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

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

doi:10.1057/palgrave.jors.2601768

Cited by 440Efficiency Analysis Using DEAMulti-Criteria Decision MakingOptimization and Mathematical Programming

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

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Portela, M C A Silva, Thanassoulis, E, Simpson, G·2004·Journal of the Operational Research Society

DOI 10.1057/palgrave.jors.2601768

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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.

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Negative data values and lack of data restrict the DEA model's ability to conduct the analyses.
“Following Habib (2022); Habib and Kayani (2022); Habib and Mourad (2022); Pastor and Ruiz (2007); and Portela et al. (2004), negative data values and lack of data restrict the DEA model's ability to conduct the analyses.”
From Does the Efficiency of a Firm's Intellectual Capital and Working Capital Management Affect Its Performance? (2024) · cites this paper as Portela et al. (2004)
The Abstract and Introduction say that traditional DEA models generally require non-negative data, supporting the claim about negative values. The Input and output data section says quantity data were unavailable and the authors used value data instead; it does not say that a lack of data prevented DEA analysis. No page numbers are provided in our copy. (LLM, conf=0.86)
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Authors: Portela, M. C. A. S., Thanassoulis, E., & Simpson, G.
Affiliations: Aston University (GB)
Corresponding author: Portela, M C A Silva
ORCID: Portela, M C A Silva
Thanassoulis, E
Venue: Journal of the Operational Research Society
Publisher: Informa UK Limited
Published: 2004-10
Volume: 55
Issue: 10
Pages: 1111-1121
ISSN: 0160-5682 (ISSN-L)
1476-9360
DOI: 10.1057/palgrave.jors.2601768
OpenAlex: W2008088727
Cited by: 440
References: 40
Citations by year: 2026: 24 · 2025: 38 · 2024: 31 · 2023: 30 · 2022: 37 · 2021: 29 · 2020: 26 · 2019: 21 · 2018: 19 · 2017: 30 · 2016: 17 · 2015: 19 · 2014: 22 · 2013: 19 · 2012: 15
FWCI: 6.85
Type: journal article
Language: en
Open access: green
publications.aston.ac.uk
Licence: www.springer.com/tdm (unspecified)
Locations: Journal of the Operational Research Society (publishedVersion)
Aston Publications Explorer (Aston University) (submittedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
Topics: Social Sciences › Decision Sciences › Management Science and Operations Research › Efficiency Analysis Using DEA
Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
Physical Sciences › Engineering › Control and Systems Engineering › Optimization and Mathematical Programming
Keywords: data envelopment analysis, directional distance function, negative data, bank branch performance, customer growth, deposit growth, efficiency measurement

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

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