bank performance evaluation using dynamic dea: a slacks-based measure approach

Data envelopment analysis (dea) has been applied in many studies in the banking industry but deficiency of empirical studies in iranian banking sector that incorporate time factor into the efficiency, have still remained. previous studies measured the efficiency of bank branches in a single period within cross-sectional data. they did not consider the effect of interconnecting activities (links) between two consecutive terms. the main contribution of this paper is to evaluate the efficiency of an iranian bank using dynamic sbm model in dea during three consecutive terms considering net profit as a good link and loan losses as a bad link. in order to realize most the important variables (inputs-outputs), relative to our case, we made a checklist and distributed them among headmen of branches and arranged an interview with the ceo of the bank. dynamic sbm efficiency is compared with its static efficiency to check the validity of described model. in addition, input-bad link excesses and output-good link shortfalls (slacks) are analyzed and further suggestion to the management is provided.