Articles producció científica> Estudis de Comunicació

Analysis of the attributes of smart tourism technologies in destination chatbots that influence tourist satisfaction

  • Identification data

    Identifier: imarina:9231692
  • Authors:

    Orden-Mejía M
    Huertas A
  • Others:

    Author, as appears in the article.: Orden-Mejía M; Huertas A
    Department: Estudis de Comunicació
    URV's Author/s: Huertas Roig, Maria Asuncion / Orden Mejía, Miguel Ángel
    Keywords: User satisfaction Smart tourism technology Interactivity Informativeness Information-systems success Empathy Chatbot Accessibility user satisfaction smart tourism technology service robots responsiveness model loyalty interactivity informativeness impact empathy decision-support accessibility
    Abstract: Chatbots are an emerging technology that is disrupting the tourism industry. Despite their implementation in companies and at destinations, there is little research that evaluates chatbots’ smart tourism technologies (STTs) attributes and their influence on tourist satisfaction. This study seeks to examine the relationship between informativeness, empathy, accessibility, interactivity and chatbot user satisfaction. The research was based on an experiment and a survey conducted on a sample of 468 potential tourists who used a chatbot during their trip. Statistical tools such as exploratory factor analysis and the hierarchical regression method were used in the data analysis. The results suggest that informativeness, empathy and interactivity of destination chatbots are the attributes that influence and predict tourist satisfaction while accessibility does not. The main contribution of this study is the analysis of the attributes of STTs applied to destination chatbots, which also provides valuable information for both tourism chatbot developers and smart destination managers who wish to adopt this technology. Highlights: The communication with a chatbot resembles the dialogues they have with human agents. Informativeness is a predictor factor in users’ satisfaction with chatbot The empathic ability of the chatbot is a factor that predicts user satisfaction A high level of interactivity in a human-chabot interaction predicts user satisfaction.
    Thematic Areas: Tourism, leisure and hospitality management Human geography and urban studies Hospitality, leisure, sport & tourism Geography, planning and development Geografía General o multidisciplinar Environmental studies Economia Ciencias sociales
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: sunsi.huertas@urv.cat miguelangel.orden@estudiants.urv.cat
    Author identifier: 0000-0001-6684-4220
    Record's date: 2023-02-19
    Papper version: info:eu-repo/semantics/acceptedVersion
    Link to the original source: https://www.tandfonline.com/doi/full/10.1080/13683500.2021.1997942
    Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Current Issues In Tourism. 25 (17): 2854-2869
    APA: Orden-Mejía M; Huertas A (2022). Analysis of the attributes of smart tourism technologies in destination chatbots that influence tourist satisfaction. Current Issues In Tourism, 25(17), 2854-2869. DOI: 10.1080/13683500.2021.1997942
    Article's DOI: 10.1080/13683500.2021.1997942
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2022
    Publication Type: Journal Publications
  • Keywords:

    Geography, Planning and Development,Hospitality, Leisure, Sport & Tourism,Tourism, Leisure and Hospitality Management
    User satisfaction
    Smart tourism technology
    Interactivity
    Informativeness
    Information-systems success
    Empathy
    Chatbot
    Accessibility
    user satisfaction
    smart tourism technology
    service
    robots
    responsiveness
    model
    loyalty
    interactivity
    informativeness
    impact
    empathy
    decision-support
    accessibility
    Tourism, leisure and hospitality management
    Human geography and urban studies
    Hospitality, leisure, sport & tourism
    Geography, planning and development
    Geografía
    General o multidisciplinar
    Environmental studies
    Economia
    Ciencias sociales
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