Document Type : Original Article
Authors
1 PhD in Marketing and Media Management in Sports, Razi University
2 Associate Professor, Faculty of Physical Education and Sports Sciences, Razi University
3 Assistant Professor, Faculty of Physical Education and Sports Sciences, Razi University
Abstract
The purpose of this study is to identify and evaluate the drivers of network-based corruption and its functions in sports. The method of problem solving in this descriptive-analytical research is mathematical modeling and multi-criteria decision making is fuzzy. The research population is 10 university professors who have a history of research and study in the field of corruption. The factors of this research have been identified by reviewing the theoretical literature and research background. To analyze the data, the combined method of fuzzy multi-criteria decision theory including ANP based on DEMATEL (Denp) was used. Based on the findings of the present study, 12 indicators (stimuli) were identified in 3 main dimensions (functions), of which combination factors with a D-R value of 0.237 were identified as the most effective and also protective factors with a D-R value of -0.254 were identified as the most impressive.
The results of stimulus prioritization for network formation from the participants' point of view showed that protective stimuli including risk reduction, concealment and trust have the highest final weight.
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