Providing a model of the dynamic system of Iran's sports industry for the post-Corona era with a chaotic theory approach

The Covid-19 pandemic affected and stagnated all industries. How to deal with this period and its medium and long-term effects has greatly challenged all industries, including sports. The present study aims to provide a dynamic model of the post-corona era in terms of the chaos theory in the sports industry system. The method of study is Delphi, which was performed qualitatively in four rounds. Sampling of the study was Purposive sampling. In this study, sports management experts and psychometric experts were used as the target sample. To evaluate the adequacy of the research method, four experts were used as parallel samples to ensure the quality of the research. Vensim.PLE and Checkmate software were used for data analysis. The results of the research in the first round showed the degree of agreement of experts on the chaotic situation in the seven main statements as points of chaos and disorder. In the second round, points of familiarity and interactions between propositions were reported. In the third round, the future state of the sports industry was determined according to the main and sub-propositions obtained in the post-crown period, according to the main strategy matrix. The strategies required was determined by Grand matrix. Finally, the model of the dynamic system of the country's sports industry for the post-Corona era was drawn. In general, the implementation of such a system is a basic need of the post-corona era, and through it, the feedback cycle of the system can be identified in order to achieve order in the chaos and turmoil in the country's sports industry.