Strategic integration of artificial intelligence in automotive sector: effects on corporate results and direction

Vergantino, Flavia Pia Alessandra (A.A. 2024/2025) Strategic integration of artificial intelligence in automotive sector: effects on corporate results and direction. Tesi di Laurea in Corporate governance, Luiss Guido Carli, relatore Giovanni Fiori, pp. 68. [Master's Degree Thesis]

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Abstract/Index

Literature review. Understanding corporate outcomes. The rise of industry 4.0 and smart manufacturing. Digital transformation in the Automotive sector. Impact of AI on financial and social corporate results. AI and strategic alignment in corporate planning. Research methodology in AI applications for the Automotive sector. Strategic objectives and guiding questions on AI implementation. Sample selection and data collection procedures within the Automotive industry. Variable classification and measurement criteria in AI performance studies. Analytical models and research hypotheses on AI impact. Analysis of AI impact on Automotive corporate performance. Overview of collected data on AI initiatives. Effects of artificial intelligence adoption on Automotive business performance. Interpretation and managerial implications in the Automotive AI context. Critical discussion of key findings related to AI in Automotive. Comparison with existing literature on AI and Automotive innovation. Recommendations for Automotive managers leveraging AI technologies. Directions in Automotive AI research. Summary of insights from AI implementation in Automotive companies. Methodological limitations and contextual challenges in Automotive AI studies. Prospects for further research and development in Automotive AI applications.

References

Bibliografia: pp. 58-68.

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: Fiori, Giovanni
Thesis Co-Supervisor: Zattoni, Alessandro
Academic Year: 2024/2025
Session: Autumn
Deposited by: Alessandro Perfetti
Date Deposited: 26 Mar 2026 10:47
Last Modified: 26 Mar 2026 10:47
URI: https://tesi.luiss.it/id/eprint/45271

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