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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Han, H., Seongseop (Sam), K., Hailu, T. B., Al-Ansi, A., Loureiro, S. M. C. & Kim, J. J. (2025). Determinants of approach behavior for ChatGPT and their configurational influence in the hospitality and tourism sector: A cumulative prospect theory. International Journal of Contemporary Hospitality Management. 37 (1), 113-139
Exportar Referência (IEEE) 
H. Han et al.,  "Determinants of approach behavior for ChatGPT and their configurational influence in the hospitality and tourism sector: A cumulative prospect theory", in Int. Journal of Contemporary Hospitality Management, vol. 37, no. 1, pp. 113-139, 2025
Exportar BibTeX 
@article{han2025_1744666028205,
	author = "Han, H. and Seongseop (Sam), K. and Hailu, T. B. and Al-Ansi, A. and Loureiro, S. M. C. and Kim, J. J.",
	title = "Determinants of approach behavior for ChatGPT and their configurational influence in the hospitality and tourism sector: A cumulative prospect theory",
	journal = "International Journal of Contemporary Hospitality Management",
	year = "2025",
	volume = "37",
	number = "1",
	doi = "10.1108/IJCHM-07-2023-1072",
	pages = "113-139",
	url = "https://www.emerald.com/insight/publication/issn/0959-6119"
}
Exportar RIS 
TY  - JOUR
TI  - Determinants of approach behavior for ChatGPT and their configurational influence in the hospitality and tourism sector: A cumulative prospect theory
T2  - International Journal of Contemporary Hospitality Management
VL  - 37
IS  - 1
AU  - Han, H.
AU  - Seongseop (Sam), K.
AU  - Hailu, T. B.
AU  - Al-Ansi, A.
AU  - Loureiro, S. M. C.
AU  - Kim, J. J.
PY  - 2025
SP  - 113-139
SN  - 0959-6119
DO  - 10.1108/IJCHM-07-2023-1072
UR  - https://www.emerald.com/insight/publication/issn/0959-6119
AB  - Purpose
This research paper aims to explore the concerns and determinants of travelers’ behavior toward ChatGPT in the hospitality and tourism context. It also examines the weight of risk factors versus that of motivation and innovation characteristics influencing travelers’ approach behaviors toward ChatGPT.
Design/methodology/approach
A cumulative prospect theory was used to determine travelers’ responses to ChatGPT. This study, using a fuzzy-set qualitative approach, explored risk, motivation and innovation factors as determinants of approach behaviors for ChatGPT.
Findings
Findings revealed that risk, motivation and innovation factors were the key triggers of approach behaviors for ChatGPT. An intricate combination effect of the perceived risk, motivation and innovation characteristics was found, and the necessary predictors were determined.
Practical implications
The findings of this study will expand our current knowledge and offer practical insights for the development of ChatGPT in the hospitality and tourism sector.
Originality/value
This study makes a significant contribution to the existing literature by providing a nuanced understanding of the intricate interplay between the various factors that shape customer behavior in the context of technology adoption in hospitality and tourism studies.
ER  -