The AI revolution in management: navigating ordinary and extraordinary operations with data-driven decisions
Oliverio, Francesco Paolo (A.A. 2024/2025) The AI revolution in management: navigating ordinary and extraordinary operations with data-driven decisions. Tesi di Laurea in Managerial decision making, Luiss Guido Carli, relatore Luigi Marengo, pp. 129. [Master's Degree Thesis]
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Abstract/Index
Overview of decision-making theories relevant to management and evolution. Ai’s role in extraordinary and ordinary operations: current research and gaps. Bias, ethical concerns and human oversight in AI-supported decisions. AI’s role in mergers and acquisitions (M&A). AI-driven solutions for crisis prevention and management. Highlighting the importance of human approval. Current role of AI In ordinary operations. Potential benefits of AI adoption in ordinary operations. Current challenges and future expectations. AI integration in ordinary and extraordinary operations. Policy requirements for ethical implementation. Human-AI collaboration possibilities. Future research directions and final reflections.
References
Bibliografia: pp. 122-129.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Management, English language (LM-77) |
| Chair: | Managerial decision making |
| Thesis Supervisor: | Marengo, Luigi |
| Thesis Co-Supervisor: | Homberg, Fabian Kurt Falk |
| Academic Year: | 2024/2025 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 25 Sep 2025 13:56 |
| Last Modified: | 25 Sep 2025 13:56 |
| URI: | https://tesi.luiss.it/id/eprint/43314 |
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