480460 Ergebnisse
Sortierung:
In: Journal of economic dynamics & control, Band 61, S. 283-302
ISSN: 0165-1889
In: Journal of economic dynamics & control, Band 137, S. 104332
ISSN: 0165-1889
SSRN
Working paper
In: American Journal of Agricultural Economics, Band 97, Heft 5, S. 1371-1384
SSRN
In: Portuguese economic journal, Band 16, Heft 2, S. 113-144
ISSN: 1617-9838
In: ORGDYN-D-24-00056
SSRN
In: Decisions in economics and finance: a journal of applied mathematics, Band 30, Heft 1, S. 1-18
ISSN: 1129-6569, 2385-2658
In: Swiss Finance Institute Research Paper No. 21-49
SSRN
Working paper
In: Econometrica, Forthcoming
SSRN
In: Decisions in economics and finance: a journal of applied mathematics, Band 37, Heft 2, S. 341-348
ISSN: 1129-6569, 2385-2658
In: Risk Management and Insurance Review, Band 22, Heft 2, S. 221-238
SSRN
In: Environmental science and pollution research: ESPR, Band 30, Heft 14, S. 41505-41536
ISSN: 1614-7499
In: Journal of policy modeling: JPMOD ; a social science forum of world issues, Band 34, Heft 1, S. 81-98
ISSN: 0161-8938
In: Journal of policy modeling: JPMOD ; a social science forum of world issues, Band 34, Heft 1, S. 81-99
ISSN: 0161-8938
In: International journal of contemporary hospitality management
ISSN: 1757-1049
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.