University of Guilan Journal of Sport Management and Development 2322-4800 13 2 2024 08 22 Factors Causing Sports Match-fixing Factors Causing Sports Match-fixing 88 107 8552 10.22124/jsmd.2023.20935.2624 FA Hoda Darboy Shahrood university of Technology Hadi Bagheri faculty member/ Shahrood University of Technology Journal Article 2021 11 06 <strong>Objective:</strong> The purpose of this study was to investigate the factors causing match-fixing in Iran sports. <strong>Methodology:</strong> This research was developed-exploratory that was done using qualitative content analysis method. The participants in the research were 9 sports management researchers, club/national team coaches, professional athletes, and sports journalists who knew about the phenomenon of collusion that were selected purposefully. With the theoretical saturation of the data, the sampling ended. Data collection was done using semi-structured interviews. The interviews were analyzed in three stages included open coding, combining codes and categorization. <strong>Results</strong>: The result of data analysis was the identification of 10 factors causing collusion in sports, which were categorized into three categories: "sports-related factors", "key actors’ relationships" and "management factors". <strong>Conclusion:</strong> According to the results, the fight against match-fixing requires the establishment of regulatory structures and the development of deterrent laws that both enhance the professional commitment of key sports actors and improve their financial situation. <strong>Objective:</strong> The purpose of this study was to investigate the factors causing match-fixing in Iran sports. <strong>Methodology:</strong> This research was developed-exploratory that was done using qualitative content analysis method. The participants in the research were 9 sports management researchers, club/national team coaches, professional athletes, and sports journalists who knew about the phenomenon of collusion that were selected purposefully. With the theoretical saturation of the data, the sampling ended. Data collection was done using semi-structured interviews. The interviews were analyzed in three stages included open coding, combining codes and categorization. <strong>Results</strong>: The result of data analysis was the identification of 10 factors causing collusion in sports, which were categorized into three categories: "sports-related factors", "key actors’ relationships" and "management factors". <strong>Conclusion:</strong> According to the results, the fight against match-fixing requires the establishment of regulatory structures and the development of deterrent laws that both enhance the professional commitment of key sports actors and improve their financial situation. https://jsmd.guilan.ac.ir/article_8552_3cd225cd714374db13d14e8548ea9036.pdf