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Modeling undesirable factors in efficiency evaluation
We show that the standard DEA model can be used to improve the performance of inefficient DMUs by increasing the desirable outputs and decreasing the undesirable outputs via a linear monotone decreasing transformation. Expand
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Measuring Information Technology's Indirect Impact on Firm Performance
We develop an efficiency model that identifies the efficient frontier of a two-stage production process linked by intermediate measures and identify the best practice firms for best practice benchmarking. Expand
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Profitability and Marketability of the Top 55 U.S. Commercial Banks
Utilizing recent developments in data envelopment analysis (DEA), this paper examines the performance of the top 55 U.S. commercial banks via a two-stage production process that separatesExpand
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Additive efficiency decomposition in two-stage DEA
Kao and Hwang (2008) [Kao, C., Hwang, S.-N., 2008. Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan. European Journal of Operational Research 185 (1), 418-429] develop an additive efficiency decomposition approach for measuring efficiency of decision processes which can be divided into two stages. Expand
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Multi-factor performance measure model with an application to Fortune 500 companies
  • Joe Zhu
  • Economics, Computer Science
  • Eur. J. Oper. Res.
  • 16 May 2000
This paper develops tools for reconciling diverse measures which characterize the financial performance of the Fortune 500 companies. Expand
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Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets and DEA Excel Solver
Basic DEA Models Measure-specific DEA Models Returns-to-Scale DEA with Preference Modelling Undesirable Measures Context-dependent Data Envelopment Analysis Benchmarking Models Models for EvaluatingExpand
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Data Envelopment Analysis: History, Models, and Interpretations
In about 30 years, Data Envelopment Analysis (DEA) has grown into a powerful quantitative, analytical tool for measuring and evaluating the performance. Expand
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Handbook on data envelopment analysis
-Preface W.W. Cooper, L.M. Seiford, J. Zhu. -1. Data Envelopment Analysis: History, Models and Interpretations W.W. Cooper, L.M. Seiford, J. Zhu. -2. Returns to Scale in DEA: R.D. Banker, W.W.Expand
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Imprecise data envelopment analysis (IDEA): A review and improvement with an application
  • Joe Zhu
  • Mathematics, Computer Science
  • Eur. J. Oper. Res.
  • 1 February 2003
This paper reviews and compares the two approaches in dealing with imprecise outputs and inputs in data envelopment analysis and shows that weight restrictions on imprecISE data are redundant. Expand
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Infeasibility Of Super-Efficiency Data Envelopment Analysis Models
AbstractThe paper investigates the infeasibility of super-efficiency data envelopment analysis (DEA) models in which the unit under evaluation is excluded from the reference set. Necessary andExpand
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