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Evaluating efficiency in nonhomogeneous environments
Book PartAbstract: The conventional DEA methodology is generally designed to evaluate the relative efficiencies of a sePalabras claves:Compensation, DEA, Disadvantaged DMUs, Nonhomogeneous DMUsAutores:Cook W.D., Güemes-Castorena D., Sonita Valeria Avilés Sacoto, Zhu J.Fuentes:googlescopusPartial input to output impacts in DEA: The case of DMU-specific impacts
ArticleAbstract: Abstract Data Envelopment Analysis (DEA) is a methodology for evaluating the relative efficiencies oPalabras claves:DEA, DMU specific impacts, Partial impactsAutores:Cook W.D., Imanirad R., Sonita Valeria Avilés Sacoto, Zhu J.Fuentes:googlescopusMeasuring efficiency in DEA in the presence of common inputs
ArticleAbstract: Data envelopment analysis (DEA) is a methodology for evaluating the relative efficiencies of a set oPalabras claves:academic departments, Cooperation, DEA, DMU dependence, Shared inputsAutores:Cook W.D., Güemes-Castorena D., Sonita Valeria Avilés Sacoto, Zhu J.Fuentes:googlescopusModeling efficiency in the presence of multiple partial input to output processes
ArticleAbstract: Data envelopment analysis (DEA) is a methodology used to measure the relative efficiencies of peer dPalabras claves:DEA, Multiple processes, Partial impacts, Sub unitsAutores:Cook W.D., Imanirad R., Li W.H., Liang L., Sonita Valeria Avilés Sacoto, Zhu J.Fuentes:googlescopusTwo-stage network DEA: When intermediate measures can be treated as outputs from the second stage
ArticleAbstract: This paper investigates efficiency measurement in a two-stage data envelopment analysis (DEA) settinPalabras claves:DEA, NETWORKS, Time-staged outputs, two-stage efficiencyAutores:Cook W.D., Imanirad R., Sonita Valeria Avilés Sacoto, Zhu J.Fuentes:googlescopus