Technology Acceptance in the Context of Digital Transformation Studies on How and Why People Use Connected Objects.

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Bibliographic Details
Online Access: Full text (MCPHS users only)
Main Author: Marz, David
Format: Electronic eBook
Language:English
Published: Göttingen : Cuvillier Verlag, 2021
Series:Göttinger Wirtschaftsinformatik.
Subjects:
Local Note:ProQuest Ebook Central

MARC

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245 1 0 |a Technology Acceptance in the Context of Digital Transformation  |h [electronic resource] :  |b Studies on How and Why People Use Connected Objects. 
260 |a Göttingen :  |b Cuvillier Verlag,  |c 2021. 
300 |a 1 online resource (277 p.). 
490 1 |a Göttinger Wirtschaftsinformatik ;  |v v.108 
500 |a Description based upon print version of record. 
500 |a Appendix. 
505 0 |a Intro -- List of Figures -- List of Tables -- Acronyms -- A. Foundation -- I. Introduction -- I.1 Motivation -- I.2 Research Agenda -- I.3 Structure of the Dissertation -- I.4 Research Context and Design -- I.5 Contributions -- II. Theoretical Background -- II.1 Widespread Diffusion of Digital, Connected Objects -- II.2 Digital Life -- II.3 Technology Acceptance -- B. Exploring Technology Acceptance in the Context of Digital Transformation -- I. Setting the Context: Digital Transformation 
505 8 |a 1 Study 1: A Systematic Review of the Literature on Digital Transformation: Insights and Implications for Strategy and Organizational Change -- 1.1 Introduction -- 1.2 Research Design -- 1.3 Findings -- 1.4 Discussion of Findings -- 1.5 Implications -- 1.6 Conclusion -- 1.7 Appendix A: Research Matrix -- Contextual Conditions -- 1.8 Appendix B: Research Matrix -- Mechanisms -- 1.9 Appendix C: Research Matrix -- Outcomes -- II. Studies on Individual Behavior in the Digital Age -- 1 Study 2: Digital Connectedness Expectancy: Construct Development and Scale Validation -- 1.1 Introduction 
505 8 |a 1.2 Theoretical Background -- 1.3 Methodology -- 1.4 Discussion -- 1.5 Appendix A: Items Used in the Questionnaires -- 1.6 Appendix B: Sample Characteristics -- 2 Study 3: A Needs-Affordances-Satisfaction Perspective on the Use of Connected Objects -- 2.1 Introduction -- 2.2 Conceptual Framework -- 2.3 Theory and Hypotheses -- 2.4 Methodology -- 2.5 Data Analysis and Results -- 2.6 Discussion of Findings -- 2.7 Implications -- 2.8 Limitations and Avenues for Future Research -- 2.9 Appendix A: Survey Items Used in Questionnaires -- 2.10 Appendix B: Sample Characteristics 
505 8 |a 3 Study 4: Handling the Efficiency-Personalization Trade-Off in Service Robotics: A Machine-Learning Approach -- 3.1 Introduction -- 3.2 Background -- 3.3 Research Setting -- 3.4 A Division-of-Labor Application for Resolving the Efficiency- Personalization Trade-Off in Autonomous Vehicles -- 3.5 Evaluation -- 3.6 Discussion and Implications -- 3.7 Appendix A: Additional Empirical Study on the Efficiency-Personalization Trade-Off -- 3.8 Appendix B: Literature Review on Big Data Analytics and Autonomous Vehicles -- 3.9 Appendix C: Vehicle Data and Preprocessing 
505 8 |a 3.10 Appendix D: Tuning LSTM Hyperparameters -- 3.11 Appendix E: Details Regarding the Evaluation of the Prediction Modules Using the Carsharing Data Set -- 3.12 Appendix F: Variables used for Personalization in Prior Studies -- C. Contributions -- I. Findings -- I.1 Summary of Findings -- I.2 Synthesis of Findings: A Framework for the Study of Connected Objects -- II. Implications, Limitations and Opportunities for Future Research -- II.1 Implications for Research -- II.2 Implications for Practice -- II.3 Limitations -- II.4 Opportunities for Future Research -- III. Concluding Remarks 
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