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E-raamat: Enterprise Software Sourcing Performance: The Impact Logic of On-Demand, On-Premises, and In-House Software on Dynamic Fit and Process-Level Performance Outcomes in Client Organizations

  • Formaat: PDF+DRM
  • Sari: Progress in IS
  • Ilmumisaeg: 02-Nov-2015
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783319239262
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  • Formaat: PDF+DRM
  • Sari: Progress in IS
  • Ilmumisaeg: 02-Nov-2015
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783319239262

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This book opens the "black box" of software sourcing by explaining how dynamic software alignment is established and how it impacts business performance outcomes. By investigating how software-sourcing modes are related to value generation in the post-implementation phase, it shows researchers and managers the impact logic of on-demand, on-premises, and in-house software on dynamic fit and process-level performance outcomes in a client organization. It describes dynamic IT alignment as the key to success in a fast-moving digital world with software-as-a-service on the rise and highlights the fact that today companies can choose between developing software in-house (make) or sourcing packaged systems in an on-premises (buy) or an on-demand (lease) mode. This book is the first to explicitly compare these sourcing arrangements with each other in terms of alignment and business performance.

Introduction.- Theoretical and Conceptual Foundation.- Preliminary Research Model.- Research Design.- Descriptive Findings.- Single-Case Analysis.- Cross-Case Synthesis.- Summary and Discussion.- Conclusion.
1 Introduction
1(10)
1.1 Problem Statement
1(2)
1.2 Research Objectives
3(3)
1.3 Research Design
6(2)
1.4 Study Organization
8(3)
2 Theoretical and Conceptual Foundation
11(46)
2.1 Definition of Core Concepts
11(8)
2.1.1 Representational View of Information Technology
12(1)
2.1.2 Software Sourcing Modes
13(4)
2.1.3 Information Technology Alignment
17(2)
2.2 Literature Review
19(35)
2.2.1 Theoretical Lenses in Software and Sourcing Research
20(4)
2.2.2 The Value of Information Technology
24(9)
2.2.3 Previous Contribution on Software and Sourcing Performance
33(9)
2.2.4 Previous Contribution on Software Alignment
42(6)
2.2.5 The Dynamic Alignment Process
48(6)
2.3 Summary
54(3)
3 Preliminary Research Model
57(22)
3.1 Logical Structures of Research Models
57(2)
3.2 Transforming the Dynamic Alignment Process into Alignment Clusters
59(11)
3.2.1 Specification of Concepts Related to the Dynamic Alignment Process
60(3)
3.2.2 Definition of Alignment Clusters and Gestalts
63(5)
3.2.3 Summary
68(2)
3.3 Development of a Preliminary Research Model
70(6)
3.3.1 The Relationship Between Alignment Gestalts and Dynamic Fit
70(1)
3.3.2 The Impact of Dynamic Fit
71(1)
3.3.3 The Impact of Software Sourcing
72(2)
3.3.4 Summary
74(2)
3.4 Summary
76(3)
4 Research Design
79(18)
4.1 Philosophical Stance of Study
79(3)
4.2 Conceptualization of Fit
82(1)
4.3 Data Collection and Data Analysis
83(13)
4.3.1 Sampling Procedure
84(2)
4.3.2 Collection and Interpretation of Qualitative Data
86(3)
4.3.3 Introduction to Test Statistics of Categorical Data
89(7)
4.4 Summary
96(1)
5 Descriptive Findings
97(10)
5.1 Field Study Companies and Empirical Profiles
97(3)
5.2 Descriptive Analysis of Constructs
100(5)
5.3 Summary
105(2)
6 Single-Case Analysis
107(30)
6.1 Technological Push Innovation
108(5)
6.1.1 Pioneer Innovator Gestalt
108(2)
6.1.2 Technology Push Non-gestalt
110(2)
6.1.3 Summary
112(1)
6.2 Push-Pull Innovation
113(8)
6.2.1 Ambidextrous Innovator Gestalt
114(2)
6.2.2 Push-Pull Non-gestalt
116(3)
6.2.3 Summary
119(2)
6.3 Business Pull Innovation
121(6)
6.3.1 Cautious Innovator Gestalt
121(2)
6.3.2 Business Pull Non-gestalt
123(3)
6.3.3 Summary
126(1)
6.4 No Innovation
127(5)
6.4.1 Conservative Gestalt
128(1)
6.4.2 No Innovation Non-gestalt
129(2)
6.4.3 Summary
131(1)
6.5 Summary
132(5)
7 Cross-Case Synthesis
137(36)
7.1 Investigation and Validation of Initial Propositions
137(11)
7.1.1 Relationship Between Alignment Gestalts and Dynamic Fit
138(2)
7.1.2 The Impact of Dynamic Fit on Business Process Performance
140(2)
7.1.3 Impact of Dynamic Fit on Sourcing Performance
142(6)
7.1.4 Summary
148(1)
7.2 Extension and Refinement of Research Model
148(22)
7.2.1 Emerging Relationship Between Sourcing and Business Process Performance
149(6)
7.2.2 The Role of Software Sourcing Modes
155(7)
7.2.3 Moderating Effects of Control on Software Structure Change
162(5)
7.2.4 Summary
167(3)
7.3 Summary
170(3)
8 Summary and Discussion
173(16)
8.1 Explanatory Research Model on Software Sourcing Value
173(3)
8.2 Theoretical Contributions
176(4)
8.3 Managerial Implications
180(2)
8.4 Limitations and Future Research
182(7)
9 Conclusion
189(2)
Appendix A Literature Search Strategy 191(2)
Appendix B Exemplified Items Related to the Dependent Constructs 193(2)
Appendix C Properties of Qualitative Study Based on Dube and Pare (2003) 195(2)
Appendix D High-Level Interview Guideline 197(2)
Appendix E List of Exemplified Evidence Based on Dibbern et al. (2008) 199(8)
Appendix F Chi-Square Distribution Table 207(2)
Appendix G 2 × 3 × 2 Three-Way Contingency Tables for Propositions 6a and 6b 209(2)
References 211
Marko Nöhren is researcher in the area of digital business models, software-as-a-service, business-ITalignment, IT outsourcing, and IT value. He holds a PhD from the University of Mannheim, BusinessSchool. Marko Nöhren was visiting researcher at Queensland University of Technology in Brisbane,Australia. The German Federal Ministry of Education and Research (BMBF), and the GermanAcademic Exchange Service (DAAD) have supported his research