Trusting ChatGPT Usage in Personalized Travel Planning: The Moderating Role of Privacy and Data Security

ChatGPT has become one source of personalized recommendations used by travelers in travel planning contexts. This research aims to examine the ChatGPT usage dimensions and its impact on travelers’ level of trust in ChatGPT recommendations and their behavioral intention of future use. It also tests the moderating effect of privacy and data security on the relationship between travelers’ trust and behavioural intention. Using PLS-SEM to analyze collected data of travelers from the UAE and Oman, and using the multi-group analysis technique, findings revealed a positive impact of ChatGPT usage dimensions on travelers’ trust and behavioral intention. Interestingly, findings revealed a negative moderating effect of privacy and data security on travelers’ trust in ChatGPT recommendations and behavioral intention of usage. Theoretical and practical contributions of the results are also offered.

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Publication Details

Journal
Tourism and Hospitality Research
Published
2024-12-24
DOI
https://doi.org/10.1177/14673584241306346
Citations
3
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
3.15
Controls
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article

Trusting ChatGPT Usage in Personalized Travel Planning: The Moderating Role of Privacy and Data Security

Ahmed Mohamed Elbaz, Mohamed Abou‐Shouk, Maha Misbah Mohammed Shabana, Saleh Muhammad Zeki Mahmood Al–Leheabi et al.
3 citations
Tourism and Hospitality Research
Technology Adoption and User Behaviour
3.15
article

Trusting ChatGPT Usage in Personalized Travel Planning: The Moderating Role of Privacy and Data Security

Ahmed Mohamed Elbaz, Mohamed Abou‐Shouk, Maha Misbah Mohammed Shabana, Saleh Muhammad Zeki Mahmood Al–Leheabi, Emadeddin Abuelenain
article en
3 citations

Abstract

ChatGPT has become one source of personalized recommendations used by travelers in travel planning contexts. This research aims to examine the ChatGPT usage dimensions and its impact on travelers’ level of trust in ChatGPT recommendations and their behavioral intention of future use. It also tests the moderating effect of privacy and data security on the relationship between travelers’ trust and behavioural intention. Using PLS-SEM to analyze collected data of travelers from the UAE and Oman, and using the multi-group analysis technique, findings revealed a positive impact of ChatGPT usage dimensions on travelers’ trust and behavioral intention. Interestingly, findings revealed a negative moderating effect of privacy and data security on travelers’ trust in ChatGPT recommendations and behavioral intention of usage. Theoretical and practical contributions of the results are also offered.

Tourism and Hospitality Research
Damietta University (EG), University of Sharjah (AE), University of Sadat City (EG), Fayoum University (EG)
Openalex Percentile: Top 6%
Technology Adoption and User Behaviour
3.15
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