Unveiling Trends and Insights: A Bibliometric Analysis of AI in Human Resource Management

Abstract

Purpose: This paper aims to provide an in-depth bibliometric analysis of the application of Artificial Intelligence (AI) in Human Resource Management (HRM), focusing on identifying emerging trends, core themes, and potential future research directions in the field.

Design/Methodology/Approach: The study analyzes a large corpus of academic publications sourced from the Web of Science database. It identifies the most influential works, authors, journals, and collaborative networks, mapping the intellectual structure and evolution of AI in HRM.

Findings: The analysis reveals a significant increase in research interest in AI-driven HRM practices in recent years, underscoring the growing recognition of AI’s role in enhancing HRM. Additionally, the study highlights the geographical distribution of research and the interdisciplinary nature of AI in HRM.

Originality/Value: This bibliometric analysis offers valuable insights into the current landscape and future prospects of AI in HRM, providing researchers, practitioners, and policymakers with a comprehensive understanding of key developments and future research priorities.

Paper Type: Review of Literature