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Modeling users’ satisfaction and visit intention using AI-based chatbots
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 sa...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490898/ https://www.ncbi.nlm.nih.gov/pubmed/37682931 http://dx.doi.org/10.1371/journal.pone.0286427 |
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author | Orden-Mejía, Miguel Carvache-Franco, Mauricio Huertas, Assumpció Carvache-Franco, Orly Carvache-Franco, Wilmer |
author_facet | Orden-Mejía, Miguel Carvache-Franco, Mauricio Huertas, Assumpció Carvache-Franco, Orly Carvache-Franco, Wilmer |
author_sort | Orden-Mejía, Miguel |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10490898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-104908982023-09-09 Modeling users’ satisfaction and visit intention using AI-based chatbots Orden-Mejía, Miguel Carvache-Franco, Mauricio Huertas, Assumpció Carvache-Franco, Orly Carvache-Franco, Wilmer PLoS One Research Article 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. Public Library of Science 2023-09-08 /pmc/articles/PMC10490898/ /pubmed/37682931 http://dx.doi.org/10.1371/journal.pone.0286427 Text en © 2023 Orden-Mejía et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Orden-Mejía, Miguel Carvache-Franco, Mauricio Huertas, Assumpció Carvache-Franco, Orly Carvache-Franco, Wilmer Modeling users’ satisfaction and visit intention using AI-based chatbots |
title | Modeling users’ satisfaction and visit intention using AI-based chatbots |
title_full | Modeling users’ satisfaction and visit intention using AI-based chatbots |
title_fullStr | Modeling users’ satisfaction and visit intention using AI-based chatbots |
title_full_unstemmed | Modeling users’ satisfaction and visit intention using AI-based chatbots |
title_short | Modeling users’ satisfaction and visit intention using AI-based chatbots |
title_sort | modeling users’ satisfaction and visit intention using ai-based chatbots |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490898/ https://www.ncbi.nlm.nih.gov/pubmed/37682931 http://dx.doi.org/10.1371/journal.pone.0286427 |
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