Defining AI-driven innovation ecosystems: a comparative analysis of Shanghai and Berlin and the role of start-ups and SMEs

Trombetta, Emiliano (A.A. 2024/2025) Defining AI-driven innovation ecosystems: a comparative analysis of Shanghai and Berlin and the role of start-ups and SMEs. Tesi di Laurea in Data-driven innovation, Luiss Guido Carli, relatore Ginevra Assia Antonelli, pp. 178. [Master's Degree Thesis]

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Abstract/Index

Innovation ecosystems: theories and frameworks. Historical development of the concept. Defining key-concepts of innovation ecosystems: a literature review. Entrepreneurial ecosystems vs. Innovation ecosystems. Key enablers and obstacles of IE. AI in the landscape of innovation. Definition and scope of AI. AI as a general-purpose technology. AI opportunities and challenges. Opportunities and challenges for SMEs’ AI adoption. Start-ups in the age of AI. Artificial intelligence and innovation ecosystems. Defining AI-driven innovation ecosystems. Key concepts and components of AI-driven innovation ecosystems. The role of start-ups and SMEs in AI-driven ecosystems. Enablers and barriers for developing AI-driven innovation ecosystems. Comparative AI governance: EU vs China. Regional patterns of SMEs’ AI deployment: Europe vs China. Regional patterns of start-ups AI deployment: Europe vs China. Comparative analysis of AI-driven IE in Shanghai and Berlin. Case study selection and methodological approach. Shanghai’s AI-driven innovation ecosystem. Berlin’s AI-driven innovation ecosystem. Comparative analysis: enablers, barriers and governance in Shanghai vs Berlin.

References

Bibliografia: pp. 145-173.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91)
Chair: Data-driven innovation
Thesis Supervisor: Antonelli, Ginevra Assia
Thesis Co-Supervisor: Spagnoletti, Paolo
Academic Year: 2024/2025
Session: Autumn
Deposited by: Alessandro Perfetti
Date Deposited: 29 Jan 2026 14:19
Last Modified: 29 Jan 2026 14:19
URI: https://tesi.luiss.it/id/eprint/44712

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