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Does the Implementation of Robots in Hotels Influence the Overall TripAdvisor Rating? A Text Mining Analysis from the Industry 5.0 Approach

Author

Listed:
  • Alicia Orea-Giner

    (URJC - Universidad Rey Juan Carlos [Madrid], EIREST - Équipe interdisciplinaire de recherches sur le tourisme - UP1 - Université Paris 1 Panthéon-Sorbonne)

  • Laura Fuentes-Moraleda
  • Teresa Villacé-Molinero
  • Ana Muñoz-Mazón
  • Jorge Calero-Sanz

Abstract

No abstract is available for this item.

Suggested Citation

  • Alicia Orea-Giner & Laura Fuentes-Moraleda & Teresa Villacé-Molinero & Ana Muñoz-Mazón & Jorge Calero-Sanz, 2022. "Does the Implementation of Robots in Hotels Influence the Overall TripAdvisor Rating? A Text Mining Analysis from the Industry 5.0 Approach," Post-Print hal-04039195, HAL.
    • Handle: RePEc:hal:journl:hal-04039195
    DOI: 10.1016/j.tourman.2022.104586
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    Cited by:

    1. Camelia Surugiu & Marius-Răzvan Surugiu & Cătălin Grădinaru, 2023. "Targeting Creativity Through Sentiment Analysis: A Survey on Bucharest City Tourism," SAGE Open, , vol. 13(2), pages 21582440231, April.
    2. Mukherjee, Abheek Anjan & Raj, Alok & Aggarwal, Shikha, 2023. "Identification of barriers and their mitigation strategies for industry 5.0 implementation in emerging economies," International Journal of Production Economics, Elsevier, vol. 257(C).
    3. Ruochen Yang & Kun Liu & Chang Su & Shiro Takeda & Junhua Zhang & Shuhao Liu, 2023. "Quantitative Analysis of Seasonality and the Impact of COVID-19 on Tourists’ Use of Urban Green Space in Okinawa: An ARIMA Modeling Approach Using Web Review Data," Land, MDPI, vol. 12(5), pages 1-25, May.

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