Presenting a Mixed Model of Match-fixing in Iranian Football

Subject Areas : Sport Sciences Quarterly

Atefesadat Mirmahdavi ¹ , Vahid Shojaei ² , Mohammad Hami ³

1 - PhD student in Sports Management, Islamic Azad University, Sari Branch, Iran
2 -
3 - Associate Professor of Sports Management and Planning, Islamic Azad University, Sari Branch, Iran

Received: 2025-01-31 Accepted : 2025-02-09 Published : 2024-09-06

Keywords: : pathology, collusion, Iranian football,

Abstract :

Introduction: One of the different types of diseases in sports is match-fixing. In general, there is the possibility of match-fixing by players, coaches, club managers and referees, which makes the matches exciting. For this purpose, the purpose of the present study was to present a mixed model of match-fixing pathology in Iranian football.

Research Method: The research method is a mixed method and based on grounded theory. A semi-structured interview method was used to collect data. Data analysis and analysis was carried out using the Strauss and Corbin (1998) method. The statistical population of the qualitative section included 14 football experts in the legal and match-fixing pathology sectors. The sampling method was purposeful judgmental. Determining the number of 400 people in the statistical population in the first phase, 384 Arabic questionnaires were selected from incomplete and duplicate data for statistical analysis and analysis.

Studies: Based on the results of the qualitative data analysis from the interview, the analysis of the legal factors of collusion in Iranian football in criterion 5 includes the formats of causal conditions (4 concepts), background conditions (3 concepts), intervening conditions (4 concepts), strategies (4 concepts), consequences (3 concepts). The results were adjusted using analytic factor analysis and structural equations with SPSS and PLS software. The analysis format was also modeled from a suitable fit.

Conclusion: Football team managers should take measures to create ideal psychological conditions for players and select them to identify groups. 

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