Zannella, Christian (A.A. 2023/2024) Innovative approaches in preventing food supply waste. Tesi di Laurea in Deep tech, robotics, biotech, clean tech, agritech, foodtech & global food systems, Luiss Guido Carli, relatore Francesco D'Ausilio, pp. 101. [Master's Degree Thesis]

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Abstract/Index

Food waste overview. Introduction of food waste phenomenon. Global environmental, economic, and social impacts of food waste. The issue of food waste in the European and national contexts. Integrating circular economy principles to mitigate food waste. Technology's contribution to reducing food waste and promoting circular economy at every stage of the food supply chain. Research questions and goal of the study. Methodology. Research design. Data collection. Literature review. Definition of Internet of things (IoT) and artificial intelligence (AI). The role of IoT and AI for food waste prevention in the agri-food industry. Consumer acceptance of eco-friendly smart home services (ESHS). Empirical analysis. Italy in the European context: a comparative analysis of the adoption and growth of AI and IoT technologies. Case study 1: Tuidi (Delphi). Case study 2: Vitesy (Shelfy).

References

Bibliografia: pp. 98-101.

Thesis Type:	Master's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Master's Degree Programs > Master's Degree Program in Marketing (LM-77)
Chair:	Deep tech, robotics, biotech, clean tech, agritech, foodtech & global food systems
Thesis Supervisor:	D'Ausilio, Francesco
Thesis Co-Supervisor:	Laura, Luigi
Academic Year:	2023/2024
Session:	Autumn
Deposited by:	Alessandro Perfetti
Date Deposited:	28 Apr 2025 14:04
Last Modified:	28 Apr 2025 14:04
URI:	https://tesi.luiss.it/id/eprint/41862

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