The integration of artificial intelligence into corporate decision-making process: opportunities and challenges

Ferrini, Massimiliano Francesco (A.A. 2024/2025) The integration of artificial intelligence into corporate decision-making process: opportunities and challenges. Tesi di Laurea in Managerial decision making, Luiss Guido Carli, relatore Luigi Marengo, pp. 100. [Master's Degree Thesis]

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Abstract/Index

Decision making theoriea: theoretical foundations. Decision making: defining aspects. Classical rationality vs. bounded rationality. Cognitive biases and heuristics. Prescriptive, descriptive and normative models. Convergence between AI and decision making. Machine learning, deep learning, reinforcement learning. Expert systems and symbolic reasoning. Generative AI and large-language models (focus 2023-2025). Decision support systems (DSS). Decision intelligence. Human-in-the-loop vs. Full automation. Decision-making performance metrics (accuracy, utility, fairness). Sector applications. Decision making via AI in business & operations. AI decision making and geopolitics. The US case. USA: national security and geopolitical interest: the institution of the committee on foreign investments in the US (CFIUS). TikTok’s strategic algorithm and Chinese political capitalism. The American interpretation of the TikTok case: the digital war.

References

Bibliografia: pp. 97-100.

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: Zattoni, Alessandro
Academic Year: 2024/2025
Session: Autumn
Deposited by: Alessandro Perfetti
Date Deposited: 24 Feb 2026 13:28
Last Modified: 24 Feb 2026 13:28
URI: https://tesi.luiss.it/id/eprint/44948

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