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TECHNOLOGICAL CHANGES:

ITS IMPACT ON

MOTIVATION AT WORK

GEN X PERSPECTIVE

Presented by:Group A4 Team Valkyrie

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INTRODUCTION

Change is the only constant- TECHNOLOGY Need to e ol e technologically in order to remain competiti e !esistance to change intrinsic and e"trinsic moti ation to change

a #actor determining the moti ation to change Technology Acceptance Model

EXTERNALFACTORS

PERCEIVEEASE OF

!SE

PERCEIVE!SEF!LLN

ESS

ATTIT! ETO"AR S

!SE

#EHAVIORAL

INTENSIONTO !SE

AC

AGE

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$et %oti ation be represented by & Generation ' be represented by and %represented by &

Null (ypothesis : $ % & $ ' )%oti ation o# Generation ' is greater than or e*ual to that o#%illennials+

Alternati e (ypothesis : $ % ( $ ' )%oti ation o# Generation ' is less than that o# %illennials+

HYPOTHESIS

O#)ECTIVE

The ob,ecti e o# this study is to test the a#ore-mentioned hypothesis usingdi erent constructs gi en belo. Percei ed Ea*e O+ !*e Percei ed !*e+,lne** Att-t,de To /se #eha.-o,/al Intent-on To /se

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MOTIVATION

0oth intrinsic and e"trinsic moti ation to use ne. technology a ectsthe beha ior o# a person to use ne. technology& 1e ha e usedper#ormance as a pro"y #or moti ation as it is an established #actthat moti ation and per#ormance ha e a strong positi e correlation&

Thus2 by measuring impact o# ne. technology on percei edper#ormance2 .e can measure the impact on moti ation&

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OPENNESS TO EXPERIENCE

3penness to e"perience is one o# the traits under the 0ig 5 Traits model6 that de7nes the personality o# a person& The*uestionnaire has speci7c *uestions related to thispersonality trait2 like 8$o es to use ne. technology92 8plan

to use ne. technology9 and 8use it e en .hen not at .ork9&

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SELF-ESTEEM AND SELF-WORTH

el#-esteem and sel#-.orth are also important personalitytraits that go ern the relation bet.een age and moti ationto use ne. technology& ;ue to higher sel#-esteem and sel#-.orth2 people 7nd it easier to ad,ust to changes&

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OBSERVATIONS

Con*t/,ct* Man,+act,/-ng Se/.-ce*=Gen ' =%illenial P- alue = Gen ' =%illenial P

Pe/ce-.ed!*e+,lne**

>&>? 4&@ @&@@BB?

>&4> 4&?5 @

Pe/ce-.ed

Ea*e o+!*e

>&4> 4&?5 @&@@@DE>

?&B> >&F? @

#eha.-o/ >&E5 >&B5 @&@E5?EB

>&?B >&5B @

Att-t,de ?&D 4&E @&@@@EE

>&EE 4&?5 E

Table 1: Mean values for Gen X andmillennials in di erent industries

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OBSERVATIONS

Con*t/,ct* Man,+act,/-ng Se/.-ce*Rat-o o

A.e/age

Pe/ce-.ed !*e+,lne** >&F@ >& 4 @&D

Pe/ce-.ed Ea*e o+ !*e ?&D> >&E @&D

#eha.-o/ >&>4 >&4E @&D

Att-t,de >&5 >&B @&D

Table 2: Mean values for Gen X and

millennials in di erent industries

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Con*t/,ct* Gen X M-llenn-al* Rat-o A.e/age

Pe/ce-.ed !*e+,lne** >&> 4&E @&

Pe/ce-.ed Ea*e o+ !*e ?&BE >&55 @&F

#eha.-o/ >&?@ >&5> @&

Att-t,de >&@F 4&EB @&

OBSERVATIONS

Table 3: Mean values for Gen X and millennials

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Age .*0 Co//elat-on

Pe/ce-.ed !*e+,lne** -@&5?E @5??5

Pe/ce-.ed Ea*e o+ !*e -@&5FB?>EF@4#eha.-o,/al Intent-on to,*e -@&>>?FF

Att-t,de -@&B?5DE

OBSERVATIONS

Table 4: Correlation between age and various constructs

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FINDINGS

n ironment )here2 type o# industry+ does not ha e an e ecton the moti ation and actual use o# technology by employees The cumulati e e ect o# person and en ironment is

comparati ely lesser than e ect on other attributes The beha ioural intention to use is not signi7cantly di erent

#or Gen ' and %illennials

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CONCLUSIONS & RECOMMENDATIONS

Concl,*-on* Gen ' are negati ely a ected by technological ad ances at .ork (igh beha ioural intention to use HI Gen ' see technology as being important (uge di erence bet.een Gen ' and millennials in 8Percei ed ease o# use9 and

8Attitude9 Thus2 Gen ' prone to #eeling demoti ated

Reco11endat-on* ncouraging employee participation during technology implementation %ore comprehensi e training Team goal setting oriented to.ards technology adoption

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Future Re e!r"#

Juture !esearch "panding the research to include more industries tudying e ect o# di erent types o# technology on moti ation Variation across nationalities Assessing the e ect o# time remaining till retirement on acceptance o#

technology Cost Analysis o# ne. technology training on Gen '

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Thank KouLuestionsM