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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