A Bibliometric Analysis of the Role of Artificial Intelligence and Machine Learning in Human Resource Management

Abstract

This paper tries to retrospect the mounting application of machine learning (ML) and artificial intelligence (AI) in the human resource management area. The document applies bibliometric analysis and uses relational techniques to explore dimensions of documents in the field. The results highlight publication trends, most impactful authors, countries and institutes in the research area. The science mapping along with co-citation and bibliometric coupling analysis revealed major developments in the field. The thematic mapping and trend analysis highlighted the past and emerging trends towards significant and impactful research in the areas of robotics, big data, AI and data analytics. This paper sets the base for future researchers by coordinating and combining various past researches to help in understanding the evolution of ML and AI in human resource management and expansion of knowledgebase.

Citation

Chaudhary, A. and Khandelwal, S. (2024), "A Bibliometric Analysis of the Role of Artificial Intelligence and Machine Learning in Human Resource Management", Misra, R.K., Purankar, S.A., Goel, D., Kapoor, S. and Sharma, R.B. (Ed.) Resilient Businesses for Sustainability (Advanced Series in Management, Vol. 34A), Emerald Publishing Limited, Leeds, pp. 119-137. https://doi.org/10.1108/S1877-63612024000034A011