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R-Tourism: Introducing the Potential Impact of Robotics and Service Automation in Tourism

Author

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  • Papathanassis Alexis

    (Bremerhaven University of Applied Sciences, Germany)

Abstract

Robotics and artificial intelligence are expected to reach their ‘tipping points’ over the nextdecade. Digitalization and service automation are already visible in the tourism sector, raisingquestions on their wider impact on the industry and the holiday-experience per se. Numerousapplication examples and cases of those technologies across the entire holiday value-chain areoutlined and their diffusion drivers are discussed. Apart from providing a typology for R-tourismapplications, this paper makes a strong case for the incorporation of this interdisciplinary areainto mainstream tourism research.

Suggested Citation

  • Papathanassis Alexis, 2017. "R-Tourism: Introducing the Potential Impact of Robotics and Service Automation in Tourism," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 211-216, June.
    • Handle: RePEc:ovi:oviste:v:xvii:y:2017:i:1:p:211-216
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    File URL: http://stec.univ-ovidius.ro/html/anale/ENG/2017/Section-III/16.pdf
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    Citations

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    Cited by:

    1. Taekyung Kim & Hwirim Jo & Yerin Yhee & Chulmo Koo, 2022. "Robots, artificial intelligence, and service automation (RAISA) in hospitality: sentiment analysis of YouTube streaming data," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 259-275, March.
    2. Ian Sutherland & Youngseok Sim & Seul Ki Lee & Jaemun Byun & Kiattipoom Kiatkawsin, 2020. "Topic Modeling of Online Accommodation Reviews via Latent Dirichlet Allocation," Sustainability, MDPI, vol. 12(5), pages 1-15, February.
    3. Kitonsa, H. & Kruglikov, S. V., 2018. "Significance of drone technology for achievement of the United Nations sustainable development goals," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 4(3), pages 115-120.
    4. Suneel Kumar & Shekhar, 2020. "Digitalization: A Strategic Approach for Development of Tourism Industry in India," Paradigm, , vol. 24(1), pages 93-108, June.
    5. Jinsoo Hwang & Jawad Abbas & Kyuhyeon Joo & Seung-Woo Choo & Sunghyup Sean Hyun, 2022. "The Effects of Types of Service Providers on Experience Economy, Brand Attitude, and Brand Loyalty in the Restaurant Industry," IJERPH, MDPI, vol. 19(6), pages 1-15, March.
    6. Jinsoo Hwang & Kwang-Woo Lee & Dohyung Kim & Insin Kim, 2020. "Robotic Restaurant Marketing Strategies in the Era of the Fourth Industrial Revolution: Focusing on Perceived Innovativeness," Sustainability, MDPI, vol. 12(21), pages 1-18, November.

    More about this item

    Keywords

    tourism; service; robotics; automation;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption

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