Bibliometric review on human resources management and big data analytics

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 workfo...

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Main Authors: Fauzi, Muhammad Ashraf, Kamaruzzaman, Zetty Ain, Abdul Rahman, Hamirahanim
Format: Article
Language:English
English
Published: Emerald Publishing 2022
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/36032/
http://umpir.ump.edu.my/id/eprint/36032/1/2022-IJM_Bibliometric%20review%20on%20HRM%20and%20BDA.pdf
http://umpir.ump.edu.my/id/eprint/36032/7/Bibliometric%20review%20on%20human%20resources%20management%20and%20big%20data%20analytics.pdf
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author Fauzi, Muhammad Ashraf
Kamaruzzaman, Zetty Ain
Abdul Rahman, Hamirahanim
author_facet Fauzi, Muhammad Ashraf
Kamaruzzaman, Zetty Ain
Abdul Rahman, Hamirahanim
author_sort Fauzi, Muhammad Ashraf
building UMP Institutional Repository
collection Online Access
description 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.
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spelling ump-360322023-01-09T07:36:11Z http://umpir.ump.edu.my/id/eprint/36032/ Bibliometric review on human resources management and big data analytics Fauzi, Muhammad Ashraf Kamaruzzaman, Zetty Ain Abdul Rahman, Hamirahanim H Social Sciences (General) HF Commerce QA Mathematics 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. Emerald Publishing 2022-12 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/36032/1/2022-IJM_Bibliometric%20review%20on%20HRM%20and%20BDA.pdf pdf en http://umpir.ump.edu.my/id/eprint/36032/7/Bibliometric%20review%20on%20human%20resources%20management%20and%20big%20data%20analytics.pdf Fauzi, Muhammad Ashraf and Kamaruzzaman, Zetty Ain and Abdul Rahman, Hamirahanim (2022) Bibliometric review on human resources management and big data analytics. International Journal of Manpower, ahead-of-print (ahead-of-print). pp. 1-21. ISSN 0143-7720. (Published) https://doi.org/10.1108/IJM-05-2022-0247 https://doi.org/10.1108/IJM-05-2022-0247
spellingShingle H Social Sciences (General)
HF Commerce
QA Mathematics
Fauzi, Muhammad Ashraf
Kamaruzzaman, Zetty Ain
Abdul Rahman, Hamirahanim
Bibliometric review on human resources management and big data analytics
title Bibliometric review on human resources management and big data analytics
title_full Bibliometric review on human resources management and big data analytics
title_fullStr Bibliometric review on human resources management and big data analytics
title_full_unstemmed Bibliometric review on human resources management and big data analytics
title_short Bibliometric review on human resources management and big data analytics
title_sort bibliometric review on human resources management and big data analytics
topic H Social Sciences (General)
HF Commerce
QA Mathematics
url http://umpir.ump.edu.my/id/eprint/36032/
http://umpir.ump.edu.my/id/eprint/36032/
http://umpir.ump.edu.my/id/eprint/36032/
http://umpir.ump.edu.my/id/eprint/36032/1/2022-IJM_Bibliometric%20review%20on%20HRM%20and%20BDA.pdf
http://umpir.ump.edu.my/id/eprint/36032/7/Bibliometric%20review%20on%20human%20resources%20management%20and%20big%20data%20analytics.pdf