Using client’s characteristics and their financial products to predict their usage of banking electronic channels

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dc.contributor.authorAlsanousi, Hessa
dc.contributor.authorAlbarrak, Najla
dc.contributor.authorMoulitsas, Irene
dc.contributor.authorFilippone, Salvatore
dc.date.accessioned2021-11-01T11:44:56Z
dc.date.available2021-11-01T11:44:56Z
dc.date.issued2021-10-27
dc.description.abstractTechnology innovation and its impact on the progress of electronic banking establish the requirement for this research regarding customer demographics, their financial portfolio and banking preferences. In this research, banking financial data were collected from three Kuwaiti banks. The data included usage information in all electronic banking channels for each customer, their characteristics and financial portfolio. The aim of this study is to predict the customer use of electronic channels, treated as dependent variables, considering individual customer information, which is treated as independent variables. To bring the most benefit to bankers and financial analysts, machine learning techniques (ML), specifically multinomial logistic regression, were used to deal with the data from cleaning to analysing. The results disclosed that banks can determine the preferred electronic banking channel for each of their customers by knowing some information about their characteristics and financial product portfolio.en_UK
dc.identifier.citationAlsanousi H, Albarrak N, Moulitsas I, Filippone S. (2021) Using client’s characteristics and their financial products to predict their usage of banking electronic channels. In: 6th International Congress on Information and Communication Technology, 25-26 February 2021, London, UKen_UK
dc.identifier.isbn978-981-16-2101-7
dc.identifier.issn2367-3370
dc.identifier.urihttps://doi.org/10.1007/978-981-16-2102-4_15
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/17225
dc.language.isoenen_UK
dc.publisherSpringeren_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectElectronic bankingen_UK
dc.subjectMobile bankingen_UK
dc.subjectCall centreen_UK
dc.subjectOnline bankingen_UK
dc.subjectFinancial servicesen_UK
dc.subjectFinTech (financial technology)en_UK
dc.subjectMachine learningen_UK
dc.subjectMultinomial logistic regressionen_UK
dc.subjectBanking industryen_UK
dc.subjectMATLABen_UK
dc.subjectKuwait marketen_UK
dc.subjectIslamic banksen_UK
dc.subjectConventional banksen_UK
dc.titleUsing client’s characteristics and their financial products to predict their usage of banking electronic channelsen_UK
dc.typeConference paperen_UK

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