Performance Evaluation of Banks Using DEA (Case study: Guilan Saderat Bank Branches)
محورهای موضوعی : Data Envelopment Analysis
1 - Department of Industrial Management, Islamic Azad University-Rasht Branch,Rasht, Iran
2 - Young Researchers Club member, Business Administration in M.A., Islamic Azad University-Rasht Branch, Rasht, Iran
کلید واژه: Data Envelopment Analysis (DEA), Efficiency, Bank Branches,
چکیده مقاله :
Performance evaluation has been developed in the form of management schoolsalong by managerial thought development. Banks and financial institutes are oneof the most important economic sections to each country which by receipts andpayments directing and organizing facilitate business and commercialtransactions and develop markets and economic growth and as the main pillars indirecting and managing dispersed funds toward production units and regulatecash flow, have specific place in economic growth and inflation control.Therefore, it is necessary for banks to be aware about their branches efficiencyand take revision techniques into account for their future planning. In this paperBCC and CCR models (output-oriented) have been used to evaluate the efficiencyof 29 sample Saderat bank branches in Guilan Province.
Performance evaluation has been developed in the form of management schoolsalong by managerial thought development. Banks and financial institutes are oneof the most important economic sections to each country which by receipts andpayments directing and organizing facilitate business and commercialtransactions and develop markets and economic growth and as the main pillars indirecting and managing dispersed funds toward production units and regulatecash flow, have specific place in economic growth and inflation control.Therefore, it is necessary for banks to be aware about their branches efficiencyand take revision techniques into account for their future planning. In this paperBCC and CCR models (output-oriented) have been used to evaluate the efficiencyof 29 sample Saderat bank branches in Guilan Province.
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