IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v46y2025i2p174-190.html
   My bibliography  Save this article

Adoption of artificial intelligence and productivity: a game changer for productive outcomes in Indian IT companies

Author

Listed:
  • Ramesh Sattu
  • Simanchala Das

Abstract

The present study examines the effect of the potent drivers for AI adoption regarding talent acquisition and actual usage in information technology (IT) companies from an emerging market perspective for productive business outcomes. SEM analysis was applied to validate the hypothesised model using 459 responses drawn from survey participants. In this regard, the findings reveal a positive and significant link between all the study constructs that render affirmation to the research model. The results and findings were compared with prior studies in the similar domain that provides a strong justification to place the novel contribution of this study in extending the domain knowledge. In addition, the findings provide insights to managers and policymakers to devise strategies for productivity and effective implementation of the AI for talent acquisition that can ease the workload of the HR specialists in the organisations.

Suggested Citation

  • Ramesh Sattu & Simanchala Das, 2025. "Adoption of artificial intelligence and productivity: a game changer for productive outcomes in Indian IT companies," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 46(2), pages 174-190.
  • Handle: RePEc:ids:ijpqma:v:46:y:2025:i:2:p:174-190
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=148949
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    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:ids:ijpqma:v:46:y:2025:i:2:p:174-190. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=177 .

    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.