A mitigation framework to overcome challenges in data value chains: a comprehensive case study of the data ecosystem of the Food and agriculture organization of the United Nations
Lona Masriera, Marian (A.A. 2022/2023) A mitigation framework to overcome challenges in data value chains: a comprehensive case study of the data ecosystem of the Food and agriculture organization of the United Nations. Tesi di Laurea in Digital ecosystems, Luiss Guido Carli, relatore Ioannis Kallinikos, pp. 196. [Master's Degree Thesis]
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Abstract/Index
Theoretical background. The role of data. Empirical study. The data ecosystem of the food and agriculture organization of the United Nations: a case study. Discussion.
References
Bibliografia: pp. 152-158.
| 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: | Digital ecosystems |
| Thesis Supervisor: | Kallinikos, Ioannis |
| Thesis Co-Supervisor: | Bontadini, Filippo |
| Academic Year: | 2022/2023 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 19 Dec 2023 15:05 |
| Last Modified: | 19 Dec 2023 15:05 |
| URI: | https://tesi.luiss.it/id/eprint/37367 |
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