From potential to performance: how ecosystem conditions shape the scalability of Italian AI start-ups

Domma, Laura (A.A. 2024/2025) From potential to performance: how ecosystem conditions shape the scalability of Italian AI start-ups. Tesi di Laurea in Governance of digital markets and technologies in Europe, Luiss Guido Carli, relatore Jose Carlos Mariategui Ezeta, pp. 88. [Master's Degree Thesis]

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Abstract/Index

Literature review. History of artificial intelligence. Start-ups. Start-up entrepreneurial ecosystem determinants. Regional analysis of AI start-ups: Europe, heating up but still facing challenges. The Italian landscape for artificial intelligence start-ups. Research design. Research questions, variables, hypotheses. Qualitative research. Single case study methodology. Semi-structured interviews. Analysis and discussion.

References

Bibliografia: pp. 77-86.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Policies and Governance in Europe, English language (LM-62)
Chair: Governance of digital markets and technologies in Europe
Thesis Supervisor: Mariategui Ezeta, Jose Carlos
Thesis Co-Supervisor: Manzella, Gian Paolo
Academic Year: 2024/2025
Session: Autumn
Deposited by: Alessandro Perfetti
Date Deposited: 16 Mar 2026 16:36
Last Modified: 16 Mar 2026 16:36
URI: https://tesi.luiss.it/id/eprint/45102

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