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

Author

Listed:
  • M C A Silva Portela

    (Universidade Católica Portuguesa, Centro Regional do Porto
    Aston Business School)

  • E Thanassoulis

    (Aston Business School)

  • G Simpson

    (Aston Business School)

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.

Suggested Citation

  • M C A Silva Portela & E Thanassoulis & G Simpson, 2004. "Negative data in DEA: a directional distance approach applied to bank branches," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(10), pages 1111-1121, October.
    • Handle: RePEc:pal:jorsoc:v:55:y:2004:i:10:d:10.1057_palgrave.jors.2601768
    DOI: 10.1057/palgrave.jors.2601768
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    References listed on IDEAS

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