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Massachusetts Institute of Technology

Complexity and obfuscation in evolving platform pricing

Abstract

dc:description.abstract

Two-sided platforms include some of the largest and fastest-growing businesses of the past decade. They are composed of three parts: two distinct groups of end-users and a platform. Two-sided platforms face unique challenges such as design, pricing, governance rules etc. The pricing decision specifically has been the subject of rigorous research. As the value that each group derives from using the platform depends on the size of the other side of the market, the platform's pricing strategies of the two groups are closely linked. A platform pricing strategy includes decisions about which side of the platform to charge, how much to charge them and an overall approach to attract and benefit both sides of the platform. Though the study of platform strategies has been quite popular among many economists, they have focused on analyzing the strategies from a static perspective. Because platforms have evolved their pricing strategies over time to be competitive in the market and have faced challenges, the process deserves attention. This thesis therefore analyzes the evolution of pricing strategies of platforms such as eBay (sellers and buyers) and Uber (riders and drivers) and the challenges they overcame to stay ahead in the market. We study that eBay initially used a complex pricing strategy but simplified it to compete in the market with Amazon and other e-commerce firms. Uber, in contrast, began with a simple "taxi-meter" pricing but changed their pricing strategy to account for the multiple variables such as demand, supply, location etc. The study concludes that to stay relevant in the market and to be successful, platforms need to evolve their pricing strategy over time depending on various market conditions. Though there is not one fixed pattern of how platforms evolve their pricing, their strategies consider simplicity, data availability and transparency while making pricing decisions. Future platforms can use these learnings while designing their pricing strategies.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Engineering and Management Program
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Shruti, Banda
Advisor dc:contributor.advisor
  • Catherine Tucker.

Subjects

dc:subject × 2

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/118561
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/118561

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Shruti, Banda. Complexity and obfuscation in evolving platform pricing. Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118561