Extracto
Contents
List of abbreviations
List of figures
1 Introduction
2 Theoretical Background
2.1 Trust
2.1.1 Definition and conceptualization
2.1.2 Initial trust and continuous trust
2.2 Why AI startups have a hard time building trust in their smart service systems
2.2.1 Service Systems
2.2.2 Smart Service Systems
2.3 Strategic spheres of activity and hypotheses
2.3.1 “Transparency”
2.3.2 “Recognition by third parties”
2.3.3 “Points of contact”
3 Method & Data
3.1 Method: An abductive approach drawing on QCA
3.2 Framework
3.3 Coding
3.4 Sample
4 Discussion of results
4.1 Description of results
4.2 Discussion of hypotheses
4.3 Additional findings
4.4 Limitations
5 Conclusion and outlook
6 References
Appendix A
Affidavit (Eidesstattliche Erklärung)
- Citar trabajo
- Lobosch Pannewitz (Autor), 2017, How do AI startups build trust in their smart service systems?, Múnich, GRIN Verlag, https://www.grin.com/document/450622
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