AI-driven dynamic pricing in ride-hailing services
Regragui, Omar (A.A. 2024/2025) AI-driven dynamic pricing in ride-hailing services. Tesi di Laurea in Introduction to computer programming, Luiss Guido Carli, relatore Alessio Martino, pp. 40. [Bachelor's Degree Thesis]
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Abstract/Index
The rise and controversy of dynamic pricing. Literature context: what we know so far. Theoretical framework of dynamic pricing. Definition and evolution of dynamic pricing. Traditional vs. AI-driven pricing models. Economic and behavioral theories behind dynamic pricing. Ethical and regulatory challenges in AI pricing. AI in ride-hailing services. History of pricing models in uber and LYFT. Evolution of Uber’s surge pricing algorithm. How AI optimizes pricing in real-time. Impact on drivers and revenue models. Consumer responses to AI-driven pricing. Perceived fairness and trust in algorithmic pricing. Behavioral spillovers: tipping, loyalty and usage patterns. Consumer resistance and platform reactions. Structural and cultural sensitivities in consumer reaction.
References
Bibliografi: pp. 35-39.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Introduction to computer programming |
| Thesis Supervisor: | Martino, Alessio |
| Academic Year: | 2024/2025 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 14 Nov 2025 10:47 |
| Last Modified: | 14 Nov 2025 10:47 |
| URI: | https://tesi.luiss.it/id/eprint/43853 |
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