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The interplay between the reviewer’s incentives and the journal’s quality standard

Author

Listed:
  • J. A. Garcia

    (Universidad de Granada)

  • Rosa Rodriguez-Sánchez

    (Universidad de Granada)

  • J. Fdez-Valdivia

    (Universidad de Granada)

Abstract

In this paper, we study the reviewer’s compensation problem in the presence of quality standard considerations. We examine a typical scenario in which a journal has to match the uncertain manuscript quality with a specified quality standard, but it imperfectly observes the reviewer’s efforts. This imperfect observability issue is an edge case where editors cannot tell the quality/effort of the review at all. We find that the journal always chooses an incentive scheme to reward the reviewer for achieving the highest quality outcome. However, this can lead to an inefficiency when the journal’s quality standard is below the highest possible quality outcome. This is so because reviewers usually seek to ensure that the manuscript’s quality acceptably matches the journal’s standard. Therefore, to improve the observability of review outcome achieved and to obtain a better signal of the reviewer’s effort, the journal can have the incentive to increase the quality standard. This, however, is only beneficial for non-extreme costs. In addition, we find that in order to motivate the reviewer to work hard in the situation where review outcomes of high quality are imperfectly observed due to a limited quality standard, the journal must give a larger reward to the reviewer. In sum, we show that a failure to observe the reviewer’s efforts motivates higher quality standards, and quality standard considerations lead to higher-powered reviewer’s compensations.

Suggested Citation

  • J. A. Garcia & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia, 2021. "The interplay between the reviewer’s incentives and the journal’s quality standard," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3041-3061, April.
  • Handle: RePEc:spr:scient:v:126:y:2021:i:4:d:10.1007_s11192-020-03839-1
    DOI: 10.1007/s11192-020-03839-1
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    References listed on IDEAS

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    1. J. A. Garcia & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia, 2019. "The optimal amount of information to provide in an academic manuscript," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1685-1705, December.
    2. Adrian Mulligan & Louise Hall & Ellen Raphael, 2013. "Peer review in a changing world: An international study measuring the attitudes of researchers," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 132-161, January.
    3. J. A. Garcia & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia, 2020. "Confirmatory bias in peer review," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 517-533, April.
    4. S. Thurner & R. Hanel, 2011. "Peer-review in a world with rational scientists: Toward selection of the average," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 84(4), pages 707-711, December.
    5. Flaminio Squazzoni & Claudio Gandelli, 2013. "Opening the Black-Box of Peer Review: An Agent-Based Model of Scientist Behaviour," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(2), pages 1-3.
    6. Michail Kovanis & Raphaël Porcher & Philippe Ravaud & Ludovic Trinquart, 2016. "Complex systems approach to scientific publication and peer-review system: development of an agent-based model calibrated with empirical journal data," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 695-715, February.
    7. Richard Van Noorden, 2013. "Open access: The true cost of science publishing," Nature, Nature, vol. 495(7442), pages 426-429, March.
    8. Jose A. García & Rosa Rodriguez-Sánchez & Joaquín Fdez-Valdivia, 2015. "Adverse selection of reviewers," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(6), pages 1252-1262, June.
    9. Federico Bianchi & Francisco Grimaldo & Giangiacomo Bravo & Flaminio Squazzoni, 2018. "The peer review game: an agent-based model of scientists facing resource constraints and institutional pressures," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1401-1420, September.
    10. Tinglong Dai & Kinshuk Jerath, 2013. "Salesforce Compensation with Inventory Considerations," Management Science, INFORMS, vol. 59(11), pages 2490-2501, November.
    11. Adrian Mulligan & Louise Hall & Ellen Raphael, 2013. "Peer review in a changing world: An international study measuring the attitudes of researchers," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(1), pages 132-161, January.
    12. J. A. Garcia & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia, 2020. "The author–reviewer game," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2409-2431, September.
    13. Paul J Roebber & David M Schultz, 2011. "Peer Review, Program Officers and Science Funding," PLOS ONE, Public Library of Science, vol. 6(4), pages 1-6, April.
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    1. Elena Veretennik & Maria Yudkevich, 2023. "Inconsistent quality signals: evidence from the regional journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3675-3701, June.

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