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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      07 April 2023, Volume 38 Issue 2   
    Article

    AI-SHRM: REVOLUTIONIZING HRM IN THE FOURTH INDUSTRIAL REVOLUTION
    Indira Priyadarsani Pradhan1, Dr. Parul Saxena2
    Journal of Data Acquisition and Processing, 2023, 38 (2): 4314-4322 . 

    Abstract

    Industry 4.0 is expected to create a business environment where machines can imitate human intelligence and the various components of a company's value chain are connected through data. To gain a competitive edge, companies must prioritize strategic human resource management based on the "resource-based view of a firm" or "resource advantage theory". AI has the potential to improve efficiency in all aspects of HRM and is poised to become the new trend for HRM in the future. This paper presents a conceptual model for incorporating artificial intelligence into strategic management for Industry 4.0. It is based on the resource-based view of strategic human resource management (SHRM), which emphasizes the importance of aligning an organization's resources with its strategic direction and leveraging human capital to achieve sustainable competitive advantage. SHRM focuses on empowering employees and managing their careers, aligning them with corporate strategy, and transforming the workplace into a high-performance environment. Industry 4.0 faces social and economic challenges, such as a shortage of skilled workers, an aging society, cost reduction pressure, and a short product life cycle.

    Keyword

    Resource-based Vies, Business environment, Industry 4.0, Artificial Intelligence, Strategy


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ISSN 1004-9037

         

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