2010
DOI: 10.1016/j.ejor.2009.07.009
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A multiplier bound approach to assess relative efficiency in DEA without slacks

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Cited by 37 publications
(43 citation statements)
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“…Some literatures identified different key performance indicators, including tangible and intangible aspects [8][9][10][11][12][13][14]. It is essential for performance measurement application that a company's tangible and intangible targets are defined in a way that is more appropriate to the requirements and objects of these targets and that company strategy is more extensively operationalized, quantified, and linked in a mutually supportive way [15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%
“…Some literatures identified different key performance indicators, including tangible and intangible aspects [8][9][10][11][12][13][14]. It is essential for performance measurement application that a company's tangible and intangible targets are defined in a way that is more appropriate to the requirements and objects of these targets and that company strategy is more extensively operationalized, quantified, and linked in a mutually supportive way [15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%
“…Thus, the focus of the cross-efficiency evaluation approach proposed in this paper is on the weight profile choice of each DMU, in an attempt to prevent unrealistic weighting schemes. Specifically, the model involves extending the multiplier bound approach to the assessment of efficiency without slacks (Ramón et al, 2010a) for use in cross-efficiency evaluations, which ensures nonzero weights and aims to avoid large differences in weights.…”
mentioning
confidence: 99%
“…Cook and Seiford (2008) noted, "The AR [assurance region] concept was developed to prohibit large differences in the values of multipliers" (p. 8). The approach in Ramón et al (2010a) relates to the assessment of the DMUs having nonzero slacks in their optimal solutions in the CCR model (i.e., those in F NF ∪ 1 ), evaluated after specifying a limit for the allowable differences in weights determined by using the optimal solutions of the extreme efficient units (the DMUs in E) with the least dissimilar weights. The approach also guarantees nonzero weights.…”
mentioning
confidence: 99%
“…This may generate assignment results with extreme weights. Specifically, the DEA often assigns weights to a few inputs and outputs in the process of evaluation, ignoring the remaining inputs and outputs by assigning them very small (or even zero) weights [33]. With this scenario, in the configurations of weighted inputs and outputs, some input or output variables with zero weights do not contribute to the efficiency of evaluated DMUs.…”
Section: Introductionmentioning
confidence: 99%
“…That is to say, each input or output in the proposed models can be used as much as possible during the evaluation process. Third, taking into account issues similar to those considered in our study, Ramn et al [33,34] proposed a multiplier bound approach for assessment of efficiency without slacks. Different from their study, our models choose profiles with similar weighted inputs and outputs, not weight.…”
Section: Introductionmentioning
confidence: 99%