Whether AI-based Chatbots Influence Destination Visit Intentions?
Nurdin Hidayah (),
Ratih Hurriyati and
Heny Hendrayati
Additional contact information
Nurdin Hidayah: Universitas Pendidikan Indonesia
Ratih Hurriyati: Universitas Pendidikan Indonesia
Heny Hendrayati: Universitas Pendidikan Indonesia
A chapter in Proceedings of the 8th Global Conference on Business, Management, and Entrepreneurship (GCBME 2023), 2024, pp 704-709 from Springer
Abstract:
Abstract This study set out to investigate the impact of AI-based chatbot recommendations on destination visit intention. To achieve this objective, we conducted a survey using a sample of 116 individuals and analyzed the data using IBM SPSS-25 software. Our findings indicate that the AI-based chatbot recommendation has a positive and statistically significant effect on destination visit intention. These results are in line with previous research, which suggests that AI can serve as an alternative to consumers seeking information about service products, such as tourism. This study contributes to the development of tourist behavior theory in the field of tourism destination marketing by providing empirical evidence of the influence of AI-based chatbot recommendations on tourists’ visiting intentions, adding to the body of knowledge on the topic.
Keywords: Artificial Intelligence; ChatGPT; Chatbot; Destination Marketing; Visit Intention (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-443-3_92
Ordering information: This item can be ordered from
http://www.springer.com/9789464634433
DOI: 10.2991/978-94-6463-443-3_92
Access Statistics for this chapter
More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().