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Artificial Intelligence in the Tourism Industry: An Overview of Reviews

Author

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  • Miguel-Ángel García-Madurga

    (Department of Business Administration, Engineering and Architecture School, Campus Río Ebro, University of Zaragoza, 50018 Zaragoza, Spain)

  • Ana-Julia Grilló-Méndez

    (Department of Marketing Research and Market Management, Faculty of Economics and Business, University of Zaragoza, Paseo de la Gran Vía, 2, 50005 Zaragoza, Spain)

Abstract

This study aims to comprehensively synthesize existing literature on AI in tourism, highlighting key themes, strengths, and limitations, and illuminating pathways for future research, including the identification of emerging areas within this context. AI technology is rapidly transforming various sectors, including tourism, by augmenting customer service, improving operational efficiency, personalizing travel experiences, and supporting sustainability initiatives. Despite the growing body of research on this topic, there is a need for a comprehensive and systematic summary of the existing literature to illuminate the most effective uses of AI in this context and to identify gaps for future research. We employed the ‘overview of reviews’ methodology, which involved systematically locating, appraising, and synthesizing the results of previous review articles. Using Web of Science, we identified and analyzed 31 previous review articles on the application of AI in tourism. Their synthesis presents a comprehensive perspective on the present status of AI technology in the tourism sector. It provides valuable insights, not only for practitioners contemplating the implementation of AI solutions but also for academics aspiring to advance this study area. Moreover, the academic implications of this study reaffirm its objective to shape future inquiries into AI applications within tourism, advocate for the efficacious and sustainable employment of AI, and provoke scholarly exploration at the nexus of technology and sustainability in this sector.

Suggested Citation

  • Miguel-Ángel García-Madurga & Ana-Julia Grilló-Méndez, 2023. "Artificial Intelligence in the Tourism Industry: An Overview of Reviews," Administrative Sciences, MDPI, vol. 13(8), pages 1-22, July.
    • Handle: RePEc:gam:jadmsc:v:13:y:2023:i:8:p:172-:d:1202808
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    References listed on IDEAS

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    1. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
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    Cited by:

    1. Jinxia Lou, 2024. "Analyzing intelligent tourism development and public services based on a fuzzy genetic hybrid system to promote environmental and cultural values," PLOS ONE, Public Library of Science, vol. 19(7), pages 1-18, July.

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