Bibliometric review on human resources management and big data analytics

Muhammad Ashraf Fauzi, Zetty Ain Kamaruzzaman and Hamirahanim Abdul Rahman

International Journal of Manpower, 2022, vol. 44, issue 7, 1307-1327

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: Big data analytics; Human resource management; Bibliometric analysis; Knowledge management (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (text/html)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (application/pdf)
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eme:ijmpps:ijm-05-2022-0247

DOI: 10.1108/IJM-05-2022-0247

Access Statistics for this article

International Journal of Manpower is currently edited by Professor Adrian Ziderman

More articles in International Journal of Manpower from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support ().