The extant study aimed to prioritize the identified operational strategies of Saman Bank based on a scientific method considering the effective factors identified inside and outside this Bank. Operational strategies are common banking strategies worldwide that first-class banks implement. The scientific segmentation steps, techniques, and criteria in Saman Bank were described and the identified strategies were tested using a scientific assumptions-based method. The obtained results were analyzed in the next step. The statistical population of the study comprised managers of Tehran branches and staff managers of Saman bank. The data were collected through a questionnaire. Eighty-four questionnaires were gathered from staff and line managers. Regression, Friedman test, and ANOVA were used to test hypotheses considering the questionnaire data. According to findings obtained from hypothesis testing, corporate banking was introduced as the best operational strategy in Saman Bank considering the competitive advantages of this bank and factors affecting the internal and external environment of the bank. Moreover, private banking, investment banking, retail banking, and international banking were at the next ranks of strategies.

Articles in which nonparametric data envelopment analysis (DEA) is applied to estimate the efficiency based on a network structure usually consider the desirable intermediary parts that are the first stage’s outputs to be used as the second stage’s inputs. In many real-life situations, the intermediary parameters include desirable and undesirable outputs. This issue has drawn much attention from DEA researchers in recent years. The main motivation for this application is weak disposability for modeling the networks with undesirable intermediary parts. Undesirable outputs have been investigated in this study in two forms, i.e., the final outputs or intermediary parameters. In both cases, the non-cooperative game theory is offered for evaluating the relative efficiency of the executive units. In 2008, a real case was explicated for 39 airports in Spain in applied analysis of the proposed approaches.