IDEAS home Printed from https://ideas.repec.org/a/taf/jgsmks/v24y2014i1p77-88.html
   My bibliography  Save this article

Images of agri-tourism: evidence from Germany

Author

Listed:
  • Katia Laura Sidali

Abstract

Based on a classical approach, this paper analyses the cognitive and affective properties of attitude and develops a structural equation model to explain the determinants of preference for farm tourism. The findings of this study reveal that attitude and large-sized families have a positive influence on choice. Furthermore, it appears that the traditional image of German farm tourism has been replaced by a more dynamic one. However, this tourist form still has to cope with stereotypes as well as a perceived deficit of quality standards.

Suggested Citation

  • Katia Laura Sidali, 2014. "Images of agri-tourism: evidence from Germany," Journal of Global Scholars of Marketing Science, Taylor & Francis Journals, vol. 24(1), pages 77-88, January.
  • Handle: RePEc:taf:jgsmks:v:24:y:2014:i:1:p:77-88
    DOI: 10.1080/21639159.2013.852912
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/21639159.2013.852912
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/21639159.2013.852912?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. Whang, Haesung & Yong, Sunghwa & Ko, Eunju, 2016. "Pop culture, destination images, and visit intentions: Theory and research on travel motivations of Chinese and Russian tourists," Journal of Business Research, Elsevier, vol. 69(2), pages 631-641.

    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:jgsmks:v:24:y:2014:i:1:p:77-88. 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/RGAM20 .

    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.