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Cited by 202AI in Service InteractionsDiverse Aspects of Tourism ResearchDigital Marketing and Social Media

The DOI matches its Crossref record, with a small difference in title or year; 90 of the 90 references it cites were found in a registry or an index.

When ChatGPT Gives Incorrect Answers: The Impact of Inaccurate Information by Generative AI on Tourism Decision-Making

Open access
Kim, Jeong Hyun, Kim, Jungkeun, Park, Jooyoung, Kim, Changju, Jhang, Jihoon, King, Brian·2025·Journal of Travel Research
DOI 10.1177/00472875231212996
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Abstract

This study investigates how inaccurate information provided by ChatGPT impacts travelers’ acceptance of recommendations. Six experiments were conducted based on the accessibility-diagnosticity framework. These examined the moderating role of the prominence and type of incorrect information and their effects on decision-making. The results show that participants perceived more accuracy and trustworthiness, leading to stronger intentions to visit when incorrect information was absent. However, there was a decline in their intentions to visit when incorrect information was present and more prominent or in the same domain. This effect diminished when multiple domains were involved or when participants were focused on the initial task. The research highlights that both the prominence and type of incorrect information are boundary conditions and provides insights into AI applications in tourism. Furthermore, it offers practical implications for online travel agencies in terms of user interface and user experience design planning.

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Research works printed but not linked: 3

  1. 10.1177/0022243719851788 · DOI · Paper page
  2. Fuchs M., 2022, Transitioning towards the future of tourism destinations: Resilient, smart, and green development, 45
  3. Obadă R., 2019, Argumentum, 17, 144

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Metadata

Authors
Kim, J. H., Kim, J., Park, J., Kim, C., Jhang, J., & King, B.
Affiliations
  • Kyung Hee University (KR)
  • Peking University (CN)
  • Ritsumeikan University (JP)
  • University of Central Arkansas (US)
  • Texas A&M University (US)
Corresponding author
Kim, Jeong Hyun
ORCID
Venue
Journal of Travel Research
Publisher
SAGE Publications
Published
2023-11-29
Volume
64
Issue
1
Pages
51-73
ISSN
  • 0047-2875 (ISSN-L)
  • 1552-6763
DOI
10.1177/00472875231212996
OpenAlex
W4389201667
Cited by
202
References
90
Citations by year
2026: 82 · 2025: 91 · 2024: 29
FWCI
19.04
Type
journal article
Language
en
Open access
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations
Journal of Travel Research (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
  • Social Sciences › Business, Management and Accounting › Tourism, Leisure and Hospitality Management › Diverse Aspects of Tourism Research
  • Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
Keywords
ChatGPT, generative AI, incorrect information, tourist decision-making, recommendation acceptance, trustworthiness, visit intention, online travel agencies, user interface design, user experience design

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