The aim of this study was to present a model of key success factors in the process of sports businesses. This research is applied in terms of purpose and due to the combination of qualitative and quantitative research is part of mixed research. The interviewees in this study included managers, marketing professors, business owners and startups, and sports entrepreneurs across the country. The statistical population was a small part of the same people in addition to postgraduate students in the field of physical education and the final questionnaire was given to them. 275 questionnaires were answered correctly. In this research, foundation data theory was used. Data analysis was performed in two parts: descriptive statistics and inferential statistics using Smart PLS and SPSS software. Data were divided into 10 concepts by examining open source and analyzing them. These concepts include infrastructure and support (5 codes), business plan (7 codes), access to capital (4 codes), legality (5 codes), branding (3 codes), networking (5 codes), entrepreneurship readiness (3 codes) , Technology (4 codes), demand (5 codes) and advertising and marketing (5 codes). The results of confirmatory factor analysis showed that the research model has a good fit and its validity and reliability were confirmed and the key factors of success in sports businesses derive from the identified components. Finally, the results of Friedman ranking test showed that among the components of factors There is a significant difference in the success of sports businesses. The aim of this study was to present a model of key success factors in the process of sports businesses. This research is applied in terms of purpose and due to the combination of qualitative and quantitative research is part of mixed research. The interviewees in this study included managers, marketing professors, business owners and startups, and sports entrepreneurs across the country. The statistical population was a small part of the same people in addition to postgraduate students in the field of physical education and the final questionnaire was given to them. 275 questionnaires were answered correctly. In this research, foundation data theory was used. Data analysis was performed in two parts: descriptive statistics and inferential statistics using Smart PLS and SPSS software. Data were divided into 10 concepts by examining open source and analyzing them. These concepts include infrastructure and support (5 codes), business plan (7 codes), access to capital (4 codes), legality (5 codes), branding (3 codes), networking (5 codes), entrepreneurship readiness (3 codes) , Technology (4 codes), demand (5 codes) and advertising and marketing (5 codes). The results of confirmatory factor analysis showed that the research model has a good fit and its validity and reliability were confirmed and the key factors of success in sports businesses derive from the identified components. Finally, the results of Friedman ranking test showed that among the components of factors There is a significant difference in the success of sports businesses. Technology (4 codes), demand (5 codes) and advertising and marketing (5 codes). The results of confirmatory factor analysis showed that the research model has a good fit and its validity and reliability were confirmed and the key factors of success in sports businesses derive from the identified components. Finally, the results of Friedman ranking test showed that among the components of factors There is a significant difference in the success of sports businesses.

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