Cloud-Native HCM: Redefining Workforce Management for a Distributed Workforce

Dr. Thabo, Nkosi and Nomvula, Khumalo (2018) Cloud-Native HCM: Redefining Workforce Management for a Distributed Workforce. International Journal of Trend in Scientific Research and Development, 2 (4). pp. 3112-3124. ISSN 2456-6470

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Abstract

The shift toward remote and hybrid work models has significantly transformed how organizations manage their workforce. As businesses adapt to this new landscape, the need for innovative solutions to manage human capital effectively has never been more urgent. Cloud-native Human Capital Management (HCM) systems are at the forefront of this transformation, offering organizations the flexibility, scalability, and agility required to optimize workforce management in an increasingly distributed environment. This article explores the role of cloud-native HCM platforms in redefining workforce management, focusing on how these systems address the challenges of a distributed workforce. It examines the key features of cloud-native HCM, including real-time data accessibility, seamless collaboration, and personalized employee experiences, that empower organizations to enhance productivity, improve talent management, and foster a more inclusive and engaged workforce. The paper also discusses the advantages of cloud-native HCM in terms of scalability, cost-efficiency, and integration capabilities, which enable businesses to remain agile in a rapidly evolving market. Additionally, it highlights the future potential of cloud-native HCM in driving workforce innovation through AI, machine learning, and advanced analytics. By leveraging these cutting-edge technologies, organizations can unlock deeper insights into employee performance, improve decision-making, and create a more connected and resilient workforce. In conclusion, cloud-native HCM is not just a tool for managing human resources but a strategic enabler that is reshaping the way businesses approach workforce management, offering a competitive edge in the era of distributed workforces.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	22 Nov 2024 11:08
Last Modified:	22 Nov 2024 11:08
URI:	http://eprints.umsida.ac.id/id/eprint/14669

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