IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v44y2025i16p4017-4036.html

Glory or darkness? An empirical examination of understanding users’ adoption of ChatGPT via the coping theory: the moderating effect of mindfulness

Author

Listed:
  • Yu-Hsin Chen
  • Yun-Ching Chang
  • Ching-Jui Keng

Abstract

Based on the coping theory and coping model of user adaptation, this research explores the impact of users’ ChatGPT technostress on cognitive appraisal, coping process, and behaviour. A survey using Amazon’s Mechanical Turk was developed to collect data on 10 occupations that may be replaced by ChatGPT in the U.S., with a total of 277 actual ChatGPT users. This study employs the software SmartPLS4.2 to evaluate the measurement model and the structural model. The results show that concerns over coolness and posthuman capabilities significantly affect users’ challenge appraisal of ChatGPT, whereas privacy, ethics, and security concerns significantly impact users’ threat appraisal of ChatGPT. Challenge and threat appraisals have a significantly positive impact on users’ problem-focused coping and emotion-focused coping, which themselves significantly predict users’ continuous use of ChatGPT. Mindfulness negatively moderates the influence on emotion-focused coping and continued use intention after ChatGPT adoption. The main theoretical contributions of this research include investigating users’ ChatGPT technostress and coping process by professional workers who may be replaced by ChatGPT. The evidence regarding the moderating role of mindfulness presented herein is novel, because the relationship between coping strategies and continued behaviour intention has not been previously examined.

Suggested Citation

  • Yu-Hsin Chen & Yun-Ching Chang & Ching-Jui Keng, 2025. "Glory or darkness? An empirical examination of understanding users’ adoption of ChatGPT via the coping theory: the moderating effect of mindfulness," Behaviour and Information Technology, Taylor & Francis Journals, vol. 44(16), pages 4017-4036, October.
  • Handle: RePEc:taf:tbitxx:v:44:y:2025:i:16:p:4017-4036
    DOI: 10.1080/0144929X.2025.2460599
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2025.2460599
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2025.2460599?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:tbitxx:v:44:y:2025:i:16:p:4017-4036. 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/tbit .

    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.