Functional evaluation of organizations with the approach of data management unit analysis via Shipley value (Case Study: branches of Yazd city national bank)

Performance evaluation has become one of the basic concerns of managers of organizations in today’s competitive conditions. The window analysis method, by enabling the combination of observations in time and cross-sectional series, to some extent solves the problem of insufficient observations. Therefore, firstly, by using interviews with experts and reading the library and reviewing the subject literature, in order to evaluate the efficiency of bank branches, four input indicators. Up to the identified branches of Yazd city national bank, 40 bank branches were evaluated and analyzed. In the evaluation, the efficiency of 40 branches was evaluated using the crosssectional window data overlay analysis method, of which five branches were efficient, and in order to confirm the presented model, the efficiency of the branches was evaluated first with the window CCR model and then via Shipley value. The comparative results of the cross efficiency method and the integration algorithm were shown to be the same. Considering the efficiency of five bank branches, the cooperative game theory between efficient branches was established. Each efficient unit or branch was defined as a player and the set of efficient branches was defined as a coalition. Then, different coalitions were formed for each efficient DMU, and the income from the alliances was Each DMU was calculated and using the concept of Shipley value, the cooperative game value was obtained between efficient branches. At the result, 17 branches were introduced as the most efficient unit in the evaluation of hyper-efficiency.