Women’s and Men’s Authorship Experiences: A Prospective Meta-Analysis
George C. Banks, Lisa M. Rasmussen, Scott Tonidandel, Jeffrey M. Pollack, Mary M. Hausfeld, Courtney Williams, Betsy H. Albritton, Joseph A. Allen, Nicolas Bastardoz, John H. Batchelor, Andrew A. Bennett, Roman Briker, Christopher M. Castille, Bart A. De Jong, Elise Demeter, Justin A. DeSimone, James G. Field, Maria Figueroa-Armijos, M. Fernanda Garcia, William L. Gardner, J. Jeffrey Gish, Laura M. Giurge, Claudia N. Gonzalez-Brambila, M. Gloria González-Morales, Lorenz Graf-Vlachy, Roopak Kumar Gupta, Amanda S. Hinojosa, Zion Howard, Sven Kepes, Tine Köhler, Dejun Tony Kong, Markus Langer, Teng lat Loi, Liam P. Maher, Chao Miao, Murad A. Mithani, Lakshmi Balachandran Nair, William G. Obenauer, Ernest H. O’Boyle, Jason R. Pierce, Deborah M. Powell, Roni Reiter-Palmon, Deborah E. Rupp, Srinivasan Tatachari, Jane S. Thomas, Tiia Vissak, Jako Volschenk, Chen Wang, Christopher E. Whelpley, Hans-Georg Wolff, Haley M. Woznyj, Tao Yang
Journal of Management · 2025 · Volume 51 · Issue 4
DOI: 10.1177/01492063251315701
Abstract
The opaqueness of author naming and ordering, when coupled with power dynamics, can lead to a number of disadvantages in academic careers. In this commentary, we investigate gender differences in authorship experiences in a large prospective meta-analytic study (k = 46; n = 3,565; 12 countries). We find that women’s and men’s authorship experiences differ significantly with women reporting greater prevalence of problematic behaviors. We present seven actionable recommendations for improving the receipt and reporting of intellectual credit. Such actions are needed to ensure fairness in authorship, which is one of the most powerful factors in academics’ career outcomes.
Keywords
Meta-Analysis, Quantitative, METHODS, Open science (e.g., transparency in research practices), Diversity, equity, and inclusion, MICRO, Identity (age, disability, gender, national origin, race-ethnicity, sexual orientation, etc.)
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