Zulli, Francesco (A.A. 2024/2025) Board governance in the age of artificial intelligence: how board expertise, oversight and strategic adaptation influence firm performance. Tesi di Laurea in Corporate governance, Luiss Guido Carli, relatore Alessandro Zattoni, pp. 64. [Master's Degree Thesis]

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Abstract/Index

Board governance and AI adoption. Corporate governance theory and the impact of AI. The agency problem: information asymmetry and technical opacity in algorithmic governance. From monitoring to advising: Board capital and resource dependence theory. Internal board dynamics and governance architecture. Open issues in AI governance and ownership dynamics. Research model and hypotheses development. AI governance and market value (H1). Proprietary concentration and type II conflicts. The moderating role of family ownership. Data and methodology. Research context and sample selection. Variable measurement. Sample structure and data sources. Perimeter of sample analysis and justification. Analysis of the results and validation of the model. Econometric logic and treatment of variables. Data profile and initial findings. Preliminary reports and model validation. Regression results and hypothesis testing.

References

Bibliografia: pp. 54-63.

Thesis Type:	Master's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Master's Degree Programs > Master's Degree program in Corporate Finance, English language (LM-77)
Chair:	Corporate governance
Thesis Supervisor:	Zattoni, Alessandro
Thesis Co-Supervisor:	Magnanelli, Barbara Sveva
Academic Year:	2024/2025
Session:	Extraordinary
Deposited by:	Alessandro Perfetti
Date Deposited:	18 Jun 2026 14:36
Last Modified:	18 Jun 2026 14:36
URI:	https://tesi.luiss.it/id/eprint/46226

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