Evaluation of bank branch growth potential using data envelopment analysis |
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| Institution: | 1. Graduate Program in Industrial and Systems Engineering, Pontifical Catholic University of Paraná, Curitiba, Paraná, Brazil;2. Department of Mechanical Engineering, School of Engineering, Tezpur University, Napaam, Tezpur-784 028, India;3. Graduate Program in Business Administration, Positivo University, Curitiba, Paraná, Brazil;4. Graduate Program in Numerical Methods in Engineering and Industrial Engineering, Federal University of Paraná, Curitiba, Paraná, Brazil;5. CEG-IST, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal;1. The School of Management, Xi’an Jiaotong University, Xi’an, PR China;2. Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, PR China;3. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, PR China;1. University of Southampton, United Kingdom;2. University of Valencia, Spain;1. School of Economics, Ocean University of China, Qingdao, China;2. Marine Development Studies Institute of OUC, Key Research Institute of Humanities and Social Sciences at Universities, Ministry of Education, Qingdao, China;3. Law School, Hainan University, Haikou, China;4. Research Center for Policy and Law of the South China Sea of Hainan Province, Haikou, China;5. Institute for Economic Forecasting, Romanian Academy, Romania;6. Bucharest University of Economic Studies, Romania |
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| Abstract: | Banks occasionally employ frontier efficiency analyses to objectively identify best practices within their organizations. Amongst such methods, Data Envelopment Analysis (DEA) was found to be one of the leading approaches. DEA has been successfully applied in many bank branch performance evaluations using traditional intermediation, profitability and production approaches. However, there has been little focus on assessing the growth potential of individual branches.This research presents five models that examine three perspectives of branch growth. Each model was applied to the branch network of one of Canada?s top five banks to gauge the growth potential of individual branches and to provide tailored improvement recommendations. Using various analysis methodologies, the results of each model were examined and their functionality assessed. |
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| Keywords: | Data envelopment analysis (DEA) Bank branch efficiency Operations research |
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