Analysis of Obstacles and Strategies to the Development of Event-Based Tourism in the Qamsar Rose-picking in Kashan: Application of a Mixed Delphi-Fuzzy Approach

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Department of Management and Entrepreneurship, Faculty of Economics and Accounting, Razi University, Kermanshah, Iran.

Abstract

The main objective of this research was to analyze the obstacles and strategies for the development of event-based tourism in the Qamsar rose-picking event in Kashan. The general approach of the present research was mixed and was carried out using the Delphi-fuzzy method. The study population included all experts in all relevant communities in the field of event-based tourism in the Qamsar rose-picking event in Kashan. The sampling method was purposeful snowball type and data saturation was achieved through interviews with 16 people. In the quantitative part, identification strategies were also prioritized by the experts. In order to process the data, the three-stage coding technique was used in the qualitative part and the fuzzy method was used in the quantitative part, using SPSS22 and Excel13 software. Accordingly, in the first phase of the research, 30 concepts were identified in the open coding stage, which were finally placed in 6 categories in the axial coding stage, including infrastructure, socio-cultural, managerial, marketing, economic, and political-legal barriers, and the research model was presented in the selective coding stage. Next, event-based tourism development strategies were identified in the Qamsar rose-picking event in Kashan, in which 24 codes (strategies) were identified in this section and classified into 6 categories, and then in the fuzzy (quantitative) section, scoring and prioritization were carried out, which in order of importance included strategies of political-legal (0.807), marketing (0.777), economic (0.773), managerial (0.748), infrastructure (0.740), and cultural-social (0.719).

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Journal of Studies in Entrepreneurship and Sustainable Agricultural Development

Articles in Press, Accepted Manuscript
Available Online from 16 November 2025

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