says that the null hypothesis is rejected fo r role ambiguity, role

conflict, under participation and low status, again st the alternative

hypothesis as the calculated t value is more than s ignificant value. For

other factors like role overload, interpersonal str essors, job related

stressors, powerlessness the t value is less than s ignificant value so we

accept the null hypothesis and reject the alternati ve hypothesis.

Hypothesis testing for Stress in Junior Level Manag ers and Senior Level

Managers

Ho: There is no significant difference in the stre ss level of Junior

Managers and Senior Managers

H1: There is a significant difference in the stres s level of Junior

Managers and Senior Managers.

7.18 Independent t-test forLevel

t-test for Equality of Means

t Df

Sig. (2-

tailed)

.644 509 .520 Role

overload .647 329.881 .518

Role -1.124 509 .261

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Ambiguity -1.130 330.154 .259

-3.069 509 .002 Role Conflict

-2.917 287.316 .004

-.809 509 .419 Interpersonal

stressors -.786 303.435 .432

-.809 509 .419 Job related

stressors -.786 303.435 .432

-.872 509 .384 Powerless

ness -.875 329.299 .382

-.150 509 .881 Under

participation -.144 295.008 .885

-.150 509 .881 Low status

-.144 295.008 .885

In the given data the value of all variables is mor e than 0.05. So we reject

the null hypothesis and accept the alternative hyp othesis that there is

significant difference between stress level in Juni or level managers and

Senior level Managers.

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Hoa: There is no significant difference between st ress level in Junior level

managers and Senior Level Managers due to role over load

H1a: There is a significant difference between str ess level in Junior level

managers and Senior Level Managers due to role over load.

Sample says as t value is .644 more than significan t two tailed value i.e .520

we reject the null hypothesis and accept the altern ative hypothesis i.e there

is significant difference between stress level in J unior Managers and

Senior Managers due to role over load.

Hob: There is no significant difference between st ress level in Junior level

managers and Senior Managers due to role ambiguity

H1b: There is significant difference between stres s level in Junior level

managers and Senior Managers due to role ambiguity.

Sample says as t value is more than significant two tailed value i.e 1.124. >

.261 we reject the null hypothesis and accept the a lternative hypothesis i.e

there is significant difference between stress leve l in Junior level managers

and Senior Managers due to role ambiguity

Hoc: There is no significant difference between st ress level in Junior

level managers and Senior Managers due to role conf lict.

H1c: There is significant difference between stres s level in Junior level

managers and Senior Managers due to role conflict.

Sample says as t value is more than significant t v alue i.e-3.069 (tvalue) >

.002 ( sign two tailed value) so we reject the null hypothesis and accept the

alternative hypothesis. Where in we can say that th ere is significant

difference between stress level in Junior level man agers and Senior

Managers due to role conflict.

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Hod: There is no significant difference between s tress level in Junior

level managers and Senior Managers due to interpers onal

relationship

H1d: There is significant difference between stres s level in Junior level

managers and Senior Managers due to inter personal relationship.

Sample says t value is more that significant value i.e . .809<.419 so we

reject the null hypothesis and accept the alternati ve hypothesis. There is

significant difference between stress level in Juni or level managers and

Senior Managers due to interpersonal relationship.

Hoe: There is no significant difference between s tress level in Junior

level managers and Senior Managers due to Job relat ed stressors

H1e: There is significant difference between stres s level in Junior level

managers and Senior Managers due to Job related str essors.

Sample says t value is more that significant value i.e -.809<.406 so we reject

the null hypothesis and accept the alternative hypo thesis. There is

significant difference between stress level in Juni or level managers and

Senior Managers due to job related stressors.

Hof: There is no significant difference between st ress level in Junior

level managers and Senior Managers due to powerless ness.

H1f: There is significant difference between stres s level in Junior level

managers and Senior Managers due to powerlessness.

Sample says t value is more that significant value i.e-.872 <.384 so we reject

the null hypothesis and accept the alternative hypo thesis. There is

significant difference between stress level in Juni or level managers and

Senior Managers due to powerlessness

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Hog: There is no significant difference between st ress level in Junior level

managers and Senior Managers due under participatio n

H1g: There is significant difference between stres s level in Junior level

managers and Senior Managers due to under participa tion.

Sample says as t value is less than significant t v alue i.e . -.150 (tvalue) >

.881( sign two tailed value) so we accept the null hypothesis and reject the

alternative hypothesis. Where in we can say that th ere is no significant

difference between stress level in in Junior level managers and Senior

Managers due to under participation.

H0h: There is no significant difference between st ress level in male and

female due low status

H1h: There is significant difference between stres s level in male and

female due to low status

Sample says as t value is less than significant t v alue i.e -.150 (tvalue) >

.881( sign two tailed value) so we accept the null hypothesis and reject the

alternative hypothesis. Where in we can say that th ere is no significant

difference between stress level in Junior level man agers and Senior

Managers due to low status

Sample says you that we reject the null hypothesis for role overload, role

ambiguity, role conflict, inter personal, job relat ed and powerlessness.

Hypothesis testing for Location:

Ho: There is no significant difference in the stre ss level in Mumbai and

Bangalore

H1: There is a significant difference in the stres s level in Mumbai and

Bangalore

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The alternative hypothesis as the calculated t valu e is more than significant

value. For other factors like powerlessness, under participation and low

status t value is less than significant value so we accept the null

hypothesis and reject the alternative hypothesis

At 95% confidence level if the value is > .05 we ac cept the null hypothesis

and we reject the alternative hypothesis.

In the given data the value of all variables is mor e than 0.05. So we reject

the null hypothesis and accept the alternative hypo thesis that there is

significant difference between stress level in Mumb ai and Bangalore

Hoa: There is no significant difference between st ress level in Mumbai

and Bangalore due to role overload

H1a: There is a significant difference between str ess level in Mumbai and

Bangalore due to role overload.

Sample says as t value is more than significant two tailed value i.e .852<

.395 we reject the null hypothesis and accept the a lternative hypothesis i.e

there is no significant difference between stress l evel in Mumbai and

Bangalore due to role overload.

Hob: There is no significant difference between st ress level in Mumbai

and Bangalore due to role ambiguity

H1b: There is significant difference between stres s level in Mumbai and

Bangalore due to role ambiguity.

Sample says as t value is more than significant two tailed value i.e 3.114 >

.002 we reject the null hypothesis and accept the alternative hypothesis i.e

there is significant difference between stress leve l in Mumbai and

Bangalore due to role ambiguity

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Hoc: There is no significant difference between st ress level Mumbai and

Bangalore due to role conflict.

H1c: There is significant difference between stres s level in Mumbai and

Bangalore due to role conflict.

Sample says as t value is more than significant t v alue i.e .837 (tvalue) >

.403( sign two tailed value) so we reject the null hypothesis and accept the

alternative hypothesis. Where in we can say that th ere is significant

difference between stress level in Mumbai and Banga lore due to role

conflict.

Hod: There is no significant difference between st ress level in Mumbai

and Bangalore due to interpersonal relationship

H1d: There is significant difference between stres s level in Mumbai and

Bangalore due to inter personal relationship.

Sample says t value is more that significant value i.e 2.564 > .011 so we

reject the null hypothesis and accept the alternati ve hypothesis. There is

significant difference between stress level in Mumb ai and Bangalore due to

interpersonal relationship.

Hoe: There is no significant difference between s tress level in Mumbai

and Bangalore due to Job related stressors

H1e: There is significant difference between stres s level in Mumbai and

Bangalore due to Job related stressors.

Sample says t value is more that significant value i.e . 2.564>.011 so we

reject the null hypothesis and accept the alternati ve hypothesis. There is a

significant difference between stress level in Mumb ai and Bangalore due to

job related stressors.

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Hof: There is no significant difference between s tress level in Mumbai

and Bangalore due to powerlessness.

H1f: There is significant difference between stres s level in Mumbai and

Bangalore due to powerlessness.

Sample says t value is more that significant value i.e . 1.760. <.079 so we

reject the null hypothesis and accept the alternati ve hypothesis. There is a

significant difference between stress level in Mumb ai and Bangalore due to

powerlessness

H0g: There is no significant difference between st ress level in Mumbai

and Bangalore due under participation

H1g: There is significant difference between stres s level in Mumbai and

Bangalore due to under participation.

Sample says as t value is more than significant t v alue i.e .806 (tvalue) >

.421( sign two tailed value) so we reject the null hypothesis and accept the

alternative hypothesis. Where in we can say that th ere is significant

difference between stress level in Mumbai and Banga lore due to under

participation.

H0h: There is no significant difference between st ress level in Mumbai

and Bangalore due low status

H1h: There is significant difference between stres s level in Mumbai and

Bangalore due to low status

Sample says as t value is more than significant t v alue i.e . .806 (tvalue) >

.421( sign two tailed value) so we reject the null hypothesis and accept the

alternative hypothesis. Where in we can say that th ere is significant

difference between stress level in Mumbai and Banga lore due to low status

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Sample says you that we reject the null hypothesis for all the variables

causing stress like role overload, role ambiguity, role conflict, interpersonal

stressors, job stressors, powerlessness, under part icipation and low

status. against the alternative hypothesis as the c alculated t value is more

than significant value. So we conclude that there i s significant difference

between stress level in Mumbai and Bangalore due to all variables of

stress.

Hypothesis testing for years of experience in the s ame company:

H0: There is no significant difference in stress l evel of managers with

respect to their working experience in the same co mpany.

H1: There is significant difference in the stress level of managers with

respect to their working experience in the same co mpany.

Table 7.19: ANOVA for years of Company Experience

df F Sig.

Between Groups 3 3.938 .009

Within Groups 508

Role overload

Total 511

Between Groups 3 1.467 .223

Within Groups 508

Role Ambiguity

Total 511

Between Groups 3 2.235 .083

Within Groups 508

Role Conflict

Total 511

Between Groups 3 1.367 .252 Inter personal

Stressors Within Groups 508

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Total 511

Between Groups 3 1.367 .252

Within Groups 508

Jobrelated

stressors

Total 511

Between Groups 3 .576 .631

Within Groups 508

Power lessness

Total 511

Between Groups 3 .545 .652

Within Groups 508

Under

participation

Total 511

Between Groups 3 .545 .652

Within Groups 508

Low status

Total 511

H0a: There is no significant difference in stress level of managers with

respect to their working experience in the same com pany due to role

overload

H1a: There is significant difference in the stress level of managers with

respect to their working experience in the same co mpany due to

role overload

Sample says as f value is 3.938 is more than signif icant f value i.e .009, we

reject the null hypothesis and accept the alternat ive hypothesis i.e there is

a significant difference in the stress level of man agers with respect to their

working experience in the same company due to role overload.

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H0b: There is no significant difference in stress level of managers with

respect to their working experience in the same com pany due to role

ambiguity

H1b: There is significant difference in the stress level of managers with

respect to their working experience in the same com pany due to role

ambiguity

Sample says as f value is 1.467 is more than signif icant f value i.e .223, we

reject the null hypothesis and accept the alternat ive hypothesis i.e there is

a significant difference in the stress level of man agers with respect to their

working experience in the same company due to role ambiguity.

H0c: There is no significant difference in stress level of managers with

respect to their working experience in the same co mpany due to

role conflict

H1c: There is significant difference in the stress level of managers with

respect to their working experience in the same co mpany due to

role conflict

Sample says as f value is 2.235 is more than signif icant f value i.e .083, we

reject the null hypothesis and accept the alternat ive hypothesis i.e there is

a significant difference in the stress level of man agers with respect to their

working experience in the same company due to role conflict.

H0d: There is no significant difference in stress level of managers with

respect to their working experience in the same co mpany due to

Inter personal stressors.

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H1d: There is significant difference in the stress level of managers with

respect to their working experience in the same co mpany due to

Inter personal stressors.

Sample says as f value is 1.367 is more than signif icant f value i.e .252, we

reject the null hypothesis and accept the alternat ive hypothesis i.e there is

a significant difference in the stress level of man agers with respect to their

working experience in the same company due to inter personal stressors.

H0e: There is no significant difference in stress level of managers with

respect to their working experience in the same co mpany due to

Job related stressors.

H1e: There is significant difference in the stress level of managers with

respect to their working experience in the same co mpany due to

Job related stressors.

Sample says as f value is 1.367 is more than signif icant f value i.e .252, we

reject the null hypothesis and accept the alternat ive hypothesis i.e there is

a significant difference in the stress level of man agers with respect to their

working experience in the same company due to inter personal stressors.

H0f: There is no significant difference in stress level of managers with

respect to their working experience in the same co mpany due to

powerlessness.

H1f: There is significant difference in the stress level of managers with

respect to their working experience in the same co mpany due to

powerlessness

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Sample says as f value is .576 is less than signifi cant f value i.e .631, we

accept the null hypothesis i.e there is a no signi ficant difference in the

stress level of managers with respect to their work ing experience in the

same company due to powerlessness

H0g: There is no significant difference in stress level of managers with

respect to their working experience in the same co mpany due to

under participation

H1g: There is significant difference in the stress level of managers with

respect to their working experience in the same co mpany due to

under participation

Sample says as f value is .545 is less than signifi cant f value i.e 652, we

accept the null hypothesis i.e there is a no signi ficant difference in the

stress level of managers with respect to their work ing experience in the

same company due to under participation.

H0h: There is no significant difference in stress level of managers with

respect to their working experience in the same co mpany due to low

status.

H1h: There is significant difference in the stress level of managers with

respect to their working experience in the same co mpany due to low

status

Sample says as f value is .545 is less than signifi cant f value i.e 652, we

accept the null hypothesis i.e there is a no signi ficant difference in the

stress level of managers with respect to their work ing experience in the

same company due to low status

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Sample says you that we reject the null hypothesis for the variables

causing stress like role overload ,role ambiguity, role conflict, interpersonal

stressors, job stressors against the alternative hy pothesis as the

calculated f value is more than significant value. Also we accept the null

hypothesis for powerlessness, under participation a nd low status. So we

conclude that there is no significant difference be tween stress level of

managers with respect to these variables.

Hypothesis testing for total number of years of exp erience in the IT

Company

H0: There is no significant difference in stress l evel of managers with

respect to their total working experience in the i nformation

technology sector.

H1: There is significant difference in the stress level of managers with

respect to their total working experience in the in formation

technology sector.

Table 7.20: ANOVA for number of years of experience in the IT Sector

Df F Sig.

Between Groups 5 3.644 .003

Within Groups 506

Role overload

Total 511

Between Groups 5 1.499 .189

Within Groups 506

Role Ambiguity

Total 511

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Between Groups 5 .561 .730

Within Groups 506

Role Conflict

Total 511

Between Groups 5 2.680 .021

Within Groups 506

Interpersonal

stressors

Total 511

Between Groups 5 2.680 .021

Within Groups 506

Job-related

stressors

Total 511

Between Groups 5 4.539 .000

Within Groups 506

Powerlessness

Total 511

Between Groups 5 .570 .723

Within Groups 506

Under

participation

Total 511

Between Groups 5 .570 .723

Within Groups 506

Low status

Total 511

H0a: There is no significant difference in stress level of managers with

respect to their total working experience in the i nformation

technology sector due to role overload

H1a: There is significant difference in the stress level of managers with

respect to their total working experience in the in formation

technology sector due to role overload

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Sample says as f value is 3.644 is more than signif icant f value ie .003, we

reject the null hypothesis and accept the alternat ive hypothesis i.e there is

a significant difference in the stress level of man agers with respect to their

total working experience in information technology sector due to role

overload.

H0b: There is no significant difference in stress level of managers with

respect to their total working experience in the i nformation

technology sector due to role ambiguity

H1b: There is significant difference in the stress level of managers with

respect to their total working experience in the i nformation

technology sector due to role ambiguity

Sample says as f value is 1.499 more than signific ant f value ie .189, we

reject the null hypothesis and accept the alternat ive hypothesis i.e there is

a significant difference in the stress level of man agers with respect to their

total working experience in information technology sector due to role

ambiguity.

H0c: There is no significant difference in stress level of managers with

respect to their total working experience in the i nformation

technology sector due to role conflict

H1c: There is significant difference in the stress level of managers with

respect to their total working experience in the i nformation

technology sector due to role conflict

Sample says as f value is .561 less than significan t f value ie .730, we

accept the null hypothesis i.e there is a no sign ificant difference in the

stress level of managers with respect to their tota l working experience in

information technology sector due to role conflict.

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H0d: There is no significant difference in stress level of managers with

respect to their total working experience in the i nformation

technology sector due to inter personal stressors

H1d: There is significant difference in the stress level of managers with

respect to their total working experience in the i nformation

technology sector due to inter personal stressors.

Sample says as f value is 2.680 more than signific ant f value ie .021, we

reject the null hypothesis and accept alternative hypothesis i.e there is

significant difference in the stress level of manag ers with respect to their

total working experience in information technology sector due to inter

personal stressors.

H0e: There is no significant difference in stress level of managers with

respect to their total working experience in the i nformation

technology sector due to Job related stressors.

H1e: There is significant difference in the stress level of managers with

respect to their total working experience in the i nformation

technology sector due to Job related stressors.

Sample says as f value is 2.680 more than signific ant f value ie .021, we

reject the null hypothesis and accept alternative hypothesis i.e there is

significant difference in the stress level of manag ers with respect to their

total working experience in information technology sector due to Job

related stressors.

H0f: There is no significant difference in stress level of managers with

respect to their total working experience in the i nformation

technology sector due to Powerlessness

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H1f: There is significant difference in the stress level of managers with

respect to their total working experience in the i nformation

technology sector due to powerlessness

Sample says as f value is 4.539 more than signific ant f value ie .000, we

reject the null hypothesis and accept alternative hypothesis i.e there is

significant difference in the stress level of manag ers with respect to their

total working experience in information technology sector due to

powerlessness.

H0g: There is no significant difference in stress level of managers with

respect to their total working experience in the i nformation

technology sector due to under participation

H1g: There is significant difference in the stress level of managers with

respect to their total working experience in the i nformation

technology sector due to under participation.

Sample says as f value is .570 less than significan t f value ie .723, we

accept the null hypothesis a i.e there is no sign ificant difference in the

stress level of managers with respect to their tota l working experience in

information technology sector due to under particip ation

H0h: There is no significant difference in stress level of managers with

respect to their total working experience in the i nformation

technology sector due to low status

H1h: There is significant difference in the stress level of managers with

respect to their total working experience in the i nformation

technology sector due to low status.

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Sample says as f value is .570 less than significan t f value ie .723, we

accept the null hypothesis a i.e there is no sign ificant difference in the

stress level of managers with respect to their tota l working experience in

information technology sector due to low status

Over all analysis states that there is no significa nt difference in the stress

level of managers with respect to their total worki ng experience in

information technology due to under participation, low status and role

conflict where as there is a significant difference in the stress level of

managers with respect to their total working experi ence due to role

overload, role ambiguity, inter personal stressors, job stressors.

Hypothesis testing for Age and Stress level:

H0: There is no impact of age on stress level of m anagers.

H1: There is an impact of age on stress level of m anagers.

Table no 7.21: ANOVA for Age and Stress level

Df F Sig.

Between Groups 4 4.707 .001

Within Groups 507

Role over load

Total 511

Between Groups 4 .365 .834

Within Groups 507

Role Ambiguity

Total 511

Between Groups 4 .445 .776

Within Groups 507

Role Conflict

Total 511

Interpersonnel Between Groups 4 4.936 .001

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Within Groups 507 stressors

Total 511

Between Groups 4 4.936 .001

Within Groups 507

Job related stressors

Total 511

Between Groups 4 5.471 .000

Within Groups 507

Powerlessness

Total 511

Between Groups 4 .979 .419

Within Groups 507

Under participation

Total 511

Between Groups 4 .979 .419

Within Groups 507

Low status

Total 511

H0a: There is no impact of age on stress level o f managers due to role

overload

H1a: There is an impact of age on stress level o f managers due to role

overload

Sample says as f value is 4.707 more than signific ant f value ie .001, we

reject the null hypothesis and accept alternative hypothesis i.e there is an

impact of age on stress level of managers due to r ole overload.

H0b: There is no impact of age on stress level of managers due to role

ambiguity

H1b: There is an impact of age on stress level of managers due to role

ambiguity.

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Sample says as f value is .365 less than significa nt f value ie .834, we

accept the null hypothesis i.e there is no impac t of age on stress level of

managers due to role ambiguity.

H0c: There is no impact of age on stress level of managers due to role

conflict

H1c: There is an impact of age on stress level of managers due to role

conflict

Sample says as f value is .445 less than significan t f value ie .776, we

accept the null hypothesis i.e there is an no imp act of age on stress level

of managers due to role conflict.

H0d: There is no impact of age on stress level of managers due to inter

personal stressors

H1d: There is an impact of age on stress level of managers due to inter

personal stressors

Sample says as f value is 4.936 more than significa nt f value ie .001, we

reject the null hypothesis and accept alternative hypothesis i.e there is an

impact of age on stress level of managers due to i nter personal stressors

H0e: There is no impact of age on stress level of managers due to Job

related stressors.

H1e: There is an impact of age on stress level of managers due to Job

related stressors

Sample says as f value is 4.936 more than significa nt f value ie .001, we

reject the null hypothesis and accept alternative hypothesis i.e there is an

impact of age on stress level of managers due to J ob related stressors.

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H0f: There is no impact of age on stress level of managers. due to

Powerlessness

H1f: There is an impact of age on stress level of managers due to

Powerlessness

Sample says as f value is 5.471 more than significa nt f value ie .000, we

reject the null hypothesis and accept alternative hypothesis i.e there is an

impact of age on stress level of managers due to P owerlessness.

H0g: There is no impact of age on stress level of managers, due to Under

participation.

H1g: There is an impact of age on stress level of managers due to Under

participation.

Sample says as f value is .979 more than significan t f value ie .419, we

reject the null hypothesis and accept alternative hypothesis ie there is an

impact of age on stress level of managers due to U nder participation.

H0h: There is no impact of age on stress level of managers due to low

status

H1h: There is an impact of age on stress level of managers due to low

status.

Sample says as f value is .979 more than significan t f value ie .419, we

reject the null hypothesis and accept alternative hypothesis i.e there is an

impact of age on stress level of managers due to L ow status.

The data interprets that there is a no impact of ag e on stress level of

managers due to role ambiguity and role conflict wh ere as there is an

impact of age on stress level of managers due to ro le overload, inter

personal stressors, job stressors, powerlessness an d low status.

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Hypothesis testing for income and stress

H0: There is no impact of income on stress level o f managers .

H1: There is an impact of income on stress level of managers.

Table 7.22: ANOVA for income and stress

Df F Sig.

Role overload Between Groups 3 5.695 .001

Within Groups 508

Total 511

Role Ambiguity Between Groups 3 4.023 .008

Within Groups 508

Total 511

Role Conflict Between Groups 3 2.486 .060

Within Groups 508

Total 511

Interpersonnel

stressors

Between Groups 3 2.671 .047

Within Groups 508

Total 511

Job related

stressors

Between Groups 3 2.671 .047

Within Groups 508

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Total 511

Powerlessness Between Groups 3 4.175 .006

Within Groups 508

Total 511

Under

participation

Between Groups 3 .333 .801

Within Groups 508

Total 511

Lowstatus Between Groups 3 .333 .801

Within Groups 508

Total 511

H0a: There is no impact of income on stress level of managers due to

role overload.

H1a: There is an impact of income on stress level of managers due to role

overload.

Sample says as f value is 5.695 more than signific ant f value ie .001, we

reject the null hypothesis and accept alternative hypothesis i.e there is an

impact of income on stress level of managers due t o role overload.

H0b: There is no impact of income on stress level of managers due to

role ambiguity.

H1b: There is an impact of income on stress level of managers due to role

ambiguity.

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Sample says as f value4.023 is more than significa nt f value ie .008, we

reject the null hypothesis and accept alternative hypothesis i.e there is

an impact of income on stress level of managers du e to role ambiguity.

H0c: There is no impact of income on stress level of managers due to

role conflict.

H1c: There is an impact of income on stress level of managers due to role

conflict.

Sample says as f value 2.486 is more than signific ant f value ie .060, we

reject the null hypothesis and accept alternative hypothesis i.e there is

an impact of income on stress level of managers du e to role conflict.

H0d: There is no impact of income on stress level of managers due to

inter personal stressors .

H1d: There is an impact of income on stress level of managers due to

inter personal stressors .

Sample says as f value is 2.671 more than significa nt f value ie .047, we

reject the null hypothesis and accept alternative hypothesis i.e there is

an impact of income on stress level of managers du e to interpersonal

stressors.

H0e: There is no impact of income on stress level of managers due to job

stressors .

H1e: There is an impact of income on stress level of managers due to job

stressors.

Sample says as f value is 2.671 more than significa nt f value ie .047, we

reject the null hypothesis and accept alternative hypothesis i.e there is

an impact of income on stress level of managers du e to job stressors.

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H0f: There is no impact of income on stress level of managers due to

powerlessness.

H1f: There is an impact of income on stress level of managers due to

powerlessness.

Sample says as f value is 4.175 more than significa nt f value ie .006, we

reject the null hypothesis and accept alternative hypothesis i.e there is

an impact of income on stress level of managers du e to powerlessness.

H0g: There is no impact of income on stress level of managers due to

under participation.

H1g: There is an impact of income on stress level of managers due to

under participation.

Sample says as f value is .333 less than significan t f value ie .801, we

accept the null hypothesis i.e there is no impact of income on stress level

of managers due to underparticipation.

H0h: There is no impact of income on stress level of managers due to low

status.

H1h: There is an impact of income on stress level of managers due to low

status.

Sample says as f value is .333 less than significan t f value ie .801, we

accept the null hypothesis i.e there is no impac t of income on stress level

of managers due to low status.

In the given analysis there is no impact of income on stress level of

managers due to under participation and low status. For other variables like

role overload, role ambiguity, role conflict, job s tressors, inter personal

stressors and powerlessness there is an impact of i ncome on stress level

due to these variables.

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7.6 Descriptive Statistics of Consequences of Stress

(Table7.23) Descriptive st atistics for Gender

Consequences Male Female

Mean S.D Mean S.D

Physiological 3.1947 .56662 3.2788 .58720

Behavioural 3.2405 .57004 3.3262 .56818

Psychological 3.2277 .55660 3.3048 .60624

After comparing means of male and female we conclud ed that physical

consequences, behavioural problems and psychologica l problems caused

due to stress is found more in female than male.

Location:

(Table7.24) Descriptive statistics of Location

Consequences Mumbai Bangalore

Mean S.D Mean S.D

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Physiological 3.1944 .50570 3.2560 .63736

Behavioural 3.2621 .49873 3.2850 .63530

Psychological 3.2527 .52538 3.2644 .62117

From the given facts we can conclude that physical consequences are

more in Bangalore than in Mumbai. After compare me ans managers facing

behavioural and psychological problems in nearly sa me in both the cities.

(Table 7.25) Descriptive statistics for Level:

Consequences Sr.Level Jr.Level

Mean S.D Mean S.D

Physiological 3.2332 .61547 3.2215 .55635

Behavioural 3.2430 .64683 3.2870 .53035

Psychological 3.2117 .64268 3.2778 .54114

From the mean values we can conclude that behaviour al consequences

and psychological problems are found in Junior Mana gers than in Senior

managers. Where in physical consequences are found somewhat similar in

Senior as well as Junior Managers.

(Table 7.26)Descriptive of Age

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Consequences >25 25-30 25-30

Mean S.D Mean S.D Mean S.D

Physiological 3.293

0

.59924 3.1435 .55701 3.2190 .54964

Behavioural 3.322

2

.57228 3.1937 .54707 3.2751 .59841

Psychological 3.322

2

.57228 3.1937 .54707 3.2751 .59841

After comparing means we can conclude that mean is higher in the age

group of 35-40 i.e physical consequences are found more in this age group

of managers followed by Junior level managers in th e age group of less

than 25 yrs. They are comparatively least in the ag e group of 25-30.

When we look at the behavioural problems like, conf lict, jealousy problem,

quickly losing tempe problem it is found more in th e age group of less

than 25 years of age and least in 25-30. Behavioura l problem in the age

group of 30 to 40 is same.

Psychological problem like feeling lonely, alcoholi sm, smoking, depression

is found in the age group of less than 25 years of age and similar in the age

group of 30-40 yrs and found least in the age group of 25-30.

(Table 7.27) Descriptive of Years of experience in the same company

Consequences >5yrs 5-10yrs 10-15yrs

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Mean S.D Mean S.D Mean S.D

Physiological 3.2327 .58360 3.2120 .57487 3.2124 .49444

Behavioural 3.3065 .56003 3.2328 .59379 3.1776 .42245

Psychologica 3.3065 .56003 3.2328 .59379 3.1776 .42245

If we compare the means of years of experience we c an see that

physical consequences like headache, backaches, hyp ertension

etc. it is found amongst junior level managers i.e 0-3 yrs who are

just the beginners, also behavioural and psychologi cal problem is

found maximum in these category. Where as physical problem

behavioural problem and psychological problem found in years of

3-6 yrs and 6-9 yrs of experience in the same compa ny is very

close

(Table 7.28)Descriptive of Total years of experienc e in IT sector

Consequences >5yrs 5-10yrs 10-15yrs

Mean S.D Mean S.D Mean S.D

Physiological 3.2421 .55698 3.2280 .59370 3.1042 .48592

Behavioural 3.2996 .50701 3.2498 .58317 3.2471 .54195

Psychological 3.2996 .50701 3.2498 .58317 3.2471 .54195

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Higher consequences physical, behavioural and psych ological problems

are found in the age group of Junior level managers in the age group of

>25 years of age. Whereas behavioural problem and p sychological

problem is all the age group are closer to each oth er. There is less

variation in these problem in the following age gro up.

7.7 Inferential Statistics for Consequences

Hypothesis testing for Consequences of stress

Ho: There is no significant difference in the cons equences of stress by

male and female managers.

H1: There is a significant difference in the conse quences of stress by

male and female managers.

Table 7.29: Independent Samples Test for Gender and Consequences of stress

t-test for Equality of Means

Hypoth

esis

0 Df Sig. (2-

tailed)

Equal variances

assumed

-1.596 510 .111 Rejecte

d

Physical

Consequences

Equal variances

not assumed

-1.581 376.630 .115

Equal variances

assumed

-1.640 510 .102 Rejecte

d

Behavioural

Equal variances -1.641 388.943 .102

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A

t

9

5

% confidence level if the value is > .05 we accept the null hypothesis and

we reject the alternative hypothesis.

As the t value is more than 0.05 we reject the null hypothesis and accept

the alternative hypothesis. The finding says that there is significant

difference between consequences in male and female managers.

Hoa: There is no significant difference in the phy sical consequences of

stress by male and female managers.

H1a: There is a significant difference in the phys ical consequences of

stress by male and female managers.

In the given data the t value is more than 0.05 . So we reject the null

hypothesis and accept the alternative hypothesis th at there is significant

difference in physical consequence of stress level in male and female

managers

Hob: There is no significant difference in the beha vioural consequences of

stress by male and female managers.

H1b: There is a significant difference in the beha viour consequences of

stress by male and female managers

not assumed

Equal variances

assumed

-1.461 510 .145 Rejecte

d

Psychological

Equal variances

not assumed

-1.428 361.376 .154

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Hoc: There is no significant difference in the psy chological consequences

of stress by male and female managers.

H1c: There is a significant difference in the psych ological consequences of

stress by male and female managers

Similarly for the value of t is more than 0.05 so w e reject the null

hypothesis and accept the alternative hypothesis wh ich interprets that

there is significant difference in the behavioural and psychological

consequences of stress in male and female managers.

Hypothesis for Location:

H0: There is no significant difference in the cons equences of stress in

Mumbai and Bangalore.

H1: There is significant difference in the consequ ence of stress in

Mumbai and Bangalore.

(Table-7.30): Independent Samples Test for Locatio n

T-test for Equality of

Mean

T df

Sig.

valu

Hypothesis

Equal variances

assumed

-

1.210

508 .227 Physical

Consequence

s Equal variances

not assumed

-

1.210

483.031 .227

Rejected

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Equal variances

assumed

-.452 508 .651 Behavioural

Equal variances

not assumed

-.452 480.896 .651

Accepted

Equal variances

assumed

-.231 508 .817 Psychologica

l

Equal variances

not assumed

-.231 494.386 .817

Accepted

The Null hypothesis is accepted for behavioural and psychological so we

can interpret that there is no significant differen ce in the consequences of

stress in Mumbai and Bangalore.

Hoa: There is no significant difference in the phy sical consequences of

stress in Mumbai and Bangalore.

H1a: There is significant difference in the physic al consequences of

stress in Mumbai and Bangalore.

The value if t -1.210 and sig t value is .227 as th e sig t value is more than

0.05 we reject the null hypothesis and accept the a lternative hypothesis

that there is a significant difference in the physi cal consequences of stress

in Mumbai and Bangalore.

Hob: There is no significant difference in the beha vioural consequences of

stress in Mumbai and Bangalore.

H1b: There is significant difference in the behavi oural consequences of

stress in Mumbai and Bangalore.

The value of t is -.452 and sig t value is .651 as the t value is less so we

accept the null hypothesis and interpret that ther e is a no significant

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difference in the physical consequences of stress i n Mumbai and

Bangalore

Hoc: There is no significant difference in the psyc hological consequences

of stress in Mumbai and Bangalore.

H1c: There is significant difference in the psycho logical consequences of

stress in Mumbai and Bangalore.

The value of t is -.231and sig t value is .871 as t he t value is less so we

accept the null hypothesis and interpret that ther e is a no significant

difference in the psychological consequences of str ess in Mumbai and

Bangalore

Hypothesis for Consequences on Junior Manager and S enior Manager:

H0: There is no significant difference in the cons equences of stress in

Junior Managers and Senior Managers.

H1: There is significant difference in the consequ ence of stress in Junior

Managers and Senior Managers.

As the sig t value is more than .05 we reject the n ull hypothesis and accept

the alternative hypothesis i.e there is a significa nt difference in the

consequences of stress in Junior managers and senio r managers

(Table-7.31): Independent Samples Test for Level o f managers

t-test for Equality of Means

t df

Sig.

(2-tailed)

Physical

Consequences

Equal variances

assumed

.215 509 .830

Equal variances

not assumed

.207 298.145 .836

Equal variances

assumed

-.816 509 .415 Behavioural

Equal variances

not assumed

-.762 275.200 .447

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Hoa: There is no significant difference in the phy sical consequences of

stress in Junior Level Managers and Senior Level Ma nagers

H1a: There is significant difference in the physic al consequences of

stress in Junior Level Managers and Senior Level Ma nagers.

The value if t is .215 and sig t value is .830 as t he sig t value is less than sig

value we accept the null hypothesis there is a no significant difference in

the physical consequences of stress Junior Managers and Senior

Managers.

Hob: There is no significant difference in the beha vioural consequences of

stress in Junior Level Managers and Senior Level Ma nagers

H1b: There is significant difference in the behavi oural consequences of

stress in Junior Level Managers and Senior Level Ma nagers

Equal variances

assumed

-1.216 509 .225 Psychological

Equal variances

not assumed

-1.145 281.082 .253

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The value of t is-.816 and sig t value is .415 as the t value is more so we

reject the null hypothesis and accept the alternat ive hypothesis and

interpret that there is a significant difference in the physical consequences

of stress in Junior Level Managers and Senior Leve l Managers

Hoc: There is no significant difference in the psyc hological consequences

of stress in Junior Level Managers and Senior Leve l Managers

H1c: There is significant difference in the psycho logical consequences of

stress in Junior Level Managers and Senior Level M anagers

The value of t is -1.216and sig t value is .225 as the t value is more than 0.05

so we reject the null hypothesis and accept the al ternative hypothesis and

interpret that there is a significant difference in the psychological

consequences of stress in Junior Managers and Seni or Managers.

HYPOTHESIS TESTING FOR CONSEQUENCES AND AGE:

H0: There is no significant difference in the cons equences of stress in

different age groups

H1: There is a significant difference in the conse quences of stress in

different age groups.

The significant of f value is more than 0.05 so ha ve rejected the null

hypothesis and accepted alternative value. Which me ans that there is

significant difference in the consequences of stres s in different age groups.

(Table 7.32) ANOVA test for consequences of stress and

age

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Df F Sig.

Between Groups 4 3.012 .018 Reject

Within Groups 507

Physical

Total 511

Between Groups 4 2.233 .064 Reject

Within Groups 507

Behavioural

Total 511

Between Groups 4 2.233 .064 Reject

Within Groups 507

Psychological

Total 511

H0a: There is no significant difference in physica l consequences of stress

in different age groups.

H1a: There is a significant difference in physical consequences of stress

in different age groups.

Sample says as f value is 3.012 is more than signi ficant f value i.e .018, we

reject the null hypothesis and accept the alternat ive hypothesis i.e there is

a significant difference in the physical consequen ces of stress in different

age groups.

H0b: There is no significant difference in behavio ural consequences of

stress in different age groups

H1b: There is a significant difference in behaviou ral consequences of

stress in different age groups

Sample says as f value is 2.233 is more than signi ficant f value i.e .064, we

reject the null hypothesis and accept the alternat ive hypothesis i.e there is

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a significant difference in the behavioural conseq uences of stress in

different age groups

H0c: There is no significant difference in psychol ogical consequences of

stress in different age groups

H1c: There is a significant difference in psycholo gical consequences of

stress in different age groups

Sample says as f value is more than significant f value i.e .018, we reject

the null hypothesis and accept the alternative hypo thesis i.e there is a

significant difference in the l psychological cons equences of stress in

different age groups

Hypothesis testing for Years of experience:

H0: There is no significant difference in conseque nces of stress faced

by managers with reference to years of experience i n the same

company.

H1: There is significant difference in consequence s of stress faced by

managers with reference to years of experience in t he same

company.

(Table 7.33) ANOVA TEST for years of experi ence and Consequences

of stress

F Df Sig Hypothesis

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Between

Groups

1.136 3 .334 Rejected

Within Groups 508

Physical

Total 511

Between

Groups

.856 3 .464 Rejected

Within Groups 508

Behavioural

Total 511

Between

Groups

.856 3 .464 Rejected

Within Groups 508

Psychological

Total 511

The Sign value is more than 0.05 so we reject null hypothesis and accept

alternative hypothesis that means there significant difference in the

consequences of stress faced by manages with refere nce to years of

experience in the same company.

H0a: There is no significant difference in physica l consequences of stress

faced by managers with reference to years of experi ence in the same

company.

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H1a: There is significant difference in physical co nsequences of stress

faced by managers with reference to years of experi ence in the same

company

Sample says as f value is 1.136 is more than signi ficant f value i.e .334, we

reject the null hypothesis and accept the alternat ive hypothesis i.e there is

a significant difference in the physical consequenc es of stress in different

age groups

H0b: There is no significant difference in behavio ural consequences of

stress faced by managers with reference to years of experience in

the same company.

H1b: There is no significant difference in behavio ural consequences of

stress faced by managers with reference to years of experience in

the same company

H0c: There is no significant difference in psychol ogical consequences of

stress faced by managers with reference to years of experience in

the same company.

H1c: There is no significant difference in psychol ogical consequences of

stress faced by managers with reference to years of experience in

the same company

Sample says as f value is .856 is more than signif icant f value i.e .464, we

reject the null hypothesis and accept the alternat ive hypothesis i.e there is

a significant difference in the physical consequenc es of stress in different

age groups

Hypothesis Testing for Total years of experience:

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H0: There is no significant difference in conseque nces of stress faced

by managers with reference to total number of years experience in

IT sector.

H1: There is significant difference in consequence s of stress faced by

managers with reference to number of years experien ce in IT sector

(Table 7.34) ANOVA TEST for Income and Consequences of stress

F df Sig Hypothesis

Between

Groups

1.745 5 .123 Rejected

Within Groups 506

Physical

Total 511

Between

Groups

.841 5 .521 Rejected

Within Groups 506

Behavioural

Total 511

Between

Groups

.841 5 .521 Rejected

Within Groups 506

Psychological

Total 511

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H0a: There is no significant difference in physica l consequences of stress

faced by managers with reference to total number of years

experience in IT sector.

H1a: There is significant difference in physical c onsequences of stress

faced by managers with reference to number of years experience in

IT sector

The f value is 1.745 is more than significant f val ue .123 so we reject the

null hypothesis and accept the alternative hypothes is which interprets that,

there is significant difference in physical consequ ences of stress faced by

managers with reference to number of years experien ce in IT sector

H0b: There is no significant difference in behavio ural consequences of

stress faced by managers with reference to total nu mber of years

experience in IT sector.

H1b: There is significant difference in behavioura l consequences of

stress faced by managers with reference to number o f years

experience in IT sector

The f value is .841 is more than significant f val ue .521 so we reject the null

hypothesis and accept the alternative hypothesis wh ich interprets that,

there is significant difference in behavioural cons equences of stress faced

by managers with reference to number of years exper ience in IT sector

H0c: There is no significant difference in psychol ogical consequences of

stress faced by managers with reference to total nu mber of years

experience in IT sector.

H1c: There is significant difference in psychologi cal consequences of

stress faced by managers with reference to number o f years

experience in IT sector

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The f value is .841 is more than significant f val ue .521 so we reject the null

hypothesis and accept the alternative hypothesis wh ich interprets that,

there is significant difference in psychological co nsequences of stress

faced by managers with reference to number of years experience in IT

sector

Hypothesis testing for Income of managers and cons equences.:

Ho: There is no significant difference in the cons equences faced by

managers with reference to their income.

H1: There is a significant difference in the conse quences faced by

managers with reference to their income.

(Table 7.35) ANOVA TEST for Income and Consequences of stress

The F Df Sig Hypothesis

Between

Groups

.980 3 .402 Rejected

Within Groups 508

Physical

Total 511

Between

Groups

.279 3 .841 Accepted

Within Groups 508

Behavioural

Total 511

Between

Groups

.279 3 .841 Accepted

Within Groups 508

Psychological

Total 511

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significant value f is less than f value so we reje ct the null hypothesis and

accept the for physical consequences where as for b ehavioural and

psychological there is no significant difference in the consequences with

reference to their income

Hoa: There is no significant difference in the phy sical consequences

faced by managers with reference to their income.

Hoa: There is a significant difference in the phys ical consequences faced

by managers with reference to their income.

The sample value of f is .980and sig f value is .40 2 which is less than the

value so we reject the null hypothesis and accept t he alternative

hypothesis. Which explains there is significant di fference in the physical

consequences faced by managers with reference to th eir income.

Hob: There is no significant difference in the beh avioural consequences

faced by managers with reference to their income.

Hob: There is significant difference in the behavi oural consequences

faced by managers with reference to their income

Hob: There is no significant difference in the psy chological consequences

faced by managers with reference to their income.

Hob: There is significant difference in the psychol ogical consequences

faced by managers with reference to their income

In the given sample the f value is .279 and sign f value is .841 which is more

than the f value so we accept the null hypothesis i .e there is no significant

difference in the behavioural and psychological con sequences faced by

managers with reference to their income.

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CHAPTER VIII

SUMMARY AND FINDINGS

The basic purpose of this research was first to ide ntify the sources

of managerial stress in IT sector. To find out cons equences of these

stress on the managers i.e Physiological, Behaviour al and

Psychological impact. For This two main IT hubs Ban galore and

Mumbai were selected for the sample population. A s ample of 500

was collected from IT companies from different desi gnations. A

validated instrument of causes of occupational stre ss was used to

collect data. Also for consequences, an instrument used by

International stress Organization was used. The wor k was carried out

on a conceptual model of stress.

In the demographic profiling of the managers from I T sector, it was

found that 52% of the managers were from Mumbai and 47.7% were

from Bangalore amongst the managers the female man agers is

46.6% were females and 53.5% were males managers Ba naglore.

Amongst males 31.2% where in the Senior Level and 68.8% were in

the Junior level, where as in females, the percenta ge was 34% for

senior managers and 65.5% for junior managers. From theis we can

conclude that there is less glass ceiling effect f ound in IT sector.

They believe in equal rights. From the demographic profiling we can

interpret that male managers and female managers ar e more in the

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group of 5-10 years of experience. There is no sign ificant

relationship between years of experience and gender . The data

indicated that there is a significant relationship between the age and

the income. Less than 25% of managers earn income o f 26.5 of

income. Also in the similar age group around 54% of managers earn

the same money at the age of 35 and above.

Also a descriptive statistics and Infere ntial stastics was carried out

for the further analysis.

The findings showed that stress is more in the age group of under 25

due to under participation and low status. In age g roup of 25-30

stress is more due to role overload, inter personal and job related

stressors and powerlessness. Also in age group of 3 5-40 stress is

more due to role overload.

If we compare means for male and female, then in m ales stress is

more due to inter personal stressors whereas in fem ales stress is

due to under participation. In all other variables like powerlessness,

low status, role ambiguity we found stress is nearl y same in male

and female

When we compare levels of managers, more stress is found in junior

level due to under participation, powerlessness, Jo b related etc. For

the senior managers it due to role overload, inter personal stressors.

When we compare the consequences found in male or female we

found that all three physical, behavioral and psych ological problems

caused due to stress is more in female than in male .

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If we compare the locations, then physical problem s are more in

Bangalore than in Mumbai. Where as both behavioral and

psychological problem is more or less same in both cities. Physical

are fund more in Senior managers where as behaviora l and

psychological problems are found more in Junior man agers.

When we look at the behavioural problem like confl ict, jealously it is

found more in the age group of under 25 and less i n 25-30 years of

age. Behavioural problem in the age group of 30 to 40 is same.

If we compare the means of years of experience we can see that

physical consequences like headache, backaches, hyp ertension etc

is found amongst junior level managers i.e 0-3 who are just the

beginners, also behavioural and psychological probl em is found

maximum in these category. Where as physical proble m, behavioral

problem and psychological problem found in years of 3-6 yrs and 6-9

yrs of experience in the same company is very close .

In the hypothesis, it was found that there is a si gnificant relation

between stress and gender, stress and level of mana gers, stress and

age, stress and years of experience etc.

Over all stress does play a very important role? Every manager is

under stress for one or the other occupational. It varies with age,

level, seniority and the individual capacity of per son to over come

stress.

Further Research

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A number of further studies could be based upon the initial

project. These studies could either continue the an alysis of the

original data or extend the work into new areas as described

below. Further intervening variables like personali ty, leadership

can be added.

� This result of this study could be compared to the results of

previous studied of other groups of managers in dif ferent

sectors.

� Also can conduct similar studies for different samp le like

Doctors, Nurses, Teachers, and Policemen etc. Compa rative

studies can further be conducted.

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CHAPTER IX

Conclusion and Recommendations

CONCLUSION:

Stress is an adaptive response to a situation that is perceived as

challenging or threatening to the person’s well bei ng . Distress

represents high stress levels that have negative co nsequences,

whereas eustress represents the moderately low str ess levels needed

to activate people. Most of the stressors found in organizations is task

related, role related, inter personal, physical dem and at work, job

related stressors etc. To overcome stress efforts h as to be taken from

both the sides individual as well as organizational . Individual can help

himself with strategies like perception, doing regu lar exercise, taking

regular breaks while working, taking leaves when he is feels he is

stressed out. Trying to inculcate regular habit of exercising, meditating

or doing regular yoga when require take help of Emp loyee Assistant

Programme or take social support. At the same time organizations

should make these issues compulsory in organization . Think of the

human behavior aspect along with target oriented b usiness. If there is

efforts taken from both the sides the percentage of managers suffering

from physiological problem, psychological problem a nd behavioural

problem will surely reduce.

Recommendations

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Some degree of stress is good (eustress), but for t he most part

employees and employer need to figure out how to mi nimize distress.

Stress management strategies can be organized into five categories:

1. Remove the stressors

2. Withdraw the stressor

3. Change stress perception,

4. Control Stress Consequences

5. Receive social support.

1. Remove the stressors : Only way companies can effectively manage

stress is by removing the stressors that causes un necessary tension

and job burnout. To minimize the stress level one of the strategy can

be job-person fit . This would include assigning em ployees to jobs

based on his skills and competencies. One way for organizations to

manage stress is to investigate the main causes of stress in the

workplace. Volvo conducted a stress audit in its 50 0 employees

research and development department in which indivi duals rated their

jobs as high, medium and low stress. Another recomm endations is to

empower people so that they have more control over their work and

work environment . Role stressors can be minimized by selecting and

assigning employees to position that matches their competencies.

Clear Job design and job role will minimize the pro blem of role

ambiguity . Clear cut communication system can also help to remove

the problem of role ambiguity. Some firms are flexi ble on their hours ,

days and amount of time employees work. Work life balance initiatives

also fall into this category , such as offering fle xible work schedules.

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Job sharing : Job sharing splits a career position between two people

so they experience less time based stress between w ork and family.

They typically work different parts of the week wit h some overlapping

work time in the weekly schedule to coordinate acti vities.

Telecommunicating,

Personal Leave Programs and child care support to certain extent can

help to resolve stress.

2.Withdraw from the Stressors : Removing the stressors may be the

ideal solution, but it is often not feasible. An al ternative strategies is to

permanently or temporarily remove employees from st ressor.

Permanent withdrawal occurs when employees are tran sferred to jobs

that better fit their competencies and values.

Temporary Withdrawal strategies: Temporarily withdr awing from

stressors is the most frequent way that employees m anage stress. Days

off , to take work breaks, vacations and sabbatical s.

Permanent withdrawal strategies: The employee based on his skills and

competencies can be transferred to next job( job tr ansfer).

3.Change Stress Perception : Managers often experience different level

of stress in the same situation because they percei ve it differently.

Consequently stress can be minimized by changing pe rception of the

situation. This does not involve ignoring risks or other stressors.

Rather they can strength their self efficacy and se lf esteem so that job

challenges are not perceived as threatening. Positi ve self talk can

potentially change stress perception by increasing our self efficacy and

developing more optimistic outlook.

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Control the consequences of stress: Coping with wor kplace stress also

involves controlling its consequences. For this rea son many companies

have fitness centers where employees can keep in sh ape. Research

indicate that physical exercise reduced the physiol ogical consequences

of stress by helping employees lower their respirat ion, muscle tension,

heart rate and stomach acidity. Along with fitness and relaxation /

meditation many firms have shifted to the broader a pproach of wellness

program. These program educate and support employee s in better

nutrition and fitness, regular sleep and other good health habits. Many

companies like Wipro, Infosys offer employee assist ance

programs(EAP). Counseling services that help employ ees overcome

personal and organizational stressors and adopt mor e effective coping

mechanisms. Most EAP’s are “broad bush” programs th at counsel

employees on any work or personal problems. Family problems often

represent that largest percentage of EAP referrals, although this varies

with industry and location. EAP’s can be one of the most effective

stress management interventions where the counselin g helps

employees to understand the stressors, acquire stre ss management

skills and practice those stress management skills.

4. Receive Social support : Social support from co-workers, supervisors,

family friend and others is one of the most effecti ve stress management

practices. Social support referes to the person’s i nter personal

transactions with others and involves providing eit her emotional or

informational support to buffer the stress experien ce. Social support

basically help to reduce stress in two ways, firstl y employees improve

their perception this in turn increases their self esteem and perceived

ability to cope with stressors. Secondly it provide s information to help

employees interpret, comprehend, and possibly remov e the stressors.

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In Indian context this strategy is most effective a s we are habituated to

let out our feeling to our friends or family member s.

5. Goal Setting : Organization preventive stress management can als o

be achieved through goal setting activities. These activities are

designed to increase task motivation while reducing the degree of role

conflict and role ambiguity to which people at work are subjects. Goal

setting focuses a person’s attention while directin g energy in a

productive channel.

6. Role Negotiations: The organization development technique of role

negotiations has value as a stress management metho d, because it

allow people to modify their work roles. The actual negotiations follows

from the comparison of the role incumbent’s expecta tion and key

member expectations. The point of confusion and con flict are

opportunities for clarification and resolution. The final result of the role

negotiation process should be a clear, well defined focal role with which

the incumbent and organization member are both comf ortable.

7.Learned Optimism : Optimism and pessimism are two different

thinking styles people use to explain the good and bad events in their

lives to themselves. These explanatory styles are h abits of thinking

learned overtime, not inborn attributes. Pessimism is an explanatory

style leading to depression, physical health proble ms, and low level of

achievement. Optimism is an alternative style that enhances physical

health and achievement and averts susceptibility to depression

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8. Time Management: Work overload, the major job stressor, can lead to

time pressure and overtime work. Time management sk ills can be help

employees make the most effective, efficient use of the time they spend

at work. Time management enables a person to minimi ze the stress of

work overload and to prioritize work and leisure ti me activities.

Organizing and prioritizing may be the two most imp ortant time

management skills for successful people managing v ery busy activity

schedules.

9.Physical exercise : Two different types of physical exercises are

important secondary stress prevention activities fo r individual. Firs

aerobic exercises improves person’s responsiveness to stressful

activities. Kenneth Cooper (1997) has long advocate d aerobic exercises.

Research at the Aerobics Center in Dallas has found that aerobically fit

person have lower level of adrenaline in their bloo d at rest, have a

slower, stronger heart functioning and recover from stressful events

more quickly.

Secondly flexible training is important because of the muscular

contractions associated with the stress response. O ne component of

the stress response is the contraction of the flexo r muscles, which

prepares a person to fight or flee. Flexibility tra ining a person to stretch

and relax the muscles to prevent the accumulation o f unnecessary

muscular tension. Flexibility exercises help mainta in joint mobility,

increase strength and play a important role in prev ention of injury.

10. Yoga and Meditation: This has become one of the most important

factor in day to day life Yoga and mediation as a l ife style management

module is very popular in organization. Herbert Ben son was one of the

first people to identify the relaxation response as the natural counter

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response to the stress response. He said regular pr ayers will help you

to overcome stress. A study was conducted to asses the scope and

acupuncture as a relaxation response in coping with stress and also to

establish its therapeutic efficacy in the managemen t of functional

disease It was found that it help in psychic elatio n and allows one to

relax , its clinical success has demonstrated that it has a definite role to

play in coping with stress.

Few authors have stated few strategies they are as follows:

J.D. Quick, R.S Horn(1986) gave a frame work for un derstanding

preventive stress management where in he talks abou t three stages of

prevention in a preventive medicine context, along with these stages in

a organizational context.

Primary prevention is intended to reduce, modify or eliminate the

demand or stressors causing stress. The idea behind primary

prevention is to eliminate the source of a problem. True organizational

stress prevention is largely primary in nature, bec ause it changes and

shapes the demands the organization places at work.

Secondary prevention is intended to alter or modify the individual’s or

the organization’s response to a demand or stressor . People must learn

to manage the inevitable, in alterable work stresso rs and demands so

as to avert distress and strain while promoting hea lth and well being.

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Tertiary prevention is intended to heal individual or organizational

symptoms of distress and strain. The symptoms may r ange from early

warnng signs ( such as headaches and absenteeism) t o more severe

form of distress( such as hyper tension, work stopp age and strikes).

Tertiary prevention is therapeutic, aimed at arrest ing distress and

healing the individual, the organization or both

Priyadarshini, Kalanithi Maran(2009) suggest stress can be addressed

by having reasonable breaks between the working hou rs, recreation

activities, energizing though team parties/outings, enhancing positive

work culture, motivation etc. Inter personal relati onship need to be

energized by organizing team meetings, and family g et together,

providing week end breaks from work.

B Gardell(1987) in his job strain model suggest few more strategies can

be a proper Job design it is basically to have a wo rker control.

Increasing worker control reduces distress and stra in without

necessarily reducing productivity in many cases. Th e research

described in the accompanying Scientific Foundation found that these

effects are moderated by self efficacy. Specially e mployees with high

job self efficacy benefits from high job control, w here as employees

with low job self efficacy appears to find high job control distressing.

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Books:

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• DM Pestonjee, 'Stress and Coping ' The Indian Exper ience Sage

Publications

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,’Organization Behaviour’ ,Cengage Publication

• Rajendra Nargudkar, ”Marketing Research” Text and C ases, Tata Mc

Hill Companies.

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• Stephen P Robbins , Timothy A Judge and Seema Sangh i ,’

Organization Behaviour’, Pearson Education

• Sheridan J Coakes, Lyndall Steed, Peta Dzidic, SPSS 13 Version for

Windows Analysis without Anguish, Wiley India Editi on.

• William G Zikmund, ‘ Business Research Methods’. Ce ngage

Publication

• Walt Schafer 'Stress Management' Cengage Publicatio n

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Workplace Stress QuestionnaireWorkplace Stress QuestionnaireWorkplace Stress QuestionnaireWorkplace Stress Questionnaire

This questionnaire is meant for psychological investigation. The

questionnaire consists of some statements that employees say or feel

about various components and conditions of their job. You are

required to select any one of the following 'five' responses to indicate

the extent to which you agree or disagree with each statement.

Give your responses frankly. Your responses will be kept strictly

confidential

Questionnaire

Note 1: Column 1)is for Strongly disagree, 2) is for Disagree, 3) is for Undecided, 4) is

for Agree, 5) is for Strongly agree.

Note 2: Statement marked a as * should be reversely graded-1) Strongly agree 2)

Agree 3) Undecided 4) Disagree 5) Strongly disagree

Section One: Demographic Information

Name of the employee (Optional) :

Name of the organization :

Department :

Age

a) Less than 25 b) 25-30 c)30-35 d)35-40 e) 40 & above

Gender

aa)) MM aallee bb))FFeemmaallee

Length of service in ITsector

a) 0-5 b) 5-10 c)10-15 d) 15-20 e) above 20

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Work Experience in particular

a) 0-3yrs b) 3-6yrs c) 6-9yrs d) 9-12 yrs e) above 12 yrs

Annual Income

a) 1-5 lakh b) 5-10 lakh c) 10-15 lakh d) 15-20 lakh e) 20 and above

Designation:

Sr.No

Statement 1 2 3 4 5

Intra Personal stressors Role Overload

1) I have to do a lot of work in this job 2) Owing to excessive work load I have to manage

with insufficient number of employees and resources

3) I have to dispose off my work hurriedly

owing to excessive work load.

4) Being too busy with official work I am not

able to devote sufficient time to my

domestic and personal problems

5) I have to do such work as ought to be done

by others

6) I am unable to carry out my assignment to

my satisfaction on account of excessive

load of work and lack of time.

Role Ambiguity 1) The available information relating to my job-

role and its out comes are vague and

insufficient

2)* The objectives of my work–role are quite

clear and adequately planned

3) I am unable to perform my duties smoothly

owing to uncertainty and ambiguity of the

scope of my jurisdictions and authorities

4) It is not clear that what type of work and

behavior my higher authorities and

colleagues expect from me

Role Conflict 1) My different Officers often give

contradictory instructions regarding my

works

2)* Officials do not interfere with my jurisdictions

and working methods

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3) I am not provided with clear instruction and

sufficient facilities regarding the new

assessments trusted to me.

4)* Employees attach due importance to the

official instructions and formal working

procedures.

5) It becomes difficult to implement all of a

sudden the new dealing procedures and

policies in place of those already in practice

Interpersonnel stressor 1) Sometimes it becomes complied problem

for me to make a adjustment between

political/group pressures and formal rules

and instructions.

2) I have to do some work unwillingly owning

to certain group/political pressures.

3) In order to maintain group-conformity

sometimes I have to do/produce more than

the usual.

4)

I am compiled to violate the formal and

administrative procedures and policies

owing to group/political pressures.

5) The responsibility for the efficiency and

productivity of many employees is thrust

upon me.

6) I am responsible for the future of a number

of employees.

7) I bear the great responsibility for the

progress and prosperity of this organisation.

8)* I have to work with persons whom I like.

9)* Some of my colleagues and subordinates try

to defame and malign me as unsuccessful

10)*

My colleagues do co-operate with me

voluntarily in solving administrative and

industrial problems

11)*

There exists sufficient mutual co-operation

and team-spirit among the employees of

the Organization/Department.

Job Related Stressors 1) I do my work under tense circumstances 2) Some of my assignments are quite risky and

complicated

3) I often feel that this job has made my life

cumbersome.

4)* Working conditions are satisfactory here

from the point of view of our welfare and

convenience

5) My assignments are of monotonous nature 6)* I get ample opportunity to utilize my abilities

and experience independently.

7)* I get ample opportunity to develop my

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Consequences of stress

Sr No

Statement Strongly

agree Agree Uncerta

in Disagree Str

ong

ly

Dis

agr

ee

1. I let others know my feeling?

aptitude and proficiency properly.

8) My suggestions and co-operation are not

sought in solving even there problems for

which I am quite competent

9) I get less salary in comparison to the

quantum of my labour/work.

10) I am seldom rewarded for my hard labour

and efficient performance

Powerlessness *1) My decisions and instruction concerning

distribution of assignments among

employees are properly followed.

*2) My suggestions regarding the training

programmes of the employees are given

due significance.

*3) Our interests and opinions are duly

considered in making appointments for

important posts.

Underparticipation *1) Most of my suggestions are heeded and

implemented here

*2) My co-operation is frequently sought in

solving the administrative or industrial

problems at higher level

*3) My options are sought in framing important

policies of the Organisation/Department.

*4) My opinion is sought in changing or

modifying the working system, instrument

and conditions.

Low Status *1) Higher authorities do care for my self

respect

*2) This job has enhanced my social statues 3) My higher authorities do not give due

significance to my post and work

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Sr No

Statement Strongly

agree Agree Uncerta

in Disagree Str

ong

ly

Dis

agr

ee

2 At times suffer from constipation or

diarrhoea

3 I feel jealous if I my colleagues get

recognition

4 I often suffer with headaches

5 When I am ill it does take a long time to

get over it.

6 I am very quick to anger.

7 I feel that I am under too much pressure.

8 I don't feel refreshed at the beginning of

the day.

9 I drink alcohol when I am overworked.

10 I suffer from difficulty in sleeping.

11 When conflict arises I overreact.

12 I find an inability to concentrate.

13 I sweat excessively.

14 I have chest related problems.

15 I suffer from backaches

16 I often feel lonely.

17 I have allergy flare ups.

18 To distress myself I smoke.

19 I feel emotionally drained from my work

20 I feel I treat some people in an impersonal manner.

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FREQUENCY TABLES

1) LOCATION location

Frequency Percent Valid Percent

Cumulative

Percent

MUMBAI 255 42.9 49.8 49.8

BANAG

LORE 257 43.2 50.2 100.0

Valid

Total 512 86.1 100.0

Missing System 83 13.9

Total 595 100.0

2. LEVEL OF MANAGER

Level

Frequency Percent Valid Percent

Cumulative

Percent

Valid SENIOR 166 27.9 32.5 32.5

1 2

location

0

10

20

30

40

50

60

Per cent

location

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JUNIOR 345 58.0 67.5 100.0

Total 511 85.9 100.0

Missing System 84 14.1

Total 595 100.0

1- Senior Manager

2- Junior manager

3) AGE

Age {Years}

Frequency Percent Valid Percent

Cumulative

Percent

<25 98 16.5 19.1 19.1

25-30 208 35.0 40.6 59.8

30-35 135 22.7 26.4 86.1

35-40 67 11.3 13.1 99.2

Valid

40-45 4 .7 .8 100.0

1 2

Level

0

10

20

30

40

50

60

70

Per cent

Level

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Total 512 86.1 100.0

Missing System 83 13.9

Total 595 100.0

1

LENGTH OF SERVICE IN IT INDUSTRY:

Frequency Percent Valid Percent

Cumulative

Percent

<5 186 31.3 36.3 36.3

5-10 281 47.2 54.9 91.2

10-15 37 6.2 7.2 98.4

15-20 8 1.3 1.6 100.0

Valid

Total 512 86.1 100.0

Missing System 83 13.9

Total 595 100.0

<25 25-30 30-3535-4040-455 M

Age {Years}

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5) TOTAL WORK EXPERIENCE

Total work experience {Years}

<5 5-10 10-1515-20 Missing

Length of service in IT sector {Years}

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Frequency Percent Valid Percent

Cumulative

Percent

<5 72 12.1 14.1 14.1

5-10 203 34.1 39.6 53.7

10-15 74 12.4 14.5 68.2

15-20 156 26.2 30.5 98.6

20-25 6 1.0 1.2 99.8

Valid

Total 512 86.1 100.0

Missing System 83 13.9

Total 595 100.0

<5

5-10 10-15

15-20

20-25

Missing

Total work experience {Years}

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6)ANNUAL INCOME OF MANAGERS

Annual income {INR - Lakhs}

Frequency Percent Valid Percent

Cumulative

Percent

1-5 125 21.0 24.4 24.4

5-10 242 40.7 47.3 71.7

10-15 124 20.8 24.2 95.9

15-20 21 3.5 4.1 100.0

Valid

Total 512 86.1 100.0

Missing System 83 13.9

Total 595 100.0

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location * Level Crosstabulation

Level Total

Senior Junior

location Mumbai 70 184 254

27.6% 72.4% 100.0%

Bangalore 96 161 257

37.4% 62.6% 100.0%

Total 166 345 511

32.5% 67.5% 100.0%

1-5Lakhs5-10 lakhs 10-15 lakhs 15-20 lakhs Missing

Annual income {INR - Lakhs}

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