علی محمد صفانیا

The main purpose of this study was to provide a framework of effective components in Iranian championship sports with a data mining approach. The research method was qualitative. The advanced search was performed in the general framework of factors affecting the sports industry and development and integration with data-driven technologies. Based on the literature review, 15 frameworks in the field of sports and 13 frameworks for the development and integration of the sports industry with technology were identified. After the data analysis, a researcher-developed framework for the championship sports industry for the use of data-driven technologies and data mining was presented in three parts. In the first part, nine influential factors including athletes/champion teams, leagues/clubs, stadiums/sports venues, fans/spectators, brands, media, government, academic/research institutions, and technology companies, were identified. In the second part, a strategic plan based on the development and integration of sports industry with data-driven technologies and data mining was presented, which includes four stages: Identifying and selecting talents, pre-game and match preparation, in-game and match activities, and post-match and match analysis. All data-driven activities and data mining in the first and second sections were performed by the IBM data science analysis methodology presented in the third section. Then, a conceptual framework was provided to 7 experts and their opinions were collected through semi-structured interviews and focus group methods. This conceptual framework enables sports managers to plan for their organization and adopt appropriate strategies using data-driven technologies and data mining.

Present research is considered applied-developmental in its objective and qualitative concerning the research nature of data, and the research design was the interpretative structural model (ISM). In order to gather data, semi-structured in-depth interviews with experts in the consumer behavior domain, selected by theoretical sampling, have been utilized. The statistical population includes all sports managers, sports specialists, and fans, and sampling continued until theoretical sufficiency was achieved. After research completion, results were sent to two participants, and their opinions were approved by identifying indices related to football fans' superstitious behavior to draw the interpretative- structural model of factors influencing football fans' superstitious behavior. The result indicated the level of dependence and influence power of each index according to which individual characteristics and environmental conditions in the region under the influence include inculcation index in the autonomous region (independent) and indices of relief, the transmission of evil, coercion, and deterrence in the dependent region.