Potential and Implemented Applications of ChatGPT, an Artificial Intelligence Supported Language Model in the Tourism Sector


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Authors

DOI:

https://doi.org/10.5281/zenodo.8393590

Keywords:

ChatGPT in the Tourism Sector, Artificial Intelligence Supported Language Model in Tourism, ChatGPT Applications

Abstract

Businesses in the tourism industry have always adopted technological advances to improve customer service, improve experiences and streamline processes. One of the new technologies that will change the industry in recent times is the integration of ChatGPT, an artificial intelligence-supported language model. ChatGPT has the potential to fundamentally change the way tourists interact with tourism businesses. It is thought that ChatGPT, with its versatile capabilities from personalized recommendations to instant customer support, will have an important position in the tourism industry. In the study, the potential and current applications of ChatGPT in tourism enterprises were scanned and it was tried to determine at what stage the applications of this technology are in the context of the tourism sector. In line with the data obtained from the literature review, it has been seen that ChatGPT technology has potential application areas under the headings of travel planning, deciding on the hotel, customer communication and personalized service, content creation, concierge service, menu planning and recipe development, data collection, data summarization, data analysis, and SEO service. It has been seen that almost all of the potential applications of ChatGPT are also in the implemented applications. Since the artificial intelligence-supported language model can be developed, it is thought that it will be included in different tourism processes in new add-ons in the future.

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Published

2023-09-30

How to Cite

Cabi Bilge, A. (2023). Potential and Implemented Applications of ChatGPT, an Artificial Intelligence Supported Language Model in the Tourism Sector. Journal of Recreation and Tourism Research, 10(3), 139–155. https://doi.org/10.5281/zenodo.8393590

Issue

Section

Conceptual Paper