IDEAS home Printed from https://ideas.repec.org/a/taf/servic/v45y2025i11-12p1100-1131.html
   My bibliography  Save this article

Employees’ foe or friend: artificial intelligence and employee outcomes

Author

Listed:
  • Muhammad Abubakar Tahir
  • Gaofeng Da
  • Muzhar Javed
  • Muhammad Waheed Akhtar
  • Xiaohui Wang

Abstract

Using the componential theory of creativity and self-determination perspective, this study tests the effect of employees’ knowledge of artificial intelligence on their creativity and turnover intentions. We specifically investigate the mediating effects of self-enhancement motives and the moderating role of responsible leadership. Using a multi-wave research design, this study investigates these relationships with data from hospitality sector organizations across two distinct studies (Study 1, n = 241; Study 2, n = 279). We found that employees’ knowledge of artificial intelligence is positively related to employee creativity and negatively affects the turnover intentions directly and via self-enhancement motives. We also found support for the moderating impacts of responsible leadership. This study deepens our insight into artificial intelligence and its influence on hospitality employees and suggests important implications for researchers and practitioners.

Suggested Citation

  • Muhammad Abubakar Tahir & Gaofeng Da & Muzhar Javed & Muhammad Waheed Akhtar & Xiaohui Wang, 2025. "Employees’ foe or friend: artificial intelligence and employee outcomes," The Service Industries Journal, Taylor & Francis Journals, vol. 45(11-12), pages 1100-1131, September.
  • Handle: RePEc:taf:servic:v:45:y:2025:i:11-12:p:1100-1131
    DOI: 10.1080/02642069.2024.2375746
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02642069.2024.2375746
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/02642069.2024.2375746?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    for a different version of it.

    More about this item

    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:taf:servic:v:45:y:2025:i:11-12:p:1100-1131. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/FSIJ20 .

    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.