IDEAS home Printed from https://ideas.repec.org/a/taf/rcitxx/v28y2025i8p1191-1196.html
   My bibliography  Save this article

Unveiling the impact of ChatGPT on travel consumer behaviour: exploring trust, attribute, and sustainable-tourism action

Author

Listed:
  • Myung Ja Kim
  • Sung-Eun Kang
  • C. Michael Hall
  • Jinok Susanna Kim
  • Pornpisanu Promsivapallop

Abstract

This study examines the influence of ChatGPT on tourist behaviour using complexity theory. Factors such as media richness, anthropomorphism, trust in ChatGPT, and trust in online travel agencies are investigated to understand their effects on purchasing intentions and word-of-mouth, along with a moderator of sustainable-tourism action (practice). Results revealed the relationships among the variables, highlighting the crucial role of trust in shaping consumer behaviour. A comparison between high and low levels of sustainable-tourism practice groups provides further insights. The study discusses implications for the travel industry, emphasising the importance of leveraging ChatGPT to enhance tourist trust and sustainable actions.

Suggested Citation

  • Myung Ja Kim & Sung-Eun Kang & C. Michael Hall & Jinok Susanna Kim & Pornpisanu Promsivapallop, 2025. "Unveiling the impact of ChatGPT on travel consumer behaviour: exploring trust, attribute, and sustainable-tourism action," Current Issues in Tourism, Taylor & Francis Journals, vol. 28(8), pages 1191-1196, April.
  • Handle: RePEc:taf:rcitxx:v:28:y:2025:i:8:p:1191-1196
    DOI: 10.1080/13683500.2024.2355556
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13683500.2024.2355556
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13683500.2024.2355556?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:rcitxx:v:28:y:2025:i:8:p:1191-1196. 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/rcit .

    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.