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Sequential order as an extraneous factor in editorial decision

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  • Sultan Orazbayev

Abstract

Academic journal editors reject a significant portion of first submissions without sending them out for peer review. This decision, desk rejection, is made to reduce the workload on associate editors and referees, to give the submitting author a head start on revision or pursuit of an alternative venue, as well as to achieve quicker turnaround time for the journal. Desk rejection is a judgement based on the manuscript's perceived quality, impact and fit with the journal's scope. Could extraneous factors which are unrelated to the content of the manuscript, affect the editorial decision? This paper examines whether the sequential order in which manuscripts are submitted to a large academic journal affects the editorial decision. Becoming the first submission on the editor's list of manuscripts to review increases the probability of a desk rejection by up to 7% without any effect on the likelihood of a rejection after peer review.

Suggested Citation

  • Sultan Orazbayev, 2017. "Sequential order as an extraneous factor in editorial decision," Natural Field Experiments 00606, The Field Experiments Website.
  • Handle: RePEc:feb:natura:00606
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    References listed on IDEAS

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    1. 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.
    2. Steven M. Shugan, 2007. "The Editor's Secrets," Marketing Science, INFORMS, vol. 26(5), pages 589-595, 09-10.
    3. R. Preston McAfee, 2016. "Edifying Editing," The American Economist, Sage Publications, vol. 61(1), pages 110-118, March.
    4. Ausloos, Marcel & Nedic, Olgica & Dekanski, Aleksandar & Mrowinski, Maciej J. & Fronczak, Piotr & Fronczak, Agata, 2017. "Day of the week effect in paper submission/acceptance/rejection to/in/by peer review journals. II. An ARCH econometric-like modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 462-474.
    5. Daniel Feenberg & Ina Ganguli & Patrick Gaulé & Jonathan Gruber, 2017. "It’s Good to Be First: Order Bias in Reading and Citing NBER Working Papers," The Review of Economics and Statistics, MIT Press, vol. 99(1), pages 32-39, March.
    6. Maciej J. Mrowinski & Agata Fronczak & Piotr Fronczak & Olgica Nedic & Marcel Ausloos, 2016. "Review time in peer review: quantitative analysis and modelling of editorial workflows," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 271-286, April.
    7. Ausloos, Marcel & Nedic, Olgica & Dekanski, Aleksandar, 2016. "Day of the week effect in paper submission/acceptance/rejection to/in/by peer review journals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 197-203.
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    Cited by:

    1. Yushan Hu & Ben G. Li, 2021. "The production economics of economics production," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 30(1), pages 228-255, February.
    2. Cătălin Emilian Boja & Claudiu Herţeliu & Marian Dârdală & Bogdan Vasile Ileanu, 2018. "Day of the week submission effect for accepted papers in Physica A, PLOS ONE, Nature and Cell," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 887-918, November.

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    More about this item

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • A19 - General Economics and Teaching - - General Economics - - - Other
    • D89 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Other
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General

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