IDEAS home Printed from https://ideas.repec.org/a/taf/rcitxx/v25y2022i4p650-673.html
   My bibliography  Save this article

The relevance of motivation, authenticity and destination image to explain future behavioural intention in a UNESCO World Heritage Site

Author

Listed:
  • Vivina Carreira
  • M. Rosario González-Rodríguez
  • M. Carmen Díaz-Fernández

Abstract

This paper falls within the scope of heritage tourism studies, focusing particularly on one UNESCO World Heritage Site. It seeks to contribute to tourism literature by achieving a better understanding of which cognitive and affective factors are behind tourists’ decisions to travel to these sites, their experiences during their visit and behavioural intention after the visit. A self-administered questionnaire focusing on the variables included in the proposed research model was given to tourists. A composite-based structural equation modelling approach was employed for the analysis. The findings revealed a significant and high correlation between travel attitude and perceived authenticity, travel motivations and destination image, and authenticity and destination image, but it goes beyond those relations by analyzing them in an integrated manner and at different stages of the visit to comprehend tourist behavioural intention after the visit. Besides the theoretical advancements with this study, the practical and managerial implications must be emphasized particularly for entities responsible for destination marketing that may be able to use the outcome of our research to work on proper promotion strategies.

Suggested Citation

  • Vivina Carreira & M. Rosario González-Rodríguez & M. Carmen Díaz-Fernández, 2022. "The relevance of motivation, authenticity and destination image to explain future behavioural intention in a UNESCO World Heritage Site," Current Issues in Tourism, Taylor & Francis Journals, vol. 25(4), pages 650-673, February.
  • Handle: RePEc:taf:rcitxx:v:25:y:2022:i:4:p:650-673
    DOI: 10.1080/13683500.2021.1905617
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13683500.2021.1905617
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13683500.2021.1905617?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Alper Bozkurt & Ferhat Şeker, 2023. "Harmonizing Heritage and Artificial Neural Networks: The Role of Sustainable Tourism in UNESCO World Heritage Sites," Sustainability, MDPI, vol. 15(17), pages 1-17, August.

    More about this item

    Statistics

    Access and download statistics

    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:taf:rcitxx:v:25:y:2022:i:4:p:650-673. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rcit .

    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.