Incorporating quality into data envelopment analysis: a stochastic dominance approach

Article Abstract:

A study has been conducted to incorporate information on differences in quality into data envelopment analysis (DEA) using a stochastic dominance approach. Three models for incorporating quality into DEA and for developing the criteria for efficiency are presented. The concepts were applied to public primary schools in Denmark via quality-controlled efficiency evaluations. The preliminary results of the analyses are presented.

Stochastic systems

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Comment on assessing marginal impact of investment on the performance of organizational units

Article Abstract:

The approach proposed by Athanassopoulos and Thanassoulis for distinguishing the effect of investment from the effect of marked size change on the performance and profitability of an outlet is evaluated. The mathematical framework used for measuring productivity of individual operations and its ability to increase its share of the market is presented. An analyses of the technical efficiency of the outlets are discussed.

Analysis, Industrial efficiency, Economic efficiency, Capital investments

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Some unsolved problems in data envelopment analysis: a survey

Article Abstract:

A survey has been conducted to measure the relative efficiency of non-parametric models, particularly the data envelopment analysis model, to handle multi-output-multi-input cases of CCR technology within the parametric tradition. The statistical foundation of the model, the measures of scale economies including the economies of jointness and economies of scope and the scale elasticities are presented.

Evaluation, Measurement, Stochastic analysis, Economies of scale

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