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A Perception-BasedViewoftheEmployee:AStudy
of Employees’ReactionstoChange
DISSERTATION
of the University of St. Gallen,
Graduate School of Business Administration,
Economics, Law and Social Sciences (HSG)
to obtain the title of
Doctor of Business Administration
submitted by
Chaiporn Vithessonthi
from
Thailand
Approved on the application of
Prof. Dr. Markus Schwaninger
and
Prof. Dr. Günter Müller-Stewens
Dissertation no. 3040
D-Druck-Spescha, St. Gallen 2005
The University of St Gallen, Graduate School of Business Administration, Economics, Law
and Social Sciences (HSG) hereby consents tothe printing ofthe present dissertation,
without hereby expressing any opinion on the views herein expressed.
St Gallen, January 20, 2005
The President:
Prof. Dr. Peter Gomez
i
Abstract
Drawing on several theoretical perspectives (e.g., individual motivation, behavioral
decision-making, social exchange theories, organizational justice theories, social cognition,
institutional theories and neoclassical economics theories) from different disciplines (e.g.,
organizational psychology, strategic management, and economics), this dissertation
developed aperception-based approach to examine a possibility that employees’ perceptions
and/or attitudes will be associated with their decisions in an organizational setting.
Specifically, this dissertation examined the effects ofemployees’ perceptions and/or
attitudes on their reactionsto organizational change.
This dissertation addressed two major research questions relevant to organizational
change management, organizational behavior and applied psychology. First, it addressed a
question of what perceptions and/or attitudes influence employees’ resistance to change.
Second, it addressed a question of what perceptions and/or attitudes influence employees’
support for change? This was done by drawing on several theoretical perspectives and
examining relationships between perception and/or attitude variables and resistance to
change and support for change.
Based on data obtained from two samples of respondents from two different settings
(i.e., a downsizing in Study 1 and a privatization in Study 2), this dissertation found
significant relationships between perceptions and/or attitudes and resistance tochange
and/or support for change. The findings provide some empirical support for the perception-
based viewofthe employee. Using multinomial ordered probit modeling, some perceptions
and/or attitudes were found to be significantly predictive ofemployees’reactionsto change.
The potential practical value of using perceptions and/or attitudes as predictors of
employees’ reactionstochange is discussed, as are implications and suggestions for future
research.
ii
Acknowledgements
This dissertation began with a conversation with Professor Dr. Markus Schwaninger, a
professor of management at the University of St. Gallen, in the summer of 2003, when I was
about to finalize my master’s degree in international management at the same university.
During this conversation we discussed organizational change, and since I had thought that it
might make an interesting piece of research, I asked him about the possibility to write the
dissertation that lies before you today. As I expected, his response was clear, insightful,
interesting, and encouraging. He enthusiastically agreed to supervise my dissertation and
told me to proceed with my ideas. So it began.
I am reminded as I finalize these notes of my good fortune in being able to do
something I enjoy, and to complete my research. It is the rarest of privileges for me, with
my limited ability, to do that in a relatively short span of time; this seems tremendously
precious to me. But this work could not have been completed without support from many
people. I owe a debt of gratitude tothe 315 respondents who took time out of their busy
schedules to complete and return the questionnaire. I am extremely grateful to Prof. Dr.
Markus Schwaninger, who has been not only the referee for this dissertation but also my
mentor throughout the past years, for offering his invaluable help, comments, perspectives,
and suggestions, and for showing great interest in my research. Undoubtedly, he has pointed
me in the direction ofa fascinating landscape, not for the first time and, I hope, not for the
last.
I also want to express my sincere gratitude to Professor Dr. Günter Müller-Stewens,
who has magnanimously taken time out of his busy schedule to become the co-referee, for
offering his valuable insights and perspectives on the theoretical, methodological and
empirical aspects of my dissertation. I am very grateful to Dr. Klaus Edel as well, not only
for offering his valuable suggestions and solutions to statistical issues with enthusiasm, but
also for allowing me to use his computer and statistical applications. I am also grateful to
Silke Bucher, Bernd Beuthel, and Jasmina Hasanbegovic for their thoughtful and
constructive feedback on earlier versions of this dissertation. And, of course, I thank Linda
Roberts, my editor and proofreader, at Western Illinois University, who shouldered the
editorial and proofreading work on my unpolished lines of English. Last but not least, I
would like to thank my parents for their love, incredibly great confidence, and unbounded
support throughout the course of this journey and beyond.
Basel, January 2005 Chaiporn Vithessonthi
iii
Table of Contents
Abstract i
Acknowledgements ii
List of Tables vi
List of Diagrams and Figures viii
List of Abbreviations x
1. Introduction 1
1.1. Research Issues 1
1.2. Research Questions 3
1.3. The Importance ofthe Research Questions 6
1.4. The Scope ofthe Dissertation 8
1.5. The Intended Contributions of this Dissertation 10
2. Core Concepts and Relevant Literature 12
2.1. Theories ofChange 12
2.2. Perceptions 16
2.3. Attitude 19
2.4. Emotion 21
2.5. Individual Decision-Making 23
2.6. ReactionstoChange 27
3. Theoretical Development and Research Model 31
3.1. Perception-BasedViewofthe Employee 32
3.2. Research Model and Hypotheses 35
3.2.1. Perceived Organizational Support 38
3.2.2. Perceived Procedural Justice 40
3.2.3. Perceived Participation in Decision-making 42
3.2.4. Perceived Need for Change 45
3.2.5. Attitude towards Organizational Change 48
3.2.6. Fear of Known Consequences ofaChange 50
3.2.7. Fear of Unknown Consequences ofaChange 52
3.2.8. Perceived Change in Power 54
3.2.9. Perceived Change in Status 56
3.2.10. Perceived Change in Pride 58
3.2.11. Job Satisfaction 60
3.2.12. Job Security 62
iv
3.2.13. Job Motivation 64
3.2.14. Perceived Employability 66
3.2.15. Self-Confidence for Career-Relevant Learning 69
3.2.16. Affective Commitment 71
3.2.17. Trust in Management 73
3.2.18. Colleagues’ ReactionstoChange 75
4. Research Methodology 77
4.1. Context, Sample and Procedure 78
4.1.1. Study 1 – Context, Sample and Procedure 78
4.1.2. Study 2 – Context, Sample and Procedure 79
4.2. Alternative Methods of Data Analysis 80
4.3. The Multinomial Ordered Probit Model 81
4.4. Measures of Theoretical Constructs 83
4.4.1. Dependent Variables 83
4.4.2. Independent Variables 84
4.4.3. Control Variables 87
4.5. Data Analysis Procedures 87
5. Results and Discussion 89
5.1. Study 1 – Results and Discussion 89
5.1.1. Analyses of Correlations among Dependent Variables 89
5.1.2. Analyses of Correlations among Independent Variables 90
5.1.3. Results for Hypotheses – The Multinomial Ordered Probit Models 94
5.1.4. Discussion ofStudy 1 106
5.2. Study 2 – Results and Discussion 108
5.2.1. Analyses of Correlations among Dependent Variables 109
5.2.2. Analyses of Correlations among Independent Variables 110
5.2.3. Results for Hypotheses – The Multinomial Ordered Probit Models 114
5.2.4. Discussion ofStudy 2 127
5.3. General Discussion 131
5.3.1. Key Contributions ofthe Dissertation 131
5.3.2. Limitations to this Dissertation 136
5.3.3. Implications and Directions for Future Research 138
5.3.4. Implications and Directions for Practice 139
6. Conclusions 140
References 142
Appendices 165
v
Appendix A: Questionnaire Survey Items for Studies 1 and 2 165
Appendix B: Study 1 – Diagrams and Correlations 171
Appendix C: Study 2 – Diagrams and Correlations 195
Appendix D: Additional Regression Analyses for Study 2 219
Curriculum Vitae 236
vi
List of Tables
Table 1: Characteristics of Alternative Regression Models 81
Table 2: Study 1 – Correlations for All Final Variables 93
Table 3: Study 1 – Regression Results of Active Resistance toChange 95
Table 4: Study 1 – Regression Results of Passive Resistance toChange 96
Table 5: Study 1 – Regression Results of Active Support for Change 97
Table 6: Study 1 – Regression Results of Passive Support for Change 98
Table 7: Study 2 – Correlations for All Final Variables 113
Table 8: Study 2 – Regression Results of Active Resistance toChange 115
Table 9: Study 2 – Regression Results of Passive Resistance toChange 116
Table 10: Study 2 – Regression Results of Active Support for Change 117
Table 11: Study 2 – Regression Results of Passive Support for Change 118
Table 12: Summary of Results for Hypotheses in Study 1 and Study 2 132
Table 13: Study 1 – Correlations for All Dependent Variables 182
Table 14: Study 1 – Correlations for Active Resistance 183
Table 15: Study 1 – Correlations for Active Resistance (cont.) 184
Table 16: Study 1 – Correlations for Active Resistance (cont.) 185
Table 17: Study 1 – Correlations for Passive Resistance 186
Table 18: Study 1 – Correlations for Passive Resistance (cont.) 187
Table 19: Study 1 – Correlations for Passive Resistance (cont.) 188
Table 20: Study 1 – Correlations for Active Support 189
Table 21: Study 1 – Correlations for Active Support (cont.) 190
Table 22: Study 1 – Correlations for Active Support (cont.) 191
Table 23: Study 1 – Correlations for Passive Support 192
Table 24: Study 1 – Correlations for Passive Support (cont.) 193
Table 25: Study 1 – Correlations for Passive Support (cont.) 194
Table 26: Study 2 – Correlations for Dependent Variables 206
Table 27: Study 2 – Correlations for Active Resistance 207
Table 28: Study 2 – Correlations for Active Resistance (cont.) 208
Table 29: Study 2 – Correlations for Active Resistance (cont.) 209
Table 30: Study 2 – Correlations for Passive Resistance (cont.) 210
Table 31: Study 2 – Correlations for Passive Resistance (cont.) 211
Table 32: Study 2 – Correlations for Passive Resistance (cont.) 212
Table 33: Study 2 – Correlations for Active Support 213
vii
Table 34: Study 2 – Correlations for Active Support (cont.) 214
Table 35: Study 2 – Correlations for Active Support (cont.) 215
Table 36: Study 2 – Correlations for Passive Support 216
Table 37: Study 2 – Correlations for Passive Support (cont.) 217
Table 38: Study 2 – Correlations for Passive Support (cont.) 218
Table 39: Summary of Regression Results of Indicators for Resistance toChange 223
Table 40: Summary of Regression Results of Indicators for Support for Change 224
Table 41: Regression Results of Active Resistance toChange 1 225
Table 42: Regression Results of Active Resistance toChange 2 225
Table 43: Regression Results of Active Resistance toChange 3 226
Table 44: Regression Results of Passive Resistance toChange 1 227
Table 45: Regression Results of Passive Resistance toChange 2 228
Table 46: Regression Results of Passive Resistance toChange 3 229
Table 47: Regression Results of Active Support for Change 1 230
Table 48: Regression Results of Active Support for Change 2 231
Table 49: Regression Results of Active Support for Change 3 232
Table 50: Regression Results of Passive Support for Change 1 233
Table 51: Regression Results of Passive Support for Change 2 234
Table 52: Regression Results of Passive Support for Change 3 235
viii
List of Diagrams and Figures
Figure 1: Dimensions for Categorization ofReactionstoChange 29
Figure 2: A Categorization ofReactionstoChange 30
Figure 3: Alternative Models Relating Perceptions and ReactionstoChange 31
Figure 4: Conceptual Diagram ofthe ‘Direct Effects’ Model 37
Figure 5: Five Stages of Organizational Decline 46
Figure 6: Summary of Measures ofReactionstoChange 84
Figure 7: Summary ofthe Sequence of Data Analysis 88
Figure 8: Study 1 - Indicators for Active Resistance toChange 171
Figure 9: Study 1 - Indicators for Passive Resistance toChange 171
Figure 10: Study 1 - Indicators for Active Support for Change 172
Figure 11: Study 1 - Indicators for Passive Support for Change 172
Figure 12: Study 1 - Indicators for Perceived Organizational Support 173
Figure 13: Study 1 - Indicators for Perceived Procedural Justice 173
Figure 14: Study 1 - Indicators for Perceived Participation in Decision-Making 174
Figure 15: Study 1 - Indicators for Perceived Need for Change 174
Figure 16: Study 1 - Indicators for Attitude towards Organizational Change 175
Figure 17: Study 1 - Indicators for Fear of Known Consequences ofaChange 175
Figure 18: Study 1 - Indicators for Fear of Unknown Consequences ofaChange 176
Figure 19: Study 1 - Indicators for Perceived Change in Power 176
Figure 20: Study 1 - Indicators for Perceived Change in Status 177
Figure 21: Study 1 - Indicators for Perceived Change in Pride 177
Figure 22: Study 1 - Indicators for Job Satisfaction 178
Figure 23: Study 1 - Indicators for Job Security 178
Figure 24: Study 1 - Indicators for Job Motivation 179
Figure 25: Study 1 - Indicators for Perceived Employability 179
Figure 26: Study 1 - Indicators for Self-Confidence for Learning 180
Figure 27: Study 1 - Indicators for Affective Commitment 180
Figure 28: Study 1 - Indicators for Trust in Management 181
Figure 29: Study 1 - Indicators for Perceptions of Colleagues’ Resistance toChange 181
Figure 30: Study 2 - Indicators for Active Resistance toChange 195
Figure 31: Study 2 - Indicators for Passive Resistance toChange 195
Figure 32: Study 2 - Active Support for Change Indicators 196
Figure 33: Study 2 - Indicators for Passive Support for Change 196
[...]... it My answer is that they cannot, due tothe fact that from a legal perspective, an organization is a non-human entity; therefore, we can argue that it is not the organization that changes itself but rather the people in the organization that change themselves and thereby changethe organization But this leads tothe question of whether an organization’s capability to adapt is conditioned by its employees’. .. that 6 employees’ resistance to or support for change which are arguably predictive of their performance at the time of the organizational change, can be seen as an indicator predicting the probability of success of the change (Kotter, 1995; Kotter and Cohen, 2002) Thus, the optimization of resistance tochange and support for change may enhance the probability of success of organizational change, thereby... resistance to change, so that they achieve the goals of their organizational change efforts? It is not surprising that, over the years, resistance tochange has attracted increasing attention from researchers, practitioners, and the general public A great deal of research has focused on understanding the sources and determinants of resistance tochangeThe media and the general public are generally... information with regard to relevant environments, and legal and other barriers to entry or exit from the market may also restrict the nature and degree of organizational change or adaptation in organizations (Hannan and Freeman, 1984) Research on organizational change has led to various views and perspectives However, there are at least three most prominent views on organizational changeThe first view, ... predictor ofemployees’reactionstochange Further, examination at the decision level of analysis—that is to say, resistance tochange and support for change diminishes at least two concerns First by relating perceptions and attitudes rather than decision-making process toreactionsto change, casual ambiguity is not an issue since (1) the relationships between perceptions and reactionstochange are... change are related toemployees’ resistance to and/or support for change rates (i.e., a percentage of the total number of employees who support or resist achangetothe total number of employees) at the organizational level, it would be a fallacy to then assume that such practices are similarly and/or directly related toemployees’ resistance to and/or support for change decisions at the individual... disposition to the development of attitudes (Salancik and Pfeffer, 1978) A more recent theory, developed in the late 1970s, can be seen as a breakaway from the traditional view on how attitudes are formed is based on the assumption that attitudes are situational in nature According to this approach, attitudes are viewed as reactionsto social situations that change when social context changes (Salancik and... this same resistance does not create a negative implication for the firm at another moment and in another similar circumstance, one may not legitimately and precisely conclude that resistance tochange is always undesirable and negative On the other hand, it is probable that resistance tochange may at times have a positive effect on the outcome of organizational change, and that it may be strategically... - Indicators for Perceptions of Colleagues’ Resistance toChange .205 ix List of Abbreviations AR AR1 AR2 AR3 AS AS1 AS2 AS3 e.g etc i.e IIA IPO OLS PBV POS PR PR1 PR2 PR3 PS PS1 PS2 PS3 S.E Active resistance tochange Indicator 1 for active resistance tochange Indicator 2 for active resistance tochange Indicator 3 for active resistance tochange Active support for change Indicator 1 for active support... resistance tochange and support for change, in three ways 10 First, this dissertation examines a variety of actions that employees may choose in response toachange in the organization Drawing upon prior research, it identifies two primary types ofemployees’reactionsto change: resistance tochange and support for change These are further divided into: active and passive resistance, and active and passive . of Abbreviations
AR Active resistance to change
AR1 Indicator 1 for active resistance to change
AR2 Indicator 2 for active resistance to change
AR3. empirical research in organizational change and employees’ reactions to
3
Organizational change can be considered as a class of organization theory.