Rodyti trumpą aprašą

dc.contributor.authorFerreira, Fernando A. F.
dc.contributor.authorJalali, Marjan S.
dc.contributor.authorMeidutė-Kavaliauskienė, Ieva
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorCatarino, Sandra M. J.
dc.date.accessioned2023-09-18T17:17:15Z
dc.date.available2023-09-18T17:17:15Z
dc.date.issued2018
dc.identifier.issn1729-9322
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/121452
dc.description.abstractCredit to personal consumption is an important activity of the financial system and crucial to the socio-economic development of a country. It is important, therefore, that the methods and techniques used to evaluate consumer credit risk be as efficient and informative as possible, in order to strengthen decisions to approve or reject credit and promote sustainable economic growth. This study aims to create a multiple criteria expert system which integrates cognitive maps and the measuring attractiveness by a categorical based evaluation technique (MACBETH) to create a complementary framework for consumer credit risk assessment. The results show that this integrated approach allows the evaluation process of consumer credit risk to be more informed and transparent, providing value for the evaluation processes of this type of credit application as a result of the privileged contact established with a panel of credit analysts. Limitations and managerial implications are also discussed.eng
dc.format.extentp. 33-50
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.titleA cognition-driven risk evaluation framework for consumer loans
dc.typeStraipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publication
dcterms.references48
dc.type.pubtypeP1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings
dc.contributor.institutionUniversity Institute of Lisbon University of Memphis
dc.contributor.institutionUniversity Institute of Lisbon
dc.contributor.institutionVilniaus Gedimino technikos universitetas University Institute of Lisbon
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionPolytechnic Institute of Santarém
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.researchfieldS 004 - Ekonomika / Economics
dc.subject.vgtuprioritizedfieldsEV02 - Aukštos pridėtinės vertės ekonomika / High Value-Added Economy
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.encredit to consumption
dc.subject.enrisk analysis
dc.subject.encognitive maps
dc.subject.enMCDA
dcterms.sourcetitleProceedings of the international conference on Business and Information (BAI 2018), Seoul, Korea July 6-8, 2018
dc.publisher.nameInt'l Business Academics Consortium
dc.publisher.cityTaipei
dc.identifier.elaba29895581


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Rodyti trumpą aprašą