درخت حوزه‌های تخصصی

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.

Transference of professional sports clubs to private sector involves the necessary conditions for private sector activity. Therefore, the aim of this study was to determine the prerequisites for the transference of professional football clubs in Iran with emphasis on economic requirements. Statistical population included all CEOs and members of board of directors from professional football clubs, chairmen of committees and officials of provincial football boards, sports management and economics professors as well as football reporters. The research tool was a valid and reliable researcher-developed questionnaire. Factor analysis and Friedman ranking test were employed to analyze the research data. According to the results, the prerequisites for privatization were categorized in seven factors including cultural, executive, programming, motivational, legal, economic, and structural. Moreover, economic requirements (4.20) were the most important category, followed by executive (4.14), structural (4.04), motivational (4.02), legal (3.99), programming (3.97), and cultural requirements (3.62), respectively. Among the economic requirements, the transparency of financial information from country's football clubs, presence of strong sponsors and the creation of supportive funds for financial guarantee of private sector are in the first to third ranks, respectively. According to the findings the most important priority is to solve the financial problems and revenue generation of the clubs.