Cui, Titing
(2024)
Pricing and Online Platform Design.
Doctoral Dissertation, University of Pittsburgh.
(Unpublished)
Abstract
Revenue management and pricing is an evolving discipline that is rapidly expanding with the rise of online marketplaces. For many online marketplaces, pricing strategy is a central part of the platform's design. In this thesis we employ methods from operations research, stochastic optimization, and economics to model online platforms and optimize their operations. Throughout we highlight the unique operational characteristics of these online platforms, and how they require new and sophisticated models to study them. Specifically, this dissertation focuses on the study of emerging pricing and online platform design problems in three contexts. First, we consider the problem of market segmentation and pricing under the assumption that the seller has trained a regression model that maps customer features to valuations. Second, we study the pricing strategy for online dating platforms, where we analyze the profit and welfare trade-offs associated with different length subscriptions. Third and finally, we consider the design and optimization of rating system for platforms, focusing on how to extend rating systems to mitigate issues resulting from stale reviews.
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Details
| Item Type: |
University of Pittsburgh ETD
|
| Status: |
Unpublished |
| Creators/Authors: |
|
| ETD Committee: |
|
| Date: |
3 July 2024 |
| Date Type: |
Publication |
| Defense Date: |
17 June 2024 |
| Approval Date: |
3 July 2024 |
| Submission Date: |
3 July 2024 |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Number of Pages: |
178 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
Joseph M. Katz Graduate School of Business > Business Administration |
| Degree: |
PhD - Doctor of Philosophy |
| Thesis Type: |
Doctoral Dissertation |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
revenue management and pricing, online platforms, personalized pricing, matchmaking, rating systems |
| Date Deposited: |
03 Jul 2024 15:45 |
| Last Modified: |
03 Jul 2024 15:45 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/46653 |
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