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Unified Theory of Technology Acceptance and Use for Chatbot Services in the Hotel Business

Published: 06 May 2024 Publication History

Abstract

Through the integration of the UTAUT 2 framework and the introduction of Digital Competence as a unique variable impacting acceptance, this study investigates guest acceptance of chatbots in hotel services. The study uses questionnaires for customers who have interacted with chatbots and focuses on five-star hotels in Jakarta. The paper highlights chatbots' importance in operational services by revealing their impact on visitor activities using data analysis using SEM PLS. The findings suggest that behavioral intention was strongly influenced by social influence and enabling settings, but not by performance expectancy, effort expectancy, or hedonic incentive. In contrast with the rejection of hedonic motivation, behavioral intention, facilitating conditions, and digital competence favorably affected actual chatbot use. The results highlight chatbots as useful instruments for five-star hotels and point to wider uses in establishments such as gyms and sports centers. One suggestion is to use chatbot conversations to promote meeting spaces and accommodation packages on a frequent basis. The limitations of the study include its emphasis on technology and guest reception at five-star hotels; this suggests that more research on employee readiness for technology adoption in the broader hotel industry is warranted. This thorough analysis advances our knowledge of chatbot dynamics in the hospitality industry, offering practical advice for hotel managers and outlining potential research directions.

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    ICCMB '24: Proceedings of the 2024 7th International Conference on Computers in Management and Business
    January 2024
    235 pages
    ISBN:9798400716652
    DOI:10.1145/3647782
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 06 May 2024

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    Author Tags

    1. Chatbot
    2. Digital Competence
    3. Hotel Technology
    4. UTAUT

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