institute of humanities and cultural studies new economy and trad 15 1 2020 03 20 Efficiency Evaluation of Export Development Bank of Iran Efficiency Evaluation of Export Development Bank of Iran 3 24 5688 10.30465/jnet.2020.5688 FA Abolfazl Shahabadi Professor, Faculty of Social Sciences and Economics, Alzahra University Mohammad Salehian Behrouz PH.D. Student of Department of Economics, Semnan University and Extert of Export Development Bank of Iran, Semnan University Journal Article 2019 07 05 In the measurement of efficiency, combining the Artificial Neural Network and Analytical<br />Hierarchy Process Model is one of the best methods that hasnot problems with traditional<br />methods and artificial neural network such as: their inability to consider multiple input and<br />output indicators, intregration of efficiency scores and obtaining the overall ranking of<br />branches and their efficiency evaluating of the multiple output units. the present study<br />combining the Artificial Neural Network and Analytical Hierarchy Process Model by<br />applying an intermediary perspective, variables of total deposit, costs of attracting sources,<br />operational costs as input and total facilities, profits obtained by facilities and earnings<br />which obtained by non-facilities (charge) as output variables to measure, evaluate and<br />compare the efficiency of branches of the Export Development Bank of Iran from 2004 to<br />2014. The results of this study showed that, among the evaluated branches based on<br />comprehensive efficiency benchmark, Central and Zanjan branches were the most efficient<br />ones from 2004 to 2008 and 2008 to 2014 respectively. In the measurement of efficiency, combining the Artificial Neural Network and Analytical<br />Hierarchy Process Model is one of the best methods that hasnot problems with traditional<br />methods and artificial neural network such as: their inability to consider multiple input and<br />output indicators, intregration of efficiency scores and obtaining the overall ranking of<br />branches and their efficiency evaluating of the multiple output units. the present study<br />combining the Artificial Neural Network and Analytical Hierarchy Process Model by<br />applying an intermediary perspective, variables of total deposit, costs of attracting sources,<br />operational costs as input and total facilities, profits obtained by facilities and earnings<br />which obtained by non-facilities (charge) as output variables to measure, evaluate and<br />compare the efficiency of branches of the Export Development Bank of Iran from 2004 to<br />2014. The results of this study showed that, among the evaluated branches based on<br />comprehensive efficiency benchmark, Central and Zanjan branches were the most efficient<br />ones from 2004 to 2008 and 2008 to 2014 respectively. http://jnet.ihcs.ac.ir/article_5688_27789d901bc809898a0626d66c5db689.pdf