Author, as appears in the article.: Orden-Mejía, M; Carvache-Franco, M; Huertas, A; Carvache-Franco, O; Carvache-Franco, W
Department: Estudis de Comunicació
URV's Author/s: Carvache Franco, Wilmer Ricardo / Huertas Roig, Maria Asuncion / Orden Mejía, Miguel Ángel
Keywords: Common method variance tourism technologies quality online exchange empathy destination image adoption acceptance
Abstract: 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.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.
Thematic Areas: Zootecnia / recursos pesqueiros Sociology Sociología Serviço social Saúde coletiva Química Psychology Psicología Planejamento urbano e regional / demografia Odontología Nutrição Multidisciplinary sciences Multidisciplinary Medicine (miscellaneous) Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Linguística e literatura Letras / linguística Interdisciplinary research in the social sciences Interdisciplinar Human geography and urban studies History & philosophy of science Historia Geografía Geociências General medicine General biochemistry,genetics and molecular biology General agricultural and biological sciences Farmacia Environmental studies Ensino Engenharias iv Engenharias iii Engenharias ii Engenharias i Enfermagem Educação física Educação Economia Direito Demography Comunicação e informação Ciências sociais aplicadas i Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência política e relações internacionais Ciência de alimentos Ciência da computação Biotecnología Biology Biodiversidade Biochemistry, genetics and molecular biology (miscellaneous) Astronomia / física Arquitetura, urbanismo e design Archaeology Antropologia / arqueologia Anthropology Agricultural and biological sciences (miscellaneous) Administração, ciências contábeis e turismo Administração pública e de empresas, ciências contábeis e turismo
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: miguelangel.orden@estudiants.urv.cat wilmer.carvache@estudiants.urv.cat sunsi.huertas@urv.cat
Author identifier: 0000-0001-6684-4220
Record's date: 2024-08-03
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0286427
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Plos One. 18 (9): e0286427-e0286427
APA: Orden-Mejía, M; Carvache-Franco, M; Huertas, A; Carvache-Franco, O; Carvache-Franco, W (2023). Modeling users' satisfaction and visit intention using AI-based chatbots. Plos One, 18(9), e0286427-e0286427. DOI: 10.1371/journal.pone.0286427
Article's DOI: 10.1371/journal.pone.0286427
Entity: Universitat Rovira i Virgili
Journal publication year: 2023
Publication Type: Journal Publications
Repositori URV