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dc.contributor.authorDuman, Ekrem
dc.contributor.authorEcevit, F.
dc.contributor.authorÇakır, Ç.
dc.contributor.authorAltan, O.
dc.date.accessioned2024-03-25T10:27:03Z
dc.date.available2024-03-25T10:27:03Z
dc.date.issued2017-10-02
dc.identifier.issn1246-0125en_US
dc.identifier.urihttp://hdl.handle.net/10679/9314
dc.identifier.urihttps://www.tandfonline.com/doi/full/10.1080/12460125.2017.1422318
dc.description.abstractWhen customers fail to pay the amount they owe to their bank related with a credit product (credit cards, overdraft accounts or instalment loans), the bank starts the collection process. This process typically lasts for a particular amount of time after which the customer is labelled as defaulted and a litigation period is launched. Banks try to minimise the percentage of credit exposure that goes to litigation since it negatively affects the bank’s profitability. Accordingly, they take various actions to maximise the collections before litigation. In this study, we approach this problem from a different perspective as we maximise not the short-term collections but the long-term revenues from customers by incorporating the churn effects of these actions in our modelling. © 2018 Informa UK Limited, trading as Taylor & Francis Group.en_US
dc.language.isoengen_US
dc.publisherTaylor & Francisen_US
dc.relation.ispartofJournal of Decision Systems
dc.rightsrestrictedAccess
dc.titleA novel collection optimisation solution maximising long-term profits: a case study in an international banken_US
dc.typeArticleen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0001-5176-6186 & YÖK ID 142351) Duman, Ekrem
dc.contributor.ozuauthorDuman, Ekrem
dc.identifier.volume26en_US
dc.identifier.issue4en_US
dc.identifier.startpage328en_US
dc.identifier.endpage340en_US
dc.identifier.wosWOS:000431205600002
dc.identifier.doihttps://doi.org/10.1080/12460125.2017.1422318en_US
dc.subject.keywordsCollection scorecarden_US
dc.subject.keywordsOptimisationen_US
dc.subject.keywordsRisk managementen_US
dc.identifier.scopusSCOPUS:2-s2.0-85040993440
dc.relation.publicationcategoryArticle - International Refereed Journal - Institutional Academic Staff


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