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An idiosyncratic decision support system for credit risk analysis of small and medium-sized enterprises

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dc.contributor.authorGonçalves, Tânia S. H.
dc.contributor.authorFerreira, Fernando A. F.
dc.contributor.authorJalali, Marjan S.
dc.contributor.authorMeiduté-Kavaliauskiené, Ieva
dc.date.accessioned2020-06-26T13:54:44Z
dc.date.available2020-06-26T13:54:44Z
dc.date.issued2015
dc.description.abstractSmall 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGonçalves, T. S. H., Ferreira, F. A. F., Jalali, M. S., & Meidutė-Kavaliauskienė, I. (2016). An idiosyncratic decision support system for credit risk analysis of small and medium-sized enterprises. Technological & Economic Development of Economy, 22(4), 598–616. https://doi.org/10.3846/20294913.2015.1074125pt_PT
dc.identifier.doi10.3846/20294913.2015.1074125pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.15/2925
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherTaylor & Francispt_PT
dc.relation.publisherversionhttps://www.tandfonline.com/doi/abs/10.3846/20294913.2015.1074125pt_PT
dc.subjectCredit risk analysispt_PT
dc.subjectMultiple criteria decision analysis (MCDA)pt_PT
dc.subjectSmall and mediumsized enterprises (SMEs)pt_PT
dc.subjectTODIM (Portuguese acronym for interactive multiple criteria decision making)pt_PT
dc.titleAn idiosyncratic decision support system for credit risk analysis of small and medium-sized enterprisespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage616pt_PT
oaire.citation.issue4pt_PT
oaire.citation.startPage598pt_PT
oaire.citation.titleTechnological and Economic Development of Economypt_PT
oaire.citation.volume22pt_PT
person.familyNameFerreira
person.givenNameFernando
person.identifier.orcid0000-0001-5208-9084
person.identifier.scopus-author-id37115389700
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication50406dd4-189d-4920-891f-2eeae2686b18
relation.isAuthorOfPublication.latestForDiscovery50406dd4-189d-4920-891f-2eeae2686b18

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