Exploring human resource analytics in transformative organizational contexts: a comprehensive bibliometric analysis

Abstract

Purpose – In recent years, human resource analytics (HRA) has become a key focus area of study and practice within human resource management (HRM). Especially in today's rapidly changing business environment, organizations must increasingly rely on insights from HR data. This study examines the evolution of HRA as a crucial tool for data-driven decision-making in HRM. Design/methodology/approach – A bibliometric review is conducted on research articles related to HRA published in journals listed by the Australian Business Deans Council 2022 and indexed in the Scopus Database. This study uses a systematic approach to evaluate performance metrics, collaboration networks, scientific mapping and thematic developments. Findings – The findings reveal significant growth in HRA research, indicating an increase in academic contributions and a shift in evolving research themes. Key trends include the integration of artificial intelligence, machine learning and advanced analytics of HRA in workforce planning and strategic decision-making. Research limitations/implications – The study provides valuable insights for both academics and practitioners, illustrating the trajectory of HRA research and its significance to strategic HRM. Organizations can utilize HRA to enhance workforce analytics, optimize talent management and improve HR decision-making through data-driven strategies. Originality/value – This research expands the existing knowledge of HRA through a comprehensive bibliometric analysis. It establishes a foundation for future research and practical uses, helping researchers and professionals grasp the development and impact of HRA within contemporary HRM.