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

M.C.A. Silva Portela; E. Thanassoulis; G. Simpson

doi:10.1057/palgrave.jors.2601768

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

M.C.A. Silva Portela, E. Thanassoulis, G. Simpson

Research output: Contribution to journal › Article › peer-review

Abstract

This paper is drawn from the use of data envelopment analysis (DEA) in helping a Portuguese bank to manage the performance of its branches. The bank wanted to set targets for the branches on such variables as growth in number of clients, growth in funds deposited and so on. Such variables can take positive and negative values but apart from some exceptions, traditional DEA models have hitherto been restricted to non-negative data. We report on the development of a model to handle unrestricted data in a DEA framework and illustrate the use of this model on data from the bank concerned.

Original language	English
Pages (from-to)	1111-1121
Number of pages	11
Journal	Journal of the Operational Research Society
Volume	55
Issue number	10
DOIs	https://doi.org/10.1057/palgrave.jors.2601768
Publication status	Published - Oct 2004

Bibliographical note

This is an Accepted Manuscript of an article published by Taylor & Francis Group in Journal of the Operational Research Society in 2004, available online at: http://www.tandfonline.com/10.1057/palgrave.jors.2601768

Keywords

bank branches
data envelopment analysis
negative data in DEA

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10.1057/palgrave.jors.2601768

Negative data in DEA
This is an Accepted Manuscript of an article published by Taylor & Francis Group in Journal of the Operational Research Society in 2004, available online at: http://www.tandfonline.com/10.1057/palgrave.jors.2601768
Accepted author manuscript, 207 KB

Cite this

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AU - Thanassoulis, E.

AU - Simpson, G.

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N2 - This paper is drawn from the use of data envelopment analysis (DEA) in helping a Portuguese bank to manage the performance of its branches. The bank wanted to set targets for the branches on such variables as growth in number of clients, growth in funds deposited and so on. Such variables can take positive and negative values but apart from some exceptions, traditional DEA models have hitherto been restricted to non-negative data. We report on the development of a model to handle unrestricted data in a DEA framework and illustrate the use of this model on data from the bank concerned.

AB - This paper is drawn from the use of data envelopment analysis (DEA) in helping a Portuguese bank to manage the performance of its branches. The bank wanted to set targets for the branches on such variables as growth in number of clients, growth in funds deposited and so on. Such variables can take positive and negative values but apart from some exceptions, traditional DEA models have hitherto been restricted to non-negative data. We report on the development of a model to handle unrestricted data in a DEA framework and illustrate the use of this model on data from the bank concerned.

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KW - data envelopment analysis

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

Abstract

Bibliographical note

Keywords

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