Using voice analytics to explain podcast e-WOM
Spagnol, Aurora (A.A. 2020/2021) Using voice analytics to explain podcast e-WOM. Tesi di Laurea in Business and marketing analytics, Luiss Guido Carli, relatore Francisco Javier Villarroel Ordenes, pp. 30. [Bachelor's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Phenomenon. Managerial relevance and problems. Previous research and research gaps. Approach of the thesis to study research gaps. Expected contributions. Conceptual framework. Literature review. Hypotheses. Method. Results. Discussion.
References
Bibliografia e sitografia: pp. 27-30.
Thesis Type: | Bachelor's Degree Thesis |
---|---|
Institution: | Luiss Guido Carli |
Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
Chair: | Business and marketing analytics |
Thesis Supervisor: | Villarroel Ordenes, Francisco Javier |
Academic Year: | 2020/2021 |
Session: | Summer |
Deposited by: | Alessandro Perfetti |
Date Deposited: | 15 Oct 2021 07:41 |
Last Modified: | 15 Oct 2021 07:41 |
URI: | https://tesi.luiss.it/id/eprint/30432 |
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