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A TAM-Based Model of Technological Factors Affecting Use of E-Tourism

Author

Listed:
  • Ghazi Alkhatib

    (The Hashemite University (Retired), Jordan)

  • Sinamis Tahsin Bayouq

    (University of Bedfordshire, Jordan)

Abstract

In tourism, ICT provides new channels anywhere/anytime for tourism services that impacted how customers access and consume those services, hence the emergence of the concept of e-tourism. Internet can be used to attract customers, communicate with them, customize their required services, access international markets, and provide all types of touristic information through e-tourism platforms. The salient feature of this research is to identify the key technological factors that influence customers' acceptance and use of the services provided through e-tourism platforms. Other behavioral aspects related to the use of these services are treated as exogenous factors. The study constructed an e-tourism technology acceptance model (ETAM) concentrating only on technology-related factors. To assist in understanding how users will reflect in these four technological factors affecting the use of e-services, the model recognizes two moderating influential factors: trust and attitude. The model is augmented with exogenous factors as intervening factors related to customer's background.

Suggested Citation

  • Ghazi Alkhatib & Sinamis Tahsin Bayouq, 2021. "A TAM-Based Model of Technological Factors Affecting Use of E-Tourism," International Journal of Tourism and Hospitality Management in the Digital Age (IJTHMDA), IGI Global Scientific Publishing, vol. 5(2), pages 50-67, July.
    • Handle: RePEc:igg:jthmda:v:5:y:2021:i:2:p:50-67
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    References listed on IDEAS

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    1. Chen, Ying-Hueih & Hsu, I-Chieh & Lin, Chia-Chen, 2010. "Website attributes that increase consumer purchase intention: A conjoint analysis," Journal of Business Research, Elsevier, vol. 63(9-10), pages 1007-1014, September.
    2. Oecd, 2013. "Electronic and Mobile Commerce," OECD Digital Economy Papers 228, OECD Publishing.
    3. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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