Smart HR Competencies and Their Applications in Industry 4.0

Srivastava, Yashonidhi and Ganguli, Souvik and Suman Rajest, S. and Regin, R. (2022) Smart HR Competencies and Their Applications in Industry 4.0. In: A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems. Springer, pp. 293-315.

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Abstract

With the advent of artificial intelligence and IoT linkages, human resource management (HRM) is undergoing radical changes and moving onto the new coinage called smart HR. The features of HR in industries are intentional, along with the need to shift to a smarter domain. With regard to industry dynamics, as well as working conditions and the overall organizational structure, the advantages of the technologies implemented and the methodologies suggested have been presented. Also addressed are the industrial shifts relating to the evolving economy and other developments brought about by the introduction of novel systems and technologies. The research also took on the influence of the introduction of new working techniques such as smart work (SW), structural equation modeling (SEM), and smart city projects (SCPs) in the field of smart HR. Several steps taken for the development and growth of the sector were also highlighted, along with recommendations that could be taken up to further boost the experience of work and organization. For a deeper understanding of the principles, a lot of studies were also included, including supply chain systems and cyber-physical systems. Besides, the identification of domains needing further study was also highlighted. In addition, to get the best performance, strategic alliances, line management, and organizational design were addressed too. Focus on the digitization of human resource management was also discussed on the changes of the organizations from e-HRM to d-HRM.

Item Type: Book Section
Subjects: Electrical and Electronics Engineering > Electric Circuits
Divisions: Electrical and Electronics Engineering
Depositing User: Mr IR Admin
Date Deposited: 25 Sep 2024 06:18
Last Modified: 25 Sep 2024 06:18
URI: https://ir.vistas.ac.in/id/eprint/7186

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