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http://hdl.handle.net/10071/12717
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Title: An idiosyncratic decision support system for credit risk analysis of small and medium-sized enterprises
Authors: Gonçalves, T. S. H.
Ferreira, F. A. F.
Jalali, M. S.
Meidute-Kavaliauskiene, I.
Keywords: Credit risk analysis
Multiple criteria decision analysis (MCDA)
Small and mediumsized enterprises (SMEs)
TODIM (Portuguese acronym for interactive multiple criteria decision making)
Issue Date: 2016
Publisher: Routledge/Taylor and Francis
Abstract: Small and medium-sized enterprises (SMEs) are currently considered an important driving force of economic growth. Several studies have been developed to analyse this issue and, in particular, to assess the credit risk of SMEs. Most of these applications, however, share the same methodological limitations, such as the manner by which criteria are selected, or the methods used for calculating the weights between them. Based on the integrated use of cognitive mapping techniques and the Interactive Multiple Criteria Decision Making (TODIM) approach, this study aims to create an idiosyncratic decision support system for the identification of multiple criteria and the calculation of their respective weights (i.e. the trade-offs) in the evaluation of SME credit risk. The results show that the model created in this study allows for simple and straightforward credit concession decisions, facilitating the evaluation of SME credit applications through more informed and transparent risk assessments. Practical implications, strengths and weaknesses of the proposed framework are analysed and discussed.
Peer reviewed: yes
URI: http://hdl.handle.net/10071/12717
DOI: 10.3846/20294913.2015.1074125
ISSN: 2029-4913
Ciência-IUL: https://ciencia.iscte-iul.pt/id/ci-pub-29778
Accession number: WOS:000378806700007
Appears in Collections:BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica

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