Micro transactions and loot boxes: predicting consumer preferences via machine learning
De Gasperis, Lorenzo (A.A. 2019/2020) Micro transactions and loot boxes: predicting consumer preferences via machine learning. Tesi di Laurea in Quantitative methods for management, Luiss Guido Carli, relatore Marco Pirra, pp. 72. [Master's Degree Thesis]
|
PDF (Full text)
Download (1MB) | Preview |
Abstract/Index
Reason for the research study. Scope of the research study. Methodology. Video game market–profit and competition. Sources of revenues and trends. Industry potential and perspectives. Literature review. Defining the term “loot box”. Game as a service. Loot boxes and opaque selling. Predatory dynamics on loot boxes. Loot boxes and gambling: a discussion. Methods. Target sample. Data presentation and demographics. Data analysis. Results.
References
Bibliografia: pp. 48-51.
| 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: | Quantitative methods for management |
| Thesis Supervisor: | Pirra, Marco |
| Thesis Co-Supervisor: | Porchia, Paolo |
| Academic Year: | 2019/2020 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 04 May 2021 12:28 |
| Last Modified: | 04 May 2021 12:40 |
| URI: | https://tesi.luiss.it/id/eprint/29306 |
Downloads
Downloads per month over past year
Repository Staff Only
 |
View Item |
