Artificial Intelligence in Talent Acquisition and Workforce Analytics: A Bibliometric Study of Ethical and Data-Driven Recruitment
Source abstract
Abstract
Artificial intelligence (AI) is increasingly transforming talent acquisition and workforce analytics, raising both efficiency opportunities and ethical concerns. This study aims to map the intellectual structure and evolution of AI-enabled recruitment research with a focus on ethical and data-driven approaches. A bibliometric analysis was conducted on 1893 Scopus-indexed journal articles published between 2014 and 2025 using VOSviewer. The results reveal rapid growth in the field, dominant thematic clusters spanning machine learning applications, HR analytics, and ethical governance, and strong international collaboration led by the United States, China, and the United Kingdom. Findings also highlight the increasing prominence of fairness, transparency, and explainability within AI recruitment research. The study concludes by identifying research gaps and proposing future directions for integrating ethical AI frameworks with workforce analytics to support responsible talent acquisition.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: AI and HR Technologies · Employer Branding and e-HRM · Ethics and Social Impacts of AI
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Arts, Science and Technology, University Canada West, Vancouver, BC V6Z 0E5, Canada
GUS Institute, Global University Systems, London EC1N 2LX, UK
References (18)
Show source-provided references
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