IDEAS home Printed from https://ideas.repec.org/a/ids/ijeded/v17y2026i1p87-108.html

Psychological wellness of employees: role of AI-based digital technology and leadership behaviour in higher educational institutions

Author

Listed:
  • Shilpi Sarna
  • Dhananjay Beura
  • Ipsita Dash
  • Anchal Luthra

Abstract

Robust digital leadership is essential in the digital disruption age especially in this field of higher education after the introduction of artificial intelligence (AI). The major objective of this paper is to explore the personal and professional attributes of digital leaders in the higher education field. The job resource and job demand (JR-D) model has been considered to specifically define the psychological well-being of digital leaders in the field of higher education. Non-probability snow ball sampling method was used and 189 respondents were evaluated during this research. The results of this study revealed that the personal and organisational attributes of a leader significantly influence the digital leadership behaviour. Moreover, there is strong evidence that digital leadership behaviour significantly influences psychological well-being and also personal and organisational attributes in this digital disruptive world of higher education. The novel contribution of this study is critical to the ongoing discussion about the role of AI and the significance of personal and organisational attributes along with psychological well-being. The measurement model was tested by using PLS-SEM and found to be significant in establishing the relationship.

Suggested Citation

  • Shilpi Sarna & Dhananjay Beura & Ipsita Dash & Anchal Luthra, 2026. "Psychological wellness of employees: role of AI-based digital technology and leadership behaviour in higher educational institutions," International Journal of Education Economics and Development, Inderscience Enterprises Ltd, vol. 17(1), pages 87-108.
  • Handle: RePEc:ids:ijeded:v:17:y:2026:i:1:p:87-108
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=150206
    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:ijeded:v:17:y:2026:i:1:p:87-108. 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=346 .

    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.