This master thesis explores the application of generative Artificial Intelligence in management with a focus on strategic decision-making in the VUCA world. It illuminates how generative AI can be used as a powerful tool for analyzing complex data and supporting decision-making processes. Generative AI provides potentially effective tools that can analyze complex data and support decision-making processes. The challenge consists of adapting traditional management methods to make informed decisions in an increasingly complex and uncertain business environment. The first substantive section is dedicated to the theoretical foundations of AI. Here, the basic concepts and principles of AI are detailed. Another part of the work focuses on strategic decision-making. In this section, it is examined how AI can be integrated into the process of strategic decision-making. Finally, the work includes an empirical analysis, which is based on real data and cases, to investigate the practical application and impacts of AI in management. From a methodological perspective, a case study with expert interviews is conducted to explore the practical use and interplay of humans and AI. The results of the work demonstrate that generative AI has the potential to optimize strategic decision-making processes. It can support knowledge management and reduce cognitive biases, which often lead to suboptimal decisions. In addition, the work identifies both opportunities and challenges associated with human-AI collaboration. It also illuminates ethical aspects and presents an approach to integrating AI into decision-making processes under VUCA conditions. In summary, this master thesis provides an overview of the role of generative AI in management. It emphasizes the complexity and relevance of the topic and offers valuable insights for executives who wish to integrate AI into their decision-making processes. The results illustrate how generative AI can be used as a powerful tool to support decisions.
Künstliche Intelligenz im Management: Die Rolle von generativer KI bei strategischen Entscheidungen
Gschwandtner, M. (Author). 2024
Student thesis: Master's Thesis