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Transactions: WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS
Transactions ID Number: 32-803
Full Name: Li-Chan Chen
Position: Lecturer
Age: ON
Sex: Female
Address: No.1, XinXing Road, Xinfeng, Hsinchu 304
Country: TAIWAN
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E-mail address: clchen@must.edu.tw
Other E-mails: g9522812@gmail.com
Title of the Paper: Evaluating branch efficiency for a Taiwanese bank by using data envelopment analysis with an undesirable factor
Authors as they appear in the Paper: Ke-Chiun Chang, Chia-Fu Lu, Li-Chan Chen
Email addresses of all the authors: kechiun@gmail.com, luchiafu.ms4@gmail.com, clchen@must.edu.tw
Number of paper pages: 11
Abstract: This study applies a novel evaluation model to identify resource utility rate in the banking sector for enhancing branch operations. The data envelopment analysis (DEA) model including undesirable-factor developed by Seiford and Zhu is used to determine the operational efficiency of each studied bank branch. This study identifies non-performing loan ratio as an undesirable output. Results indicate that the average efficiency score for the subject banks is 92.25%, and 26 efficiency branches comprising 17.2% of the sample. Furthermore, the efficiency score differs between traditional DEA and the undesirable-factor DEA model considered here. Insufficient branches generally exhibit wasted personnel expenses and low profits. The study results can offer feasible strategies for adoption by bank branch managers to enhance performance.
Keywords: Undesirable-factor, Data envelopment analysis, Performance evaluation
EXTENSION of the file: .doc
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