Volume 21, Issue 1 (3-2024)
jor 2024, 21(1): 37-56 |
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Ghasemi Toudeshki H, Najafi E, Hosseinzadeh Lotfi F, Movahedi-Sobhani F. Using Factor Analysis to Extract the Weight and Importance of Each of the Steps of the NSBM Model in Universal Banking System. jor 2024; 21 (1) :37-56
URL: http://jamlu.liau.ac.ir/article-1-2096-en.html
URL: http://jamlu.liau.ac.ir/article-1-2096-en.html
Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Abstract: (184 Views)
Today, the managers of the banking industry desire to make optimal use of the available capacities in different sectors. Considering the segmentation of customers in the universal banking system, managers need to measure the efficiency using common models in data envelopment analysis in different parts such as: attracting deposits, providing financial services to the customer group and earning profit. The main issue that occurs in many real situations in evaluating the performance of the universal banking system is that in network data envelopment analysis models, extracting the importance of each of the stages will help to decision makers to guide their thinking to important sub-processes in order of higher priority. In this research, network data envelopment analysis (NDEA) model and the extraction of the weight of each stage based on the confirmatory factor analysis method with consideration of the undesirable variables and shared resources and finally measuring the efficiency of bank branches in the four stages of production (attracting deposits), serving personal and business customers and profitability has been noted. The proposed approach of the research can be used to monitor the performance of branches and make strategic decisions at different stages with the aim of improving the level of serving universal banking customer and profit making.
Keywords: Confirmatory Factor Analysis (CFA), Network Slack Based Model, Universal Banking, Undesirable Indicators, Common Resources
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