This publication-based dissertation analyzes the importance of artificial intelligence (AI) and technological entrepreneurship on firm level over six chapters. The essence of this dissertation consists of four independent research papers developed for publication in academic journals whose peer review process is double-blinded. The first chapter offers a general introduction to the subject matter and provides a summary of the four research papers in this dissertation. The second chapter is a systematic literature review that focuses on the importance of AI in strategic management. The third chapter is a research paper that examines the significance of technology-driven entrepreneurship activities and provides crucial lessons from small and medium-sized enterprises operating in the manufacturing industry. The fourth chapter is a research paper that empirically examines how top management can encourage and facilitate AI-enabled business model innovation. The fifth chapter comprises a teaching case study and provides and understanding of how to implement an AI-based analytical tool in a firm. The sixth chapter outlines the main findings and contributions of this dissertation.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:87295 |
| Date | 06 October 2023 |
| Creators | Yigit, Anil |
| Contributors | Kanbach, Dominik K., Stubner, Stephan, HHL Leipzig Graduate School of Management |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
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