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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
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    Cited by:

    1. 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.
    2. 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.
    3. 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.

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