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Decoding the future of human resource: How human resource analytics revolutionise the organisational landscape

Technological advances and digitalisation have revolutionised human resource management (HRM) by increasing the quantity of workforce data and widening its access to facilitate decision-making in businesses. This study aims to provide an in-depth understanding of big data analysis (BDA) by evaluatin...

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Main Authors: Ahmad Hafizi, Ahmad Giran, Puteri Fadzline, Muhamad Tamyez, Muhammad Ashraf, Fauzi, Nor Faradilla, Mohamed Idris, Madhavkumar, Vandana
Format: Article
Language:English
Published: Penerbit Universiti Malaysia Pahang 2024
Subjects:
QA Mathematics
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/43157/1/Decoding%20the%20future%20of%20human%20resource.pdf
http://umpir.ump.edu.my/id/eprint/43157/
https://doi.org/10.15282/ijim.18.4.2024.10330
https://doi.org/10.15282/ijim.18.4.2024.10330
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spelling my.ump.umpir.431572024-12-16T04:41:24Z http://umpir.ump.edu.my/id/eprint/43157/ Decoding the future of human resource: How human resource analytics revolutionise the organisational landscape Ahmad Hafizi, Ahmad Giran Puteri Fadzline, Muhamad Tamyez Muhammad Ashraf, Fauzi Nor Faradilla, Mohamed Idris Madhavkumar, Vandana QA Mathematics QA75 Electronic computers. Computer science Technological advances and digitalisation have revolutionised human resource management (HRM) by increasing the quantity of workforce data and widening its access to facilitate decision-making in businesses. This study aims to provide an in-depth understanding of big data analysis (BDA) by evaluating the current and future trends in human resource (HR) analytics through bibliometric analysis. The findings revealed significant research clusters on the knowledge structure and mapping of research streams in HR analytics. Several challenges in BDA application and firm performances were also identified, indicating its current and future trends in HR analytics. Implications for the new HRM landscape include the benefits and risks of using HR analytics tools that organisations must carefully monitor. Moreover, HR practitioners must understand the organisation's business needs and goals, analyse high-quality data that are relevant to the specific problem or question being addressed, and possess the technical skills and resources to implement and use HR analytics effectively. Penerbit Universiti Malaysia Pahang 2024-12-09 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/43157/1/Decoding%20the%20future%20of%20human%20resource.pdf Ahmad Hafizi, Ahmad Giran and Puteri Fadzline, Muhamad Tamyez and Muhammad Ashraf, Fauzi and Nor Faradilla, Mohamed Idris and Madhavkumar, Vandana (2024) Decoding the future of human resource: How human resource analytics revolutionise the organisational landscape. International Journal of Industrial Management (IJIM), 18 (4). 183 -192. ISSN 2289-9286 (Print); 0127-564x (Online). (Published) https://doi.org/10.15282/ijim.18.4.2024.10330 https://doi.org/10.15282/ijim.18.4.2024.10330
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA Mathematics
QA75 Electronic computers. Computer science
spellingShingle QA Mathematics
QA75 Electronic computers. Computer science
Ahmad Hafizi, Ahmad Giran
Puteri Fadzline, Muhamad Tamyez
Muhammad Ashraf, Fauzi
Nor Faradilla, Mohamed Idris
Madhavkumar, Vandana
Decoding the future of human resource: How human resource analytics revolutionise the organisational landscape
description Technological advances and digitalisation have revolutionised human resource management (HRM) by increasing the quantity of workforce data and widening its access to facilitate decision-making in businesses. This study aims to provide an in-depth understanding of big data analysis (BDA) by evaluating the current and future trends in human resource (HR) analytics through bibliometric analysis. The findings revealed significant research clusters on the knowledge structure and mapping of research streams in HR analytics. Several challenges in BDA application and firm performances were also identified, indicating its current and future trends in HR analytics. Implications for the new HRM landscape include the benefits and risks of using HR analytics tools that organisations must carefully monitor. Moreover, HR practitioners must understand the organisation's business needs and goals, analyse high-quality data that are relevant to the specific problem or question being addressed, and possess the technical skills and resources to implement and use HR analytics effectively.
format Article
author Ahmad Hafizi, Ahmad Giran
Puteri Fadzline, Muhamad Tamyez
Muhammad Ashraf, Fauzi
Nor Faradilla, Mohamed Idris
Madhavkumar, Vandana
author_facet Ahmad Hafizi, Ahmad Giran
Puteri Fadzline, Muhamad Tamyez
Muhammad Ashraf, Fauzi
Nor Faradilla, Mohamed Idris
Madhavkumar, Vandana
author_sort Ahmad Hafizi, Ahmad Giran
title Decoding the future of human resource: How human resource analytics revolutionise the organisational landscape
title_short Decoding the future of human resource: How human resource analytics revolutionise the organisational landscape
title_full Decoding the future of human resource: How human resource analytics revolutionise the organisational landscape
title_fullStr Decoding the future of human resource: How human resource analytics revolutionise the organisational landscape
title_full_unstemmed Decoding the future of human resource: How human resource analytics revolutionise the organisational landscape
title_sort decoding the future of human resource: how human resource analytics revolutionise the organisational landscape
publisher Penerbit Universiti Malaysia Pahang
publishDate 2024
url http://umpir.ump.edu.my/id/eprint/43157/1/Decoding%20the%20future%20of%20human%20resource.pdf
http://umpir.ump.edu.my/id/eprint/43157/
https://doi.org/10.15282/ijim.18.4.2024.10330
https://doi.org/10.15282/ijim.18.4.2024.10330
_version_ 1822924811455692800
score 13.23648

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