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Observing algorithmic marketplaces in-the-wild

Observing algorithmic marketplaces in-the-wild In this letter, we briefly summarize two recent works from our group that use observational data to study the mechanisms used by two large markets. First, we examine Uber's surge price algorithm, and observe that its incentive model may not be effective at changing driver behavior. Second, we study the adoption of dynamic pricing strategies by sellers on Amazon Marketplace, and investigate how these strategies interact with Amazon's "Buy Box" matching algorithm. We make our data available to the research community. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGecom Exchanges Association for Computing Machinery

Observing algorithmic marketplaces in-the-wild

Chen, Le; Wilson, Christo
ACM SIGecom Exchanges , Volume 15 (2): 6 – Feb 24, 2017
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Publisher
Association for Computing Machinery
Copyright
Copyright © 2017 Authors
ISSN
1551-9031
eISSN
1551-9031
DOI
10.1145/3055589.3055594
Publisher site
See Article on Publisher Site

Abstract

In this letter, we briefly summarize two recent works from our group that use observational data to study the mechanisms used by two large markets. First, we examine Uber's surge price algorithm, and observe that its incentive model may not be effective at changing driver behavior. Second, we study the adoption of dynamic pricing strategies by sellers on Amazon Marketplace, and investigate how these strategies interact with Amazon's "Buy Box" matching algorithm. We make our data available to the research community.

Journal

ACM SIGecom Exchanges – Association for Computing Machinery

Published: Feb 24, 2017

Keywords: Amazon

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