Research Trends on Gender Bias in the Workplace: A Bibliometric Analysis
DOI:
https://doi.org/10.58812/wsshs.v4i06.2927Keywords:
Gender Bias, Workplace Discrimination, Gender Inequality, Workplace Diversity, Bibliometric AnalysisAbstract
This study examines research trends related to gender bias in the workplace through a bibliometric analysis. Data were retrieved from the Scopus database, yielding 821 publications published between 2022 and 2026. The analysis employed VOSviewer and Bibliometrix to explore publication patterns, thematic structures, and the evolution of research in this field. The results reveal a substantial growth in the number of publications during the study period, indicating increasing scholarly interest in workplace gender bias. Keyword co-occurrence analysis revealed that research themes have expanded from gender inequality and discrimination to broader topics such as intersectionality, women’s empowerment, leadership, workplace diversity, and job satisfaction. The United States and the United Kingdom were identified as the most influential contributors in terms of publication output and research collaboration. Overall, the study highlights the evolution of research on gender bias in the workplace and provides insights into future research directions as well as the development of more inclusive organizational policies.
References
[1] M. Aria and C. Cuccurullo, “bibliometrix: An R-tool for comprehensive science mapping analysis,” J. Informetr., vol. 11, no. 4, pp. 959–975, 2017, doi: 10.1016/j.joi.2017.08.007.
[2] V. Bhushan and D. Kumar, “Diversity, Equity and Inclusion: Best Practices for Fostering an Inclusive Workplace Culture in the Digital Age,” Econ. Sci., 2024, doi: 10.69889/a2defb90.
[3] A. Castaño, Y. Fontanil, and A. García-Izquierdo, “Why Can’t I Become a Manager? A Systematic Review of Gender Stereotypes and Organizational Discrimination,” Int. J. Environ. Res. Public Health, vol. 16, 2019, doi: 10.3390/ijerph16101813.
[4] Z. Chen, “Ethics and discrimination in artificial intelligence-enabled recruitment practices,” Humanit. Soc. Sci. Commun., vol. 10, pp. 1–12, 2023, doi: 10.1057/s41599-023-02079-x.
[5] N. Donthu, S. Kumar, D. Mukherjee, N. Pandey, and W. M. Lim, “How to conduct a bibliometric analysis: An overview and guidelines,” J. Bus. Res., vol. 133, pp. 285–296, 2021, doi: 10.1016/j.jbusres.2021.04.070.
[6] E. Drage and K. Mackereth, “Does AI Debias Recruitment? Race, Gender, and AI’s ‘Eradication of Difference’,” Philos. Technol., vol. 35, 2022, doi: 10.1007/s13347-022-00543-1.
[7] A. Engidaw, W. Zou, J. Ning, G. Francesco, and H. Jiang, “Perusing the Contemporary Tendencies in Employees’ Job Performance Studies: A Bibliometric Analysis of Research Trends, 2013–2023,” SAGE Open, vol. 15, 2025, doi: 10.1177/21582440251321357.
[8] M. Heilman, “Gender stereotypes and workplace bias,” Res. Organ. Behav., vol. 32, pp. 113–135, 2012, doi: 10.1016/j.riob.2012.11.003.
[9] M. Heilman, S. Caleo, and F. Manzi, “Women at Work: Pathways from Gender Stereotypes to Gender Bias and Discrimination,” Annu. Rev. Organ. Psychol. Organ. Behav., 2023, doi: 10.1146/annurev-orgpsych-110721-034105.
[10] J. Li, T. Wu, Y. Wu, and M. Goh, “Systematic literature review of human–machine collaboration in organizations using bibliometric analysis,” Manag. Decis., 2023, doi: 10.1108/MD-09-2022-1183.
[11] Y. Liang, T. Wu, Z. Zhang, and Y. Wang, “A Systematic Review of Thriving at Work: A Bibliometric Analysis and Organizational Research Agenda,” Asia Pac. J. Hum. Resour., 2024, doi: 10.1111/1744-7941.12419.
[12] M. Maheshwari and U. Lenka, “An integrated conceptual framework of the glass ceiling effect,” J. Organ. Eff. People Perform., 2022, doi: 10.1108/JOEPP-06-2020-0098.
[13] R. Naoum, T. Szakadáti, and G. Balogh, “Artificial Intelligence (AI) in human resource management (HRM): a systematic review of its dual impact on diversity, equity, and inclusion (DEI),” Manag. Rev. Q., 2026, doi: 10.1007/s11301-025-00580-y.
[14] S. Ngonyama and S. Adewumi, “Gender Discrimination, Construction, and Glass Ceiling Effects Among Women Academics in a Higher Education Institution in South Africa: Exploring Alternatives for Women’s Empowerment,” Adm. Sci., 2026, doi: 10.3390/admsci16030117.
[15] J. Reshma and G. Velmurugan, “Organisational and Job Satisfaction: A Decade of Research Trends, Systematic Mapping, and Bibliometric Analysis,” Int. J. Comput. Exp. Sci. Eng., 2024, doi: 10.22399/ijcesen.741.
[16] C. Stamarski and L. Hing, “Gender inequalities in the workplace: the effects of organizational structures, processes, practices, and decision makers’ sexism,” Front. Psychol., vol. 6, 2015, doi: 10.3389/fpsyg.2015.01400.
[17] S. Subramanian, J. Billsberry, and M. Barrett, “A bibliometric analysis of person-organization fit research: significant features and contemporary trends,” Manag. Rev. Q., vol. 73, pp. 1971–1999, 2022, doi: 10.1007/s11301-022-00290-9.
[18] N. J. van Eck and L. Waltman, “Software survey: VOSviewer, a computer program for bibliometric mapping,” Scientometrics, vol. 84, no. 2, pp. 523–538, 2010, doi: 10.1007/s11192-009-0146-3.
[19] L. Waltman, N. J. van Eck, and E. C. M. Noyons, “A unified approach to mapping and clustering of bibliometric networks,” J. Informetr., vol. 4, no. 4, pp. 629–635, 2010, doi: 10.1016/j.joi.2010.07.002.
[20] I. Zupic and T. Čater, “Bibliometric methods in management and organization,” Organ. Res. Methods, vol. 18, no. 3, pp. 429–472, 2015, doi: 10.1177/1094428114562629.
[21] F. Fine, S. Sojo, and B. Lawford-Smith, “Why does workplace gender diversity matter? Justice, organizational benefits, and policy implications,” Soc. Issues Policy Rev., vol. 14, no. 1, pp. 36–72, 2020, doi: 10.1111/sipr.12064.
[22] J. Zhu, Y. Lyu, and Y. Ye, “Workplace diversity and employee outcomes: A systematic review and future research agenda,” Hum. Resour. Manag. Rev., vol. 31, no. 4, 2021, doi: 10.1016/j.hrmr.2020.100775.
[23] R. L. Mor Barak, Managing Diversity: Toward a Globally Inclusive Workplace, 5th ed. Thousand Oaks, CA, USA: Sage Publications, 2022.
[24] A. H. Eagly and L. L. Carli, Through the Labyrinth: The Truth About How Women Become Leaders. Boston, MA, USA: Harvard Business School Press, 2007.
[25] S. A. Hewlett, Executive Presence: The Missing Link Between Merit and Success. New York, NY, USA: Harper Business, 2014.
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Copyright (c) 2026 Verica Sofie Putibungsu, Leni Anjani, Puspita Sari, Tri Na’imah
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