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TEAM ENGAGEMENT by Oda Emilie Hoftun Advisor: Dr. Paul D. Tolchinsky A thesis submitted to Webster University in partial fulfilment of the requirements for the Degree ofMA Human Resources Management September 2013 St. Louis, Missouri © Copyright by Oda Emilie Hoftun ALL RIGHTS RESERVED (2013) The author hereby grants to Webster University permission to reproduce and distribute publicly paper and electronic copies of this thesis document in whole or in part for educational purposes.
Transcript
Page 1: TEAM ENGAGEMENT THESIS FINAL.docx.

TEAM ENGAGEMENT

by Oda Emilie Hoftun

Advisor: Dr. Paul D. Tolchinsky

A thesis submitted to Webster University in partial fulfilment of the requirements for the Degree ofMA Human Resources Management

September 2013

St. Louis, Missouri

© Copyright by

Oda Emilie Hoftun

ALL RIGHTS RESERVED (2013)

The author hereby grants to Webster University permission to reproduce and distribute publicly paper and electronic copies of this thesis document in whole or in part for educational purposes.

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WEBSTER UNIVERSITY

THESIS APPROVAL TEAM ENGAGEMENT

by Oda Emilie Hoftun

APPROVED:

…………………………………………….

APPROVAL DATE:

Committee Chair/Mentor

……………………………………………

Committee Member (Second Reader)

……………………………………………

Site Director/Department Chair

……………………………………………

Academic Dean

Acknowledgementsii

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A very special thanks to my master thesis advisor, Dr Paul Tolchinsky, for his genuine

interest in my thesis and knowledge about the topic, for valuable and exceptional

guidance and the amount of time he invested in my work. Further, I would like to give

thanks to my second reader, Professor Christian Newman, for spending time read this

thesis and for the thorough and good feedback. I would also like to thank Professor

Ibrahim Wazir for his statistical expertise.

Lastly I want to give many thanks to the department leader, Mr Frode Sand, for making it

possible to do research at Hafslund Customer Services Centre in Norway and the amount

of time he has invested in our meetings and responding emails. Also thanks to all the

respondents at Hafslund Customer Services Centre.

Abstract

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The main purpose of this research was to examine what energizes teams in a specific

organization. Team engagement was defined in this thesis as “a team’s experiences of

heightened positive motivational state that have a sense of purpose and focused energy

towards a team orientated goal”. Teams that are engaged are very important in the work

environment since work engagement has numbers of benefits for both organizations (e.g.

higher productivity) and the employees (e.g. higher job satisfaction).

The sample in this research included the full-time employees at Hafslund Customer

Service Centre in Oslo, Norway. A Team Engagement Survey was distributed

electronically to 97 and answered by 53 employees, besides three followed-up focus

groups with selected respondents.

The result from Stepwise Linear Regression revealed that the driver “Development

Opportunities” and the state “Vigour” explained the team level of engagement best.

“Development Opportunities” was also identified as the most important driver both in the

Team Engagement Survey and in the focus groups. The other top four drivers of team

engagement in order of importance were “Crossover Effect”, “Voice”, “Clear Goals”

and “Transformational Leadership”. Most of the employees in the teams at Hafslund felt

engaged at work (77 per cent). However, the Analysis of Variance showed that some of

the teams scored significantly lower for the drivers “Development Opportunities”, “Team

Empowerment” and “Transformational Leadership” and “Team Empowerment”.

In conclusion, all the drivers of team engagement were identified as important in the

survey results. Therefore to ask the employees how important they think a driver of

engagement is, doesn’t necessarily give the correct picture. The research from this study

suggests that Hafslund ASA should focus its resources on the drivers of team engagement

that have the biggest gap. In order to study team engagement, this research shows that it is

necessary to take into consideration both individual level, team level and organization

level to get valid results.

Table of Contents

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Section 1: Introduction................................................................................................................................ 1

1.1 Drivers of Engagement............................................................................................................21.2 Cultural and Individual Differences....................................................................................21.3 Research Questions...................................................................................................................31.4 Company Background Information.....................................................................................41.5 Quantitative and Qualitative Research...............................................................................6

Section 2: The Importance of Work Engagement..............................................................................72.1 Work Engagement Definitions.....................................................................................................7

2.1.1 Similarities of Common Work Engagement Definitions............................................82.2 Characteristics of Engaged Employees.....................................................................................9

2.2.1 Level of Engagement............................................................................................................112.4 Benefits of Work Engagement...................................................................................................122.5 Key Drivers of Work Engagement...........................................................................................12

2.4.1 Person-Job and Person-Organization Fit.......................................................................142.4.2 Voice.......................................................................................................................................... 152.4.3 Trust, Fairness and Safety...................................................................................................172.4.4 Affect regulation, recovery and relaxation....................................................................182.4.5 Job Resources..........................................................................................................................192.4.6 Personal resources................................................................................................................. 202.4.7 Relationship with Immediate Supervisor, Pride in Working for the Company, Leadership, Reward Program and Communication..............................................................21

2.6 Conclusion Key Drivers of Engagement................................................................................212.7 Summary........................................................................................................................................... 22

Section 3: Team Engagement.................................................................................................................243.1 Definitions and Perspectives......................................................................................................243.2 The Team Engagement Model...................................................................................................25

3.2.1 Inputs: What are the Drivers for Team Engagement?...............................................263.2.2 Mediator: The State of Team Engagement...................................................................313.2.3 Outcomes: The Benefits of Team Engagement...........................................................333.2.4 Macro-Level Moderators of Team engagement..........................................................34

3.3 Team Engagement Model Challenges.....................................................................................383.4 Team Complexity and Research................................................................................................383.5 Heighten Motivation Teams.......................................................................................................383.6 Summary........................................................................................................................................... 39

Section 4: Method and Data Analysis: The Quantitative Part.....................................................414.1 Research Design............................................................................................................................. 414.2 The Team Engagement Survey..................................................................................................42

4.2.1 Overall Description of Hafslund Customer Services Centre Full-time Employees........................................................................................................................................... 424.2.2 Finalized Variables for the Team Engagement Survey............................................44

4.3 Data Collection................................................................................................................................454.4 Measures............................................................................................................................................45

4.4.1 Background variables...........................................................................................................474.5 Data Analysis................................................................................................................................... 48

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4.6 Descriptive Statistics.....................................................................................................................484.6.1 Drivers of Team Engagement Mean and Variance....................................................494.6.2 The Importance of Team Engagement...........................................................................494.6.3 The Gap between Drivers of Engagement and the Importance of these Drivers................................................................................................................................................................. 504.6.4 State of Engagement Mean and Variance......................................................................51

4.7 Pre-test................................................................................................................................................524.8 Reliability and Validity................................................................................................................524.9 Analysis of Variance.....................................................................................................................54

4.9.1 Levene’s Test of Homogeneity of Variance.................................................................544.9.2 One-way ANOVA.................................................................................................................544.9.3 Tukey post-hoc test............................................................................................................... 554.9.4 Welch’s ANOVA...................................................................................................................584.9.5 Games-Howell post-hoc......................................................................................................58

4.10 Stepwise Linear Regression.....................................................................................................59Section 5: The Qualitative Part..............................................................................................................62

5.1 Appreciative Inquiry......................................................................................................................625.2 Focus Groups................................................................................................................................... 64

5.2.1 The Selections of Focus Groups.......................................................................................655.2.2 Conducting and Analysing Focus Groups.....................................................................66

5.3 Analysis of Focus Groups at Hafslund Customer Services Centre...............................665.3.1 Team Engagement Survey..................................................................................................675.3.2 Drivers of Team Engagement............................................................................................675.3.3 State of Engagement.............................................................................................................685.3.4 Level of Engagement............................................................................................................695.3.5 Improvements..........................................................................................................................69

Section 6: Discussion................................................................................................................................ 726.1 Significant Findings related to the main Research Question...........................................726.2 Significant findings related to the Sub-Research Questions............................................736.4 Limitations........................................................................................................................................ 77

Biography...................................................................................................................................................... 79Appendix 1: Team Engagement Survey Hafslund Customer Services Centre......................96Appendix 2: Connections Variables Engagement........................................................................107

List of Figures

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Figure 1: Key Elements in the Occupation of Change. Sjøvold (2006)........................1Figure 2: A model of employee engagement based on self-determination theory and the three-component model of commitment. Meyer, Gagné and Parfyonova (2010)..........11Figure 3: A model of voice and employee engagement. Beugré (2010).....................16Figure 4: Antecedents and consequences of experience trust in work organizations. Schneider et al (2010).................................................................................17Figure 5: The Team Engagement model.Richardson and West (2010)......................26Figure 6: Organizational Chart Hafslund Customer Services Centre........................43Figure 7: Gap between Drives of Engagement and the Importance of these drivers (Mean).............................................................................................................50Figure 8: The mean difference in the gap between Drivers of Engagement and the Importance of these drivers...........................................................................51Figure 9: "Development Opportunities"...........................................................56Figure 10: "Team Empowerment"...................................................................57Figure 11: "Interaction Frequency".................................................................57Figure 12: "Transformational Leadership"........................................................59Figure 13: Variance on the question “On a scale from 1-10 how engaged are you (where 1 is least engaged and 10 is most engaged)?”.......................................................62Figure 14: Mean Teams on the question “On a scale from 1-10 how engaged are you?”63

List of Tables

Table 1: Hafslund’s Core Values......................................................................4

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Table 2: Hafslund Customer Services Centre strategy, goal-setting and critical success factors.......................................................................................................5Table 3: Key Drivers of Engagement...............................................................13Table 4: High-level overview of characteristics of the work environment..................14Table 5: Overview of department, team, position and number of respondents per team studied....................................................................................................43Table 6: Finalized Variables for the Team Engagement Survey..............................44Table 7: Background Variables......................................................................48Table 8: Drivers of Team Engagement mean, standard deviation and coefficient of variance...................................................................................................49Table 9: Importance of Team Engagement mean, standard deviation and coefficient of variance...................................................................................................50Table 10: Behavioural Engagement mean, standard deviation and coefficient of variance.............................................................................................................51Table 11: Feelings of Engagement mean, standard deviation and coefficient of variance.............................................................................................................52Table 12: Cronbach’s Alpha..........................................................................53Table 13: Levene's Test...............................................................................54Table 14: “Development Opportunities”..........................................................55Table 15: "Team Empowerment"....................................................................56Table 16: "Interaction Frequency"..................................................................57Table 17: "Transformational Leadership".........................................................58Table 18: Model Summary...........................................................................60Table 19: Collinearity Diagnostics..................................................................61Table 20: Why didn’t you mark a lower score?..................................................63Table 21: What needs to change to move 1-2 points higher?..................................64

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Section 1: Introduction

The engagement of employees is a very important factor in the working environment

since engagement can lower accident rates, get higher productivity, create fewer conflicts,

more innovation, lower numbers leaving, reduce sickness rates and more (MacLeod and

Clarke, 2012; Fleck and Inceoglu, 2010; Harter, Schmidt and Hayes, 2002). Work

engagement can for this and other beneficial reasons, be a competitive advantage for a

company (MacLeod and Clarke, 2012). In addition, Little and Little (2006) argue that

work engagement is also a team-level phenomenon. Salanova, Agut and Peiro (2005)

support this and state that work engagement is not just an individual phenomenon – it also

occurs in teams. It appears that individuals in some teams are more engaged than in other

teams and some teams are more engaged than others. After studying 130 teams from

various organizations, Bakker and Schaufeli (2001) showed, in their research, that the

collective level of team engagement was associated with the individual level of

engagement of the team members. In other words, the more engaged the team – the more

engaged were the individuals in this team.

Figure 1: Key Elements in the Occupation of Change. Source: Sjøvold (2006, 14).

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Further, Sjøvold (2006) demonstrates that all the levels in an organization are connected

(see Figure 1). Further, they are also affected by environmental factors. Sjøvold (2006)

argues that in order for individuals and teams to develop, you must take into

consideration all the factors shown in Figure 1. For this reason the following literature

review addresses individual, team and organizational levels of engagement. A sole focus

on team level engagement would prove to be inadequate if the organization culture does

not support it. It is for this reason that most research, which focuses on an individual

level, can also be used on a team level. Research exclusively on team engagement is rare.

The following literature review is divided in two parts – the first focusing on work

engagement on an individual level and the second on a team level. Both parts focus also

on organizational level.

1.1 Drivers of Engagement

Macey et al (2009) state that the drivers of work engagement are the factors that impact

the employee’s ability to maximize her/his contribution to the company. According to

Fleck and Inceogly (2010, 10) drivers provide “the keys to taking action to increase

engagement and performance”. Richardson and West (2010) argue that these drivers also

impact teams. The main part of the second section will therefore discuss the key drivers

of work engagement on an individual level while the third section will discuss drivers of

team engagement. Section 4 will focus on the research methodology behind this study and

will illustrate how these drivers are connected. In fact, most of the drivers found in

research literature on both individual level and team level appear similar and sometimes

almost identical.

1.2 Cultural and Individual Differences

Most of the research reviewed for this thesis is from North America, UK and Holland.

Although some argue that there is a huge similarity in Western cultures with regard to

team dynamics, Sjøvold (2006) argues that this is not quite correct. The dynamics driving

leaders and teams in North American and Scandinavian settings do show some major

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differences. In fact, research shows that Scandinavian and Asian team interaction patterns

may have more in common than North American and Scandinavian teams.

Besides, Sjøvold (2006) adds that team building should always be tailored by individual

needs. Every team is different and unique. Further, personal differences such as

motivation and personality are expected to influence most of the components of team

engagement. According to the Self-Determination Theory of motivation (SDT) Meyer,

Gagné and Parfyonova (2010) argue that some individuals are more easily engaged than

other employees. For example, people with a high level of emotional stability are more

likely to experience higher level of optimism than people with low levels of emotional

stability (Fleck and Inceoglu, 2010). For these reasons, the drivers and the state of

engagement will probably vary across and within different teams.

1.3 Research Questions

The main research question of this study is to examine what energize teams in a specific

organization.

For the purpose of this study the following definition of team engagement will be used:

“Team engagement is a team’s experiences of heightened positive motivational and

energized state towards a team orientated goal”.

Since the main purpose of this research is to examine what energize teams in a specific

organization, the author aim was therefore to find an organization whose production

process was team based. The Customer Services Center at Hafslund ASA does indeed

utilize teams and as the company volunteered for this research and showed a keen interest

for the research, it was an excellent choice as test subject.

The following sub-research questions will be explored:

Why is it so critical for the organization to understand and embrace team

engagement?

What are the key drivers for team engagement in one organization?

What constitute the state of engagement in one organization?

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How does engagement vary across teams in one organization?

Where should the organization focus its resources and take action to improve

engagement in teams?

The reason for choosing to focus on teams, is to focus on one specific aspect and at the

same time go more in depth in one specific area. From the author perspective it is

challenging but interesting to explore the factors that energize teams because of the

complexity of team dynamics. The reason for choosing a specific company and industry

is that work engagement is such a complex theme and according to MacLeod and Clarke

(2012) there are no models of engagement that fit into all industries and companies. Only

one author has looked at the topic across industries (Bruch and Vogel, 2011).

Additionally, different organizations will vary in their needs and approach to engagement.

Therefore, in order to delineate the thesis and make it more relevant to a real work

situation, this study will concentrate on one company in the Norwegian market.

1.4 Company Background Information

Hafslund ASA (from now on called Hafslund) is a Norwegian company that was

established in 1898. Hafslund is one of the largest utility companies in the Nordic area

and is listed on Oslo Stock Exchange. The company is Norway’s largest network owner,

largest in electricity sales and a significant producer of renewable energy. Hafslund

produces electricity from environmentally friendly hydropower and develops bio energy

and district heating.

Hafslund’s mission statement is “delivering energy solutions and infrastructure for the

future – simply and efficiently”. Hafslund has three core values, as shown below.

Table 1: Hafslund’s Core Values

Core Value What the core value means for Hafslund:

Integrity - take responsibility and keep our promises- act with self-confidence and respect for others

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- welcome the success of co-workers, and help each other advanceCourage - take initiative

- dare to challenge the status quo- dare to take risks and make allowances for the occurrence of mistakes

Spirit - to be engaged in our work- show both pride and pleasure in our work- exhibit good spirit and humour

Source: Hafslund’s website (2013).

Hafslund ASA owns Hafslund Customer Services Centre. This Services Center is

responsible for all customer services provided to customers of the Group’s Network

power distribution and Power Sales businesses. The Customer Services Center has 565

000 customers and 190 employees. The managing director is Mr. Frode Sand.

The Customer Services Centre strategy, goal-setting and critical success factors are

shown in Table 2 below.

Table 2: Hafslund Customer Services Centre strategy, goal-setting and critical success factors

Strategy Extraordinary customer experiences with everyone that are in touch with Hafslund Customer Services Centre

Competitive and cost effective delivery of customer services Increased added value through increased upsell Known and attractive in the job market with engaged and competent

employeesGoal Setting

Experienced customer services > 80 p *) Basis costs per customer < NOK 127 Motivation and presentations indicator > 4.2 **) Resolved in first contact > 85 % Sickness Absence < 8 %

* ) On a scale from 1-100* *) On a scale from 1-5

Critical Success Factors

Clear goals High level of experienced job autonomy Supporting management Customer operated innovation Attractive and effective self-served solutions

Source: Hafslund Customer Services Centre PPP (2013).

1.5 Quantitative and Qualitative Research

In order to test out the research questions, it has been chosen to focus on a quantitative

survey and qualitatively on follow-up focus groups. This combination of methods was

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chosen to strengthen the total research. The Team Engagement Survey was distributed

electronically to 97 full-time employees at Hafslund Customer Services Centre. Fifty-

three full-time employees answered the survey. Three follow-up focus groups were

conducted after the survey to explore the results more in depth. The method, analysis and

results are presented in section 4 and 5.

The discussions on the significant results from the research are discussed in section 6 and

will include discussions, conclusions and limitations.

Section 2: The Importance of Work Engagement

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The purpose of this literature review (Section 2 and 3) is to identify the most relevant

research on the topic of team engagement. This section will introduce the concept of

“work engagement”. There is currently universally accepted definition of work

engagement. Consequently the first part of this review explores the different uses of the

concept; it discusses what characterizes engaged employees and their level of engagement

and finally the benefits of engagement for the organization. The main part of this section

will discuss the key drivers of work engagement.

2.1 Work Engagement Definitions

There currently exists no universally accepted definition for “work engagement”

(MacLeod and Clarke, 2012). Additionally, there are debates on how to study the concept

and what it looks like and when it is achieved. Furthermore, there are few, if any,

statistics on what a realistic level of work engagement generally should be for employees

and for different subgroups (Welbourne, 2007). Definitions of work engagement from

various sources show the differences in perspectives:

“an individual’s sense of purpose and focused energy, evident to others in the display of personal initiative,

adaptability, effort, and persistence direct toward organizational goals” (Macey et al. 2009, 7).

“a person’s enthusiasm and involvement in his or her job” (Roberts and Davenport, 2002, 21).

“a subjective experience with two core dimensions: energy and involvement/ identification” (Bakker and

Leiter, 2010, 188)

“the emotional commitment the employee has to the organization and its goals” (Kruse, 2012, 5).

‘‘a positive, fulfilling, work- related state of mind that is characterized by vigour, dedication and

absorption” (Schaufeli et al, 2002, 74).

High levels of energy and mental spirit while working describe vigour. Dedication is

described as being strongly involved in the work and has a sense of significance,

enthusiasm and challenge. Absorption is described as being totally immersed in the work,

whereby time flies and people have problems with detaching themselves from the work

(Bakker and Demerouti, 2008). Further studies are needed to consider whether absorption

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is a core aspect of work engagement or an outcome of energy and identification, and

efficacy (Bakker, Albrecht and Leiter, 2011).

Given the lack of agreement on the definition of work engagement, the author will

determine on a suitable definition for this study. A working definition needs to be tested

out and refined according to standards of the organization or the work situation (Dicke,

Holweda and Knotakos, 2007). Any lack of clarity in defining what engagement means at

a strategic level and how it is established in line-managers behaviours will result in a poor

result to communicate to the whole organization (Macey et al. 2009). Since the main

purpose of this research is to examine what to energize teams, the author will need a

definition on team level.

2.1.1 Similarities of Common Work Engagement DefinitionsAlbrecht (2010) states that common to the definitions of work engagement are the idea

that it is a positive work-related psychological state reflected in terms such as enthusiasm,

energy, passion and vigour. Work engagement is also a motivational state reflected in a

real willingness to invest focused effort towards organizational goals. According to

Bakker et al. (2008), most researchers agree that work engagement includes an energy

dimension and an identification dimension. This is since engaged employees often is

characterized by a high level of energy and strong identification with one’s work. Macey

and Schneider (2008) argue that the definitions of work engagement share similarities like

a desirable condition, has an organizational purpose and implies involvement,

commitment, passion, enthusiasm, focused effort and energy.

Erickson (2005) argues that work engagement has both attitudinal and behavioural

components. The outcome of these factors should be a competitive advantage for the

company. MacLeod and Clarke (2012) do support the views of Erikson (2005) and

believe that work engagement has attitudinal, behavioural and outcome components. An

employee might feel pride and loyalty (attitude), be a great supporter of their company or

go the extra mile to finish a piece of work (behaviour). Outcomes may include lower

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accident rates, higher productivity, fewer conflicts, more innovation, lower turnover rate

and reduced sickness rates. Macey et al. (2009) also supports this but call the altitudinal

part for philological components.

These three parts of engagement are often mixed. Fleck and Inceoglu (2010) argue that

although work engagement includes these three components, it should be treated as a state

of mind and separated from expected outcome behaviours for the reason that employees

don’t necessarily exhibit typical outcomes behaviours of work engagement such as

working hard, supporting the company or going the extra mile to finish a piece of work

because they are engaged. Situational factors, such as fear or losing one’s job, can

influence the individual’s perceived state of engagement and can possibly confound the

state of work engagement. Utilizing these principles will, according to Fleck and Inceoglu

(2010), resolve many of the difficulties with a variety of definitions of employee

engagement.

MacLeod and Clarke (2012) argue that there is a virtuous circle when the company meets

the conditions of work engagement. The three components of engagement further trigger

and reinforce one another. According to MacLeod and Clarke (2012) there are three

things that appear to be clear about work engagement: it is measurable, it can be

correlated with performance and it varies from poor to great.

2.2 Characteristics of Engaged Employees

According to Davenport and Roberts (2002) engaged employees identify personally with

their job and are motivated by the work itself. This fits with the view of MacLeod and

Clarke (2012) that engaged employees have a sense of personal attachment to their work

and organization and they are motivated and able to give of their best to help it succeed.

Structured qualitative interviews with a collection of Dutch employees from various

professions who scored high on the Utrecht Work Engagement Scale (which is one of the

most commonly used scales to measure work engagement) show that engaged employees

have high energy and self-efficacy (Schaufeli et al., 2001). People with high self-efficacy,

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believe that they can and will perform successfully (Blanchard and Tacher, 2013). High

energy and self-efficacy helps the employees to have influence over events that affect

their work. For example, because of their positive attitude and activity level, engaged

employees create their own positive feedback, in terms of appreciation, recognition, and

success (Schaufeli et al., 2001).

Several of the interviews with Dutch employees indicated that their enthusiasm and

energy also appear outside work for example in sports, creative hobbies and volunteer

work. Although, engaged employees can, as anyone else, feel tired after a long day of

hard work, they described their tiredness as a somewhat enjoyable condition because they

associated it with positive achievements (Bakker and Demerouti, 2008). Engaged

employees have a tendency to work harder and be more productively than others

(Davenport and Roberts, 2002). They are also more likely to produce the results their

customers and organizations want. For instance, engaged employees describe that their

jobs make good use of their skills and abilities, their work is challenging and stimulating

and their work provides them with a sense of personal achievements. However engaged

employees are not addicted to their work and enjoy other things outside work. Unlike

workaholics, they do not work hard because of a strong and irresistible inner drive, but

rather on the motivation that work is fun and challenging (Bakker and Demerouti, 2008).

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2.2.1 Level of Engagement

Figure 2: A model of employee engagement based on self-determination theory and the three-component model of commitment. Source: Meyer, Gagné and Parfyonova (2010, 68).

Meyer, Gagné and Parfyonova (2010) distinguish between disengagement, contingent

engagement and fully engagement (Figure 2). The employees that are disengaged are said

to be lacking in internal regulation or directed activity. They have little commitment to

their job and organization and can therefore leave easily. In contrast, fully engaged

employees are autonomously in control. They are instinctually motivated and they are

likely to have a strong affective commitment. The key to move employees towards fully

engagement is satisfaction of the employees’ basic psychological needs. Organizations

should, according to Meyer, Gagné and Parfyonova (2010), evaluate different strategies

or practices to increase their engagement potential by carefully consider how it is likely to

contribute to the satisfaction of the employees’ needs for relatedness, competency and

autonomy. However organizations need to keep in mind that the intensity of the fully

engaged employees can vary over time. Variation in engagement over time can be for

different personal or situational reasons (Fleck and Inceoglu, 2010).

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2.4 Benefits of Work Engagement

Work engagement is beneficial for both the employees and the organization (Fleck and

Inceoglu, 2010). An organization where the majority of employees are engaged, is more

likely to experience benefits such as increased revenue, profitability, lower turnover rate,

lower accident rates, fewer conflicts, more innovation, lower numbers leaving and

reduced sickness rates (MacLeod and Clarke, 2012; Fleck and Inceoglu, 2010; Harter,

Schmidt and Hayes, 2002). There is also evidenced that engaged employees are more

likely to meet the needs of their customers, thereby improving customer loyalty and

satisfaction (Roberts and Davenport, 2002). Engaged employees are expected to obtain

higher benefits such as higher level of job satisfaction and increased well-being etc.

(Fleck and Inceoglu, 2010).

For these reasons, engaged employees are very important in today’s work environment

and can therefore be a competitive advantage for a company. The employer can impact

work engagement when they have the right knowledge, skills and attitude on how to do it

(MacLeod and Clarke, 2012)

2.5 Key Drivers of Work Engagement

The key drivers of engagement are the factors that impact the team’s ability to stay highly

engaged. MacLeod and Clarke (2011) state that there are no drivers of engagement that fit

into all industries and companies. Only one author has looked at the topic across

industries (Bruch and Vogel, 2011). The organization will need to know the pool of

potential drivers that are likely to be relevant for most organizations and industries in

order to identify key drivers (Albrecht, 2010). In order for the organization to identify

potential drivers, the organization should look at previous research on work engagement

and conduct an empirical analysis of engagement in the organization (Scherbaum et al.,

2010). The organization should also consider theoretical models and frameworks that help

to understand the reason why the drivers relate to engagement (Albrecht, 2010).

Different organizations will vary in their needs and approach to engagement (MacLeod

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and Clarke, 2011). Analysis needs to be conducted in different contexts to determine

which of the pool of drivers is most noticeable in each specific context. For instance, the

key drivers of work engagement are probably different in the construction sector from

those in the IT sector (Albrecht, 2010). In order for the organization to decide where to

focus its resources and take action to improve engagement, the organization should

additionally to the methods described above, think of other considerations like what is

possible to improve and what are the most effective factors for doing this. This can be

made clear in a combination of statistical analysis (Scherbaum et al., 2010).

Unfortunately, according to Scherbaum et al. (2010), the statistical techniques that are

traditionally used to identify important drivers of work engagement can be misleading.

One cause of this is the continued use of strategies that fail to take advantage of modern

analytical approaches. Modern statistical approaches are therefore much more

satisfactory. On the other hand, if a statistical approach is based on poor engagement

survey, this will potentially mislead the organization to take wrong decisions.

Table 3: Key Drivers of Engagement

Key Drivers of Engagement ResearchersPerson-Job and Person-Organization fit Fleck & Inceoglu (2010)Voice Beugré (2010)Trust, Fairness and Safety Schneider et al. (2010)Affect regulation, recovery and relaxation Binnewies & Fetzer (2010)Job Resources Mauno, Kinnunen and Ruokolainen (2007)

Finland and Bakker and Demerouti (2008) and Bakker and Leiter (2010).

Personal resources Halbesleben (2010) Xanthopoulou, Bakker, Demerouti and Schaufeli (2009)

Relationship with immediate supervisor, pride in working for the company, leadership, reward program and communication

MSW Research and Dale Carnegie Training (2012) and WorkCanada (2006/2007)

Table 3 above shows some key drivers of engagement. Each of these drives will be

described more in details.

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2.4.1 Person-Job and Person-Organization Fit

Person-job and person-organization fit are characteristics of the work environment. The

work environment shapes the experience the employees have at their work, and can either

push the employees to become engaged or drive them towards disengagement. The

environmental characteristics are critical to understanding what makes employees engage,

and they are the sources to taking action to increase engagement. Therefore the work

environment is expected to play a critical role in determining employees’ state of

engagement. Employees that experience better fit with the work environment are

predicted to obtain a higher level of engagement (Fleck and Inceoglu, 2010).

The researchers have based the classification of the work environment on Warr’s

“Vitamin” model. In it, thirty-eight job features and ten organizational job features were

identified to predict work engagement (see table 4). Further, a person-environmental fit

was integrated into the measurement approach of the model. When measuring the features

of work environment respondents is asked how much of it they would like in their ideal

job/organization and to what extent they perceive this feature today (Fleck and Inceoglu,

2010)

Table 4: High-level overview of characteristics of the work environment

Job-level features 38 features: 9 factors, 2-5 features per factor

Organization-level features 10 features

1. Challenge (6 features) Wider influence

2. Ethics (4 features) Vision

3. Competition (4 features) Effective communication

4. Interaction (3 features) Fairness

5. Career ambition (5 features) Ethics

6. Personal impact (4 features) Effective decision-making

7. Supportive environment (6 features)

Customer orientation

8. Work setting (4 features) Bureaucracy

9. Development (2 features) Employee relations

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Cross-functional cooperation

2.4.2 Voice

According to Budd (2010, 5) voice is “the ability of employees to have meaningful input

into workplace decisions”. In today’s work climate employees should be entitled to

provide input on decisions that affect their daily lives. To have a voice is essential for

employees in a democratic society because of the belief that these should be permitted the

same democratic principle as the general population (Budd, 2010). According to Freeman

and Rogers (2006) a survey conducted with American employees discovered that sixty-

three per cent want more influence over company decisions that affected their working

lives. This employees also said that they would have enjoyed their work more if they had

a greater voice in the company.

Voice can help to create working environments that facilitate employee engagement

(Macey and Schneider, 2008). According to Korsgaard and Roberson (1995) voice

influence employees’ attitude towards decisions because they feel they have an

opportunity to indirectly influence the decision. Taylor and Lind (1992) explored that

voice increases perceptions of fairness because the employees feel that they are being

treated with politeness, dignity and respect. Axelrod (2001) and Luecke (2003) state that

voice encourages employees to act and they are therefore contributing to organizational

change.

There is a missing link in the research as to whether voice could influence other factors

such as work engagement. Though Beugré (2010) have developed a theoretical model

that explores the impact voice has on work engagement. Figure 3 below implies a positive

relationship between voice and state engagement that also impacts behavioural

engagement. According to Beugré (2010) state of engagement can be considered as an

attitude and therefore not be observed. State of engagement can only be implied from an

actual behaviour, such as behavioural engagement. Hence, employees are expected to be

more engaged when they have a voice in their job.

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Figure 3: A model of voice and employee engagement. Source: Beugré (2010, 178)

Although, the model implies the positive effect of voice on work engagement, it also

identifies four moderators that could affect the conditions. These moderators are

described below (Beugré, 2010).

1. The value of voice

The employees that think voice is important will be engaged when they get their

opportunity to use their voice. On the hand, the employees that don’t value voice

will not be positively influenced about the opportunity to give their voice (Beugré,

2010).

2. The extent to which voice is considered by decision makers

When the organization is giving the employees the opportunity to have a voice, it

will positively affect work engagement. On the other hand, when voice is ignored

by the organization, it will negatively affect engagement. It can discourage voice

and even lead to disengagement (Beugré, 2010).

3. The extent to which voice is expected

When employees expect to have a voice, the opportunities of voice can positively

affect engagement. On the other hand, when the employees do not expect to have

a voice, offering it may not have a positively effect on engagement Beugré (2010).

4. Voice as corresponding to cultural values

In cultures where employees are sensitive to voice, voice could have a positive

effect on engagement. However in cultures where the employees are not sensitive

to voice, having a voice would not have an effect on engagement Beugré (2010).

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2.4.3 Trust, Fairness and Safety

Schneider et al (2010) figure shown below indicates that trust occur in situations where

employees are treated fairly by supervisors, peers and their organization. According to

Schneider et al (2010) fairness leads to trust and trust in turn creates improved probability

that employees will take risks in their engagement behaviour. Employees are more likely

to take risk since they feel safe, don’t fear to be punished and believe that they will be

recognized for taking risks. Therefore trust produces the risk taking necessary for

engagement. The model, however fails to explain that management must be involved to

achieve engaged employees.

Figure 4: Antecedents and consequences of experience trust in work organizations. Source: Schneider et al (2010, 160)

According to Schneider et al (2010) trust must be built and it can occur or fail very

quickly, especially for new employees. In addition, people learn to trust based on what

happens not only to themselves but also to others. The behaviours in teams should

therefore be constantly observed if trust is to be developed and sustained. Schneider et al

(2010), state that managers are possibly more aware of trust and fairness issues, than co-

workers are. In order to establish trust, the employees should have early experiences with

fairness and everyone should have training in how to repair trust. Further, issue of

fairness and trust should be included in appraisal reviews for all employees. Lastly it

should be an aspect in performance decisions.

2.4.4 Affect regulation, recovery and relaxation

According to Binnewies and Fetzer (2010) research shows that positive affective states

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and affect regulation are connected to increased work engagement.

Affective states is a term used to describe the feelings a person experiences at the

moment; such feelings include: sadness, happiness and enthusiasm (Binnewies and

Fetzer, 2010). Just a small number of studies have analysed affective state as drivers of

work engagement. For example Sonnentag (2003) found that on days when an employee

feels more recovered in the morning (which is an affective state), the employee are more

engaged during the day. Schulz (2008) research shows that a daily negative state affects

negatively, and a daily positive state affects positively. Xanthopoulou’s et al (2009)

research found that optimism affect work engagement. According to Saavedra and Kwun

(2000) workplace redesign (e.g. more job control, significance, feedback, identity and

task variety) is a way to improve affective states of the employees.

According to Baumeister, Muraven and Tice (2000) affect regulations refers to a

particular form of self-regulation with intention to foster a person’s positive affective

states and managing a person’s negative affective states. Schulz (2008) studied 140

employees from different occupations over five working days. The research showed that

enjoyable cognitive distractions (e.g. thinking of something pleasant), reappraisal and

seeking social support were affecting work engagement. In addition, the study revealed

that employees being involved in enjoyable cognitive distractions at work during the

morning and during their lunch break, felt more engagement during the day because they

experience more daily positive effect. Opposite to what was believed, seeking social

support was related to negative effects.

In her studies, Fetzer (2009) found that engaging in relaxing activities at work (e.g.

listening to music or drinking a tee during break) is positively associated with work

engagement. Further, employees that had a high level of time pressure, felt more engaged.

In contrast to Schulz (2008) seeking social support was found to increase the work

engagement when this was identified as an effective strategy to regulate own affect.

However it was not directly associated with work engagement.

Binnewies and Fetzer (2010) interviewed employees about the strategies they used at

work to encourage their affective state and well-being. Their study showed that

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employees used a variety of engagement strategies (e.g. seek social support and

reappraisal) and diversion affect-regulation strategies at their job (e.g. relaxing activities,

active/energy activities and cognitive distractions).

Additionally, Binnewies and Fetzer (2010) identified a new category they called

“supporting strategies”. Supporting strategies are strategies that have the intention to

establish a supporting working environment. This can for instance be supporting

management of the employees’ work (e.g. doing an encouraging work task after ending a

discouraging work task), time management, actively encouraging a positive team climate

(e.g. breakfast with co-workers) and designing the workplace (e.g. pictures and plants).

The researchers found that those employees that were more involved in supporting affect-

regulation activities were more engaged.

2.4.5 Job Resources

According to Bakker and Demerouti (2007) job resources are the physical, social or

organizational aspects of the job that may reduce job demands, be efficient in achieving

goals or stimulate personal growth. Job resources can be autonomy, social support from

co-workers and skill variety. According to Van den Broeck et al. (2008), job resources are

believed to be a part of the employees’ intrinsic motivation because they fulfil human

basic needs e.g. the needs for autonomy, relatedness and competence. On the other hand

according to Meijman and Mulder (1998) job resources are also believed to take part in

employees’ extrinsic motivation for the reason that resourceful work environments foster

the willingness to dedicate efforts and abilities to the work tasks. For example,

performance review and supportive leadership can increase the likeliness for employees

to achieving their goals.

Research conducted by Mauno, Kinnunen and Ruokolainen (2007) shows that increases

in employee experiences of job control and support at work consistently predict an

increase in work engagement over time. These findings suggest how the organization can

influence work engagement over time. Additionally, the studies of Schaufeli, Bakker and

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van Rhenen (2009) show that changes in job resources (like increase in social support,

autonomy, opportunities to learn and performance review) drive work engagement over a

period of one year. Halbesleben’s (2010) meta-analysis also supports this, which showed

that feedback, autonomy, social support and organizational climate are consistently

related with engagement and/or specific aspects of engagement. The research of Mauno,

Kinnunen and Ruokolainen (2007) supports the concept of mutual relations between job

resources and work engagement, in such a way that resources predict engagement and

that engagement predicts resources.

2.4.6 Personal resources

Personal resources is defined according to Luthans, Youssef, & Avolio (2007, 3) as “an

individual’s positive psychological state of development characterized by: (1) having

confidence (self efficacy) to take on and put in the necessary effort to succeed at

challenging tasks; (2) making a positive attribution (optimism) about succeeding now and

in the future; (3) persevering toward goals, and when necessary, redirecting paths to

goals (hope) in order to succeed; and (4) when beset by problems and adversity,

sustaining and bouncing back and even beyond (resilience) to attain success’’.

Xanthopoulou, Bakker, Demerouti and Schaufeli (2009) studies show that personal

resources like self-efficacy, organizational based self-esteem and optimism are

exceptional drivers to engagement over time. Halbesleben’s (2010) meta-analysis also

showed that personal resources as for example, self-efficacy and optimism are strongly

related to engagement.

2.4.7 Relationship with Immediate Supervisor, Pride in Working for the Company,

Leadership, Reward Program and Communication

A recent study by MSW Research and Dale Carnegie Training (October 2012) that

surveyed 1500 employees in the US, explored three key drivers of work engagement. The

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study concluded that although there are many aspects that influence work engagement,

the three key drivers are relationship with immediate supervisor, belief in senior

leadership and pride in working for the company (Lipman, 2012).

The Watson Wyatt Work Canada survey (2006) asked more than 3000 Canadian

employees across all job levels and industries. They found that the key drivers of work

engagement were the management’s ability to demonstrate leadership and strategic

directions that build confidence for long-term success, effective reward program and

frequent, clear, two-way employee communication. The study found further that

employees mainly are engaged by the same drivers, despite differences in generations

(Tower Watson, 2007). Further, the Watson Wyatt study (2006) found that Canadian

companies with high work engagement levels prove better annual total returns to

shareholders (TRS), higher market premiums and higher productivity levels than those

with low engagement.

2.6 Conclusion Key Drivers of Engagement

Some of the most important key drivers of work engagement from theoretical frameworks

and previous analysis and researches have been presented. There are several other key

drivers of engagement that was not included because of the relevance to the research at

Hafslund Customer Services Centre. In conclusion, although different researchers have

analysed the key drivers for predicting work engagement, they are very complex to

address empirically. Firstly, among a set of drivers, which are critical to include in a

model of engagement? Secondly, which of the drivers included in the model are the most

important for predicting engagement? (Scherbaum et al. 2010, 183). Key drivers of work

engagement depend on a number of factors like the kind of industry, sector, cultural and

individual differences. These are making the identification of key drivers of engagement

even more complex to identify and it will require further research. According to Albrecht

(2010) researchers need to agree on a coherent and comprehensive set of drivers, which

can be applied across a broad range of organizational contexts. According to Scherbaum

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et al. (2010) no statistic methods on their own or in combination can provide satisfactory

answers to the key drivers of work engagement.

In addition, in order to identify the key drivers of work engagement, there will need to be

identified what actually drives engagement. Sometimes researchers mix drivers of

engagement, the state of engagement itself and the expected outcomes. For example,

MSW Research and Dale Carnegie Training (2012) identify that “pride in working for the

company” is a driver of work engagement. Though, according to Fleck and Inceoglu

(2010) this factor is not a driver of engagement, but a behavioural factor of state of

engagement. Furthermore as Fleck and Inceoglu (2010) pointed out earlier in this section,

the employees do not necessarily have “pride in working for the company” because they

are engaged. When the organization treats the state of engagement and the outcome of

engagement as drivers, it will result in an inaccurate measure of the drivers and the

organization will possible make the wrong decisions. This can according to Fleck and

Inceoglu (2010) be avoided if engagement is treated as a state and divided from

behaviours expected from being engaged.

2.7 Summary

Work engagement is a unique concept; however there is currently no collective agreed

definition of work engagement, although most of the definitions share similarities. Some

similarities are the idea that work engagement is a positive work-related psychological

and motivational state, reflected in willingness to invest focus energy towards

organizational goals. Some researches argue that work engagement has both attitudinal,

behavioural and outcome components. These three parts of engagement are often mixed.

Fleck and Inceoglu (2010) argues in order to resolve many of the difficulties with a

variety of definitions of work engagement, it should be treated as a state and divided from

expected behaviours. Despites no collective agreement, there are three things that seem to

be clear about work engagement: it is measurable, it can be correlated with performance

and it varies from poor to great (MacLeod and Clarke, 2012).

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Some common characteristics of engaged employees are that they are motivated by the

work itself, identify personally with their job and have a sense of personal attachment to

their job. Research also shows that engaged employees have high level of energy and

self-efficacy (Schaufeli et al., 2000). Work engagement can be distinguished between

disengaged, contingent engagement and fully engagement (Meyer, Gagné and Parfyonova

(2010). The key moving towards fully engagement is satisfaction with employees’ basic

psychological needs. Work engagement can be both beneficial for the organization (e.g.

increased revenue) and for the employees (e.g. increased job satisfaction).

The key drivers of engagement are the factors that impact the team’s ability to stay

engaged. In order to identify the key drivers of engagement, the organization will need to

know the pool of potential drivers that are likely to be relevant. For the key drivers of

engagement used in this section, please look at table 3.

Section 3: Team Engagement

This section, the second part of the literature review, starts with a review about definitions

and perspectives about team engagement and ends up with the author own definition. The

main part of this section will concentrate about the Team Engagement Model. The author

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have emphasized a lot on this model because it describes team engagement very well,

besides being and the only model she have found about team engagement. The last part of

this section is about heightened motivation, which is an essential part of the author own

definition of team engagement.

3.1 Definitions and Perspectives

According to Kozlowski and Klein (2000) team engagement can result from the social

interactions, behaviours and cognitions of individuals. Richardson and West (2010) argue

that the definition of work engagement by Schaufeli et al (2002, 74) (‘‘a positive,

fulfilling, work- related state of mind that is characterized by vigour, dedication and

absorption”) also hold considerably at team level. According to Richardson and West

(2010) team engagement derives bottom-up from team members’ interaction process

towards the team task and objectives.

Richardson and West (2010, 324) therefore define team engagement as “an emergent

collective construct whereby a team experiences a heightened positive affective-

motivational state characterized by a sense of vigour, absorption and dedication”.

According to Carver and Scheier (1990) vigour is “reflected in a team’s high level of

physical liveliness, cognitive alertness and interpersonal energy and can facilitate goal-

directed behaviours”. Dedication, according to Richardson and West (2010, is

characterized (or defined as) 324) “high levels of team identification to a vision, strong

commitment to tasks and roles and persistence to times of challenge and adversity”.

Further, absorption is defined as “a team which is fully focused and immersed in its work

whereby time flies by unnoticeably and the team find it difficult to detach itself from its

tasks” (Richardson and West 2010, 324).

According to Katzenbach and Smith (2004, 5) a team is “a small number of people with

complementary skills who are committed to a common purpose, set of performance goals,

and approaches for which they hold themselves mutually accountable”. Katzenbach and

Smith (2004) state that the fundamental distinction between teams and groups, is that

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teams strive for something better than its members could achieve individually. According

to Richardson and West (2010, 323) team engagement is “the key to creating effective,

positive team-based organizations”. Extensive research has shown that team engagement

and empowerment has been shown to be important for collaborative decisions in teams

(Watson, Michaelsen and Sharp, 1991). Research also showed that team engagement

plays a mediating role between social resources perceived at the team level and team

performance as assessed by the supervisor ratings. Team social resources are for example

supportive team climate, coordination and teamwork (Torrente et al. 2012).

The definition of Richardson and West (2010) on team engagement has been chosen as a

framework in this study, taken into consideration that the study will go on in a Norwegian

setting with special organizatorical needs. The definition is also based on previous

research. On this background, the definition of team engagement in this study is “a

team’s experiences of heightened positive motivational and energized state towards team

orientated goals”.

3.2 The Team Engagement Model

Figure 5 below shows Richardson and West (2010) Team Engagement Model. The model

is based on an Input-Mediator-Outcome (IMO) framework (Ilgen et al., 2005), with the

idea that team processes mediate input-output relationship. The model also supports the

idea that temporal dynamics influence the development of team engagement (Richardson

and West, 2010). The development line underneath the model demonstrates how teams

change over time and are influenced differentially by micro- and macro-level factors as

they develop (Kozlowski et al., 1999).

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Figure 5: The Team Engagement model. Source: Richardson and West (2010, 325)

3.2.1 Inputs: What are the Drivers for Team Engagement?

The first section of the micro-level part in the Team Engagement Model is the team-level

inputs, which are the drivers for team engagement according to Richardson and West

(2010).

Team TaskHow well the team is designed for task performance can have a great influence on how

well the team will function (Cummings and Worley (2009) and therefore have an

important impact on engagement (Richardson and West, 2010). According to Kozlowski

and Ilgen (2006) the design of a team task is a critical input for deciding how team

members must work together, including team members’ roles, workflow processes,

collective goals and team member interactions.

Cummings and Worley (2009) state that the task design should follow the team’s

missions and goals to give direction for task achievements. The mission and goals should

be closely aligned with the organization’s corporate strategy and objectives so the team

can see how their performance contributes in the organization’s success. This will

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enhance team-members commitment to goals (Cummings and Worley, 2009), and

probably result in higher engagement (Richardson and West, 2010).

According to Van der Vegt, Emans and Van der Vliert (2001) task interdependence is

especially important, which is the extent to which team members must share materials,

information or knowledge to perform their job. According to Richardson and West (2010)

the most important are that the task itself is so challenging and complex that it is best

achieved by a team. McShane and Von Glinow (2010) supports this and state that the

complexity is most suited to teams when the work can be divided to more specialized

roles that need frequent coordination with each other. Furthermore, according to

McShane and Von Glinow (2010), the challenge is to find tasks that are both structured

and complex. Research shows that more creative teams became engaged through tasks

that required high levels of creativity, jobs with high task independence, high shared

goals, valued participative problem solving and a climate that support creativity. Further,

more creative team members spend more time socializing with each other (Gilson and

Shalley, 2004).

Highly engaged teams are those that identify the high level of task interdependency

required and interact frequently in positive and adaptive ways (Richardson and West,

2010). However, according to McShane and Von Glinow (2010) a high level of task

interdependence applies only when team members have the same task goals. This is

because when team members have different goals but must depend on other team

members to achieve these goals, the teamwork has a higher chance to create conflict

(McShane and Von Glinow, 2010) and consequently most likely hinder engagement. In

these situations perhaps working independently is a better solution than working in teams.

In order to support team engagement it is also important that the task is completely

defined (Hackman and Oldham, 1980). Further, it is necessary that the team have the

right composition, skills and resources necessary to achieve the task. Aspects to consider

include personalities, expert knowledge and social skills as well as material,

administrative and technological requirements (Richardson and West, 2010).

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Shared Meaningful VisionAccording to Spreitzer, Kizilos and Nason (1997) meaningful work can facilitate both

intrinsic motivation and personal growth. Macey et al. (2009, 99) define meaningful work

as “work that has challenge and variety, allows for autonomy and provides people with

feedback. In addition, work that is aligned with one’s values and seen as contributing to

the company’s success contributes to feelings that one’s work is meaningful”. Richardson

and West (2010) argue that meaningfulness can be expressed in a clear and meaningful

team vision that helps team members to recognize the importance and value of their own

contribution. By collectively recognizing the meaning behind (or “of” or “underlying”)

their work; teams are more likely to experience feelings of dedication, vigour and

absorption. According to West (2004) a shared meaningful team vision should be based

on team objectives. Team objectives are essential for engagement since they motivate the

team to agree upon priorities and underline the required outcome (Campion, Medsker and

Higgs, 1993).

Team Potency Guzzo et al. (1993) characterize team potency as the team’s shared belief that the

teamwork can be effective. According to Richardson and West (2010) team potency is

central for team engagement because a high level of team potency will influence on team

engagement by reinforcing the team’s overall vigour, dedication and absorption.

Team potency can also relate to the crossover effect. According to Bakker, Westman, and

Van Emmerik (2009) crossover is the transfer of positive or negative experiences from

teams to individual team members. Bakker, van Emmerik and Euwema (2006) studied

2229 employees from 85 teams about crossover of work engagement. Their research

revealed that that engage employees that showed optimism, positive attitudes, and

proactive behaviours towards their colleagues, formed a positive team climate,

independent of the demands and resources they possessed. A study of 60 teams found that

positive emotions take part in how effective the teams operate (Losada, 1999). The

research of Barsade (2002) showed that the positive mood of a person influenced the

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mood of the other team members. The positive mood resulted in more cooperative

behaviour and better task performance. Damen (2007) also found that those who

experienced engaged managers were more effective and produced more. A reason for this

is that an engage manager transmits willingness for action. The effect however only

worked when the followers’ emotions were similarly positive.

According to Losada and Heaphy (2004) research on results from 60 teams’ show that

high functioning teams were more positive than low functioning teams. The positivity of

high functioning teams created increased room for involvements of feelings, which

opened up for new opportunities. On the other hand, the negativity of low functioning

teams prevented engagement, which again limited alternatives for action. This result is

also supported by Fredrickson (1998) who found that positive feelings generated ideas

and therefore contributed to achieve team potential and resources.

Team IdentificationSocial identity theory proposes that individuals define themselves by the group to which

they belong (McShane and Glinow, 2010). Norms are the important factor to create a

common social identity (Sjøvold, 2006). Studies of scout groups to city gangs show how

the group quickly develops strong norms and complex forms of communication, dress

codes, gestures, slang for secure identity in their own groups and a distance to other

groups (Conquergood, 1994). Additionally to the social identity, the norms will give the

team members individual identity. We get both recognition and confirmation that we are

valued individuals through others’ sanctions. This can be a small verbal or non-verbal

sign of acceptance. Nothing is more valued for a human being than to feel acceptance and

respect from the group you identify yourself with. Without this identification from others

we will not be able to utilize our fully potentials as humans (Sjøvold, 2006). Maybe the

most important motivation is to accept the team norms (Putallaz and Gottman, 1981). If

team norms encourage to high-level engagement, there is expectancy that the team shows

greater efforts (Haslam and Ellemers, 2005). Team identification therefore creates a

degree of interdependence or cohesion. Further, when measured as a mood state, group

cohesion has been shown to predict vigour (Terry et al., 2000).

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Team Empowerment Team empowerment consists both of a structural and a psychological component

according to Mathieu, Gilson and Ruddy (2006). Mathieu, Gilson and Ruddy (2006, 98)

define team psychological empowerment as “collective belief that they have the authority

to control their proximal work environment and are responsible for their team’s

functioning”. Arnold et al. (2000) describe structural empowerment as the actual practice

of assigning responsibility, exercising control and delegating authority. In other words

one can say that team empowerment is that the team have authority to determine own

decisions. The idea is that the team members that are in best position to know the what,

how and when of the task should have the power and responsibility to do it (DeChurch

and Mathieu, 2009).

Richardson and West (2010) say that both structural and psychological empowerments

are important factors to encourage team engagement. Kirkman and Rosen (1999, 58) state

that empowered teams are characterized as having “increased task motivation resulting

from an individual’s positive orientation toward his or her work role”. This is also

supported by Spreizer (1995) who state that empowered teams determine their own

decisions and this may reinforce their internal motivation. Further Kirkman and Rosen

(1999) states that empowered teams are characterized of task autonomy, self-efficacy,

added value and impact. According to Marker (2006) in order to transform a self-

managed team into empowered teams includes more task control toward aligning the

team’s values, beliefs and norms to the overall organization. According to Dainty,

Bryman and Prince (2002) in order for the team to be empowered, the organization and

leaders need to emphasize trust and commitment. Empowered teams can lead to improved

key job attitudes and increased team processes and effectiveness (DeChurch and Mathieu,

2009).

Team Psychological Safety According to Kahn (1990, 708) psychological safety is “feeling able to show and employ

one’s self without fear of negative consequences to self-image, status of career”. If there

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are no negative consequences people feel safe and are therefore more likely to be engaged

(Kahn, 1990). Further according to Edmondson (1999) psychological safety tend to be

shared among team members. According to Edmondson and Roloff (2009) team

psychological safety is important for engagement as it supports an environment in which

the team members feel confident to be themselves and can speak openly without being

rejected, punished or embarrassed by their team. Team goals are also important for

psychological safety as they take the attention away from the individual to the team.

3.2.2 Mediator: The State of Team Engagement

Interaction FrequencyEngaged teams have a high level of vigour that creates a need for interaction and

consequently will try to communicate as much as possible. Frequent interaction can

create close relationship where team members share information. These interactions can

take form for example in meetings, but engaged team members will also communicate

regularly informally for example by having lunch together or by having contact after

work (Richardson and West, 2010). According to Bakker and Xanthopoulou (2009) high

interaction among team members has been shown to be vital for the crossover of work

engagement.

Information Sharing According to Richardson and West (2010) the difference between an engaged and

unengaged team is the team members’ willingness to share their knowledge and skills

with other team members. Team members in unengaged teams are often more

competitive and will therefore keep certain information for themselves for their own gain,

but to the teams’ loss. In contrast engaged team members will exchange all important

information frequently because they see the teams’ goals to be as important as their own.

Engaged teams will have an open flow of communication that makes sure that the

information can be effectively exchanged, and this makes the team more collaborative

and coordinated (Richardson and West, 2010). Further according to Padua (2012)

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information sharing and open communication can empower employees to create an

environment that is open to changes.

Influencing Decision MakingBy their vigour, dedication and absorption, engaged team members extend and influence

their decision-making. Engaged teams will focus on tasks rather than on cohesion in order

to avoid wrong decisions and by this they maintain agreement and solidity within the

team. This allows the team members to feel free to openly disagree, question and search

each other’s perspectives and create new alternatives. As a result, the decisions will be

more accurate, have better quality and be mutually beneficial (Richardson and West,

2010). Further according to Axelrod (2010) team members influencing in decision

making will also result in fairness and trust. As already stated in Section 2, fairness leads

to trust and trust in turn creates improved probability that employees will take risks by

being engaged according to Schneider et al (2010). Because of the team members’ high

levels of vigour and absorption, this is of course more time consuming (Richardson and

West, 2010).

Reflexivity According to West, Garrod and Carletta (1997, 296) team reflexivity is defined as “the

extent to which group members overly reflect upon, and communicate about the group’s

objectives, strategies (e.g. decision making) and processes (e.g. communication), and

adapt them to current anticipated circumstances”. According to Richardson and West

(2010) reflexive teams with high levels of vigour and absorption will use time to discover

their different perspectives and mutually exchange their ideas to come up with new

solutions. A high level of dedication ensures the team that they do considerately planning

and think of long- and short-term consequences of their actions. This means that they can

adjust their strategies and goals if necessary (Richardson and West, 2010). Further

according to West (2004) teams that take time to reflect on their objectives, strategies and

processes are more effective than those that do not. However according to West (1996)

reflexivity can be unnecessary in routine decision-making teams working in certain and

predictable environments. However West (1996) states that reflexivity is an important

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aspect for teams making complex decisions under uncertain and unpredictable conditions

in order to achieve their goals.

Backing-up BehaviourAccording to Dickinson and McIntyre (1997) backing-up behaviour is the extent to which

team members effectively help each other to perform their role. Engaged employees are

more likely to show such behaviour than other employees. This can, for example, be

shown by compensating for an absent team member or helping the team with extra

workload for the team’s performance. In engaged teams, employees encourage each other

to ask for help when needed, emphasizing solution-focused activities and talk openly

about errors, incidents and problems (Richardson and West, 2010). According to Porter et

al. (2003) empirically based evidence shows that backing-up behaviour is linked with

effective team performance.

3.2.3 Outcomes: The Benefits of Team EngagementThe engagement process transforms the inputs into advantageous outputs for the

organization. The outputs are the outcomes of team engagement. According to Wageman

et al. (2005) team effectiveness has the following four dimensions; all are outcomes of

team engagement.

Team performance As stated in Section 2, a lot of researches link work engagement with performance.

Richardson and West (2010) argue that the same phenomenon is the case between team

engagement and team performance. Studies argue that individual experiences in teams

have a deep impact on commitment and performance in present and future teamwork

(Lester, Meglino and Korsgaard, 2002). Engaged teams will be more motivated to strive

towards challenging meaningful goals, putting all their effort into their work. This passion

and energy is manifested in adaptive team behaviours, which enable the team to perform

well at their job (Beal et al. 2005).

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Team viability Team viability is the “team’s capability to continue functioning together effectively in the

future” (Richardson and West, 2010, 334). Teams without long-term viability will

experience an unwillingness to cooperate, and will eventually reach burnout because of

unsolved conflicts (Hackman, 1987). Engaged teams are expected to have high levels of

long-term viability because of their positive social interactions, which encourage trust and

cooperation (Forsyth, 1990).

Team member growthAccording to West (2004) the team member growth is a key social dimension of team

working and is vital for individual need fulfilment. This is because those that have less

challenging jobs are usually less happy with their jobs than those that have jobs that are

more challenging and that provide opportunities for learning and development (Hackman

and Oldham, 1976). The learning orientation and adaptive behaviours in engaged teams

permit personal growth and development both for individuals inside the team as well as

for the whole team (Heaphy and Dutton, 2008).

InnovationInnovation is according to West and Hirst (2005, 257) “the introduction of new and

improved ways of doing things”. Engaged teams are enthusiastic with high energy and is

therefore more likely to not give up at challenging tasks and problems and are therefore

more likely to be more creative and come up with better ideas (Richardson and West,

2010).

3.2.4 Macro-Level Moderators of Team EngagementOrganizations are social systems that provide an environment for teams (Richardson and

West, 2010). A team is an open system that needs to interact with individuals and groups

outside the team in order to succeed (Langan-Fox, 2005). Accordingly in the Team

Engagement Model, the three macro-level factors represent moderators on the

relationships between inputs, engagement processes and outputs.

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Organizational Climate for Team-Based WorkingAccording to Rousseau (1988) the team climate is what it feels like to work in a given

team and is based on employees’ perception of the team environment. Team-based

organizations need a commitment within the organization and a belief that organizational

goals will be achieved by teams working cooperatively together which require an

organization climate that support team-based working (Woods and West 2010;

Richardson and West 2010).

One way an organization can support teamwork is by rewarding team performance rather

than individual performance (Tjosvold, 1998). Schneider (1990) states that climate

perceptions are likely to be influenced by behaviours that are rewarded and supported. It

is important teamwork motivation to reward collectively to all team members in a way

that everyone benefits from (Larsen, 1998). Pitts (1995) argue that both teams and

individuals must be recognized and rewarded. A balanced approach is required –

individual contributions and achievements should always be valued and even in some

situations, more than others. Armstrong (1993) argues that a company should avoid

rewarding individual performance in such a way that internal competitiveness disturbs

teamwork. On the other hand, individual behaviour that can be hidden in the team should

be avoided. Though, most individuals will be able to commit to the team and share the

recognition that the team receive and identify their part of their reward on the basis on the

team’s achievements. The individual part of the reward should further endorse those

behaviours that contribute to the team outcome (Pitts, 1995).

Further, organizations must encourage the development of shared objectives by involving

all teams and give the teams an opportunity to have a say in important decisions

(Richardson and West, 2010). The organization’s communication system can also

influence the team effectiveness. Besides, the physical space of the team’s workplace can

make a different for the teams’ effectiveness (McShane and Glinow, 2010). When an

organization supports such a climate, the teams are likely to be more engaged and

effective (Richardson and West, 2010).

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Alignment of Organization and Team Values and ObjectivesAlignment gets all the organization and team resources working in collaboration and

move in the same direction (Marker, 2006). Team engagement increases in organizations

that provide a close alignment between organizational and team values and objectives

(Richardson and West, 2010). According to Marker (2006) the alignment needs to be

maintained from the inside to be more successful. This means that the team members are

given control collectively. The energy and focus of the team will increase if the team’s

tasks are seen to be equally important both to the success of the team and the

organization. This alignment will probably encourage engagement and in turn, team

effectiveness and performance (Richardson and West, 2010).

Transformational Leadership According to McShane and Glinow (2010, 371) transformational leadership is about

“’leading‘ - changing the organization’s strategies and culture so they have a better fit

with the surrounding environment. Transformational leaders are change agents who

energize and direct employees to new sets of corporate values and behaviours”.

According to Callan and Lawrence (2009) transformational leadership is an intrinsically

based motivation process that creates an emotional and intellectual connection with their

employees that motivates the employees to engage in high effort levels. In other words,

transformational leadership implies that the leader makes you highly engaged in your job

so that you work harder.

These new set of corporate values and behaviours can energize teams, influencing them

with self-efficacy and stimulating them to think creatively (Brief and Weiss, 2002).

Callan and Lawrence (2009) also support that transformational leadership results in

engagement given that these are behaviours that many employees are aspiring to achieve.

According to Callan and Lawrence (2009) the more transformational leadership there is in

an organization, the more you perceive it at lower levels as in teams. However Kraut et al

(2005) argue that first-line managers or supervisors are more centrally important than

other managers for managing individual performance. First-line managers can influence

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the design of jobs, roles, levels of autonomy, systems and workplace structures that

encourage willingness for employees to engage emotionally and cognitively at work

(Callan and Lawrence, 2009). The behaviours of first level managers are vital to the

engagement behaviours for employees (Bates, 2004). They can engage in

transformational leadership behaviours that communicate and encourage the

meaningfulness of work, that build climates that are perceived to be safe and supportive

and they can model behaviours being positive, exited and fully engaged by achieving

roles that meet organization goals (Harter, Schmidt and Hayes, 2002).

According to Frank, Finnegan and Taylor (2004) first-line managers need to provide a

variety of skills that promote work engagement. Therefore according to Taylor (2004)

they should be able to:

1. Find talent or, when given the opportunity, choose team members who are

likely to stay on the job and be engaged

2. Build trust between team members and the leader

3. Build esteem in team members

4. Communicate effectively to team members regarding retention and

engagement issues

5. Build climate that is enjoyable and fulfilling

6. Be flexible in recognizing, understanding and adapting to individual needs

and views

7. Develop talent and coach team members to help them grow, resulting in

greater commitment and loyalty to the organization

8. Build high performance to reinforce high levels of team member

performance, particularly with respect to top-performing team members

9. Leverage of the team-members knowledge in order to build a committed

team

10. Monitor team members issues in order to build retention and engagement

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3.3 Team Engagement Model Challenges

As stated earlier, Richardson and West (2010) base their definition of team engagement

on Schaufeli’s et al (2002, 74) definition of work engagement (‘‘a positive, fulfilling,

work- related state of mind that is characterized by vigour, dedication and absorption”).

Leiter (2006) argues that there is a risk to mix up this definition with other similar

constructs like organizational and personal commitment and job involvement. One

challenge is to differentiate and distinguish this definition of engagement from other

similar constructs. Leither (2006) further argues that the definition requires researcher to

test and contrast the implications of the definition.

Another challenge with the Team Engagement Model is that all the elements in it don’t

necessarily fit to all occupations and industries. As discussed in Sectiom 2, different

organizations will vary in their needs and approach to engagement (MacLeod and Clarke,

2011). However it can be useful as a framework.

3.4 Team Complexity and Research

Research on teamwork typically views teams as complex, adaptive and dynamic systems

(McGrath, Arrow and Berdahl, 2000). Teams continue to develop as they interact with

others. These interactions constantly change the teams, team members and the teams’

environments in a way that is more complex than is captured from simple cause and

effect perspectives. Empirically based research is also moving in the direction of

increased complexity; however it still has a long way to go from the development of

complexity in the theoretical and methodological work today (Ilgen et al, 2005).

3.5 Heighten Motivation Teams

As already stated in the definition of team engagement, heighten motivation is an

essential part of team engagement. The teamwork has to be meaningful and rewarding for

the individuals. In the long run it is not enough that the teamwork is effective for the

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majority, overall or for the organization. Each team member has to obtain something out

of it for his or her own benefit. Of course this also has to do with how team members

succeed in their work with others in different circumstances. Teamwork should be in

compliance with the job and what can motivate each individual (Larsen, 1998).

A team leader’s responsibility is to select the right people for special tasks, finding people

who are motivated by this special task, and identify with individual work interest and

motivation. According to Larsen (1998) nothing is more motivating than when you feel

successful, especially with things you value and care for. The self-efficacy increases for

both the individuals and the team a whole (Larsen, 1998). The best motivation according

to Larsen (1998) is when the work in itself is interesting. This can you for example see in

people that are so absorbed in their work that they forget the time. The Ultrech Work

engagement Scale (UWES) has “absorption” as a core aspect of their definition of work

engagement. According to Pink (2009) the most motivating factor for people is that they

are doing something because they love it.

In conclusion, based on this literature review, a heightened motivational state is a core

concept of this author and others definition of team engagement.

3.6 Summary

Richardson and West’s (2010, 324) definition of team engagement is “an emergent

collective construct whereby a team experiences a heightened positive affective-

motivational state characterized by a sense of vigour, absorption and dedication”. This

definition is based on Schafeli’s et al. (2002, 74) definition of work engagement on an

individual level (see Section 2). The definition used in this paper is “a team’s experiences

of heightened positive motivational and energized state towards team orientated goals”.

This definition is based on Richardson and West’s (2010) definition of team engagement,

organizational needs and previous research about engagement.

Richardson and West (2010) Team Engagement Model are shown in Figure 5 on page 26.

The model is based on an input-mediator-outcome (IMO) framework (Ilgen et al., 2005).

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The development line underneath the model demonstrates how teams change over time

and are influenced differentially by micro- and macro-level factors as they develop

(Kozlowski et al., 1999). Unfortunately the model is not without limitations. The

definition that is used as a framework for the model should be tested out for further

research. The elements in the model don’t necessarily fit to all occupations and industries.

Heighten motivation is a part of the definitions of team engagement used in this paper.

The organization should think of what can motivate each individual – it is not enough that

the majority on the team members are engaged. One way the team leader can motivate the

team is to select the right people that are interested and get motivated from a specific task

Larsen (1998). Though, the most motivating factor for teams is that they are doing

something because they love it (Pink, 2009).

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Section 4: Method and Data Analysis: The Quantitative Part

The purpose of Sections 4 and 5 is to explain the methods that were used to conduct the

thesis and to analyse data from the Team Engagement Survey and the focus groups. A

case study research design was used both for quantitative and qualitative data. Section 4

is about the quantitative part and includes methods and data analyses used for the Team

Engagement Survey. Section 5 is about the qualitative part and includes method and

analysis used for the appreciative inquiry questions in the survey and followed-up focus

groups.

4.1 Research Design

According to Tharenou, Donohue and Cooper (2007, 74), a case study is “an in-depth,

empirical investigation of a single instance or setting to explain the processes of a

phenomenon in context”. Hafslund, as the only company, was selected for this thesis, and

a case study research design is appropriate.

A wide range of data collection methods can be used for case studies (Tharenou,

Donohue and Cooper, 2007). Combinations of both qualitative and quantitative methods

were chosen in this study. According to Lookwood (2007), it is best to use a combination

of tools in order to measure and manage drivers of work engagement. An essential

argument for combining methods is that both approaches will help to answer the research

question from different angles and insure more depth of understanding. A combination of

the methods will also provide a wider perspective for conclusions and strengthens the

overall research. A Team Engagement Survey was used to identify the employees’ key

drivers of engagement, the importance of the drivers and the current state of engagement.

Appreciative inquiry questions were used to identify what the employees think works

well and what can be improved. Analyses of Variance were conducted to identify whether

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there is a large variance of key drivers across the teams. Stepwise Linear Regression was

used to identify how much the variation in the dependent variable “Level of Engagement”

(how engaged are you on a scale from 1-10?) can be explained by the independent

variables of “Drivers of Engagement” and of “State of Engagement”.

Follow-up focus groups were used, with selected team members, to explore the results

from the engagement survey in depth. The focus groups can indicate the cause of what

might create the results. In addition, three in-depth interviews with the managing director

Mr Frode Sand were conducted during the spring of 2013, as a first step to create a

suitable survey questionnaire and to get more information about the Customer Services

Centre. The quantitative research was set up with a pre-test of the survey (details

provided in this section), and the final survey was followed by three focus groups during

June 2013.

The quantitative results from the Team Engagement Survey will be reported in this

section while the qualitative results including the appreciative inquiry questions from the

survey and follow-up focus groups will be presented in next section.

4.2 The Team Engagement Survey

The Team Engagement Survey is presented in Appendix 1. The survey was distributed

electronically to 97 full-time employees at Hafslund Customer Services Centre. Fifty-

three full-time employees answered the survey. This represents a response rate of

approximately 55 per cent. Data were obtained by the use of a web-based tool (Qualtrics).

4.2.1 Overall Description of Hafslund Customer Services Centre Full-time Employees Sixty-six per cent of the population studied were women and 64 per cent work as

Customer Services Consultants, 17 per cent work with quality tasks, 11 per cent as Sales

Consultants and 8 per cent as Senior Customer Consultants. The population studied was

only the full-time employees and did not include sub-contract employees who might be

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working side by side with Hafslund staff. The following teams shown in Table 5 below

were included in the survey. The organization chart at Hafslund Customer Services

Centre is shown in Figure 6.

Table 5: Overview of department, team, position and number of respondents per team studied

Figure 6: Organizational Chart Hafslund Customer Services Centre

43

Department Team Positions No of respondents

per team

Front Other Sales consultants, Customer services

consultants and Senior customer

services consultants

9

Front Melling Customer services consultants and

Senior customer services consultants 9

Front Kaloshi Customer services consultants and

Senior customer services consultants 8

Front Berisha Customer services consultants and

Senior customer services consultants 8

Front Roskifte Customer services consultants and

Senior customer services consultants 8

Back Quality Quality specialists 8

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4.2.2 Finalized Variables for the Team Engagement Survey The main variables for the key drivers and state of engagement were identified based on

the literature review, three depth interviews with Hafslund Customer Services Centre

department leader Mr Sand, discussions with thesis advisor Dr Paul Tolchinsky and

Hafslund’s values, strategy, goal-setting and critical success factors as presented in

Section 1. Mr Sand considered cultural differences to be of less importance in this study

(Section 1.2). Otherwise the key drivers were chosen to fit the Norwegian culture. The

finalized variables are shown in Table 6 below.

Table 6: Finalized Variables for the Team Engagement Survey

Key Drivers of Team engagement State of EngagementClear Goals Behavioural Engagement:Development opportunities Backing-up behaviourCrossover effects Interaction frequencyTeam Identification Feeling of Engagement:Team Empowerment VigourTransformational Leadership DedicationTeam tasks AbsorptionOrganization Climate for team-based workingVoice

From the literature review, one can note that many of the variables are connected, and at

times are almost identical, just with different names. For example, the variable “Voice”

means the same as the variable “Influencing Decision Making”. These connections are

shown in Appendix 2.

To measure complex phenomena such as behaviours and attitudes, it is important to use

several questions to intercept different aspects within the dimension (Gripsrud, Olsson

and Silkoset, 2010). Consequently, three to nine different questions on each dimension

have been used in the Team Engagement Survey (Appendix 1).

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4.3 Data Collection

The data from the survey were gathered electronically. The survey stated the purpose of

the research, the definition of team engagement, and contact information for the

researcher, should the participant have questions regarding the survey. Further the drivers

of engagement and the state of engagement were explained. This was meant both as

motivation and also an explanation for further better understanding of the survey

questions. The participants were informed that their answers would be handled

confidentially. The survey was given out in a Norwegian version since Hafslund is based

in Norway. The English version of the survey is included in Appendix 1.

4.4 Measures

As there are currently various validated instruments to measure work engagement at an

individual level (where the most well known is probably the Ultrecht Work Scale

(UWES)), there are at present no validated known team engagement instruments. In the

literature review it was also discovered that although there is quite a lot of research on

engagement at the individual level, there is almost nothing on a team level. Although, as

argued in Section 1, most of the research at the individual level can be applied on a team

level, an instrument to measure team engagement requires a focus on engagement to work

in a team. This is reflected in the Team Engagement Model (see Section 3, Figure 6). In

order to measure the level of team engagement at Hafslund, a new instrument had to be

developed.

As already stated in Section 2, a common definition of engagement is very important in

order to measure engagement for an organization. The measurement should be tied

directly to the definition (Dicke, Holweda and Knotakos, 2007). For purposes of this

research, the definition of team engagement was the following: “a team’s experiences of

heightened positive motivational and energized state towards team orientated goals”.

Albrecht (2010) states that it would be very useful to have questions that have a clear link

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to the definition of engagement. The questions in the Team Engagement Survey are

therefore linked to the definition of team engagement.

The survey includes drivers of team engagement and state of engagement (see Table 6, p.

44). According to Wiley (2006) to achieve engagement requires survey content to be

tailored to the company’s goals. However, according to Dicke, Holweda and Knotakos

(2007) it’s important not to mix drivers and outcomes because it would be difficult to

determine what to change as discussed in Section 2. Outcomes are therefore left out from

the survey.

Macey et al. (2009) state that feelings of engagement and behaviours in addition to

engagement drivers should be included in the survey to determine whether engagement

can and will emerge. These two aspects are included in the survey as state of engagement.

Some questions in the survey are asked about the behaviour of others since the average or

collective results yield a more reliable indicator. Participants have a tendency to respond

as they think others would expect or sometimes even due to self-preservation (Macey et

al., 2009).

Key drivers of team engagement were measured on a 5-point Likert scale ranging from 1

(strongly disagree) to 5 (strongly agree) and 6 (don’t know) where the respondents had to

consider a number of statements. Examples of items include “I have a good

understanding of the goals of my team” (Clear Goals), “On my team, we can take action

to satisfy customers without being second-guessed by our team leader” (Team

Empowerment) and “My team leader builds a climate that is enjoyable”

(Transformational Leadership).

The importance of each variable for drivers of team engagement was measured on a scale

ranging from 1 (Not at all important) to 5 (Very important) and 6 (don’t know) where the

respondents had to consider how important each variable was for drivers of team

engagement. This was measured at the end of each driver of team engagement.

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“Backing up-behaviour” and “Interaction frequency” were measured on the behaviours

of state of engagement (see Table 6) and were measured on the same 5-point Likert-scale

as the key drivers of team engagement. Examples of items included “My teammates

welcome each other’s success” (Backing up-behaviour) and “In my team, we

communicate often about work related questions” (Interaction frequency). The validated

15-item version of Ultrecht Work Engagement Scale (UWES) was used to measure the

employee’s feelings of state of engagement (see Table 6). The UWES are based on the

Schaufeli et al (2002) definition described in Section 2 where the variables “Vigour”,

“Dedication” and “Absorption” are used. Examples included “At my job, I feel bursting

with energy” (Vigour), “Time flies when I’m working” (Dedication), and “When I’m

working I forget everything else around me (Absorption). A 7-point Likert scale was used

where the respondents had to consider a number of statements about how often they felt a

certain way about their job.

At the end of the survey, three appreciative inquiry questions were included regarding

how engaged the employees felt from a scale from 1 -10, why they didn’t mark a lower

score and what was needed to change to move 1-2 points higher. These questions were

used to answer the sub-research questions about the employees’ current level of

engagement, what worked well and what the organization could do to increase

engagement in teams.

The questionnaire includes 70 questions. According to Custom Insight (2013), a

comprehensive engagement questionnaire usually includes about 50-75 rating questions,

as well as a few short open questions.

4.4.1 Background variables Due to possible influence on gender, age, numbers of years within the company, time in

current position, education and team membership, these were included as background

variables.

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4.5 Data Analysis

The data was first screened for missing values. Missing values were identified and coded

with 9999 in SPSS. The “don’t know” category was also coded with 9999 in order to

estimate the correct calculations in SPSS.

In order to identify any outliers, a comparison of the mean with the 5% trimmed mean

and the median was conducted. “Trimmed” signifies that five per cent of the cases are

removed off the top and bottom, and a new mean value is calculated to obtain the

“trimmed mean” value. The trimmed mean, median and the mean showed similar values,

which means that there were no extreme scores that had a lot of influence on the mean.

4.6 Descriptive Statistics

Table 7 below expresses the distribution of the background variables used in the survey.

There was an equal distribution of women and men. Young people dominated the sample,

as 82 per cent were under 35 years old. Ninety-four per cent of the respondents reported

that they had either completed high school and/or university. The team representation was

almost equally distributed. The sample was dominated by Customer Services Consultants

who had worked in their position between half a year and three years.

Table 7: Background Variables

Descriptive Statistics of the Sample Total numbers of respondents 53

Gender Women Men Total57 % 43 % 100 %

Age Under 25 26 - 35 36 - 45 46 -55 Over 56 Total35 % 47 % 10 % 8 % 0 % 100 %

Education Compulsory Schooling High School University Other Total2 % 43 % 51 % 4 % 100 %

Team Team Berisha Team Melling Team Kaloshi Team Roskifte Quality Other Total16 % 18 % 16 % 16 % 16 % 18 % 100 %

Position Customer Services Consultants Senior Customer Services ConsultantsVocational Subject Specialists Sales Consultants Caseworkers Total59 % 10 % 14 % 14 % 4 % 100 %

No of years in current position Less than half a year Between half a year and 3 years More than 3 years Total16 % 67 % 16 % 100 %

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4.6.1 Drivers of Team Engagement Mean and Variance Table 8 below illustrates the mean, standard deviation and coefficient of variance of the

drivers of team engagement. The results are quite high and consistent, although “Team

Identification”, “Crossover Effect”, “Transformational Leadership” and “Clear Goals”

have the highest mean. “Organizational Climate for team-based working” together with

“Team Empowerment” and “Development Opportunities” have the lowest mean.

Table 8: Drivers of Team Engagement mean, standard deviation and coefficient of variance

Driver Mean Standard

deviation

Coefficient

of Variance

Team Identification 4.381 0.753 17.188 %

Crossover Effect 4.375 0.563 12.869 %

Transformational Leadership 4.356 0.912 21.429 %

Clear Goals 4.305 0.996 23.136 %

Team Task 4.093 0.915 22.356 %

Voice 3.906 0.966 24.731 %

Development Opportunities 3.814 1.102 28.886 %

Team Empowerment 3.797 0.881 22.141 %

Organizational Climate for

team-based working

3.621 0.814 22.480 %

The standard deviation and coefficient of variance show that the driver “Crossover

Effect” with one of the highest means is also the one that most participants strongly

agreed with. On the other hand the participants disagreed most on the variable

“Development Opportunities”.

4.6.2 The Importance of Team Engagement Table 9 below shows the importance of the mean, standard deviation and coefficient of

variance for drivers of team engagement. The means are quite high and consistent.

“Development Opportunities”, “Voice”, “Transformational Leadership”, “Crossover

Effect” and “Clear Goals” were identified as the top five. The standard deviation and the

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coefficient of variance show that there seemed to be greater consensus on the drivers

“Development Opportunities” and “Voice” which were also identified as the two most

important drivers. Further, there seemed to be more disagreement for the drivers

“Crossover Effect” and “Team Empowerment”. “Clear Goals” and “Team

Identification”.

Table 9: Importance of Team Engagement mean, standard deviation and coefficient of variance

Level of

Importance

Mean Standard

Deviation

Coefficient

of variance

Development

Opportunities

4.73 0.491 10.381

Voice 4.65 0.480 10.326

Transformational

Leadership

4.64 0.525 11.290

Crossover Effect 4.55 0.667 14.660

Clear Goals 4.55 0.748 16.440

Team

Empowerment

4.43 0.645 14.560

Team Task 4.42 0.539 12.195

Organizational

Climate for team-

based working

4.27 0.605 14.169

Team

Identification

4.27 0.750 17.564

4.6.3 The Gap between Drivers of Engagement and the Importance of these Drivers

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Figure 7: Gap between Drives of Engagement and the Importance of these drivers (Mean)

Figure 8: The mean difference in the gap between Drivers of Engagement and the Importance of these drivers

Figure 7 above shows the gap between drivers of engagement and how important these

drivers are for the employees. Figure 8 above shows the mean difference between the

drivers and the importance of the drivers. Both of these figures are shown in rank order,

from the biggest gap to the smallest gap. Clearly “Development Opportunities”, “Voice”,

“Organizational climate for team-based working” and “Team Empowerment” have the

biggest mean difference between reality and desire. While the remaining drivers have

smaller gaps, which means that these drivers probably meet the team expectations.

4.6.4 State of Engagement Mean and Variance Table 10 below shows the mean, standard deviation and coefficient of variance for

behavioural engagement. The means are quite high and consistent, although “Backing-up

behaviour” has the highest mean. The standard deviation and coefficient of variance

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show that most of the participants were more in agreement on “Backing-up behaviour”

than on “Interaction frequency”.

Table 10: Behavioural Engagement means, standard deviation and coefficient of variance

Behavioural

Engagement

Mean Standard

Deviation

Coefficient

of variance

Backing-up

behaviour

4.591 0.575 12.525

Interaction

frequency

3.972 0.868 14.476

Table 11 below shows the mean, standard deviation and coefficient of variance for the

three variables measuring feelings of engagement. “Vigour” scores the highest, although

all of the variables are relatively equal and have an average around five (the employees

have this feeling in their job once a week). The results show that most of the employees in

the sample feel engaged quite often (from every day to once a week). The standard

deviation and coefficient of variance shows that there is most agreement on the variables

“Vigour” and “Dedication”.

Table 11: Feelings of Engagement mean, standard deviation and coefficient of variance

4.7 Pre-test

A pre-test of the survey was conducted with seven of the part-time employees at Hafslund

Customer Services Centre. The pre-test was used to yield a more precise measurement of

the variables (Fowler, 2009). Looking at the results and feedback from one of the

participants revealed that the words and phrases were clear and understandable. However

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Feelings of

Engagement

Mean Standard

Deviation

Coefficient

of variance

Vigour 5.220 1.286 24.636

Dedication 5.140 1.291 25.117

Absorption 4.756 1.456 30.614

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some of the employees didn’t answer some demographics such as age in fear of being

identified, despite the information that the survey was confidential. Therefore the

question about age was changed from ratio level to interval level. Cronbach’s Alpha was

also used in the pre-test as explained below.

4.8 Reliability and Validity

Cronbach’s Alpha was used both in the pre-test and the survey to test out the internal

consistency reliability. Cronbach’s Alpha was chosen since it’s appropriate to use with

questions that have wrong or right answers like the Likert-scale. Cronbach’s Alpha

should have a value above 0.7 but not too close to 1 to have a satisfactory reliability

(Gripsrud, Olsson and Silkoset, 2010). Table 12 below shows the Cronbach’s Alpha on

the compounded variables used in the survey. The values that are not satisfactory are

marked in red.

Table 12: Cronbach’s Alpha

Variable Cronbach’s Alpha Pre-test

Cronbach’s Alpha Final-Test

Clear Goals 0.822 0.786Development Opportunities

0.798 0.833

Crossover Effect 0.355 0.082 (0.386 Q1 + Q2)

Team Identification 0.480 0.863Team Empowerment 0.822 0.851Transformational Leadership

0.632 0.944

Team Task - 0.267 0.822Organizational Climate for team-based working

0.575 0.699

Voice 0.667 0.859Backing-up behaviour 0.567 0.805Interaction frequently 0.650 0.627Vigour 0.743 0.894Dedication 0.914 0.868Absorption 0.879 0.920

In the pre-test, although some of the values are below 0.7, they are relatively close and

were therefore kept as reliable. The questions that didn’t correlate in the pre-test with the

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variables “Crossover Effect”, “Team Identification” and “Team Task” were identified

and replaced with assumedly more correlated questions.

In the final test, most of the compounded variables had a high level of internal

consistency, as determined by strong Cronbach’s Alpha. Only “Crossover Effect” was

not reliable. Although the value of “Interaction Frequency” is below 0.7, it’s relatively

close and is therefore kept as reliable. The three variables that measure the dimension

“Crossover Effect” have not been compounded on the background of the weak

Cronbach’s Alpha.

The pre-test of the survey proved the validity and reliability of the survey instrument

because it helped to ensure an adequate variety of the topic (Creswell, 2009; Fink, 2009).

4.9 Analysis of Variance

4.9.1 Levene’s Test of Homogeneity of Variance The Levene’s test of homogeneity of variance was used to determine whether the

variances between the variables were equal for the dependent variable. If the Levene’s

test is significant, there are no equal variances. However, if the test is not significant,

there are equal variances. The significance (p-value) values should be 0.05 or below to be

statistically significant at the 95 percent level. Table 13 shows which variables had

homogeneity of variance (marked in green) and which ones that were violated (marked in

red).

Table 13: Levene's Test

Homogeneity of variance met

p-value Homogeneity of variance violated

p-value

Crossover Effect Q1 0.132 Crossover Effect Q2

0.000

Clear Goals 0.308 Crossover Effect Q3

0.000

Development Opportunities

0.264 Team Identification

0.000

Team Empowerment 0.318 Transformational Leadership

0.002

Organizational Climate 0.061 Backing-up 0.001

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for team-based working

Behaviour

Voice 0.399Interaction Frequency 0.058Vigour 0.856Dedication 0.605Absorption 0.828Team Task 0.083

4.9.2 One-way ANOVAThe one-way ANOVA test was used to identify significant differences between the means

of the team answers and within the means of the teams. ANOVA can only be used on the

variables where the homogeneity of variance is met. ANOVA found significant

differences for “Development Opportunities”, “Team Empowerment” and “Interaction

Frequency”. However, there were no statistically significant differences between the

means of the teams for the variables of “Crossover Effect Q1 and Q3”, “Clear Goals”,

“Organizational Climate for team-based working”, “Voice”, “Vigour”, “Dedication”,

“Absorption” and “Team Task”. The Welch ANOVA has been used on these variables.

4.9.3 Tukey post-hoc test A Tukey post-hoc test was used on the results from ANOVA that were statistically

significant to identify which of the teams individually differed from each other.

Table 14: “Development Opportunities”

(I) Name of team

(J) Name of team

Mean Differences (I-J)

St. Error

Sig. Lower Bound

Upper Bound

Kaloshi Berisha - 1.560 0.458 0.016 - 2.922 - 0.198Melling - 1.486 0.458 0.025 - 2.848 - 0.124Roskifte - 1.438 0.471 0.041 - 2.839 - 0.036Other - 1.856 0.458 0.003 - 3.219 - 0.494Quality - 0.875 0.471 0.441 - 2.277 - 0.527

Regarding the driver “Development Opportunities”, Table 14 shows that “Team Kaloshi”

scored 1.6 lower than “Team Berisha”, 1.5 lower than “Team Melling”, 1.4 lower than

“Team Roskifte” and 1.9 lower than “Other”. These differences are large enough to be

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statistically significant. However, even when “Team Kaloshi” scored 0.9 lower than

“Team Quality”, this difference is not large enough to be statistically significant.

Conclusion: “Team Kaloshi” scored significantly lower than most of the other teams on

the variable “Development Opportunities”. Figure 9 shown below can also illustrate this.

Figure 9: "Development Opportunities"

Regarding the variable “Team Empowerment”, Table 15 shows that “Team Kaloshi”

scored 1.5 lower than “Team Quality” and 1.6 lower than “Other”. “Team Melling”

scored 1.0 lower than “Other”. This difference is large enough to be statistically

significant.

Table 15: "Team Empowerment"

(I) Name of team

(J) Name of team

Mean Differences (I-J)

St. Error

Sig. Lower Bound

Upper Bound

Kaloshi Quality - 1.463 0.315 0.000 - 2.400 - 0.535Other - 1.593 0.306 0.000 - 2.504 - 0.682

Melling Other - 0.978 0.297 0.022 - 1.861 - 0.094

Conclusion: “Team Kaloshi” scored significantly lower than “Team Quality” and “Other”

on the variable “Team Empowerment”. “Team Melling” scored significantly lower than

“Other”. Figure 10 shown below can also illustrate this.

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Figure 10: "Team Empowerment"

Regarding the state “Interaction Frequency”, Table 16 shows that “Team Melling”

scored 1.4 lower than “Other”. This difference is large enough to be statistically

significant.

Table 16: "Interaction Frequency"

(I) Name of team

(I) Name of team

Mean Differences (I-J)

St. Error

Sig. Lower Bound

Upper Bound

Melling Other- 1.352

0.365 0.007 - 2.439 - 0.265

Conclusion: “Team Melling” scored significantly lower than “Other”. Figure 11 shown

below can also illustrate this.

Figure 11: "Interaction Frequency"

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4.9.4 Welch’s ANOVAFor those variables where the homogeneity of variance was violated, the Welch’s

ANOVA was conducted. There was a statistically significant difference for the driver

“Transformational Leadership”. However, there were no statistically differences for the

variables “Crossover Effect Q1”, “Team Identification” and “Backing-up behaviour”.

4.9.5 Games-Howell post-hoc A Games-Howell post-hoc was performed on the driver “Transformational Leadership”

to determine which team differed statistically significantly. The Games-Howell post-hoc

test is only used if the Welch ANOVA is statistically significant.

Table 17 shows that “Team Kaloshi” scored 1.8 lower than “Team Berisha”, 1.9 lower

than “Team Melling”, 1.7 lower than “Team Roskifte”, 1.8 lower than “Other”. Further,

“Team Quality” scored 1.0 lower than “Team Berisha” and 1.0 lower than “Team

Melling”. These differences were large enough to be statistically significant.

Table 17: "Transformational Leadership"

(I) Name of team

(J) Name of team

Mean Differences (I-J)

St. Error

Sig. Lower Bound

Upper Bound

Kaloshi Berisha - 1.812 0.430 0.020 - 3.347 - 0.276Melling - 1.850 0.431 0.018 - 3.386 - 0.314Roskifte - 1.733 0.424 0.026 - 3.265 - 0.200Other - 1.770 0.444 0.024 - 3.319 - 0.221Quality - 0.821 0.444 0.534 - 2.418 - 0.776

Quality Berisha - 0.991 0.283 0.041 - 1.946 - 0.036Melling - 1.029 0.284 0.033 - 1.986 - 0.072

Conclusion: “Team Kaloshi” scored significantly lower than most of the other teams.

Further, “Team Quality” scored significantly lower than “Team Berisha” and “Team

Melling”. Figure 12 shown below can also illustrate this.

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Figure 12: "Transformational Leadership"

4.10 Stepwise Linear Regression

Stepwise Linear Regression using SPSS was performed to determine how much the

variation in the dependent variable “Level of Engagement” (how engaged are you on a

scale from 1-10?) can be explained by the independent variables of “Drivers of

Engagement” and of “State of Engagement”. Stepwise Linear Regression is a method of

regressing multiple variables while simultaneously removing those that aren’t important.

Stepwise Linea Regression essentially does multiple regressions a number of times, each

time removing the weakest correlated variable. The variables that explain the distribution

best are shown.

The variables “Development Opportunities”, “Vigour”, “Absorption” and “Backing-up

Behaviour” explained the distribution best. The “Model Summary” below shows the

overall correlation between these independent variables and the depended variable “Level

of Engagement”. Nearly 68 per cent of the variation in the dependent variable can be

explained using the independent variables.

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Table 18: Model Summary

The Collinearity Diagnostics are shown in Table 19 below and shows how the variables

vary with each other. When two or more of the independent variables are correlated, the

Condition Index for each will be above one. Values of one are independent; values of

greater than 15 imply there may be a problem, while values above 30 are highly

uncertain. If the variables are correlated, one of the variables should be dropped and the

analysis repeated. The significance (sig.) values should be 0.05 or below to be statistically

significant at the 95 percent level.

Table 19 shows that the values of the independent variables “Absorption” and “Backing-

up behaviour” are both above 15 in the Condition Index, which means that there might be

a problem since they have a too strong correlation. These are therefore excluded from the

analyses. On the other hand, Table 19, shows that the Condition Index values for

“Vigour” and “Development Opportunities” are above one and lower than 15. These are

also statistically significant at the 95 per cent. Hence the independent variables “Vigour”

and “Development Opportunities” can best be explained by the independent variable

“Level of Engagement”.

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Table 19: Collinearity Diagnostics

Model Variable Condition Index Sig.1 Vigour 8.217 0.0002 Vigour 8.287 0.000

Development Opportunities 10.097 0.0053 Vigour 7.730 0.068

Development Opportunities 10.591 0.003Absorption 19.678 0.017

4 Vigour 8.380 0.025Development Opportunities 10.008 0.002Absorption 21.990 0.017Backing-up Behaviour 25.197 0.037

Dependent Variable: Level of Engagement

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Section 5: The Qualitative Part

Section 5 is the qualitative part of the research and includes method and analysis used for

the appreciative inquiry questions in the survey and followed-up focus groups.

5.1 Appreciative Inquiry

Three appreciative inquiry questions were asked at the end of the survey. Appreciative

inquiry means that the participants focus on the positive aspects of their job and to make

suggestions for improvements, instead of whom or what are causes for problems. The

first question asked “On a scale from 1-10 how engaged are you (where 1 is least

engaged and 10 is most)?”, the second question was “Why didn’t you mark a lower

score?” and the third question was, “What needs to change to move 1-2 points higher?”.

The two last questions are qualitative. Thus a qualitative analysis to search for

relationships and underlying themes is used (Strauss and Corbin, 1998). In order to code

the data, Løland’s (1994) “cut” and “paste” technique was employed, where common

themes were merged to categories.

Figure 13 below shows the variance to the first question. Seventy-seven per cent scored

from 6 and above, 10 per cent scored in the middle and 14 per cent scored below 5. The

mean is on 7. These results shows that most employees felt engaged at work.

Figure 13: Variance on the question “On a scale from 1-10 how engaged are you (where 1 is least engaged and 10 is most engaged)?”

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Figure 14 shows how the teams scored the first question. The results are shown in ranked

order. The means show that “Team Melling” felt most engaged and “Team Kaloshi” felt

least engaged. The difference was quite high.

Figure 14: Mean Teams on the question “On a scale from 1-10 how engaged are you (where 1 is least engaged and 10 is most engaged)?”

Two main categories (see table 20 below) were identified for the second question (“Why

didn’t you mark a lower score?”). Examples of responses for the category “Job

Satisfaction” was: “I’m satisfied and happy about my job”, “I enjoy working with my

colleagues that definitely does my day much easier and more motivating” and “I like my

workplace”. Examples of comments for “Work itself” was “I feel my work is exciting and

challenging”, “I get motivated of my job” and “I have a lot of variety in my work - all of

my jobs and customers are different, so that inspires me and does that I get more

engaged”.

Table 20: Why didn’t you mark a lower score?

Why didn’t you mark a lower score? Number of replies

Job Satisfaction 10Work itself 10Total 20

Table 21 below shows the responses for the third question “What needs to change to

move 1-2 points higher?”. Twelve categories were identified. Most of the participants (31

per cent) wished more varied and challenging work, although some said that they did not

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think it is possible to make the work more varied. Five participants wished a more

competent team leader. Examples were: “I wish another type of leadership”, “I wish a

more motivating team leader” and “changes of team-leader had increased my scores to

an 8”. Suggestions for the right person for the right job where “Use the right person for

the right job. When it’s no balance between motivation, competencies and abilities for

solving problems, the solution are never optimum” and “It should be more focus on

individual abilities and competencies and that these are more used – the work of the

individual can be adjusted for this”.

Table 21: What needs to change to move 1-2 points higher?

Improvements No of replies

More varied and challenging work 8More competent team-leader 5More and specific responsibility 3Improved computer system 2The right person for the right job 2More specialisation 1More development opportunities 1Make the employees' work more visible 1Increased internal co-operation 1More competitions 1More follow-up 1Total 26

5.2 Focus Groups

For this purpose the research could have used individual interviews, but this would have

missed the opportunity of natural group dynamics that can stimulate the respondents to

give additional information (Morgan, 1997; Gripsrud, Olsson and Silkoset, 2010).

Follow-up focus groups of selected team members were used to explore the results from

the Team Engagement Survey in more depth and to validate the results in order to

identify the key drivers of engagement. Both the results from the focus groups, the

individual interviews with Mr. Sand and the survey were used to answer the postulated

sub-research questions. Further the focus groups were used to reveal factors such as

possible additionally drivers of team engagement that the survey may not have addressed.

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5.2.1 The Selections of Focus Groups A non-probability sample was used by selection of participants to focus groups. This

means that the recruiting of participants was not based on statistical contingencies.

Therefore the researcher was able to identify persons with the right characteristics in

order to insure that the focus group participants had a good knowledge about team

engagement in Hafslund Customer Services Centre (Gripsrud, Olsson and Silkoset 2010).

A general rule among researchers is that focus groups should consist of strangers.

However this is just a myth according to Morgan (1997) and Krueger (1993). According

to Morgan (1997) decisions should, instead, rely on whether the group can comfortably

discuss in ways that are useful for the researcher. Although the participants in this case

more or less knew each other, there was also participation from different teams in the

focus groups.

Regarding the size of the groups, it’s generally recommended a range between six to ten

(Morgan, 1997). The size of the groups were based on the consideration that everybody

would be interested in the theme of team engagement as this is essential to their work

situation, and everybody should be given time to speak. On this background focus groups

with size of six to seven were chosen.

The rule of thumb in order to decide the numbers of groups is that projects should consist

of three to five groups. Whether to choose three or five groups depends on a number of

factors. Projects with more segments will probably require more groups (Morgan, 1997).

Since the participants in this case are from the same department with similar jobs, they

are quite homogeneous and Gripsrud, Olsson and Silkoset (2010) argues that the more

homogeneous the groups are, the less number of groups will you need to conduct.

Therefore in this case, three groups were chosen. The goal is to do only as many groups

as are necessary to provide a reliable answer so that the mediator can predict the outcome

(Calder, 1977).

To summarize, three focus groups that included from six to seven participants were

conducted. The participants were from different teams and there was a mix of gender,

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age, time in current position, education and team membership. The interviews lasted

around one hour and twenty minutes and the discussions were recorded on tape.

5.2.2 Conducting and Analysing Focus GroupsThere are many possibilities on how to analyse focus groups. There is empirical evidence

that focus groups results should be qualified. On the other hand in some cases a

quantitative analysis can be useful. However a quantitative approach is not necessary in

most situations (Fern, 2001). A qualitative approach such as focus groups are more

complex to analyse than a quantitative approach due to the focus group transcript has

multiple meaning and several different interpretations (Holbrook and Jackson, 1996).

Because of direct evaluation of the focus groups, qualitative analyses of the results were

chosen.

The analyst should be examining all the participants’ comments, looking for the most

important themes, issues and ideas (Litosseliti, 2003). The key questions are the most

important to analyse (Kruger, 1994). Similarities and differences throughout the different

focus groups, trends and patterns should be looked at. However it’s not necessary that the

most important themes and issues are the ones that are most frequently brought up in the

focus group (Litosseliti, 2003). Some questions should not be focused on the same level,

while others should be eliminated, as they disturb the analyses (Kruger, 1994). Further,

the analyst should be flexible about modifying his/her insights, taking different perceptive

and interpretations (Gillham, 2000). The analyst should also be careful to acknowledge

comments at face value. Finally the analyst should address whether the objectives were

achieved, what was confirmed and challenged by the findings, and what new ideas

appeared (Litosseliti, 2003).

5.3 Analysis of Focus Groups at Hafslund Customer Services Centre

The following presents the results of the focus group data.

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5.3.1 Team Engagement Survey Most of the respondents thought the questions in the Team Engagement Survey were

quite good. Although, they thought the survey was a bit too long. Some said they spent

time on answering accurately at first, but when they saw the length of the survey, they

spent shorter time and therefore the questions were not answered as accurately. Some

were afraid of being identified because of the large number of background variables, even

though they had been promised anonymity.

5.3.2 Drivers of Team Engagement The respondents thought the results were quite good and consistent. The participants

thought that this could be because everyone was aiming at reaching the same goals,

making it easier to enjoy their work and because of good development opportunities.

Some participants said that Hafslund is a big organization where there are many

possibilities for developing if you are interested in your job and can show good results.

Other participants thought there was not much room for improvement in engagement

since they already felt engaged and were satisfied with their employers. One reason for

this was because Hafslund is constantly improving and trying to engage their employees.

The most important Drivers of Team Engagement for the participants are shown in ranked

order:

1. Development Opportunities

2. Crossover Effect

3. Voice

4. Clear Goals

5. Transformational Leadership

These results are consistent with the Team Engagement Survey. Comment included “I

think “Development Opportunities” is the most important driver. If I reach my goals, I

will be able to develop myself”. The focus group discussions revealed that “Crossover

Effect” was important since the participants thought they needed people around them who

were positive in order to remain engaged. They also thought that having a “Voice”:

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being seen and heard, was an important driver of team engagement. Most of the

participants said that having “Clear Goals” both for the team and for themselves clearly

helped them to remain more engaged. “Transformational Leadership” was also an

important factor since the team-leader can influence the level of engagement.

“Team Empowerment” was important for some, but not for others. One participant said

that the reason for this could be which position you have. Maybe it’s more important for

Seniors than for Customer Services Consultants? Some participants thought that “Voice”,

“Team Empowerment” and “Transformational Leadership” overlapped each other,

because it is important to have a team leader who allows the team to influence things and

make their own decisions. From the comment above regarding “Development

Opportunities” it can be concluded that this also overlap with “Clear Goals”.

The following suggestions for drivers of team engagement that wasn’t included in the

survey included: financial incentives (for the Sales Team), more challenging work and

competitions.

5.3.3 State of Engagement The high level of engagement reported surprised some participants. Some felt engaged

every day and some hadn’t felt engaged at all during the past year. Some participants

thought the reason for a low level of engagement was that they had not been seen or

appreciated or they were on wrong team or they simply didn’t like their job.

The participants thought the most important reasons for the good scores, were work

satisfaction, good workplace culture, high engagement level, good workplace

environment, and goal setting that makes time fly by. The tasks could also be a good

reason for this, since most of the participants liked their job; although this depended on

what tasks they were working with. A participant said “Some tasks are very interesting,

so that you get so absorbed that you almost can’t go to the rest room, other tasks are

more boring and you can’t wait to finish them”. Regarding the good scores for the

outgoing sales team, a participant said: “most of the customers are friendly and do not get

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angry on the phone and that makes the job much easier. Further the product is easy to

sell which makes it more engaging”.

For the Customer Services Consultants, there were divided opinions about having to sell

on incoming calls. Some liked it and others didn’t understand why they had to sell at all.

The reason why some people didn’t like it, was that it made them feel uncomfortable,

insecure and stressed, having to sell at the same time as trying to give the best possible

customer service. One participant said: “I feel uncomfortable trying to sell something the

customer doesn’t need. It would have been better trying to find out what the customer

really needed and finding a suitable product”. Further the word “sales” makes some

uncomfortable. Some participants said a more comfortable word would be “customer

services”. Some got more engaged by answering inquiries because they got a good

feedback from the customers. However, others preferred administrative tasks like

answering emails.

For the variable “backing-up behaviour”, all of the participants said that this is something

that everyone is generally good at and is a major reason for the good workplace

environment at Hafslund. Regarding “frequency communication” the participants said

that most team leaders have good and frequent communication. However sometimes

some participants thought it could be a bit too much, and therefore might be rather

disturbing and have a negative effect.

5.3.4 Level of EngagementRegarding the question about the employees’ current level of engagement, the

participants thought it depended on how you interpreted the question and how you felt

when you answered the survey.

5.3.5 ImprovementsThe following suggestions for improvements for drivers and state of engagement were

presented:

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1. Development Opportunities: One comment was: “There should be a bigger

focus on development opportunities. There is too much pressure on the results and

therefore you have no time to develop yourself. This makes you less engaged than

you might have been”. The issue was raised about not getting training when

needed, even when it was promised. Some participants thought there should be

better opportunities for discussing with your team leader if you needed any

training. There were suggestions that the team leaders could find out whether

there were others that needing the same training.

2. Communication: The communication between different teams is sometimes

lacking. The participants thought this should be the team leaders´ responsibility.

3. Isolated Sales Team: The focus groups revealed that the sales team felt rather

isolated. There was not much contact between sales and the others in the

department, and they didn’t even know what the others were doing. A participant

said: “There should be a stronger connection because this would create a better

workplace environment. It would also help to get more information that we could

use when we are in contact with the customer. It could also help those who don’t

feel comfortably selling”.

4. Specialization: There were suggestions that the employees should specialize on

what they are good at and that the teams should consist of a mixture of employees

with different specialities.

5. Different tasks: Enthusiasm would have increased if additional tasks and training

for these had been offered.

6. The right person for the right job

7. Goals: There were discussions on whether there was too much focus on short-

term goals and struggles to reach long-term goals. Respondents said that it was

difficult to remember the long-term goals since the short-term goals were changed

almost every week and often became totally different. Further, the respondents

said that there were periods with incentives to reach short-term goals like

competitions, but that this could lead to confusion about the goals. Some

participants said that the goals on a team level were very clear and detailed, but

they felt they needed more clear goals on an individual level. On the other hand

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others disagreed and considered that both were clear. However all agreed that

individual goals were followed up to a much greater degree than team goals.

There were discussions on possible challenges for reaching the goals when there

are interruptions by for example a team meeting. There can also be problems with

concentrating on the meeting because some are thinking: “can we speed up – I

have a goal to reach”. There was also a concern that the goals that were not

reached, were usually not followed up. It was argued that if a goal doesn’t get

followed up, it has no effect.

The summary of the significant quantitative and qualitative findings will be presented in

the start of Section 6.

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Section 6: Discussion

This final section of the thesis consists of a summary of significant findings,

recommendations and implications in the study. These results will be related to the main

research question followed by a discussion of the sub- research questions presented in

Section 1, and also in some degree to the literature review. Finally, limitations and

weaknesses of the study will be discussed.

6.1 Significant Findings related to the main Research Question

The main research question for this thesis was to examine what energizes teams of full-

time employees in Hafslund Customer Services Centre ASA. Findings from the Stepwise

Linear Regression revealed that the factors “Development Opportunities” and “Vigour”

explained the team’s level of engagement best. The results from Team Engagement

Survey and the focus groups also identified “Development Opportunities” as the most

important driver for team engagement. The other top four drivers of team engagement in

order of importance were: “Crossover Effect”, “Voice”, “Clear Goals” and

“Transformational Leadership”. “Organizational climate for team-based working” and

“Team Identification” were on the other hand identified as least important. These

differences were in fact very small (4.7 for the highest mean to 4.3 for the lowest mean),

which can be interpreted that they were of almost equal importance. However, the

Analysis of Variance showed that some of the teams scored statistically significantly

lower for the drivers “Development Opportunities”, “Team Empowerment” and

“Transformational Leadership” and “Team Empowerment”.

The survey results showed that the teams’ and the employees’ current drivers of

engagement and state of engagement were quite high and consistent. Totally, seventy-

seven per cent felt engaged at work. Both the appreciative inquiry questions from the

survey and the focus groups were largely consistent with this survey results. The focus

groups revealed further that other factors for the high level of engagement were for

example job satisfaction, good workplace culture and good workplace environment.

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Suggestions for improvements included more focus on development opportunities, more

focus on long-term goals, more varied and challenging work, more competent team-

leaders and more and specific responsibility. Results from the appreciative inquiry

question from the survey that asked, “why didn’t you mark a lower score?“ also

identified the characteristics of the work itself and job satisfaction as potential drivers.

It is interesting to note that the focus groups identified too frequent communication as a

disturbing effect. Frequent communication was identified in the Team Engagement

Model (Figure 5) as a mediator for team engagement, so this might actually mean that

both too little as well as too much communication can have a disturbing effect on

engagement. Good scores on “frequency of communication” do not necessarily mean that

this is a driver of team engagement.

6.2 Significant findings related to the Sub-Research Questions

Each of the sub-research questions in Section 1 will be discussed based on the results

and/or the literature review, ending in some conclusions and recommendations.

Why is it so critical for the organization to understand and embrace team

engagement?

As stated in Section 2, engaging teams are very important in the work environment since

work engagement has a number of benefits for both organizations (e.g. higher

productivity) and the employees (e.g. higher job satisfaction) (MacLeod and Clarke,

2012; Fleck and Inceoglu, 2010; Harter, Schmidt and Hayes, 2002). For this and other

beneficial reasons, team engagement can be a competitive advantage for a company

(MacLeod and Clarke, 2012). For Hafslund Customer Services Centre the most preferred

outcomes of team engagement are increased team performance, increased customer

services, reduced sickness absence, lower turnover and increased pride, ownership and

commitment. Further research can investigate which drivers of team engagement that can

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best explain these preferred outcomes, which were not included in this research because it

would be difficult to determine what to change as discussed in Sections 2 and 4.

What are the key drivers for team engagement in one organization?

Because of small differences (high scores and lack of significant variation) in the

analysed means, it appears that all the drivers of team engagement were identified as

important. Though, the essential here is that what the participants think is important and

what activates engagement is slightly different. According to the Expectation

Discrepancy Effect, what the respondents report as important, doesn’t really mean that

it’s important. The activator for engagement depends on the gap between having

something and not having something. If all drivers are important, the ones with the

biggest gap are the biggest activators for team engagement. It seems that the expectation

gap is the key to activation. This is in compliance with the results that showed that the

variable “Development Opportunities” has the biggest gap which explains the team’s

level of team engagement best. The other drivers that were identified as those with the

biggest gap were “Voice”, “Organizational climate for team-based working” and “Team

Empowerment”

The results give quite clear indications that fit a specific organization in time, culture and

industry. But as stated in Section 2, no statistic methods on their own or in combination

can provide satisfactory answers to the key drivers of engagement on a general level

(Scherbaum et al., 2010).

What constitute the state of engagement in one organization?

The teams’ and the employees’ current state of engagement was quite high and consistent

in this study as seventy-seven per cent felt engaged at work. Since this level of team

engagement is already quite high at Hafslund Customer Services Centre, a key question is

how to keep this high level of team engagement and what to improve. Although all

factors in the state of engagement had a high score, the Stepwise Linear Regression

showed that the state “Vigour” explained the employees’ level of engagement best. One

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doesn’t know how constant this result is over time, as state of engagement can vary over

time for different personal and situational reasons (see Section 2.2.1).

How does engagement vary across teams in one organization?

Most of the teams in this study had a quite high level of engagement. Although, Analyses

of Variance showed that “Team Kaloshi” scored significantly lower on the drivers

“Development Opportunities”, “Team Empowerment” and “Transformational

Leadership” than most of the other teams. “Team Melling” scored significantly lower on

the driver “Team Empowerment”, and “Frequency Interaction” than “Other”. Lastly

“Team Quality” scored significantly lower than “Team Berisha” and “Team Melling” on

the driver “Transformational Leadership”.

These results and the results from the question “On a scale from 1-10 how engaged are

you (where 1 is least engaged and 10 is most engaged)?” tell us that “Team Kaloshi” is

the least engaged of the highly engaged teams. In further research it would be interesting

to pair the performance and engagement data that might help determine if “Team

Kaloshi” performs differently (i.e., lower) than the other teams on important factors like

attendance, productivity, etc. What made “Team Kaloshi” score in this way can have

many reasons that didn’t appear in this research. One can only speculate that it could have

something to do with factors such as the team leader, conflicts in the team or team

composition.

Where should the organization focus its resources and take action to improve

engagement in teams?

The research from this study suggests that Hafslund ASA should focus its resources on

the drivers of team engagement that have the biggest gap which are “Development

Opportunities”, “Voice”, “Organizational Climate for Team-based working and “Team

Empowerment”. The Analysis of Variances showed that “Team Kaloshi” should improve

on the drivers “Development Opportunities”, “Team Empowerment” and

“Transformational Leadership”. “Team Melling” should improve on the drivers “Team

Empowerment” and “Interaction Frequency”. Lastly “Team Quality” should improve on

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the driver “Transformational Leadership”. Hafslund should provide training and

guidance to these team-leaders on those specific drivers identified for improvements.

As said earlier, the biggest activation for engagement are the drivers that were identified

as those with the biggest gap, which are “Development Opportunities”, “Voice”,

“Crossover Effect”, “Transformational Leadership” and “Clear Goals”. This means that

Hafslund should take action on these drivers of engagement in order to improve. In

addition, the appreciative inquiry question “What needs to change to move 1-2 points

higher?” and the recommendations for improvements from the focus groups also

suggested other ideas that Hafslund should consider. In summary, these data show that in

addition to the biggest gap, weight should be put on factors such as more varied and

challenging work, more and specific responsibility, better communication, more

specialisation and the right person for the right job. Hafslund should consider what is

possible to improve and what are the most effective factors for doing it (Scherbaum et al.,

2010). It might be difficult to provide more challenging and varied work. On the other

hand, it is easier to improve the communication.

The potential drivers of team engagement are probably not of the same importance to all

employees. This means that the best method for improving engagement may depend on

each individual rather than a collective level of different drivers (Gruman and Saks,

2011). Another important factor is that the changes in the key drivers of engagement are

not likely to have a strong and lasting effect on engagement levels if these changes are not

aligned and connected with other parts of Hafslund activities (Gruman and Saks, 2011).

This study’s main purpose was to examine what energizes teams in one specific

organization. In conclusion, in order to study team engagement, this study has taken into

consideration both individual level, team level and organization level in order to study

engagement at team level (as see Section 1, Sjøvold, 2006). Data from this study confirm

that in order to do research on engagement you should look at all levels since engagement

is such a complex phenomenon. In order to improve the level of team engagement

Hafslund should therefore also look at the individual and the organizational level.

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Another important conclusion is that to ask the employees how important they think a

driver of engagement is, doesn’t necessarily give the correct picture.

6.4 Limitations

The focus group interviews indicated that “Voice”, “Team Empowerment” and

“Transformational Leadership” overlap. Further “Development Opportunities” overlaps

with “Clear Goals”. This indicates that these or/and other drivers might be of equal

importance, but the employees might not be aware of this fact. This also suggests that if

you have something that meets your expectations, it does not drive you to be more

engaged. If this is the case, this research can lose some of its value. This fact is what

makes evaluation of engagement and other psychological concepts so difficult.

The focus groups revealed that the Team Engagement Survey was a bit too long. The

survey included 70 questions as recommended by Custom Insight (2013). However, a too

long survey can lead to lower quality of the responses as the respondents may get tired of

filling out the survey and spend less time reading and thinking about the questions

(Custom Insight, 2013). The focus groups also revealed that some respondents were

nervous for their anonymity and they might have answered more positively than what

they actually thought.

Because of only one company referent used in this study the conclusions are only

applicable to that company and that means that one cannot generalize the results. Further

research can determine if these drivers are typical of the customer services industry and if

they are generalizable to other industries. With more companies in the study, the results

could have been validated. Although as stated in the literature review by MacLeod and

Clarke (2011), there are no drivers of engagement that fit into all industries and

companies.

The focus group results revealed that the survey failed to take into account the work itself

as a potential driver. It is possible that the work itself and other potential drivers, as

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suggested in the focus groups (financial incentives, more challenging work and

competitions) should be looked into in further research. It is interesting to note that work

itself was identified as a driver in Section 2 by Fleck and Ingeoglu (2010) in the literature

review.

Some questions in the Team Engagement Survey count on employees’ self-report of their

levels of engagement, which might have inflated the relationships among the variables.

There is evidence in the literature about self-serving bias when employees report their

own behaviours (Johns, 1994).

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Appendix 1: Team Engagement Survey Hafslund Customer Services Centre

Thank you for taking your time to answer this survey.

The Purpose of this Survey: This survey is a part of a master thesis done by student Oda

Hoftun and supervisor Dr. Paul Tolchinsky at Webster University Vienna in Austria. The

main purpose of the study is to examine what energize teams for the full-time employees

in Hafslund Customer Services Centre. Followed-up focus groups with selected team

members will also be conducted after the survey.  

What is Team engagement? “a team’s experiences of heightened positive motivational

and energized state towards team orientated goals”.

Some Practical Information: This survey is confidential and it will not be given any

reports on an individual level.  It will take around 10 minutes to answer this survey. If any

questions about this survey please contact Oda Hoftun on: [email protected] or

93648188.  

Thank you and good luck.    

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Team Engagement Survey Part 1Engagement Drivers: The drivers of engagement are the factors that impact your team’s ability to stay engaged and motivated.

1. Clear Goals 

2. How important is the variable "Clear Goals" for you in order to stay engaged in your job?

3. Development Opportunities 

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Strongly Disagree

Disagree Neither Agree nor Disagree

Agree Don't know

I have a good understanding of the goals of my team

o o o o o

I understand how my teams work directly contributes to the overall success of the organization

o o o o o

My team leader sets challenging but achievable goals

o o o o o

Not at all Important

Somewhat Unimportant

Neither Important nor Unimportant

Somewhat Important

Very Important

Don't know

Clear Goals

o o o o o o

Strongly Disagree

Disagree Neither Agree nor Disagree

Agree Don't know

I trust that if I do good work, my team leader will consider me for promotion

o o o o o

There is room for me to advance within the company

o o o o o

My team leader helps me to develop to my fullest potential

o o o o o

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4. How important is the variable "Development Opportunities" for you in order to stay engaged in your job?

Not at all Important

Somewhat Unimportant

Neither Important nor Unimportant

Somewhat Important

Very Important

Don't know

Development Opportunities

o o o o o o

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5. Crossover Effect 

Strongly Disagree

Disagree Neither Agree nor Disagree

Agree Don't know

In our team we have a positive mood

o o o o o

The moods of my colleges are infectious to me

o o o o o

My team leader models behaviours such as being positive, excited and engaged

o o o o o

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6. How important is the variable "Crossover Effect" for you in order to stay engaged in your job?

Not at all Important

Somewhat Unimportant

Neither Important nor Unimportant

Somewhat Important

Very Important

Don't know

Crossover Effect

o o o o o o

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7. Team Identification

Strongly Disagree

Disagree Neither Agree nor Disagree

Agree Don't know

I’m pride to be a member of my team

o o o o o

When I talk about my team, I usually say “we” rather than “they”

o o o o o

When someone praises my team, it feels like a personal compliment

o o o o o

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8. How important is the variable "Team Identification" for you in order to stay engaged from a scale from 1-7?

Not at all Important

Somewhat Unimportant

Neither Important nor Unimportant

Somewhat Important

Very Important

Don't know

Team Identification

o o o o o o

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9. Team Empowerment 

Strongly Disagree Disagree Neither Agree nor Disagree

Agree Don't know

We are given the freedom to do our jobs effectively

o o o o o

My team makes our own decisions

o o o o o

On my team, we can take action to satisfy a customer without worrying about being second-guessed by our team leader

o o o o o

My team has the freedom to decide our own work

o o o o o

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10. How important is the variable "Team Empowerment" for you in order to stay engaged in your job?

Not at all Important

Somewhat Unimportant

Neither Important nor Unimportant

Somewhat Important

Very Important

Don't know

Team Empowerment

o o o o o o

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11. Transformational Leadership

Strongly Disagree

Disagree Neither Agree nor Disagree

Agree Don't know

My team leader builds a climate that is perceived to be safe and supportive

o o o o o

My team leader communicates effectively to all team members

o o o o o

My team leader builds a climate that is enjoyable

o o o o o

My team leader are flexible in recognizing, understanding and adapting to individual needs and views

o o o o o

My team leader recognizes high levels of teams performance

o o o o o

My team leader recognizes scores on high levels of customer service quality

o o o o o

My team leader helps me to develop confidence in my own ability to do my job well

o o o o o

My team leader treats my teammates fairly

o o o o o

My team leader treats my teammates with respect

o o o o o

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12. How important is the variable "Transformational Leadership" for you in order to stay engaged in your job?

Not at all Important

Somewhat Unimportant

Neither Important nor Unimportant

Somewhat Important

Very Important

Don't know

Transformational Leadership

o o o o o o

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13. Team Task

Strongly Disagree

Disagree Neither Agree nor Disagree

Agree Don't know

My teams tasks are clearly defined

o o o o o

I have the resources I need to do my job most effectively

o o o o o

My team have the right skills to perform our tasks effectively

o o o o o

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14. How important is the variable "Team Task" for you in order to stay engaged from a scale from 1-7?

Not at all Important

Somewhat Unimportant

Neither Important nor Unimportant

Somewhat Important

Very Important

Don't know

Team Task o o o o o o

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15. Organizational Climate for team-based working

Strongly Disagree

Disagree Neither Agree nor Disagree

Agree Don't know

My organization reward team performance over individual performance

o o o o o

Individual performance is rewarded in such a way that internal competitiveness don’t disturbs teamwork

o o o o o

My teamwork is rewarded collectively in such a way that everyone in my team benefits from it

o o o o o

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16. How important is the variable "Organizational Climate for team-based working" for you in order to stay engaged in your job?

Not at all Important

Somewhat Unimportant

Neither Important nor Unimportant

Somewhat Important

Very Important

Don't know

Organizational Climate

o o o o o o

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17. Voice

Strongly Disagree

Disagree Neither Agree nor Disagree

Agree Don't know

My ideas have a meaningful impact on workplace decisions

o o o o o

I feel I have an opportunity to indirectly influence the decisions to my team leader

o o o o o

I feel safe to speak my mind about how things can be improved

o o o o o

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18. How important is the variable "Voice" for you in order to stay engaged in your job?

Not at all Important

Somewhat Unimportant

Neither Important nor Unimportant

Somewhat Important

Very Important

Don't know

Voice o o o o o o

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Team Engagement Survey Part 2State of Engagement: is the team's current state of engagement. This is your team’s enthusiasm and involvement in their job.  

19. Backing-up behaviour

Strongly Disagree

Disagree Neither Agree nor Disagree

Agree Don't know

I can count on my teammates to get the job done

o o o o o

My teammates welcome each others success

o o o o o

When a team member is absent, my team helps each other with the extra workload in order to reach the team’s performance

o o o o o

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20. Interaction frequently 

Strongly Disagree

Disagree Neither Agree nor Disagree

Agree Don't know

In my team, we usually sit together when we are having lunch

o o o o o

In my team, most of my teammates have contact after work

o o o o o

In my team, we communicate often about work related questions

o o o o o

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21. Feeling of Engagement The following 15 statements are about how you feel at work. Please read each statement carefully and decide if you ever feel this way about your job.

Never A few times a year or less

Once a month or less

A few times a month

Once a week

A few times a week

Every day

At my work, I feel bursting with energy

o o o o o o o

I find the work that I do full of meaning and purpose

o o o o o o o

Time flies when I'm working

o o o o o o o

At my job, I feel strong and vigorous

o o o o o o o

I am enthusiastic about my job

o o o o o o o

When I am working, I forget everything else around me

o o o o o o o

My job inspires me

o o o o o o o

When I get up in the morning, I feel like going to work

o o o o o o o

I feel happy when I am working intensely

o o o o o o o

I am proud on the work that I do

o o o o o o o

I am immersed in my work

o o o o o o o

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I can continue working for very long periods at a time

o o o o o o o

To me, my job is challenging

o o o o o o o

I get carried away when I’m working

o o o o o o o

At my job, I am very resilient, mentally

o o o o o o o

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Appreciative Inquiry Questions Part 322. On a scale from 1-10 how engaged are you (where 1 is least engaged and 10 is most engaged)?

1 2 3 4 5 6 7 8 9 10o o o o o o o o o o

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23. Why didn’t you mark a lower score?

24. What needs to change to move 1-2 points higher?

Background Information Part 4 25. Gender  Male Female

26. Age Under 25 26-35 36-45 46-55 Over 56

27. What is your highest level of education? High school Bachelor degree Master degree Other

28. Name of your team?  Berisha Melling Kaloshi Roskifte Quality Other

29. Current Position?  Customer Services Advisor Senior Customer Services Advisor Sales Back Office

30. Time in current position?  Less than half a year Between half a year and 3 years 3 years or more

Thank you for your participations.

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Appendix 2: Connections Variables Engagement

Key Drivers of Engagement Individual and Organization Level Key Drivers of Engagement, Individual and Organization Level

Definition/Description about the term Included Features

Voice The ability of employees to have meaningful input into workplace decisions

Voice increases perceptions of fairness

Trust Trust occurs in situations where employees are treated fairly by supervisors, peers and their organization. Fairness leads to trust and trust in turn creates improved probability that employees will take risks to be engaged.

Fairness climateTrustSafetyRisks

Person-Job & Person-

The work environment shapes the experience the employees have of their

Look at table 1 bellow

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Organization fit work, and can either push the employees to become engaged or drive them towards disengagement.

Affect regulation, recovery and relaxation

Affective states: what a person is feeling in any moment, e.g. sadness or happiness.Affect Regulation: a particular form of self-regulation with intention to foster a person’s positive affective states & managing a person’s negative affective states.Relaxing activities at work (e.g. listening to music or drinking a tee during break) positively associated with engagement.

Thinking of something pleasant ReappraisalSeek social supportReappraisalVentingEnjoyable cognitive distraction “Supporting strategies” (strategies for supporting working environment)Relaxing activitiesActive/Energy activities Cognitive distractions

Job Resources Job resources: the physical, social or organizational aspects of the job that possibly will reduce job demands, be efficient in achieving goals or stimulate personal growth.

AutonomySocial support from co-workersSkill variety

Personal resources

Personal resources: individual’s positive psychological state of development.

Self-efficacyOrganizational based self-esteemOptimism

Relationship with immediate supervisor, belief in senior leadership and pride in working for the company.

Relationship with immediate supervisorBelief in senior leadershipPride in working for the company

Feedback, autonomy, social support and organizational climate

FeedbackAutonomySocial supportOrganizational climate

Leadership, Reward Program and Communication

Management’s ability to demonstrate leadership and strategic directions that builds confidence for long-term successEffective reward programsFrequent, clear, two-way employee communication

Key Drivers of Team Engagement and Organization Level

Key Drivers of Engagement Individual and

Definition/Description about the term

Included Features

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Organization LevelTeam task The design of a team task is critical

input for deciding how team members must work together, including team members’ roles, workflow processes, collective goals and team member interactions.Task interdependence are especially important, which is the extent to which team members must share materials, information or knowledge to perform their job.Highly engaged teams are those that identify the high level of task interdependency required and interact frequently in positive and adaptive ways.

Task design should follow the team’s missions and goals. The mission and goals should be closely aligned with the organization’s corporate strategy and objectives.The task should be completely defined.Team should have the right composition, skills and resources necessary to achieve the task. Aspects to consider: personalities, expert knowledge and social skills, material, administrative & technological requirements.

Sharing meaningful vision

Meaningful work: work that has challenge and variety allows for autonomy and provides people with feedback. In addition, work that is aligned with one’s values and seen as contributing to the company’s success contributes to feelings that one’s work is meaningful.

Clear and meaningful team vision.Shared meaningful team vision should be based on team objectives.

Team potency Team potency: the team’s shared belief that the teamwork can be effective.Team potency can also relate to the crossover effect.Crossover is the transfer of positive or negative experiences from teams to individual team members.High functioning teams were more positive than low functioning team.

Optimism, positive attitudes, and proactive behaviours towards their colleagues.Positive feelingsPositive emotionsPositive moodEngaged managers

Team identification

Social identity theory: individuals define themselves by the group to which they belong.

Norms are the important factor to create a common social identity.If team norms encourage to high-level engagement, there is expectancy that the team shows greater efforts.

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Team empowerment

Team psychological empowerment: collective belief that they have the authority to control their proximal work environment and are responsible for their team’s functioning”.Structural empowerment: the actual practice of assigning responsibility, exercising control and delegating authority. The idea is that the team members that are in best position to know the what, how and when of the task should have the power and responsibility to do it.Empowered teams are characterized as having increased task motivation resulting from an individual’s positive orientation toward his or her work role.

Empowered teams determine their own decisions.Empowered teams are characterized of task autonomy, self-efficacy, added value and impact.In order to transform a team into empowered teams includes: more task control toward aligning the team’s values, beliefs and norms to the overall organization.In order for the team to be empowered, the organization and leaders need to emphasize trust and commitment.

Team psychological safety

Psychological safety: feeling able to show and employ one’s self without fear of negative consequences to self-image, status of career.

Team psychological safety is important for engagement as it supports an environment in which the team members feel confident to be themselves and can speak openly without being rejected, punished or embarrassed by their team.Team goals are also important for psychological safety as they take the attention away from the individual to the team.

Organizational climate for team-based working

The team climate is what it feels like to work in a given team and is based on employees’ perception of the team environment.Team-based organizations need a commitment within the organization and a belief that organizational goals will be achieved by teams working cooperatively together which require an organization climate that support team-based working.

Rewarding team performance rather than individual performance although both teams and individuals must be recognized and rewarded.Shared objectives by involving all teamsVoice: team have a say in important decisionsOrganization’s communication system The physical space of the team’s workplace

Alignment of organization and team values and objective

Alignment gets all the organization and team resources working in collaboration and move in the same direction.

Organizations should provide a close alignment between organizational and team values and objectives.Team members are given collectively controlTeam’s tasks are seen to be equally important both to the success of the team and the organization

Transformational leadership

Transformational leadership is about “”leading” - changing the organization’s strategies and culture so they have a better fit with the surrounding environment. Transformational leaders are change

Engage in transformational leadership behaviours that communicate and encourage the meaningfulness of work, that build climates that are perceived to be safe and supportive and they can model behaviours being positive,

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agents who energize and direct employees to new sets of corporate values and behaviours”.Transformational leadership is an intrinsically based motivation process that creates an emotional and intellectual connection with their employees that motivates the employees to engage in high effort levels.Supervisors are more centrally important than other managers for managing individual performance.

exited and fully engaged by achieving roles that meet organization goals.Supervisors can influence the design of jobs, roles, levels of autonomy, systems and workplace structures that encourage willingness for employees to engage emotionally and cognitively at work.

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