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Modelling Tourists’ Acceptance of Hotel Experience-Enhancement Smart Technologies

Author

Listed:
  • Cynthia (Huiying) Hou
  • Donglin Han
  • Wu Hao
  • Joseph Lai

Abstract

Whereas the use of specific smart technologies in various sectors of the tourism industry has been under greater scrutiny in recent years, research that investigates tourists’ acceptance of smart technologies applied as a whole to hotels is underexplored. To address this shortfall, a study with a focus on tourists’ acceptance of experience-enhancement smart technologies has been conducted. A technology acceptance model based conceptual framework was developed, followed by a series of interviews with the managerial staff of ten hotels in Hong Kong that adopt experi-ence-enhancement smart technologies. Based on the interview findings, a questionnaire was de-signed for use in a survey in which data were collected face-to-face from 312 tourists. Structural equation modelling was utilised to reveal the interrelationships between nine technology ac-ceptance parameters. This study contributes knowledge to both real-world practice and research in tourism management.

Suggested Citation

  • Cynthia (Huiying) Hou & Donglin Han & Wu Hao & Joseph Lai, 2021. "Modelling Tourists’ Acceptance of Hotel Experience-Enhancement Smart Technologies," ERES eres2021_213, European Real Estate Society (ERES).
    • Handle: RePEc:arz:wpaper:eres2021_213
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    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2021-213
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    Cited by:

    1. Shuxian Li & Shan Jiang, 2023. "The Technology Acceptance on AR Memorable Tourism Experience—The Empirical Evidence from China," Sustainability, MDPI, vol. 15(18), pages 1-19, September.
    2. Yanfang Zeng & Lihua Liu & Rui Xu, 2022. "The Effects of a Virtual Reality Tourism Experience on Tourist’s Cultural Dissemination Behavior," Tourism and Hospitality, MDPI, vol. 3(1), pages 1-16, March.

    More about this item

    Keywords

    Experience-enhancement smart technology; Hotel; Structural equation modelling; technology acceptance model;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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