Effective store geo-localization in fast-food business models: the case of DONTS expansion in Rome
Lo Storto, Francesco (A.A. 2022/2023) Effective store geo-localization in fast-food business models: the case of DONTS expansion in Rome. Tesi di Laurea in Corporate strategy, Luiss Guido Carli, relatore Alessandro Zattoni, pp. 83. [Master's Degree Thesis]
|
PDF (Full text)
Download (1MB) | Preview |
Abstract/Index
Introduction to store localization in retail business modeling. Literature review. Innovation in business model through geolocation. Importance of data in geolocation. Benefits of geolocation use in retail BM. Models for geolocation. Research gap: localization with both demand and offering variables constraints. Industry overview and methodology. Fast food industry. Trend innovating business models in fast food industry. DONTS: innovations in the business model. Strategy design for optimal store location. Findings. Results setting. Results analysis.
References
Sitografia e bibliografia: pp. 64-69.
| 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) |
| Outstanding Thesis: | Department of Business and Management |
| Chair: | Corporate strategy |
| Thesis Supervisor: | Zattoni, Alessandro |
| Thesis Co-Supervisor: | Valentini, Giovanni |
| Academic Year: | 2022/2023 |
| Session: | Summer |
| Additional Information: | La tesi è vincitrice del Premio "Tesi d'Eccellenza" 2022/2023 ed è stata pubblicata online dalla Luiss University Press nella collana Working Paper. |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 11 Jan 2024 09:13 |
| Last Modified: | 25 Jul 2024 12:14 |
| URI: | https://tesi.luiss.it/id/eprint/37478 |
Downloads
Downloads per month over past year
Repository Staff Only
 |
View Item |
