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      Gender Inequality in Research Productivity During the COVID-19 Pandemic

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          Abstract

          Problem definition: We study the disproportionate impact of the lockdown as a result of the COVID-19 outbreak on female and male academic research productivity in social science. Academic/practical relevance: The lockdown has caused substantial disruptions to academic activities, requiring people to work from home. How this disruption affects productivity and the related gender equity is an important operations and societal question. Methodology: We collect data from the largest open-access preprint repository for social science on 41,858 research preprints in 18 disciplines produced by 76,832 authors across 25 countries over a span of two years. We use a difference-in-differences approach leveraging the exogenous pandemic shock. Results: Our results indicate that, in the 10 weeks after the lockdown in the United States, although total research productivity increased by 35%, female academics’ productivity dropped by 13.2% relative to that of male academics. We also show that this intensified productivity gap is more pronounced for assistant professors and for academics in top-ranked universities and is found in six other countries. Managerial implications: Our work points out the fairness issue in productivity caused by the lockdown, a finding that universities will find helpful when evaluating faculty productivity. It also helps organizations realize the potential unintended consequences that can arise from telecommuting.

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          Science faculty's subtle gender biases favor male students.

          Despite efforts to recruit and retain more women, a stark gender disparity persists within academic science. Abundant research has demonstrated gender bias in many demographic groups, but has yet to experimentally investigate whether science faculty exhibit a bias against female students that could contribute to the gender disparity in academic science. In a randomized double-blind study (n = 127), science faculty from research-intensive universities rated the application materials of a student-who was randomly assigned either a male or female name-for a laboratory manager position. Faculty participants rated the male applicant as significantly more competent and hireable than the (identical) female applicant. These participants also selected a higher starting salary and offered more career mentoring to the male applicant. The gender of the faculty participants did not affect responses, such that female and male faculty were equally likely to exhibit bias against the female student. Mediation analyses indicated that the female student was less likely to be hired because she was viewed as less competent. We also assessed faculty participants' preexisting subtle bias against women using a standard instrument and found that preexisting subtle bias against women played a moderating role, such that subtle bias against women was associated with less support for the female student, but was unrelated to reactions to the male student. These results suggest that interventions addressing faculty gender bias might advance the goal of increasing the participation of women in science.
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            Does Working from Home Work? Evidence from a Chinese Experiment *

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              Unequal effects of the COVID-19 pandemic on scientists

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                Author and article information

                Contributors
                Journal
                Manufacturing & Service Operations Management
                M&SOM
                Institute for Operations Research and the Management Sciences (INFORMS)
                1523-4614
                1526-5498
                March 2022
                March 2022
                : 24
                : 2
                : 707-726
                Affiliations
                [1 ]Goizueta Business School, Emory University, Atlanta, Georgia 30322
                [2 ]Harvard Business School, Harvard University, Cambridge, Massachusetts 02163
                Article
                10.1287/msom.2021.0991
                c34536d8-81bd-4d81-9c13-ac08d0a1157d
                © 2022
                History

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