Summary: | 碩士 === 淡江大學 === 會計學系 === 87 === Total Pages:100
Title of Thesis: The Study of Operating Performance
of the Branches for a Bank
Name of Institute: Graduate Institute of Accounting.
Tamkang University
Graduate Date:June,1999 Degree Conferred: Master
Name of Student: Guang-Huei Yang Advisor: Mei. Lan Wang
Abstract
The overall operating performance of a banking institution depends on the operating efficiency of its each branch and each subordinate. Especially when local banking institutions onfront the tough pressure of global financial liberlization,computerization and internationalization, the administration not only evaluates the efficiency of each branch and each subordinate but also reshuffles the management strategies or replaces the managers of each branch and each
subordinate to improve the overall performance, to sustain a steady growth, and to maintain the competitive position in the financial market.
Thus, it is important for a branch manager to fully understand the branch''s operating performance so as to find out the causes making the branch operating inefficiently and to develop the policies and strategies to improve the branch.
The policies and procedures mentioned above for evaluation performance are the guideline of the branch to enhance business.
The policies and procedures for evaluating performance of branches of government run banks are regulated by the Financial Supervision and tailored by the specific operating characteristics of banks. Same situation also prevails in
private owned banks. However, such criteria in evaluation tend not to be able to provide a specific direction and the level of improvement needed to improve the performance of inefficient branches.
The study focuses the DEA model as the framework, with 152 branches of a local commercial bank as the subject of the research, by applying designated inputs and outputs via the CCR model to derive an overall operating efficiency, and via the BCC model to derive a technical efficiency . With which, calculation is then made to evaluate the rate of scale return.
Summing up the above data is then applied to conclude a general direction, the specific level of improvement and some of the administration information that can be used to enhance the performance of the inefficient branches.
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