dc.contributor.author | Fereira, Fernando A. F. | |
dc.contributor.author | Meidutė-Kavaliauskienė, Ieva | |
dc.contributor.author | Zavadskas, Edmundas Kazimieras | |
dc.contributor.author | Jalali, Marjan S. | |
dc.contributor.author | Catarino, Sandra M.J. | |
dc.date.accessioned | 2023-09-18T17:14:35Z | |
dc.date.available | 2023-09-18T17:14:35Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 0219-6220 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/121123 | |
dc.description.abstract | Credit 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 should 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. Advantages, limitations and managerial implications are also discussed. | eng |
dc.format | PDF | |
dc.format.extent | p. 7-33 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | RePec | |
dc.relation.isreferencedby | CompuMath Citation Index | |
dc.relation.isreferencedby | INSPEC | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.source.uri | https://www.worldscientific.com/doi/pdf/10.1142/S021962201850044X | |
dc.source.uri | https://doi.org/10.1142/S021962201850044X | |
dc.subject | VE01 - Aukštos pridėtinės vertės ekonomika / High value-added economy | |
dc.title | A judgment-based risk assessment framework for consumer loans | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.references | 0 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | University Institute of Lisbon University of Memphis | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas University Institute of Lisbon | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | University Institute of Lisbon | |
dc.contributor.institution | Polytechnic Institute of Santarém | |
dc.contributor.faculty | Verslo vadybos fakultetas / Faculty of Business Management | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.subject.researchfield | S 003 - Vadyba / Management | |
dc.subject.researchfield | T 002 - Statybos inžinerija / Construction and engineering | |
dc.subject.ltspecializations | L103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society | |
dc.subject.en | credit to consumption | |
dc.subject.en | judgment-based risk analysis | |
dc.subject.en | cognitive maps | |
dc.subject.en | MCDA | |
dc.subject.en | MACBETH | |
dcterms.sourcetitle | International journal of information technology & decision making | |
dc.description.issue | no. 1 | |
dc.description.volume | vol. 18 | |
dc.publisher.name | World Scientific | |
dc.publisher.city | Singapore | |
dc.identifier.doi | 2-s2.0-85052659327 | |
dc.identifier.doi | 000457238100001 | |
dc.identifier.doi | 10.1142/S021962201850044X | |
dc.identifier.elaba | 29712090 | |