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Pricing and Online Platform Design /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Pricing and Online Platform Design // Titing Cui.
Author:
Cui, Titing,
Description:
1 electronic resource (193 pages)
Notes:
Source: Dissertations Abstracts International, Volume: 86-04, Section: B.
Contained By:
Dissertations Abstracts International86-04B.
Subject:
Subscriptions. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31575209
ISBN:
9798342129640
Pricing and Online Platform Design /
Cui, Titing,
Pricing and Online Platform Design /
Titing Cui. - 1 electronic resource (193 pages)
Source: Dissertations Abstracts International, Volume: 86-04, Section: B.
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.
English
ISBN: 9798342129640Subjects--Topical Terms:
1437640
Subscriptions.
Pricing and Online Platform Design /
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Advisors: Linardi, Sera; Gal-Or, Esther; Shang, Jennifer; Mirchandani, Prakash; Hamilton, Michael L.
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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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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31575209
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