Exploring the Trends of Artificial Intelligence in Recruitment: A Bibliometric Study

Document Type : Research Paper

Author

Symbiosis Institute of Management Studies, Symbiosis International (Deemed University), Pune, India

Abstract

Artificial Intelligence (AI) as a field has recently evolved as a transformative force in recruitment. Numerous empirical, conceptual, and exploratory studies have been conducted that indicate the novel ways organizations identify, select, and attract top talent. Nevertheless, no network analysis or attempt to map the literature scientifically in the domain has been done in the past. Hence, the paper intends to showcase the trends in Artificial Intelligence and Recruitment research through knowledge and conceptual structures. An analysis using bibliometric tools in artificial intelligence and recruitment was conducted. A sample of 1450 documents was extracted from the Scopus database. This was based on a search strategy determined by the author. An application that is equipped with a bibliometric package was installed. This software enabled the analysis of the dataset, and various themes, patterns, and trends were identified based on the authors, countries, and citations. Results show that the artificial intelligence and recruitment domain need direction. There is also a pressing need for interdisciplinary research in this area. The article provides some crucial insights on areas that need further inquiry. The conceptual and social network structure depicts an upward trend in terms of this area of research. There is a growing demand for Talent Acquisition practitioners and Recruiters with Artificial Intelligence skill sets. The current paper only had the Scopus Database as its backdrop. Future researchers could use multiple databases, such as the Web of Science, and conduct a comparative study. A systematic literature review would widen the scope and help identify some uncharted niche territories of recruitment and artificial intelligence. The novelty of the paper lies in the unexplored intersection of artificial intelligence and recruitment, as no bibliometric studies have been conducted on this subject before.

Keywords

References

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International Journal of Supply and Operations Management
Volume 11, Issue 3
August 2024
Pages 351-366

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