IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-02538802.html
   My bibliography  Save this paper

Tourism Web Aceptance Model (TWAM) : A study of intention to book e-tourism product

Author

Listed:
  • Alia Besbes Sahli

    (GRANEM - Groupe de Recherche Angevin en Economie et Management - UA - Université d'Angers - AGROCAMPUS OUEST - Institut National de l'Horticulture et du Paysage)

  • Patrick Legoherel

    (GRANEM - Groupe de Recherche Angevin en Economie et Management - UA - Université d'Angers - AGROCAMPUS OUEST - Institut National de l'Horticulture et du Paysage)

Abstract

The tourism web acceptance model (T-WAM) is a model of consumers' acceptance of information technology (IT) designed for e-tourism. The model aims to explain intention to book tourism products online better than other models do. Results from a survey collected from 389 Tunisian consumers show that the T-WAM is more robust than other models and theories (e.g. TAM, TPB, DTPB, flow theory) to explain behavioral intention in the context of e-tourism. The explained variance of intention to book is about 51% (R² = 50.6%). Results are discussed in detail, and recommendations, limitations, and suggestions for future research are provided.

Suggested Citation

  • Alia Besbes Sahli & Patrick Legoherel, 2016. "Tourism Web Aceptance Model (TWAM) : A study of intention to book e-tourism product," Post-Print hal-02538802, HAL.
  • Handle: RePEc:hal:journl:hal-02538802
    DOI: 10.1177/1356766715607589
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Laddawan Kaewkitipong & Charlie Chen & Peter Ractham, 2021. "Examining Factors Influencing COVID-19 Vaccine Tourism for International Tourists," Sustainability, MDPI, vol. 13(22), pages 1-18, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-02538802. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.