Zatta, Andrea (A.A. 2024/2025) Analytical models for optimizing pricing strategies in the Italian energy market. Tesi di Laurea in Business modeling and planning, Luiss Guido Carli, relatore Donato Iacovone, pp. 98. [Master's Degree Thesis]

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Abstract/Index

Evolution of the Italian energy market and liberalization. Current issues in pricing and churn management. Research objectives and literature gap. Research question and hypotheses. Literature review. Pricing strategies in liberalized energy markets. Market share, competition and pricing strategy. The role of ai, machine learning, and big data in pricing and churn management. Identified gaps in the literature. Introduction and research approach. Data collection. Comparative analysis of interview findings. Predictive models and data analysis techniques to assess the link between market share and repricing. Analysis of collected data and interpretation of results. Correlation check between market share and pricing optimisation. Comparison with theoretical models and international case studies. Practical implications for Italian energy companies.

References

Bibliografia e sitografia: pp. 88-93.

Thesis Type:	Master's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Master's Degree Programs > Master's Degree Program in Management, English language (LM-77)
Chair:	Business modeling and planning
Thesis Supervisor:	Iacovone, Donato
Thesis Co-Supervisor:	Marengo, Luigi
Academic Year:	2024/2025
Session:	Summer
Deposited by:	Alessandro Perfetti
Date Deposited:	24 Oct 2025 12:19
Last Modified:	24 Oct 2025 12:19
URI:	https://tesi.luiss.it/id/eprint/43543

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