IDEAS home Printed from https://ideas.repec.org/a/ids/ijsoma/v26y2017i2p186-210.html
   My bibliography  Save this article

Factors influencing on Iran's image as a tourism destination

Author

Listed:
  • Somaye Mahmoudi
  • Bahram Ranjbarian
  • Saeed Fathi

Abstract

The purpose of this study is to identify the factors influencing on image of Iran as perceived by potential tourists by fuzzy-Delphi technique and also to develop a model to measure Iran's image. For this purpose, a sequential-explanatory mixed method approach was adopted. The statistical populations of both quantitative and qualitative studies include the members of Coach Surfing and Linked-In social networks. In order to identify the dimensions of the destination image, the content analysis technique was employed. The results of fuzzy-Delphi technique showed that the perceived risk, familiarity and Middle East image were found to be the effective factors determining the image of Iran. The quantitative data were analysed through confirmatory factor analysis in the AMOS software. The findings showed that the perceived risks, the image of Middle East region and tourists' familiarity with the destination affect the destination image and destination image in turn affects the tourists' intention to visit Iran.

Suggested Citation

  • Somaye Mahmoudi & Bahram Ranjbarian & Saeed Fathi, 2017. "Factors influencing on Iran's image as a tourism destination," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 26(2), pages 186-210.
    • Handle: RePEc:ids:ijsoma:v:26:y:2017:i:2:p:186-210
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=81490
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Michael Huber & Nikola Komatina & Vladan Paunović & Snežana Nestić, 2023. "Analysis of the Relationship between the Organizational Resilience Factors and Key Performance Indicators’ Recovery Time in Uncertain Environments in Industrial Enterprises," Mathematics, MDPI, vol. 11(14), pages 1-19, July.
    2. Aleksandar Aleksić & Snežana Nestić & Michael Huber & Nikolina Ljepava, 2022. "The Assessment of the Key Competences for Lifelong Learning—The Fuzzy Model Approach for Sustainable Education," Sustainability, MDPI, vol. 14(5), pages 1-15, February.
    3. Mohammad Nematpour & Masood Khodadadi & Sarasadat Makian & Mohammad Ghaffari, 2023. "Future scenarios for improving Iran's overall destination image and attractiveness: A supply‐side perspective," Futures & Foresight Science, John Wiley & Sons, vol. 5(1), March.

    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:ids:ijsoma:v:26:y:2017:i:2:p:186-210. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=150 .

    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.