Impact of enterprise resource planning tools and techniques in management education (M.Phil) (Softcopy is also available)
Kantharia, Bharat Narayandas (DP2510)
Impact of enterprise resource planning tools and techniques in management education (M.Phil) (Softcopy is also available) - 2019 - xxvi,191p.
CONTENTS
Undertaking i
Certificate iii
Acknowledgments v
Abstract vii
Table of contents xi
List of figures xvii
List of tables xxi
List of tables xxii
List of Abbreviations xxiii
1 Introduction 1
1.1 Approaches to Management Education 3
1.2 Kolb's experiential learning model (Kolb, Rubin, & McIntyre, 1974) 6
1.3 Motivation for this Study 8
1.4 Aims of this Study 9
1.5 Results and Achievements 10
1.6 Overview of dissertation 11
2 Theory of Decision Making, Evolution of ERP Systems and ERP as an
Aid in Decision Making 13
2.1 Theory of Decision Making 13
2.1.1 Rational Decision Making 18
2.1.2 Making “Good Enough” Decisions: Bounded Rationality
Models. 20
2.1.3 Political Domain Perspectives 22
2.1.4 Creative Decision Making Models 23
2.2 Decision Making Style 26
2.3 Evolution of Enterprise Systems . 27
2.4 Conceptual Model of Enterprise Resource Planning Systems 30
2.4.1 ERP Solutions Architecture 31
2.4.2 ERP Implementation Methodology and Phases 33
2.4.3 ERP II -Extended ERP 34
2.5 ERP as an Aid to Managerial Decision Making 36
2.6 Business Simulation Games Based on ERP as an Aid to Decision
Making. 40
3 Review of Literature and Research Hypotheses 43
3.1 Skill Gaps in Modern Graduates 43
3.2 Critical Importance of 'knowing-doing-being' in Management
Education 44
3.3 Need for ERP Based Education in Management Education Curricula 47
3.4 Design of ERP based Course Curricula 50
3.4.1 Alliance with ERP Partner 52
3.4.2 Project Assignments . 53
3.5 Implementation of Educational ERP Systems 53
3.6 Alternative Approaches to Conduct this Study 54
3.7 Research Gaps 58
3.8 Rese ar ch Hyp o t hes es Formu la t io n 61
4 Research Design, Methodology and Conduct of Surveys 65
4.1 Research Design 65
4.2 Research Methodology 66
4.3 Proposed Path Model for Managerial Decision Making 68
4.4 Conceptualization and Design of Survey Instrument 70
4.5 Sampling Process 75
4.6 Methodology for Conduct of Surveys 76
4.7 Pilot Study 77
4.8 Pre-ERP Course Survey 78
4.9 Post-ERP Course Survey 80
5 Data Compilation and Statistical Data Analysis 83
5.1 Pre-ERP Course Survey Analysis 83
5.1.1 Demographic Details for Pre-ERP Course Survey Responses 83
5.2 Pre+Post Survey Responses Having Undergone ERP with Simulations 85
5.2.1 Pre+ Post ERP Survey Demographics 85
5.2.2 Treatment of Missing Responses 87
5.3 Overall Patterns of Rating 87
5.4 Pre-Survey and Post-Survey Sub-domain Averages 90
5.5 Overall Differences between Post and Pre Survey Scores 91
5.6 Reliability of the Sample Data. 92
5.7 Data Analysis Approach 95
5.7.1 Differences Approach 95
5.8 Net Effect on All and Sub-Domains 95
5.9 Paired t Test of significance 98
5.10 Comparison of Net Effect on sub-domains of Decision Making 100
5.11 Reliability of Data after t Test 103
5.12 Common Method Variance or Common Method Bias 104
5.13 Exploratory Factor Analysis 105
5.13.1 EFA: Results of Rational Domain 106
5.13.2 EFA: Results of Entrepreneurial Domain 108
5.13.3 EFA: Results for Political Domain 109
5.14 Partial Least Square Path Modelling basis XLSTAT 112
6 Conclusions, Contribution and Directions for Future Research 123
6.1 Contributions of this Study 127
6.2 Limitations 129
6.3 Future Research 129
References 131
Appendix 1: Pre-ERP Course Survey Instrument 139
Appendix 2: Post-ERP Course Survey Instrument 147
Appendix 3: Business Process Integration I and II 157
Appendix 4: Feedback and Comments by the Respondents 157
Appendix 5: Harman's Single Factor Test (CMV) 163
Appendix 6: Analyses for Categorical Variables 165
6.1 Gender Differences
6.2 CAT Score Categories
6.3 SNAP Score Categories
6.4 Work Experience Categories
Appendix 7: PLSPM Results Summary- Domain wise 28Sv and 4 DV 173
Ph.D. TH-0080 / KAN
Impact of enterprise resource planning tools and techniques in management education (M.Phil) (Softcopy is also available) - 2019 - xxvi,191p.
CONTENTS
Undertaking i
Certificate iii
Acknowledgments v
Abstract vii
Table of contents xi
List of figures xvii
List of tables xxi
List of tables xxii
List of Abbreviations xxiii
1 Introduction 1
1.1 Approaches to Management Education 3
1.2 Kolb's experiential learning model (Kolb, Rubin, & McIntyre, 1974) 6
1.3 Motivation for this Study 8
1.4 Aims of this Study 9
1.5 Results and Achievements 10
1.6 Overview of dissertation 11
2 Theory of Decision Making, Evolution of ERP Systems and ERP as an
Aid in Decision Making 13
2.1 Theory of Decision Making 13
2.1.1 Rational Decision Making 18
2.1.2 Making “Good Enough” Decisions: Bounded Rationality
Models. 20
2.1.3 Political Domain Perspectives 22
2.1.4 Creative Decision Making Models 23
2.2 Decision Making Style 26
2.3 Evolution of Enterprise Systems . 27
2.4 Conceptual Model of Enterprise Resource Planning Systems 30
2.4.1 ERP Solutions Architecture 31
2.4.2 ERP Implementation Methodology and Phases 33
2.4.3 ERP II -Extended ERP 34
2.5 ERP as an Aid to Managerial Decision Making 36
2.6 Business Simulation Games Based on ERP as an Aid to Decision
Making. 40
3 Review of Literature and Research Hypotheses 43
3.1 Skill Gaps in Modern Graduates 43
3.2 Critical Importance of 'knowing-doing-being' in Management
Education 44
3.3 Need for ERP Based Education in Management Education Curricula 47
3.4 Design of ERP based Course Curricula 50
3.4.1 Alliance with ERP Partner 52
3.4.2 Project Assignments . 53
3.5 Implementation of Educational ERP Systems 53
3.6 Alternative Approaches to Conduct this Study 54
3.7 Research Gaps 58
3.8 Rese ar ch Hyp o t hes es Formu la t io n 61
4 Research Design, Methodology and Conduct of Surveys 65
4.1 Research Design 65
4.2 Research Methodology 66
4.3 Proposed Path Model for Managerial Decision Making 68
4.4 Conceptualization and Design of Survey Instrument 70
4.5 Sampling Process 75
4.6 Methodology for Conduct of Surveys 76
4.7 Pilot Study 77
4.8 Pre-ERP Course Survey 78
4.9 Post-ERP Course Survey 80
5 Data Compilation and Statistical Data Analysis 83
5.1 Pre-ERP Course Survey Analysis 83
5.1.1 Demographic Details for Pre-ERP Course Survey Responses 83
5.2 Pre+Post Survey Responses Having Undergone ERP with Simulations 85
5.2.1 Pre+ Post ERP Survey Demographics 85
5.2.2 Treatment of Missing Responses 87
5.3 Overall Patterns of Rating 87
5.4 Pre-Survey and Post-Survey Sub-domain Averages 90
5.5 Overall Differences between Post and Pre Survey Scores 91
5.6 Reliability of the Sample Data. 92
5.7 Data Analysis Approach 95
5.7.1 Differences Approach 95
5.8 Net Effect on All and Sub-Domains 95
5.9 Paired t Test of significance 98
5.10 Comparison of Net Effect on sub-domains of Decision Making 100
5.11 Reliability of Data after t Test 103
5.12 Common Method Variance or Common Method Bias 104
5.13 Exploratory Factor Analysis 105
5.13.1 EFA: Results of Rational Domain 106
5.13.2 EFA: Results of Entrepreneurial Domain 108
5.13.3 EFA: Results for Political Domain 109
5.14 Partial Least Square Path Modelling basis XLSTAT 112
6 Conclusions, Contribution and Directions for Future Research 123
6.1 Contributions of this Study 127
6.2 Limitations 129
6.3 Future Research 129
References 131
Appendix 1: Pre-ERP Course Survey Instrument 139
Appendix 2: Post-ERP Course Survey Instrument 147
Appendix 3: Business Process Integration I and II 157
Appendix 4: Feedback and Comments by the Respondents 157
Appendix 5: Harman's Single Factor Test (CMV) 163
Appendix 6: Analyses for Categorical Variables 165
6.1 Gender Differences
6.2 CAT Score Categories
6.3 SNAP Score Categories
6.4 Work Experience Categories
Appendix 7: PLSPM Results Summary- Domain wise 28Sv and 4 DV 173
Ph.D. TH-0080 / KAN