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Bibliometric review on human resources management and big data analytics

Muhammad Ashraf Fauzi (Faculty of Industrial Management, Universiti Malaysia Pahang, Gambang, Malaysia)
Zetty Ain Kamaruzzaman (Faculty of Industrial Management, Universiti Malaysia Pahang, Gambang, Malaysia)
Hamirahanim Abdul Rahman (Faculty of Industrial Management, Universiti Malaysia Pahang, Gambang, Malaysia)

International Journal of Manpower

ISSN: 0143-7720

Article publication date: 30 December 2022

114

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

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. (2022), "Bibliometric review on human resources management and big data analytics", International Journal of Manpower, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJM-05-2022-0247

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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