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بررسی ساختار و روابط علی مولفه های قیمت گذاری محصولات گردشگری در زمان شیوع کرونا: رویکرد نگاشت شناختی فازی
[The Structure and Causal Relationships for the Pricing Components of Tourism Products During the COVID-19 Outbreak: Fuzzy Cognitive Mapping Approach]

Author

Listed:
  • Mirjalili, Seyed hossein
  • Dehghan Khavari, Saeed
  • Hekmat, saeedeh
  • Derakhsh, Vahideh

Abstract

Price, as an element of marketing, plays an essential role in the decision making of tourists as well as the income of tourism activists. Therefore, it is essential to identify the components and factors affecting the pricing process. The outbreak of COVID-19 in Iran has drawn the attention of tourism businesses to the necessity of the pricing process and updating the price of tourism products. We examined the pricing components of tourism products by qualitative-quantitative approach and using fuzzy cognitive mapping. We identified 29 pricing factors of tourism products using the opinion of 9 tourism experts. In the next step, 18 factors were selected in 4 dimensions using semi-structured interviews. Finally, we identified the most important components of tourism products’ pricing during the COVID-19 outbreak. The findings indicate that four components of cost coverage and loss prevention, purchasing power, survival in the tourism market, and the extent of tourist demand are more important than other components during the coronavirus outbreak.

Suggested Citation

  • Mirjalili, Seyed hossein & Dehghan Khavari, Saeed & Hekmat, saeedeh & Derakhsh, Vahideh, 2022. "بررسی ساختار و روابط علی مولفه های قیمت گذاری محصولات گردشگری در زمان شیوع کرونا: رویکرد نگاشت شناختی فازی [The Structure and Causal Relationships for the Pricing Components of Tourism Products Dur," MPRA Paper 125513, University Library of Munich, Germany, revised 28 Jan 2023.
    • Handle: RePEc:pra:mprapa:125513
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    References listed on IDEAS

    as
    1. Long, Yong & Shi, Pingping, 2017. "Pricing strategies of tour operator and online travel agency based on cooperation to achieve O2O model," Tourism Management, Elsevier, vol. 62(C), pages 302-311.
    2. Sergej Gričar & Štefan Bojnec & Vesna Karadžić & Tamara Backović, 2022. "Tourism price normalities in two Adriatic east coast 'euro' countries," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 4865-4883, December.
    3. Estelami, Hooman & Maxwell, Sarah, 2003. "Introduction to special issue: The behavioral aspects of pricing," Journal of Business Research, Elsevier, vol. 56(5), pages 353-354, May.
    Full references (including those not matched with items on IDEAS)

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    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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