Improving discrimination in data envelopment analysis: some practical suggestions

By Victor V. Podinovski, E. Thanassoulis. 2007

120 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/d4ae9a9b6e18333a99548415a6aefbb7342d4881

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Salvatore Greco
2. Alessio Ishizaka
3. Gianpiero Torrisi
4. Menelaos Tasiou
5. Matteo Brunelli

In Economics and Econometrics

1. Alessio Ishizaka
2. Menelaos Tasiou
3. Gianpiero Torrisi
4. Salvatore Greco
5. Ayda Eraydin

In Management Science and Operations Research

1. Alessio Ishizaka
2. Salvatore Greco
3. Gianpiero Torrisi
4. Menelaos Tasiou
5. R. Słowiński
6. Marco Cinelli
7. Matteo Brunelli

Citations in the corpus

• Using data envelopment analysis for the assessment of technical efficiency of units with different specialisations: An application to agriculture ☆ (2015, unknown): “…the number of inputs and outputs in relation to the number of units, the type (variable or constant) of returns-to-scale assumed (VRS and CRS, respectively) and, more generally, the particular data set that is under the investigation (Angulo-Meza and Lins, 2002; Podinovski and Thanassoulis, 2007).”
• On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness (2018, background): “(2002), Angulo-Meza and Lins (2002), or Podinovski and Thanassoulis (2007).”