Integrated bank performance assessment and management planning using hybrid minimax reference point – DEA approach

The purpose of assessing past performances and setting future targets for an organisation such as a bank branch is to find where the branch stands in comparison to its peers within the bank branch network and how to improve the efficiency of its operations relatively when compared to the best practi...

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Vydáno v:European journal of operational research Ročník 207; číslo 3; s. 1506 - 1518
Hlavní autoři: Yang, J.B., Wong, B.Y.H., Xu, D.L., Liu, X.B., Steuer, R.E.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Amsterdam Elsevier B.V 16.12.2010
Elsevier
Elsevier Sequoia S.A
Edice:European Journal of Operational Research
Témata:
Applied sciences
Bank performance assessment
Banks
Branch banking
Data envelopment analysis
Data envelopment analysis Multiple objective linear programming Tradeoff analysis Bank performance assessment Management planning
Decision theory. Utility theory
Exact sciences and technology
Financial performance
International banking
Management planning
Mathematical analysis
Mathematical programming
Mathematics
Minimax technique
Multiple objective linear programming
Networks
Nonparametric inference
Operational research
Operational research and scientific management
Operational research. Management science
Operations research
Performance assessment
Probability and statistics
Sciences and techniques of general use
Searching
Statistics
Studies
Tradeoff analysis
United Kingdom > UK
Tradeoff analysis
Bank performance assessment
Management planning
Multiple objective linear programming
Data envelopment analysis
Performance evaluation
Branching
Dual models
Resource allocation
Multiobjective programming
Banking
Shortest path
Non parametric estimation
Linear programming
Modeling
Forecasting
Minimax problem
Minimax method
Planning
ISSN:0377-2217, 1872-6860
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Shrnutí:The purpose of assessing past performances and setting future targets for an organisation such as a bank branch is to find where the branch stands in comparison to its peers within the bank branch network and how to improve the efficiency of its operations relatively when compared to the best practice branches. However, future performance targets may be set arbitrarily by the head-office and thus could be unrealistic and not achievable by a branch. A hybrid minimax reference point-data envelopment analysis (HMRP-DEA) approach is investigated to incorporate the value judgements of both branch managers and head-office directors and to search for the most preferred solution (MPS) along the efficient frontier for each bank branch. The HMRP-DEA approach is composed of three minimax models, including the super-ideal point model, the ideal point model and the shortest distance model, which share the same decision and objective spaces, are different from each other only in their reference points and weighting schema, and are proven to be equivalent to the output-oriented DEA dual models. These models are examined both analytically and graphically in this paper using a case study, which provides the unprecedented insight into integrated efficiency and trade-off analyses. The HMRP-DEA approach uses DEA as an ex-post-facto evaluation tool for past performance assessment and the minimax reference point approach as an ex-ante planning tool for future performance forecasting and target setting. Thus, the HMRP-DEA approach provides an alternative means for realistic target setting and better resource allocation. It is examined by a detailed investigation into the performance analysis for the fourteen branches of an international bank in the Greater Manchester area.
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ISSN:0377-2217
1872-6860
DOI:10.1016/j.ejor.2010.07.001