Determine superefficiency and identify undesirable output factors the Olympic Federations of Iran

The purpose of this study was determine superefficiency and identify undesirable output factors the Olympic Federations the country. This study is type descriptive and retrospective the information was collected, to field. Statistical population study included was 25 Olympic federations of the country. Due to the low number of this population Sampling of the total number was used. Data was collected federations For the year 2017. In order to determine the efficiency of federations, the used DEA model. In Data envelopment analysis method is the first step in determining the inputs and outputs of the research. For this reason, strategies of the federations were determined by the balanced scorecard model in the form of a questionnaire distributed. In order to determine the input or output indicators of the evaluation the Chi square test, identify undesirable output factors of inefficient federations in two methods of CCR and BCC output-axis and in order to rank the federations' superefficiency score was used from the Anderson Peterson ranking model. SPSS and DEA Solver software were used to analyze the data. The results showed that in the CCR model, seven federations and in the BCC model, six federations were inefficient. Also, the ranking results showed that in CCR model, equestrian, weightlifting and hockey federations ranked first to third and in BCC model, football, wrestling and handball federations ranked first to third. It can be concluded that federations that their resources to produce optimal outputs have maximized their use, superefficiency scores earned and ranked higher.