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The author–reviewer game

Author

Listed:
  • J. A. Garcia

    (Universidad de Granada)

  • Rosa Rodriguez-Sánchez

    (Universidad de Granada)

  • J. Fdez-Valdivia

    (Universidad de Granada)

Abstract

At the peer review stage, a natural metric to measure the performance of the author is the quality of the revised manuscript, while a natural metric to measure the performance of the reviewer is the mismatch cost between the manuscript quality and the journal standard. This mismatch refers to incorrectly or unsuitably matching the manuscript quality and the journal standard. The matching between a submission and the journal standard seeks to ensure that the manuscript quality acceptably matches the journal standard. However, we show that journals will not be able to align the interests of the author and reviewer with its own interests because these metrics create a distortion in the reviewer’s incentives. The motivational aspects of traditional peer review mechanisms are not sufficient in relation to the reviewer’s effort required to reach the best level for the journal, because this method of compensation for the reviewer side is overly mismatch cost focused. In this paper, we also show that if this compensation is extended to reward the reviewer based on the manuscript quality achieved, the journal will be able to align the interests of all parties.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:124:y:2020:i:3:d:10.1007_s11192-020-03559-6
    DOI: 10.1007/s11192-020-03559-6
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    References listed on IDEAS

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    1. Marco Seeber, 2020. "How do journals of different rank instruct peer reviewers? Reviewer guidelines in the field of management," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1387-1405, March.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Tinglong Dai & Kinshuk Jerath, 2013. "Salesforce Compensation with Inventory Considerations," Management Science, INFORMS, vol. 59(11), pages 2490-2501, November.
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    Cited by:

    1. J. A. Garcia & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia, 2021. "The editor-manuscript game," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4277-4295, May.
    2. 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.
    3. Vecchio, Riccardo, 2022. "Fostering the debate among scholars to support the advancement of knowledge in the food-related consumer research: A commentary," Economia agro-alimentare / Food Economy, Italian Society of Agri-food Economics/Società Italiana di Economia Agro-Alimentare (SIEA), vol. 24(2), September.
    4. J. A. García & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia, 2022. "Can a paid model for peer review be sustainable when the author can decide whether to pay or not?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1491-1514, March.
    5. Riccardo Vecchio, 2022. "Fostering the debate among scholars to support the advancement of knowledge in the food-related consumer research: A commentary," Economia agro-alimentare, FrancoAngeli Editore, vol. 24(2), pages 1-15.
    6. J. A. Garcia & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia, 2021. "Quality censoring in peer review," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 825-830, January.

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