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The Hawthorne effect in journal peer review

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  • Lutz Bornmann

    (Max Planck Society, Administrative Headquarters)

Abstract

Purpose—this paper aims to look at the Hawthorne effect in editorial peer review. Design/methodology/approach—discusses the quality evaluation of refereed scholarly journals. Findings—a key finding of this research was that in the peer review process of one and the same manuscript, reviewers or editors, respectively, arrive at different judgments. This phenomenon is named as “Hawthorne effect” because the different judgements are dependent on the specific conditions under which the peer review process at the individual journals takes place. Originality/value—provides a discussion on the quality evaluation of scholarly journals.

Suggested Citation

  • Lutz Bornmann, 2012. "The Hawthorne effect in journal peer review," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 857-862, June.
    • Handle: RePEc:spr:scient:v:91:y:2012:i:3:d:10.1007_s11192-011-0547-y
    DOI: 10.1007/s11192-011-0547-y
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    References listed on IDEAS

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    1. Bernd Pulverer, 2010. "Transparency showcases strength of peer review," Nature, Nature, vol. 468(7320), pages 29-31, November.
    2. Lipworth, Wendy L. & Kerridge, Ian H. & Carter, Stacy M. & Little, Miles, 2011. "Journal peer review in context: A qualitative study of the social and subjective dimensions of manuscript review in biomedical publishing," Social Science & Medicine, Elsevier, vol. 72(7), pages 1056-1063, April.
    3. Benda, Wim G.G. & Engels, Tim C.E., 2011. "The predictive validity of peer review: A selective review of the judgmental forecasting qualities of peers, and implications for innovation in science," International Journal of Forecasting, Elsevier, vol. 27(1), pages 166-182.
    4. Benda, Wim G.G. & Engels, Tim C.E., 2011. "The predictive validity of peer review: A selective review of the judgmental forecasting qualities of peers, and implications for innovation in science," International Journal of Forecasting, Elsevier, vol. 27(1), pages 166-182, January.
    5. Joshua S. Gans & George B. Shepherd, 1994. "How Are the Mighty Fallen: Rejected Classic Articles by Leading Economists," Journal of Economic Perspectives, American Economic Association, vol. 8(1), pages 165-179, Winter.
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    Citations

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    Cited by:

    1. J. A. García & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia, 2015. "The author–editor game," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 361-380, July.
    2. Rosa Rodriguez-Sánchez & J. A. García & J. Fdez-Valdivia, 2018. "Editorial decisions with informed and uninformed reviewers," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 25-43, October.
    3. Bornmann, Lutz & Williams, Richard, 2017. "Can the journal impact factor be used as a criterion for the selection of junior researchers? A large-scale empirical study based on ResearcherID data," Journal of Informetrics, Elsevier, vol. 11(3), pages 788-799.
    4. Cortés-Sánchez, Julián David, 2019. "Bibliometric outlook of the most cited documents in business, management and accounting in Ibero-America," SocArXiv cqa3z, Center for Open Science.
    5. Emre Özel, 2024. "What is Gender Bias in Grant Peer review?," Working Papers halshs-03862027, HAL.
    6. O. Mryglod & R. Kenna & Yu. Holovatch & B. Berche, 2013. "Comparison of a citation-based indicator and peer review for absolute and specific measures of research-group excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 767-777, December.

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