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Expedited editorial decision in COVID-19 pandemic

Author

Listed:
  • Sun, Zhuanlan
  • Liu, Sheng
  • Li, Yiwei
  • Ma, Chao

Abstract

The COVID-19 pandemic and its resultant lockdowns have interrupted the way scientists live and work. This nevertheless caused an unforeseen impact of COVID-19: the pandemic substantially increased editorial speed. Here, we causally identify the impact of the pandemic on the editorial decision time, based on a quasi-experimental regression discontinuity (RD) design that compares (N = 339,199) papers submitted in the lead-up to and aftermath of the COVID-19 pandemic. We find that editors make acceptance decisions significantly quicker after the pandemic, reducing the editorial decision time of revised papers by 8.9 days on average. The pandemic, however, has unequal impacts on editors. The results reveal a larger reduction in editorial decision time for editors of high-tier journals, in the field of social science, or with busy work schedules. Finally, our findings also allude to the potential for the increase of editorial speed, and will stimulate policy changes in scientific enterprises that strive for accelerated publishing.

Suggested Citation

  • Sun, Zhuanlan & Liu, Sheng & Li, Yiwei & Ma, Chao, 2023. "Expedited editorial decision in COVID-19 pandemic," Journal of Informetrics, Elsevier, vol. 17(1).
    • Handle: RePEc:eee:infome:v:17:y:2023:i:1:s175115772300007x
    DOI: 10.1016/j.joi.2023.101382
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    as
    1. Jian Gao & Yian Yin & Kyle R. Myers & Karim R. Lakhani & Dashun Wang, 2021. "Potentially long-lasting effects of the pandemic on scientists," Nature Communications, Nature, vol. 12(1), pages 1-6, December.
    2. Carol Tenopir & Kenneth Levine & Suzie Allard & Lisa Christian & Rachel Volentine & Reid Boehm & Frances Nichols & David Nicholas & Hamid R. Jamali & Eti Herman & Anthony Watkinson, 2016. "Trustworthiness and authority of scholarly information in a digital age: Results of an international questionnaire," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(10), pages 2344-2361, October.
    3. Wang, Xianwen & Xu, Shenmeng & Peng, Lian & Wang, Zhi & Wang, Chuanli & Zhang, Chunbo & Wang, Xianbing, 2012. "Exploring scientists’ working timetable: Do scientists often work overtime?," Journal of Informetrics, Elsevier, vol. 6(4), pages 655-660.
    4. Thomas Hale & Noam Angrist & Rafael Goldszmidt & Beatriz Kira & Anna Petherick & Toby Phillips & Samuel Webster & Emily Cameron-Blake & Laura Hallas & Saptarshi Majumdar & Helen Tatlow, 2021. "A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker)," Nature Human Behaviour, Nature, vol. 5(4), pages 529-538, April.
    5. Joshua D. Angrist & Jörn-Steffen Pischke, 2017. "Undergraduate Econometrics Instruction: Through Our Classes, Darkly," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 125-144, Spring.
    6. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    7. Hendrik P. Dalen, 2021. "How the publish-or-perish principle divides a science: the case of economists," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1675-1694, February.
    8. Roxane Cohen Silver & E. Alison Holman & Dana Rose Garfin, 2021. "Coping with cascading collective traumas in the United States," Nature Human Behaviour, Nature, vol. 5(1), pages 4-6, January.
    9. Miranda, Ruben & Garcia-Carpintero, Esther, 2018. "Overcitation and overrepresentation of review papers in the most cited papers," Journal of Informetrics, Elsevier, vol. 12(4), pages 1015-1030.
    10. David Card, 2022. "Design-Based Research in Empirical Microeconomics," American Economic Review, American Economic Association, vol. 112(6), pages 1773-1781, June.
    11. Aum, Sangmin & Lee, Sang Yoon (Tim) & Shin, Yongseok, 2021. "Inequality of fear and self-quarantine: Is there a trade-off between GDP and public health?," Journal of Public Economics, Elsevier, vol. 194(C).
    12. Martin S Eichenbaum & Sergio Rebelo & Mathias Trabandt, 2021. "The Macroeconomics of Epidemics [Economic activity and the spread of viral diseases: Evidence from high frequency data]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5149-5187.
    13. Meho, Lokman I., 2019. "Using Scopus’s CiteScore for assessing the quality of computer science conferences," Journal of Informetrics, Elsevier, vol. 13(1), pages 419-433.
    14. Kyle R. Myers & Wei Yang Tham & Yian Yin & Nina Cohodes & Jerry G. Thursby & Marie C. Thursby & Peter Schiffer & Joseph T. Walsh & Karim R. Lakhani & Dashun Wang, 2020. "Unequal effects of the COVID-19 pandemic on scientists," Nature Human Behaviour, Nature, vol. 4(9), pages 880-883, September.
    15. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    16. Sebastian Calonico & Matias D Cattaneo & Max H Farrell, 2020. "Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 192-210.
    17. Dzieżyc, Maciej & Kazienko, Przemysław, 2022. "Effectiveness of research grants funded by European Research Council and Polish National Science Centre," Journal of Informetrics, Elsevier, vol. 16(1).
    18. Ann Mari May & Mary G. McGarvey & Yana Rodgers & Mark Killingsworth, 2021. "Critiques, Ethics, Prestige and Status: A Survey of Editors in Economics," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 47(2), pages 295-318, April.
    19. Guo, Xiaolong & Li, Xiaoxiao & Yu, Yugang, 2021. "Publication delay adjusted impact factor: The effect of publication delay of articles on journal impact factor," Journal of Informetrics, Elsevier, vol. 15(1).
    20. Chodorow-Reich, Gabriel & Coglianese, John, 2021. "Projecting unemployment durations: A factor-flows simulation approach with application to the COVID-19 recession," Journal of Public Economics, Elsevier, vol. 197(C).
    21. Jayson S. Jia & Yiwei Li & Xin Lu & Yijian Ning & Nicholas A. Christakis & Jianmin Jia, 2021. "Triadic embeddedness structure in family networks predicts mobile communication response to a sudden natural disaster," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    22. Baccini, Alberto & Barabesi, Lucio, 2011. "Seats at the table: The network of the editorial boards in information and library science," Journal of Informetrics, Elsevier, vol. 5(3), pages 382-391.
    23. Guido W. Imbens, 2010. "Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 399-423, June.
    24. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    25. Jose A. García & Rosa Rodriguez-Sánchez & Joaquín Fdez-Valdivia, 2015. "The principal-agent problem in peer review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(2), pages 297-308, February.
    26. Prithwiraj (Raj) Choudhury & Cirrus Foroughi & Barbara Larson, 2021. "Work‐from‐anywhere: The productivity effects of geographic flexibility," Strategic Management Journal, Wiley Blackwell, vol. 42(4), pages 655-683, April.
    27. Moed, Henk F., 2010. "Measuring contextual citation impact of scientific journals," Journal of Informetrics, Elsevier, vol. 4(3), pages 265-277.
    28. van Dalen, Hendrik Peter, 2021. "How the publish-or-perish principle divides a science: The case of economists," Other publications TiSEM a6a5a855-bb5a-4d52-a841-3, Tilburg University, School of Economics and Management.
    29. Ma, Chao & Li, Yiwei & Guo, Feng & Si, Kao, 2019. "The citation trap: Papers published at year-end receive systematically fewer citations," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 667-687.
    30. Robin Nelson, 2021. "Prioritize care for a more resilient future," Nature Human Behaviour, Nature, vol. 5(3), pages 295-295, March.
    31. Hodgson, Geoffrey M & Rothman, Harry, 1999. "The Editors and Authors of Economics Journals: A Case of Institutional Oligopoly?," Economic Journal, Royal Economic Society, vol. 109(453), pages 165-186, February.
    32. Xie, Yundong & Wu, Qiang & Zhang, Peng & Li, Xingchen, 2020. "Information Science and Library Science (IS-LS) journal subject categorisation and comparison based on editorship information," Journal of Informetrics, Elsevier, vol. 14(4).
    33. Wang, Yukai & Yang, Zhongkai & Liu, Lanjian & Wang, Xianwen, 2020. "Gender bias in patenting process," Journal of Informetrics, Elsevier, vol. 14(3).
    34. Zhou, Qingqing & Zhang, Chengzhi, 2021. "Breaking community boundary: Comparing academic and social communication preferences regarding global pandemics," Journal of Informetrics, Elsevier, vol. 15(3).
    35. Giuliana Viglione, 2020. "How scientific conferences will survive the coronavirus shock," Nature, Nature, vol. 582(7811), pages 166-167, June.
    36. Wang, Xianwen & Peng, Lian & Zhang, Chunbo & Xu, Shenmeng & Wang, Zhi & Wang, Chuanli & Wang, Xianbing, 2013. "Exploring scientists’ working timetable: A global survey," Journal of Informetrics, Elsevier, vol. 7(3), pages 665-675.
    37. Jaime A. Teixeira da Silva & Panagiotis Tsigaris & Mohammadamin Erfanmanesh, 2021. "Publishing volumes in major databases related to Covid-19," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 831-842, January.
    38. Ante, Lennart, 2022. "The relationship between readability and scientific impact: Evidence from emerging technology discourses," Journal of Informetrics, Elsevier, vol. 16(1).
    39. David Card & Stefano DellaVigna, 2014. "Page Limits on Economics Articles: Evidence from Two Journals," Journal of Economic Perspectives, American Economic Association, vol. 28(3), pages 149-168, Summer.
    40. Liang, Guoqiang & Hou, Haiyan & Ding, Ying & Hu, Zhigang, 2020. "Knowledge recency to the birth of Nobel Prize-winning articles: Gender, career stage, and country," Journal of Informetrics, Elsevier, vol. 14(3).
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    Cited by:

    1. Xie, Yundong & Wu, Qiang & Wang, Yezhu & Hou, Li & Liu, Yuanyuan, 2024. "Does the handling time of scientific papers relate to their academic impact and social attention? Evidence from Nature, Science, and PNAS," Journal of Informetrics, Elsevier, vol. 18(2).
    2. Sun, Zhuanlan & Clark Cao, C. & Ma, Chao & Li, Yiwei, 2023. "The academic status of reviewers predicts their language use," Journal of Informetrics, Elsevier, vol. 17(4).

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