Data Envelopment Analysis: The Assessment of Performance
Data Envelopment Analysis: The Assessment of Performance
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Operation analysis and performance assessment for TFT-LCD manufacturers using improved DEA
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Measuring the efficiency of customer satisfaction and loyalty for mobile phone brands with DEA
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
DEA based multi-period evaluation system for research in academia
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Measuring the true managerial efficiency of bank branches in Taiwan: A three-stage DEA analysis
Expert Systems with Applications: An International Journal
A learning performance evaluation with benchmarking concept for English writing courses
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Two-stage DEA: An application to major Brazilian banks
Expert Systems with Applications: An International Journal
Hi-index | 12.07 |
This article takes 117 branches of a certain bank in Taiwan in 2006 as the research subject and introduces data envelopment analysis (DEA) to evaluate the operating performances of business units of this bank to provide the reference for a bank's managers in determining operation strategies. The result indicates that, in overall technical efficiency, the case bank has many inefficient branches distinctly; the average overall technical efficiency of branches is 54.8% and the average pure technical efficiency of branches is 67%, which is probably because of lower loan-to-deposit ratio, leading to excessive input waste. The average scale efficiency of the case bank during the sample period is 82%. The ratio of resource waste due to technical inefficiency is 45.2%, of which 55.03% is due to pure technical inefficiency.