IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-433-4_25.html

Impact of HRM Practices and Artificial Intelligence on Employee Attrition in It Industry

In: Proceedings of the International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundaries (DTBNNF 2024)

Author

Listed:
  • S. Soosai Agnel Jude

    (Vels Institute of Science, Technology and Advanced Studies, Research Scholar, School of Management Studies)

  • K. Vinayagam

    (Vels Institute of Science, Technology and Advanced Studies, Research Supervisor, Associate Professor, School of Management Studies)

Abstract

The study reveals a positive relationship between strategic HRM practices and Artificial Intelligence integration, with organizations successfully aligning these elements facing a more resilient and engaged personnel. The human resources management strategies that prioritize talent acquisition, continuous learning, and employee well-being, when accompanied by AI-driven tools, contribute to reduced attrition and higher job satisfaction. The Information Technology (IT) industry is witnessing profound transformations driven by the integration of AI and innovative HRM practices. The first surface of the study delves into HRM practices, emphasizing their role in talent acquisition, employee’s development and fostering a conducive work environment. Effective HRM practices, encompassing recruitment strategies, training programs and employee engagement initiatives, are examined as critical components for mitigating attrition challenges. The second dimension explores the infusion of AI in HRM processes and its repercussions on employee retention.

Suggested Citation

  • S. Soosai Agnel Jude & K. Vinayagam, 2024. "Impact of HRM Practices and Artificial Intelligence on Employee Attrition in It Industry," Advances in Economics, Business and Management Research, in: N. V. Suresh & P. S. Buvaneswari (ed.), Proceedings of the International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundaries (DTBNNF 2024), pages 350-358, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-433-4_25
    DOI: 10.2991/978-94-6463-433-4_25
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:advbcp:978-94-6463-433-4_25. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.