CONCEPTUAL ANALYSIS article
Front. Sociol.
Sec. Work, Employment and Organizations
Volume 10 - 2025 | doi: 10.3389/fsoc.2025.1605748
How to Advance Employment Discrimination Research in an Era of Big Data and Analytics
Provisionally accepted
- DePaul University, Chicago, Illinois, United States
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This paper examines recent research on employment discrimination and addresses basic issues concerning who should be the focal subjects of employment discrimination research and which search terms should be examined. This article proposes that the way forward in employment discrimination research is using empirical legal scholarship and various large databases that support a more holistic approach to examining the different subjects of employment discrimination and the various search terms used to identify employment discrimination issues. This article explains how empirical legal scholarship, content analysis, and thematic analysis can be utilized to better understand employment discrimination. The paper concludes with propositions and recommendations for future research, including an intersectional focus.
Keywords: big data analytics, Content Analysis, empirical legal scholarship, Employment Discrimination Research, mixed methods research, Intersectionality, NVivo, qualitative research
Received: 29 Apr 2025; Accepted: 20 Oct 2025.
Copyright: © 2025 Lopez, LaVan and Martin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Helen LaVan, hlavan@depaul.edu
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