The impact of generative AI on content marketing strategies
Musella, Salvatore (A.A. 2023/2024) The impact of generative AI on content marketing strategies. Tesi di Laurea in Omnichannel approach to retailing, Luiss Guido Carli, relatore Angelo Baccelloni, pp. 135. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Artificial intelligence and generative AI. A brief evolution history of artificial intelligence. The generative AI. The modal classification and algorithm models of generative AI. The generative AI industry trends. The convergence of generative AI and media: transforming content creation and strategy. The rise of AIGC. The application of AIGC in content advertising industry. The application of generative AI in the media industry. Risk alongside the AIGC application. Exploring organizational adoption of AIGC: data collection, analysis, and strategic insights. The research question. Research design and methodology. Analysis and discussion of findings. Managerial implications, limitations, and future research directions.
References
Bibliografia: pp. 119-131.
Thesis Type: | Master's Degree Thesis |
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Institution: | Luiss Guido Carli |
Degree Program: | Master's Degree Programs > Master's Degree Program in Marketing Digital (LM-77) |
Chair: | Omnichannel approach to retailing |
Thesis Supervisor: | Baccelloni, Angelo |
Thesis Co-Supervisor: | Peverini, Paolo |
Academic Year: | 2023/2024 |
Session: | Extraordinary |
Deposited by: | Alessandro Perfetti |
Date Deposited: | 15 Jul 2025 14:25 |
Last Modified: | 15 Jul 2025 14:25 |
URI: | https://tesi.luiss.it/id/eprint/42932 |
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