People Analytics and Human Resource Development – Research Landscape and Future Needs Based on Bibliometrics and Scoping Review

This study provides a comprehensive examination of the current research landscape of People Analytics (PA) from Human Resource Development (HRD) perspectives. By leveraging the methodologies of bibliometrics and topic modeling, the paper aims to illuminate key trends and emerging themes. By conducti...

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Bibliographic Details
Published in:Human resource development review 2024-03, Vol.23 (1), p.30-57
Main Authors: Yoon, Seung Won, Han, Seung-hyun, Chae, Chungil
Format: Article
Language:English
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Summary:This study provides a comprehensive examination of the current research landscape of People Analytics (PA) from Human Resource Development (HRD) perspectives. By leveraging the methodologies of bibliometrics and topic modeling, the paper aims to illuminate key trends and emerging themes. By conducting a comparative analysis of topics and grouped themes from topic modeling and clusters from bibliocoupling, the study reveals a convergence in research focuses. This convergence is particularly evident in areas such as workforce planning and management, data-informed decision-making, applying analytics to various HR functions, and emphasizing the ethical and societal implications of data analytics in HR. The paper also identifies gaps and future research needs for HRD research in the current PA landscape and discusses fertile grounds for future research.
ISSN:1534-4843
1552-6712
DOI:10.1177/15344843231209362