Unveiling scholarly insights: A bibliometric analysis of literature on gender bias at the workplace

Published

17-06-2024

DOI:

https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.3.45

Keywords:

Gender bias, Gender discrimination, Bibliometric analysis, Systematic literature review, Data visualization.

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Issue

Section

SECTION D: COGNITIVE NEUROSCIENCE, PSYCHOLOGY AND HUMAN BEHAVIOUR IN SOCIETY, AND SUSTAINABLE DEVELOPMENT

Authors

  • Sawitri Devi Institute of Management Studies and Research, Maharshi Dayanand University, Rohtak, Haryana.
  • Raj Kumar Institute of Management Studies and Research, Maharshi Dayanand University, Rohtak, Haryana.

Abstract

Gender bias and discrimination in the workplace remain significant global challenges, impacting individuals and organizations. Despite heightened awareness and scholarly focus, a comprehensive, up-to-date evaluation of the literature’s scientific impact and citation trends is missing. This research article addresses this gap through a bibliometric analysis from 2000 to 2023, assessing gender bias’s scientific significance, citations, and pre-publication information. Utilizing tools like RStudio, VOS viewer, Dimensions analytics, and MS Excel, the study analyzes manuscripts from the Dimensions database. The analysis reveals notable trends, showing a steady rise in publications from 2003, with fluctuations in 2002 and 2008-2011, stability from 2012-2015, and a significant surge from 2016-2023, peaking in 2019-2022. The United States leads in publication quantity and collaboration. Key topics such as "Economics and Identity," the "glass cliff phenomenon," and the "climate for women in academic science" dominate citations. Prominent journals like "Building A New Leadership Ladder" and "Plos One" highlight the interdisciplinary nature of gender bias research. Influential contributors like Geffner CJ, Kim S, and Ryan MK are acknowledged for their dedication. This study underscores the interdisciplinary reach of gender bias research across Human Society, Commerce, Law, Biomedical Sciences, and Psychology, offering valuable insights into publication trends, collaborative networks, and thematic developments. The findings emphasize the need for continued exploration and collaboration to address gender-related challenges in professional settings.

How to Cite

Sawitri Devi, & Raj Kumar. (2024). Unveiling scholarly insights: A bibliometric analysis of literature on gender bias at the workplace. The Scientific Temper, 15(03), 2756–2765. https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.3.45

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Author Biography

Raj Kumar, Institute of Management Studies and Research, Maharshi Dayanand University, Rohtak, Haryana.

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