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- economy, technology, digitalization, innovation, ambidexterity, exploitation, exploration, front-end of innovation, innovation fields, organization, organizational learning, strategic orientation (1)
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With pressure rising in the global economy for companies to adopt AI, responsible business conduct and the consideration of stakeholder interests become more challenging. Since scholars have repeatedly highlighted the gap for research on AI governance, this thesis presents a theoretical contribution to this young research field. Due to the recent emergence of the field, hardly any publications examine AI governance from a theoretical perspective. Therefore, the thesis initially examines the problem structure AI governance seeks to address, defining it as wicked, exceptionally complex, and characterised by high uncertainty levels. Based on this need-oriented analysis, it chooses the Relational Economics as a suitable approach to develop a theoretical AI governance model. Subsequently, it introduces and conceptualises AI within the Relational Economics in the form of an autopoietic system. Building on this first theoretical contribution, the thesis proceeds to specify the Relational Governance approach inherent to the theory for AI and to complement it with self-developed inductive categories, subsuming main research streams AI ethics literature. Lastly, it conducts a systematic literature review of advances in the field of AI governance, with particular regard to the private sector. As a result, the thesis provides a structured overview, within which it clusters its review’s findings, addressing their research focus and level of analysis. With this, it allows for the positioning of the presented theoretical contribution within the research field. The thesis closes with implications for both theory and practice and a discussion of its findings.
