Using multivariate analysis approaches in designing NSBM Model with considering undesirable variable and shared resources

Abstract

Due to the competitiveness of the banking industry and the increasing bargaining power of customers, evaluating the performance of banks is crucial to better serve classi ed customers in a universal system. In this paper, by dividing the customers into personal and business ones, methods such as Con rmatory Factor Analysis (CFA) and Structural Equation Model (SEM) were used for selecting appropriate variables of the Network Data Envelopment Analysis (NDEA) model based on the network slacks-based measure while considering undesirable variables and shared resources. The SEM model was used to establish a proper connection between di erent dimensions of the NDEA model, and the CFA model was used to identify the importance of each dimension. Moreover, the proposed model was used to evaluate the operational and decomposed universal e ciency of one of the Iranian bank branches (Bank Day). The results showed that the extracted model provided managers with a suitable perspective for adopting appropriate policies to promote banking performance in the di erent sectors including deposit attraction, nancial serving personal and business banking customers, and pro t generation and, also, to compare them based on di erent dimensions of the model.

A review of network DEA models based on slacks‐based measure: Evolution of literature, applications, and further research direction

“…Several network structures can be found in current systems, including series, parallel, and mixed structures (Kao and Hwang, 2010). Toudeshki et al (2020) add other possibilities for structures.…”