AI-driven recommendation models and business model innovation in music streaming platforms
Barducci, Lorenzo (A.A. 2024/2025) AI-driven recommendation models and business model innovation in music streaming platforms. Tesi di Laurea in Quantitative methods in strategic management, Luiss Guido Carli, relatore Francesco Morelli, pp. 78. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Digital platforms economics, long tail theory and business model innovation. Digital platforms economics. The long tail theory in digital markets. Business model and Business model innovation (BMI). Music streaming platforms as data-driven ecosystems. Music industry and the advent of streaming platforms. Data as a strategic asset for music streaming services. Artificial intelligence and recommendation models in music streaming platforms. The innovated business model of music streaming platforms. Managerial implications. Managerial implications for Digital music service providers (DMSPs). Managerial implications for artists and labels: ethical consequences on music creation.
References
Bibliografia: pp. 64-77. Sitografia: p. 78.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Strategic Management (LM-77) |
| Chair: | Quantitative methods in strategic management |
| Thesis Supervisor: | Morelli, Francesco |
| Thesis Co-Supervisor: | Angelucci, Davide |
| Academic Year: | 2024/2025 |
| Session: | Extraordinary |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 09 Sep 2026 14:24 |
| Last Modified: | 09 Sep 2026 14:24 |
| URI: | https://tesi.luiss.it/id/eprint/46764 |
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