Enhancing Efficiency: A Multilevel Evaluation of Bank Shahr Branches in Tehran
Subject Areas : Data Envelopment Analysisسیده سارا حسینی 1 , سمیه رحمانی 2
1 - Department of Electrical, Computer and Biomedical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
2 - Department of Electrical, Computer and Biomedical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Keywords: Multi-Criteria Decision Making, Performance Evaluation, Topsis, Data Envelopment Analysis.,
Abstract :
This study aims to evaluate the performance of different branches of Shahr Bank in Tehran by employing the TOPSIS method and Data Envelopment Analysis (DEA). The objective is to consider both customer-centric conditions and the core requirements of the organization simultaneously. The TOPSIS method provides a comprehensive assessment of the relative efficiency of decision-making units from both the customer and organization perspectives. Subsequently, at a higher level, the Data Envelopment Analysis models are utilized to integrate the results and determine the efficiency weight assigned to each branch. The findings reveal that the Shohada Square and Ferdowsi Square branches exhibited full (100%) efficiency in 2017, distinguishing them as top performers. Conversely, the remaining branches were identified as inefficient, indicating room for improvement. Specifically, the data analysis highlights the South Terminal Branch as operating at the lowest performance levels, underscoring the need for targeted interventions and improvement scenarios to enhance its efficiency. This research contributes to the field by combining multiple evaluation approaches to provide a comprehensive evaluation framework for branch performance. The results offer insights that can inform decision-making processes and guide efforts to optimize the overall efficiency of Shahr Bank branches.