Analyzing mainstream consumer preferences for intelligent hardware and software configurations in new energy vehicles: a conjoint analysis approach
Liu, Yueqianzi (A.A. 2023/2024) Analyzing mainstream consumer preferences for intelligent hardware and software configurations in new energy vehicles: a conjoint analysis approach. Tesi di Laurea in Business modeling and planning, Luiss Guido Carli, relatore Donato Iacovone, pp. 81. [Master's Degree Thesis]
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Abstract/Index
Literature review. Theoretical background. Methodology. Research design. Questionnaire design and data collection. Descriptive analysis. Results and findings. Conjoint analysis results. Parameter estimation of the regression model. Segmentation analysis.
References
Bibliografia: pp. 72-74.
| 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: | Mazzù, Marco Francesco |
| Academic Year: | 2023/2024 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 09 Jan 2025 13:52 |
| Last Modified: | 09 Jan 2025 13:52 |
| URI: | https://tesi.luiss.it/id/eprint/40864 |
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