Unravelling Smart HRM 4.0: A Narrative Review of Progressive 4.0 Technology Integration in Human Resource Management
Syezreen Dalina Rusdi,
Ida Rosnita Ismail and
Rosmah Mat Isa
Information Management and Business Review, 2024, vol. 16, issue 3, 415-423
Abstract:
The integration of progressive 4.0 technology into human resource management (HRM) represents a significant shift in how organizations optimize and enhance workforce capabilities. This review explores the origins, applications, benefits, challenges and future prospects surrounding smart HRM 4.0. By reviewing existing literature, this paper examines the utilization of Artificial Intelligence (AI), Big Data analytics, machine learning (ML) and the Internet of Things (IoT) in HRM, specifically in talent acquisition, training, performance management, and rewards. Additionally, it addresses the implementation challenges including data quality assurance, skill shortages, and cultural resistance. The paper also emphasizes the importance of ethical considerations. In terms of future research, it highlights the necessity for ethically deploying Industry 4.0 and establishing robust AI governance frameworks. By combining technological innovation with ethical values, organizations can navigate the complexities of this integration, leading to a future characterized by workplace efficiency, accountability, and fairness.
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ojs.amhinternational.com/index.php/imbr/article/view/4070/2634 (application/pdf)
https://ojs.amhinternational.com/index.php/imbr/article/view/4070 (text/html)
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:rnd:arimbr:v:16:y:2024:i:3:p:415-423
DOI: 10.22610/imbr.v16i3(I)S.4070
Access Statistics for this article
More articles in Information Management and Business Review from AMH International
Bibliographic data for series maintained by Muhammad Tayyab ().