Internationalizing in the era of big data: how can big data help the internationalization process among Italian Small medium enterprises (SMEs)?

Rullo, Carla (A.A. 2021/2022) Internationalizing in the era of big data: how can big data help the internationalization process among Italian Small medium enterprises (SMEs)? Tesi di Laurea in Corporate strategy, Luiss Guido Carli, relatore Maria Jell-Ojobor, pp. 131. [Master's Degree Thesis]

Full text for this thesis not available from the repository.

Abstract/Index

Explanation of key phenomenon. Internationalization: a definition. The benefits and drawbacks of internationalization. Big data: key points. The new paradigm of big data. Big data in social sciences and digital humanities. Critical points of big data management. Strategic approaches to using big data. Big data analytics cycle. Implications for Small-medium enterprises. A case study: methodology and data. Methodology: definition and rationale. Methodology: research design. Methodology: preparing for the case. Methodology: collecting case study evidence. Methodology: analyzing case study evidence. Methodology: reporting the case study and sharing. Case study: Intelligent export report (IER) and its methodology. Preliminary observations. Interview to the creator of the IER. Interview to potential users of the IER. Results and discussion. Data collected from the interview to the creator of the IER. Data collected from the potential users of big data. Emerging current situation. Future perspectives: novelties in the organizational setting. Future perspectives: new roles emerging.

References

Bibliografia e sitografia: pp. 99-104.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree program in Global Management and Politics, English language (LM-77)
Chair: Corporate strategy
Thesis Supervisor: Jell-Ojobor, Maria
Thesis Co-Supervisor: Sinaimeri, Blerina
Academic Year: 2021/2022
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 29 Nov 2022 08:43
Last Modified: 29 Nov 2022 08:43
URI: https://tesi.luiss.it/id/eprint/34123

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