A Study of Efficient and Inefficient Olympic Federations Using Data Envelopment Analysis

The purpose of the present research is to study efficient and inefficient Olympic federations using data envelopment analysis. This study is descriptive and retrospective and its data have been collected using field research. The statistical population consisted of 25 Olympic federations in the country and due to limited population, total sampling was used in the research. The data related to these federations in 1395 were collected. In order to determine the efficiency of the federations, data envelopment analysis was used. In data envelopment analysis, the first step is to determine the research input and output. To this aim, indices (strategies) of the federations determined by balanced scorecards were distributed throughout a questionnaire. In order to determine whether the evaluation indices are input or output, Chi-squared test was used and for recognizing unfavorable output factors of inefficient federations, output-centered CCR and BCC methods were used. SPSS and DEA SOLVER software were used for data analysis. The research results showed that with 95% certainty, from among 9 strategies (evaluation indices) in Olympic federations, 4 strategies are input and 5 strategies are output. Moreover, 7 federations in the CCR model and 6 federations in the BCC model were assessed to be inefficient.