Abstract
This paper empirically evaluates group efficiency in the banking sector by applying an extended Common Set of Weights (CSWs) approach within a two-stage Data Envelopment Analysis (DEA) framework. Our study assesses efficiency across multiple production stages and adapts CSWs to capture the intermediate processes inherent in banking operations. We provide a comprehensive ranking of bank branches within seven prominent banking groups in Guilan province, Iran. By applying our modified methodology to real-world data, we demonstrate its practical utility in delivering precise efficiency assessments and actionable insights for enhancing operational performance. Our findings highlight the superiority of the extended CSWs methodology over traditional DEA models, offering a more accurate and fair evaluation of group efficiency in the complex and interdependent context of banking processes.
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