Modeling users' satisfaction and visit intention using AI-based chatbots.
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2023
2023
Historique:
received:
21
10
2022
accepted:
16
05
2023
medline:
11
9
2023
pubmed:
8
9
2023
entrez:
8
9
2023
Statut:
epublish
Résumé
AI-based chatbots are an emerging technology disrupting the tourism industry. Although chatbots have received increasing attention, there is little evidence of their impact on tourists' decisions to visit a destination. This study evaluates the key attributes of chatbots and their effects on user satisfaction and visit intention. We use structural equation modeling with covariance procedures to test the proposed model and its hypotheses. The results showed that informativeness, empathy, and interactivity are critical attributes for satisfaction, which drive tourists' intention to visit a destination.
Identifiants
pubmed: 37682931
doi: 10.1371/journal.pone.0286427
pii: PONE-D-22-29153
pmc: PMC10490898
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0286427Informations de copyright
Copyright: © 2023 Orden-Mejía et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
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