Smart city data space governance: an analysis of European projects
Cortese, Claudia (A.A. 2024/2025) Smart city data space governance: an analysis of European projects. Tesi di Laurea in Data-driven innovation, Luiss Guido Carli, relatore Niloofar Kazemargii, pp. 107. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Literature review. Core concepts of data ecosystems. Governance in data ecosystems. Business models and incentives in data ecosystems. Benefits and challenges of data ecosystems in smart cities. Typologies and meta-models of data ecosystems. Smart cities and European projects. Research method. Research design. Case selection. Data collection. Analytical approach. Reliability and limitations. Findings. Descriptive overview of the dataset. Stakeholder dynamics and actor roles. Challenges and governance obstacles. Success stories and enablers. Patterns in governance models. Discussion. Revisiting the research questions and objectives. Theoretical reflections on data ecosystems. Governance models in practice. Stakeholder roles and network centrality. Challenges in implementing data spaces. Conditions for success: lessons from the field. Comparative synthesis: Data Space Radar vs. FIWARE. Policy implications and strategic recommendations.
References
Bibliografia: pp. 100-107.
| 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: | Kazemargii, Niloofar |
| Thesis Co-Supervisor: | Sinaimeri, Blerina |
| Academic Year: | 2024/2025 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 08 Jan 2026 15:52 |
| Last Modified: | 08 Jan 2026 15:52 |
| URI: | https://tesi.luiss.it/id/eprint/44645 |
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