Generative AI & automation experience of early career workers

Ragui, Khalid (A.A. 2023/2024) Generative AI & automation experience of early career workers. Tesi di Laurea in Key topics in today's marketing, Luiss Guido Carli, relatore Simona Romani, pp. 76. [Master's Degree Thesis]

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Abstract/Index

Area of investigation and related problem. Literature review. Gap in the literature. General purpose of the paper and research question. Methodology. Research design-qualitative study description & sample. Purpose and scope of the study. Study focus. Sampling strategy. Data collection methods. Data analysis and results. Overview of collected data. Data analysis techniques. Reflections on the process. Aggregate dimensions. Figure1: from first-order codes to aggregate dimensions: the impact of AI on job roles, user perceptions, and skill development. The coding process: breaking down the conversations. Key findings. Discussion.

References

Bibliografia: pp. 74-76.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Marketing Digital (LM-77)
Chair: Key topics in today's marketing
Thesis Supervisor: Romani, Simona
Thesis Co-Supervisor: Peverini, Paolo
Academic Year: 2023/2024
Session: Autumn
Deposited by: Alessandro Perfetti
Date Deposited: 05 Jun 2025 10:15
Last Modified: 05 Jun 2025 10:15
URI: https://tesi.luiss.it/id/eprint/42294

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