مسعود نادریان جهرمی

The overall purpose of this study was to perform a descriptive research on fear of crime, its related individual factors and sports environments, as well as the occurrence of inappropriate behavior by fans at stadiums . The research tool was a researcher-developed questionnaire that was found to be valid and reliable. 315 football fans completed the questionnaires at Fooladshahr Stadium in Isfahan, Iran in the second half of 2019. The results showed that the variables of age, level of education and marital status had a significant relationship with fear of crime. Among the teens, 13 to 17 years old, fear of crime was less than the youth while among the youth, it was more considerable than adults. Other individual variables (ethnicity, parents' income and family cultural environment) did not have a significant relationship with fear of crime. Variables related to sports environments, group of friends, rudeness at stadiums, the quality of sports environments, extreme attachment to a team, and crime perception in sports environments are also significantly related to fear of crime .  This study emphasizes the need for special attention of sports and security officials to the strict implementation of laws, as well as updating the laws in line with developments and training of fans behavior at stadiums.

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.

Although the succession planning literature focuses more on managerial and staffing levels in organizations, it can also be used for players in clubs and sport teams. The purpose of the research was to identify and evaluate a model of player succession in Iranian football premier League. The research method was mixed (qualitative and quantitative). The statistical population of this research in the qualitative section includes 16 specialists and experts in football, and in the quantitative part of the research, all managers, athletes, coaches and football referees in the Premier League in 2020, and finally 286 subjects were studied through stratified random sampling in quantitative phase. Research hypotheses were examined using correlations and structural equations modelling . A total of 189 primary codes (concepts) were extracted in the coding process, which after validation, 33 primary codes (concepts) were compiled. In the model, causal conditions included binding or motivating factors as well as the process of replacing players. Underlying conditions involved networking to develop a player replacement program, interacting with other organizations, formulating binding strategies, and setting a budget to promote win-win thinking in the football club succession program in Iran.