Document Type : Research Paper
Authors
1 1- PhD student in sports management, Faculty of Physical Education and Sports Sciences, Isfahan University, Isfahan, Iran
2 2- Associate Professor, Department of Sports Management, Faculty of Physical Education and Sports Sciences, Isfahan University, Isfahan, Iran (Corresponding Author)
3 Professor of Physical Education - Management and Planning. Department of Management and Planning in Physical Education, Faculty of Physical Education and Sports Sciences. Allameh Tabatabai University.iran
Abstract
This research has been done with the aim of ranking the mass financing methods in Iranian football clubs, the gray system research method is described by gray numbers, gray equations and gray matrices. The statistical population of the present research in this research is all officials and senior and middle managers of the football federation and all informed managers of professional football clubs. The title of the statistical sample was considered, and the available method was used for sampling. The collection tool in this research is a well-made questionnaire. The questionnaire is based on a 5-point Likert scale. In order to check the data of this research, the multi-indicator decision making modeling method of Ashashri and software (MCMDsoCver 2018) will be used. The results of the research show that the first rank is related to the trust-building component, the second rank is the creation of financial concentration, the third rank is the expansion of the penetration rate, and the fourth rank is the social driving factors in sports. Also, in the factor of creating financial concentration, being sensitive to public interests and creating process capital was the most important factor. In terms of expanding the penetration factor, the design of applications had the highest score. Also, in the factor of social stimuli in sports, the dimensions of the economic dimension and the attraction of supporters in sports were the most important factors. In the trust-building factor, high liquidity capacity shows the highest score.
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