Data envelopment analysis for measuring performance in a competitive market

Measuring congestion in data envelopment analysis with common weights

Measuring Bank Branch Performance in Pakistan: Data Envelopment Analysis (DEA)

This study provides comparative analysis of different banks branches efficiency in Pakistan during the year 2010. The main objective of the study is to develop an effective model for measuring the relative efficiency and achievable development proficiency of selected bank branches by analyzing their competencies and deficiencies through application of Data Envelopment Analysis. Further more, th...

Measuring The Performance of Information Systems Using Data Envelopment Analysis

This paper reviews the system of the evaluation methods for performance of information system (IS) and their deficiencies. Based on these, the feasibility and necessity to measure the performance from the input/output viewpoint are emphasized. Then, this paper introduces four basic models of data envelopment analysis and selects YMK-DEA and C 2 GS 2 -ISS models for the evaluation of performance...

Measuring Eeciency Using Data Envelopment Analysis Measuring Eeciency Using Data Envelopment Analysis

Data Envelopment Analysis (DEA) is a management tool aimed to determine relative eeciency of independent decision making units. Each unit is fully characterized by a set of incommensurable input and output values. This technique is able, by solving linear programming problems, to discriminate between eecient and ineecient units and to provide targets for the ineecient units. The work of the aut...

A statistical test for outlier identification in data envelopment analysis

In the use of peer group data to assess individual, typical or best practice performance, the effective detection of outliers is critical for achieving useful results. In these ‘‘deterministic’’ frontier models, statistical theory is now mostly available. This paper deals with the statistical pared sample method and its capability of detecting outliers in data envelopment analysis. In the prese...