Analysis of Three-Stage Visit Behavior of Tourists Using ChatGPT: Agenda for Future Study
Chat generative pre-trained transformer (ChatGPT) is an artificial intelligence (AI) engine. Research on tourism using ChatGPT has gained traction from scholars all over the world. However, limited studies on ChatGPT and the tourism industry have been conducted using an analysis of three-stage visit behavior. We analyzed the current trend in tourism research using ChatGPT with a bibliometric analysis based on the Scopus database. A total of 110 documents were used in this study for document review, and R studio Version 2022.12.0+353 was used to analyze the documents. The results present indicators for a systematic review of the documents, such as the number of publications and co-word analysis. A theoretical system was developed in this study to explore travelers’ behavior using ChatGPT in the pre-, during, and post-travel periods. The study results contribute to the development of the tourism industry to understand tourist behavior using ChatGPT.
Authors
- Li-Wei Liu (ORCID: https://orcid.org/0000-0001-5025-2722)
- Pahrudin Pahrudin (ORCID: https://orcid.org/0000-0002-2380-0268)
- Idrus Jamalulel
- Anfitri Sihombing (ORCID: https://orcid.org/0009-0002-3914-2164)
Institutions
- Chaoyang University of Technology (TW)
Publication Details
- Published
- 2025-06-18
- DOI
- https://doi.org/10.3390/engproc2025098015
- Primary Topic
- Technology Adoption and User Behaviour
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Chaoyang University of Technology