Abstract
Integrated resilience engineering (IRE) is capable of returning banking systems to normal state in extensive economic circumstances. In this study, information system of a large bank (with several branches) is assessed and optimized under severe economic conditions. Data envelopment analysis (DEA) models are employed to achieve the objective of this study. Nine IRE factors are considered to be the outputs and a dummy variable is defined as the input of the DEA models. Standard questionnaire is designed and distributed among executive managers to be considered as the decision-making units (DMUs). Reliability and validity of the questionnaire is examined based on Cronbach's alpha and t-test. The most appropriate DEA model is determined based on average efficiency and normality test. It is shown that the proposed integrated design provides higher efficiency than conventional resilience engineering design. Results of sensitivity and perturbation analysis indicate that self-organization, fault tolerance and reporting culture respectively compose about 50 percent of total weight.
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