JOURNAL ARTICLE

Blinded versus Unblinded Review: A Field Study on the Equity of Peer-Review Processes.

  • Published In: Management Science (INFORMS), 2026, v. 72, n. 4. P. 2702 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Pleskac, Timothy J.; Kyung, Ellie J.; Chapman, Gretchen B.; Urminsky, Oleg 3 of 3

Abstract

This article reports on a large-scale field experiment comparing single-blind review (where reviewer identities are hidden) and double-blind review (where both reviewer and author identities are hidden) in the context of 530 submissions to the Society for Judgment and Decision Making’s annual conference. The study assessed the two review systems on reliability, fairness, and validity, finding that both exhibited moderate reliability with only about 40% overlap in top-rated submissions, indicating substantial noise in the review process. Single-blind review favored submissions with more senior coauthors and first authors who were PhD students or research scientists, while disadvantaging Asian first authors; male first authors received slightly higher ratings in both conditions, especially under double-blind review. Neither review system’s ratings predicted talk quality, attendance, or audience engagement, but both similarly predicted poster quality and eventual publication, suggesting limited differences in validity. The findings highlight that double-blind review is not a complete solution to inequities present in single-blind review, and that including author identities does not substantially improve reliability or validity but may introduce biases, underscoring the need for evidence-based approaches to designing merit-based evaluation systems.

Additional Information

  • Source:Management Science (INFORMS). 2026/04, Vol. 72, Issue 4, p2702
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2026
  • ISSN:0025-1909
  • DOI:10.1287/mnsc.2022.01646
  • Accession Number:192910465
  • Copyright Statement:Copyright of Management Science (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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