IDEAS home Printed from https://ideas.repec.org/a/sae/manlab/v51y2026i3_supplps9-s27.html

Adoption of Artificial Intelligence: Influence of User Experience, Perceived Versatility and Educational Impact on Overall Satisfaction and Future Intentions

Author

Listed:
  • N. Meena Rani
  • Mary J. Metilda

Abstract

Artificial intelligence (AI) is rapidly developing as a game changer in higher education across geographies, and India is no exception. The main objective of this research is to investigate the adoption of generative AI tools such as ChatGPT in higher education and how management students perceive and adopt the same in order to meet their education needs. Primary data were gathered from 313 students from India pursuing management education. A structured questionnaire with previously validated and contextually adapted scale encompassing five elements, including user experience (UE), perceived versatility (VER), educational impact (EI), overall satisfaction (OAS) and intentions for future usage (FI), was used. The confirmatory factor analysis shows a strong association among UE, VER and EI as explanatory variables, and OAS and FI as outcome variables. This research is novel as it presents and confirms the VER construct as a strong and independent predictor. The research highlights the importance of AI tools that can support the varied learning styles and changing learning needs of management students. The results support the mediating nature of OAS between the perception linked to the user and future behavioural intentions. The study further confirms its centrality in technology adoption models in higher education settings. The results of the study provide valuable insights to educators, institutional leaders and developers of AI tools who endeavour to integrate generative AI tools in management education.

Suggested Citation

  • N. Meena Rani & Mary J. Metilda, 2026. "Adoption of Artificial Intelligence: Influence of User Experience, Perceived Versatility and Educational Impact on Overall Satisfaction and Future Intentions," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 51(3_suppl), pages 9-27, August.
  • Handle: RePEc:sae:manlab:v:51:y:2026:i:3_suppl:p:s9-s27
    DOI: 10.1177/0258042X261432794
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0258042X261432794
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0258042X261432794?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
    ---><---

    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:sae:manlab:v:51:y:2026:i:3_suppl:p:s9-s27. 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: SAGE Publications (email available below). General contact details of provider: http://www.xlri.ac.in/ .

    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.