Document Type : Research Paper
Authors
1 PhD student in Sports Management, University of Science and Research, Islamic Azad University of Tehran, Iran
2 Professor in Sport Manager of Payame Noor University
3 Professor of Sports Management at Islamic Azad University
4 Assistant Professor, Department of Sports Sciences, Faculty of Humanities and Social Sciences, Tehran Science and Research Unit, Islamic Azad University, Tehran, Iran
Abstract
The aim of this study was structural interpretive modeling of the sustainable development of sports destinations with an emphasis on tourists' behavior. The method of this research is mixed. The participants of this research were experts. The criteria for selecting experts in the qualitative section was theoretical saturation, and 17 people were selected using the purposeful sampling method and snowball strategy, then the people identified in the qualitative section were used for structural-interpretive analysis in the quantitative section. The data collection tool in the qualitative part was a semi-structured interview, and in the quantitative part, it was a 9x9 square matrix. For the validity and reliability of the results, the strategies of believability, transferability, verifiability, process audit study and intra-subject agreement of two coders were used. Qualitative data analysis was done with two stages of initial coding and focused coding, and quantitative data analysis was done with interpretive structural modeling and Mick Mac analysis. The findings showed 9 behaviors compatible with the sustainable development of sports destinations, based on the interpretive structural analysis, the relationship between the behaviors was categorized into 5 levels, and based on that, a hierarchical relationship model was created that shows the sustainable development of sports destinations through the reduction of resource consumption. And prevention of distortions of local culture can be predicted.
Keywords
- Sustainable development
- tourist behavior
- sports tourism
- sports destinations
- interpretive structural modeling
Main Subjects
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