Control Modes on Mobile Software Platforms Empirical Studies on the Importance of Informal Control 1st Edition by Tobias Goldbach ISBN ‎ B01KXXB9XK ‎ 978-3658148935

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ISBN 10: ‎ B01KXXB9XK
ISBN 13: ‎ 978-3658148935
Author: Tobias Goldbach 

This work highlights the importance of informal control modes on software platforms regarding their positive effects on third-party developers’ behaviors and outcomes. The author presents studies in the mobile software industry, demonstrating how self-control and clan control positively affect developers’ outcome performance, app quality and intentions to stay on software platforms. Moreover, the studies’ findings shed light on the underlying explanatory mechanisms of why informal control modes can be exercised effectively on software platforms and how especially clan control may be facilitated through developers’ social capital.

Control Modes on Mobile Software Platforms Empirical Studies on the Importance of Informal Control 1st Table of contents:

1. Introduction

1.1 Motivation and Research Questions

1.2 Theoretical Foundation

1.2.1 Software Platform Ecosystems

1.2.2 Control Theory

1.2.3 Thesis Positioning in IS Governance Research

1.3 Structure of the Thesis

2. Control Mechanisms on Software Platforms

2.1 Software-Plattform Ökosysteme

2.2 Plattform-Governance und Kontrolltheorie

2.3 Kontrollmechanismen auf Apples App Store Plattform

2.4 Laborexperiment zur Bedeutung von Selbstkontrolle

2.5 Erkenntnisse und Empfehlungen

3 Formal vs. Self-Control on Software Platforms

3.1 Introduction

3.2 Theoretical Background

3.2.1 Platform Governance and Control Modes

3.2.2 Developer Autonomy on Software Platforms

3.2.3 Developer Behaviors and Performance Outcomes on Software Platforms

3.3 Hypotheses Development

3.3.1 Differential Effect Hypotheses

3.3.2 Mediation Hypotheses

3.3.3 The Relationship between Development Effort and Application Quality

3.4 Research Methodology

3.4.1 Experimental Design, Procedures and Treatments

3.4.2 Subjects

3.4.3 Measurement Characteristics

3.4.4 Post-Hoc Assessment: Expert Ratings of Mobile App Quality

3.5 Results

3.5.1 Manipulation Checks and Control Variables

3.5.2 Comparison of Control Mechanisms’ Differential Effects

3.5.3 Test of the Research Model

3.6 Discussion

3.6.1 Implication for theory and practice

3.6.2 Limitations, Future Research and Conclusion

4. Informal Control and Intrinsic Motivation on Software Platforms

4.1 Introduction

4.2 Theoretical Background

4.2.1 Platform Governance and Informal Control Modes

4.2.2 Third-Party Developers Intrinsic Motivation

4.3 Research Model and Hypotheses

4.3.1 Informal Control Modes and Intrinsic Motivation

4.3.2 Intrinsic Motivation and Developers’ Behaviors and Outcomes

4.4 Research Methodology

4.4.1 Data collection and Sample Description

4.4.2 Measurement of Constructs

4.5 Data Analysis and Results

4.5.1 Assessment of Measurement Model

4.5.2 Hypotheses Testing

4.5.3 Mediation Analysis

4.6 Discussion and Conclusion

4.6.1 Theoretical and Practical Implications

4.6.2 Limitations and Future Work

4.6.3 Conclusion

5. Social Capital and Clan Control on Software Platforms

5.1 Introduction

5.2 Theoretical Background

5.2.1 Platform Control and the Conceptualization of Clan Control

5.2.2 Social Capital on Software Platforms

5.3 Research Model and Hypotheses

5.3.1 Social Capital as Facilitator of Clan Control

5.3.2 Performance Outcomes of Clan Control

5.4 Research Methodology

5.4.1 Data Collection and Sample Description

5.4.2 Measurement Variables and Model

5.5 Data Analysis and Results

5.5.1 Measurement Model Assessment

5.5.2 Hypotheses Testing

5.5.3 Post-Hoc Analysis

5.6 Discussion and Conclusion

5.6.1 Theoretical and Practical Implications

5.6.2 Limitations and Future Work

5.6.3 Conclusion

6. Thesis Conclusion

6.1 Summary of Key Findings

6.2 Theoretical Contributions

6.3 Practical Contributions

6.4 Limitations and Future Research

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Tags: Tobias Goldbach, Control Modes, Mobile Software, Informal Control