Designing a Model and Prioritizing the Factors Affecting the Formation of Sport Start-Ups

The growth of start-ups affects the country's economy, which creates employment and sometimes prevents the closure of businesses. The purpose of this study was to design a model and prioritize the factors affecting the formation of sports startups with a structural equation modeling approach. The research method was mixed (qualitative-quantitative) with exploratory approach. The statistical population of the quality section consisted of 15 professors of sports management and start-up experts. In the quantity section, there were graduate students who needed between 5 and 10 people for each question. 300 statistical samples were selected by proportional stratified sampling method. The data collection tool in the qualitative section of the interview was semi-structured and the results of this interview were designed in the form of a questionnaire with 4 main factors and 13 sub-factors. The content validity of the questionnaire was confirmed by 15 sports management professors and experts and the construct validity was confirmed by exploratory and confirmatory factor analysis. For modeling structural equations and other tests were used by AMOS and SPSS soft wares, Version 23. Adequacy of sample size was reported KMO =0.78 and the goodness test indices of the fit of the model and the final model in 4 managerial, commercial, environmental and technical factors were confirmed. It is suggested that in order to form sports startups, by analyzing each of the factors, they provide the ground for reducing possible problems and obstacles and increase the probability of their startup's success.