ابوالفضل فراهانی

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.

The purpose of this study was to develop a scale for measuring the service quality in sport scientific journals. A mixed approach was conducted to fulfill the research objectives. In qualitative phase 15 sport paper writer were interviewed and in quantitative phase, 357 sport researchers were studied through systematic random sampling. The face and content validity of the scale was confirmed by 15 experts and the final questionnaire of the scientific journals service quality was provided to 29 subjects. 26 items were ranked in five factors (accountability speed, executive structure, trustworthiness, employees and updating) based on exploratory factor analysis with orthogonal rotation. Cronbach's alpha, KMO, Bartlett Test and confirmatory factor analysis were used by SPSS and LISREL for data analysis. It is worth noting that the results of confirmatory factor analysis and Cronbach's alpha coefficient (0.91) supported the five-factor structure of JourQual scale and confirmed its validity and reliability.