AI Agents for enterprise transformation: adoption, impact and measurement: the JAKALA case

Di Muro, Giacomo (A.A. 2024/2025) AI Agents for enterprise transformation: adoption, impact and measurement: the JAKALA case. Tesi di Laurea in Managerial decision making, Luiss Guido Carli, relatore Luigi Marengo, pp. 79. [Master's Degree Thesis]

Full text for this thesis not available from the repository.

Abstract/Index

Literature review and context. Introduction to the topic. Definitions and basic principles. Evolution and adoption of AI in enterprises. Challenges and barriers to adoption. The new paradigm of AI agents. Future perspectives and research gaps. Business impact and managerial implications of AI agents. From adoption to impact: the “AI value gap”. Benefits and opportunities—and how process redesigns realizes them. Economic impact and performance metrics. Organizational change and workforce transformation. Governance, risks and responsible AI. Cross-industry applications and lessons learned. Scaling strategies and the road ahead. Case study. Introduction to JAKALA. Research design and methodology.

References

Bibliografia: pp. 73-76.

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: Collazzo, Pablo
Academic Year: 2024/2025
Session: Autumn
Deposited by: Alessandro Perfetti
Date Deposited: 29 May 2026 12:36
Last Modified: 29 May 2026 12:36
URI: https://tesi.luiss.it/id/eprint/45999

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