determinants. The authors use for this purpose the Data Envelopment Analysis (DEA) method and the analysis of the Stochastic … Frontier Analysis (SFA) method for calculating the technical efficiency scores. The results reveal similar trends for both …

aggregation is that the consensus ordering well reflects the input data, i.e., agents' judgements and importance. The scientific … literature encompasses several aggregation techniques, even if it does not include a versatile tool for a quantitative assessment … aggregation technique in use; for this reason, it can be applied to a variety of practical contexts and used to compare the …

In this research, the authors propose DEA (data envelopment analysis) profit efficiency models for production planning … varied output price (NOCMP-VOP) model. The authors apply these two DEA profit efficiency models to U.S. airline industry for … illustration. The developed NOCMP and NOCMP-VOP models in this study contribute to developments of both the DEA profit efficiency …

duration. In this research a Data Envelopment Analysis (DEA) and a Malmquist Index (MI) are combined with a double bootstrap … methodology to measure changes in Total Factor Productivity of general cropping farms in East Anglia. More specifically, the DEA …

unit by DEA, we analyze the adjustment direction of the input and output on the angle of horizontal, vertical and internal …

paper uses a two-stage efficiency model: (1) data envelopment analysis (DEA), a non-parametric model for measuring the …

There is no doubt the Data Envelopment Analysis (DEA) is a powerful method for the efficiency evaluation of Decision … Making Units (DMUs) with multiple inputs and outputs. Despite its usefulness, DEA has some notable limitations. A significant … purpose have been suggested. While, in the traditional method the first step for the DEA approach is used, and results of this …

evaluation of group buying websites in the country is still tiny. The paper used DEA combined with AHP to evaluate popular group …