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Antecedents and consequences of travelers' trust towards personalized travel recommendations offered by ChatGPT

  • Faizan Ali*
  • , Buket Yasar
  • , Laiba Ali
  • , Seden Dogan
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

128 Scopus citations

Abstract

This study examines the influence of relevance, credibility, usefulness, and intelligence of the personalized travel recommendation offered by ChatGPT on travelers' trust and behavioral intentions. First, a lay theory study was conducted to test travelers’ intuitive beliefs by collecting data from 102 panelists recruited on Prolific. The second study was based on the data collected from 344 respondents via Amazon MTurk. Findings indicated that ChatGPT personalized travel recommendation's relevance, credibility, usefulness, and intelligence significantly positively influence perceived trust. Moreover, perceived trust has a significantly positive influence on behavioral intentions. It is the first study that has focused on travelers' interaction with ChatGPT by integrating the affordance-actualization theory and the model of ad credibility. Practical implications and relevant future research suggestions are also provided.

Original languageEnglish
Article number103588
JournalInternational Journal of Hospitality Management
Volume114
DOIs
StatePublished - Sep 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 Elsevier Ltd

Keywords

  • ChatGPT
  • Credibility
  • Intelligence
  • Personalized travel recommendations
  • Relevance
  • Trust
  • Usefulness

ASJC Scopus subject areas

  • Tourism, Leisure and Hospitality Management
  • Strategy and Management

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