Xu, H., Law, R., Lovett, J. orcid.org/0000-0002-5839-3770 et al. (2 more authors) (2024) Tourist acceptance of ChatGPT in travel services: the mediating role of parasocial interaction. Journal of Travel and Tourism Marketing, 41 (7). pp. 955-972. ISSN 1054-8408
Abstract
ChatGPT has revolutionized the travel industry. This study employs the stimulus-organism-response (SOR) model to develop and validate a conceptual model for ChatGPT acceptance. Social influence and perceived value emerge as key determinants of user cognitive appraisals of ChatGPT’s expertise, trustworthiness, and emotional connections through parasocial interaction. These factors subsequently influence traveler acceptance of ChatGPT for travel-related services. Findings reveal that social influence is the most potent predictor of ChatGPT acceptance, while perceived trust directly impacts user acceptance during the cognitive process. These insights advance research on parasocial interaction, while providing valuable guidance for implementing ChatGPT in tourism services.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use,distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
Keywords: | ChatGPT; chatbot; parasocial interaction; generative AI;acceptance; tourism |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Ecology & Global Change (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Jun 2024 13:33 |
Last Modified: | 14 Jun 2024 15:02 |
Published Version: | https://www.tandfonline.com/doi/full/10.1080/10548... |
Status: | Published |
Publisher: | Taylor & Francis Group |
Identification Number: | 10.1080/10548408.2024.2364336 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:213095 |