Bibliometric review on human resources management and big data analytics
International Journal of Manpower
ISSN: 0143-7720
Article publication date: 30 December 2022
Issue publication date: 22 November 2023
Abstract
Purpose
This study aims to provide an in-depth understanding of big data analytics (BDA) in human resource management (HRM). The emergence of digital technology and the availability of large volume, high velocity and a great variety of data has forced the HRM to adopt the BDA in managing the workforce.
Design/methodology/approach
This paper evaluates the past, present and future trends of HRM through the bibliometric analysis of citation, co-citation and co-word analysis.
Findings
Findings from the analysis present significant research clusters that imply the knowledge structure and mapping of research streams in HRM. Challenges in BDA application and firm performances appear in all three bibliometric analyses, indicating this subject’s past, current and future trends in HRM.
Practical implications
Implications on the HRM landscape include fostering a data-driven culture in the workplace to reap the potential benefits of BDA. Firms must strategically adapt BDA as a change management initiative to transform the traditional way of managing the workforce toward adapting BDA as analytical tool in HRM decision-making.
Originality/value
This study presents past, present and future trends in BDA knowledge structure in human resources management.
Keywords
Acknowledgements
This paper forms part of a special section “Methodological Advances in HR Research”, guest edited by Dr Lin Xiu and Prof Thomas Lange.
Funding: This work has been funded by Universiti Malaysia Pahang Flagship Grant: Made in UMP (Grant no PDU213001-3).
Citation
Fauzi, M.A., Kamaruzzaman, Z.A. and Abdul Rahman, H. (2023), "Bibliometric review on human resources management and big data analytics", International Journal of Manpower, Vol. 44 No. 7, pp. 1307-1327. https://doi.org/10.1108/IJM-05-2022-0247
Publisher
:Emerald Publishing Limited
Copyright © 2022, Emerald Publishing Limited