The Consequences of Rating Inflation on Platforms: Evidence from a Quasi-Experiment

Arslan Aziz
Corresponding Author
Arslan Aziz
[email protected]
https://orcid.org/0000-0003-3257-7130
Sauder School of Business, The University of British Columbia, Vancouver, British Columbia V6T 1Z2, Canada;
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,
Hui Li
Hui Li
[email protected]
https://orcid.org/0000-0003-0914-8098
HKU Business School, The University of Hong Kong, Hong Kong;
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,
Rahul Telang
Rahul Telang
[email protected]
Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213
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Corresponding Author

Arslan Aziz

[email protected]

https://orcid.org/0000-0003-3257-7130

Sauder School of Business, The University of British Columbia, Vancouver, British Columbia V6T 1Z2, Canada;

Search for more papers by this author

,

Hui Li

[email protected]

https://orcid.org/0000-0003-0914-8098

HKU Business School, The University of Hong Kong, Hong Kong;

Search for more papers by this author

,

Rahul Telang

[email protected]

Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213

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Published Online:10 Jun 2022https://doi.org/10.1287/isre.2022.1134

Supplemental Material

isre.2022.1134.sm1.pdf

cover image Information Systems Research

Volume 34, Issue 2

June 2023

Pages iii-vii, 399-810, C2

Article Information

Supplemental Material

Metrics

Information

Received:January 26, 2020
Accepted:March 25, 2022
Published Online:June 10, 2022

Copyright © 2022, INFORMS

Cite as

Arslan Aziz, Hui Li, Rahul Telang (2022) The Consequences of Rating Inflation on Platforms: Evidence from a Quasi-Experiment. Information Systems Research 34(2):590-608.

https://doi.org/10.1287/isre.2022.1134

Keywords

Acknowledgments

The authors appreciate the valuable feedback from the senior editor, associate editor, and anonymous reviewers. This research was made possible through the cooperation of the collaborating firm who has chosen to remain anonymous. The authors would like to thank the participants of INFORMS Annual Meeting, Conference on Digital Experimentation, and Conference on Information Systems and Technology for their helpful comments.