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Expedited editorial decision in COVID-19 pandemic.
Sun, Zhuanlan; Liu, Sheng; Li, Yiwei; Ma, Chao.
  • Sun Z; Institute of High-Quality Development Evaluation, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.
  • Liu S; Department of Marketing and International Business, Lingnan University, Tuen Mun, Hong Kong, China.
  • Li Y; Department of Marketing and International Business, Lingnan University, Tuen Mun, Hong Kong, China.
  • Ma C; School of Economics and Management, Southeast University, Nanjing 211189, China.
J Informetr ; 17(1): 101382, 2023 Feb.
Article in English | MEDLINE | ID: covidwho-2236006
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: J Informetr Year: 2023 Document Type: Article Affiliation country: J.joi.2023.101382

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: J Informetr Year: 2023 Document Type: Article Affiliation country: J.joi.2023.101382