Negative data in DEA: a directional distance approach applied to bank branches

By M. Portela, E. Thanassoulis, G. Simpson. Journal of the Operational Research Society, 2004

436 citations recorded by the source corpus.

Subfields: Finance, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/77e461bba28c7365297ba7a6af778b2fb2116fde

How researchers see this paper

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

In Finance

1. Joe Zhu
2. Wen‐Min Lu
3. John S. Liu
4. Louis Y. Y. Lu
5. B. J. Lin
6. Kaoru Tone

In Management Science and Operations Research

1. Joe Zhu
2. L. Seiford
3. Wen‐Min Lu
4. John S. Liu
5. Louis Y. Y. Lu
6. B. J. Lin
7. William W. Cooper
8. Wenbin Liu

Citations in the corpus

• Data envelopment analysis 1978-2010: A citation-based literature survey (2013, background): “[71] propose a range directional model (RDM) to handle situations with negative data.”
• DEA models with undesirable inputs and outputs (2010, methodology): “Related to ADD, there are several recent papers on DEA models handling negative data (but desirable) with directional distance functions, such as, Färe and Grosskopf (2004) (where a weak free disposability was used), Silva Portela et al. (2004), and Yu (2004).”
• Some models and measures for evaluating performances with DEA: past accomplishments and future prospects (2007, methodology): “It starts with the ‘‘Slacks Based Model’’ (SBM) introduced by Tone (2001) to deal with the lack of units invariance in the additive model measure.”