Designing a comprehensive model for attracting donors in sports with the foundation s data theory approch

The purpose of this study is to design a model for attracting donors in sports with a data theory approach. The research method is qualitative and exploratory. The statistical population included experts, elites who were involved in charitable organizations, and experts from the Ministry of Sports and federations. Sampling method was used as non-probability sampling, with purposeful selection and with maximum variability or heterogeneity. The sample size in this study was 16 people and the open interview measurement tool was analyzed based on three stages of open coding, axial and selective. Based on data analysis, 171 basic concepts (open source), 37 core code and 13 selective code were identified. The results obtained from the analysis of qualitative interviews showed that causal factors from 4 main categories, 9 sub-categories and 39 primary codes, underlying factors from 3 main categories, 7 sub-categories and 37 primary codes, intervening factors from 2 categories Main, 5 subcategories and 24 primary codes Also, the strategies consist of 4 main categories, 9 subcategories and 51 primary codes and finally the consequences of 2 main categories, 4 subcategories and 11 primary codes.