Alternative Data Sources and Psychometric Scales Supported Credit Scoring Models

dc.contributor.author Şahin, Türkay
dc.contributor.author Filiz, Gözde
dc.contributor.author Çakar, Tuna
dc.contributor.author Özvural, Özden Gebizlioğlu
dc.contributor.author Nicat, Şahin
dc.date.accessioned 2023-10-18T12:06:11Z
dc.date.available 2023-10-18T12:06:11Z
dc.date.issued 2023
dc.description.abstract This study aims to evaluate individuals with limited access to banking services and enhance credit scoring models with alternative data sources. A psychometric-based credit scoring model was developed and tested. Despite limited data, significant potential findings were obtained. However, clarification of the distinction between credit payment intention and ability and validation of the results with more data are necessary.
dc.description.sponsorship IEEE,TUBITAK BILGEM,Turkcell
dc.identifier.citation Filiz, G., Nicat, Ş., Şahin, T., Özvural, Ö. G., & Çakar, T. (2023, July). Alternative Data Sources and Psychometric Scales Supported Credit Scoring Models. In 2023 31st Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.
dc.identifier.doi 10.1109/SIU59756.2023.10223937
dc.identifier.isbn 9798350343557
dc.identifier.issn 2165-0608
dc.identifier.scopus 2-s2.0-85173491184
dc.identifier.uri https://doi.org/10.1109/SIU59756.2023.10223937
dc.identifier.uri https://hdl.handle.net/20.500.11779/1957
dc.language.iso tr
dc.publisher IEEE
dc.relation.ispartof 2023 31st Signal Processing and Communications Applications Conference (SIU)
dc.rights info:eu-repo/semantics/closedAccess
dc.subject Credit scoring
dc.subject Psychometric data
dc.subject Alternative data sources
dc.title Alternative Data Sources and Psychometric Scales Supported Credit Scoring Models
dc.type Conference Object
dspace.entity.type Publication
gdc.author.institutional Çakar, Tuna
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gdc.coar.access metadata only access
gdc.coar.type text::conference output
gdc.description.department Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
gdc.description.endpage 4
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 1
gdc.description.woscitationindex Conference Proceedings Citation Index - Science - Conference Proceedings Citation Index - Social Science & Humanities
gdc.identifier.openalex W4386212541
gdc.identifier.wos WOS:001062571000165
gdc.index.type WoS
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gdc.oaire.influence 2.5942106E-9
gdc.oaire.isgreen false
gdc.oaire.popularity 2.5427536E-9
gdc.oaire.publicfunded false
gdc.openalex.collaboration International
gdc.openalex.fwci 0.59054323
gdc.openalex.normalizedpercentile 0.68
gdc.opencitations.count 0
gdc.plumx.mendeley 5
gdc.plumx.scopuscites 2
gdc.publishedmonth Temmuz
gdc.relation.journal 31st IEEE Conference on Signal Processing and Communications Applications (SIU) -- JUL 05-08, 2023 -- Istanbul Tech Univ, Ayazaga Campus, Istanbul, TURKEY
gdc.relation.journal 2023 31st Signal Processing and Communications Applications Conference, Siu
gdc.scopus.citedcount 2
gdc.virtual.author Çakar, Tuna
gdc.wos.citedcount 0
gdc.wos.collaboration Uluslararası işbirliği ile yapılmayan - HAYIR
gdc.wos.documenttype Proceedings Paper
gdc.wos.indexdate 2023
gdc.wos.publishedmonth Temmuz
gdc.yokperiod YÖK - 2022-23
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