Segmenting Potential Customers with Kohonen Network: A Banking Sector Case Study

Basit Öğe Kaydı
dc.contributor.authorTuncali Yaman T.
dc.date.accessioned2024-03-13T10:01:03Z
dc.date.available2024-03-13T10:01:03Z
dc.date.issued2021
dc.departmentİstanbul Beykent Üniversitesien_US
dc.descriptionEuropean, Asian, Middle Eastern, North African Conference on Management and Information Systems, EAMMIS 2021 -- 19 March 2021 through 20 March 2021 -- -- 260709en_US
dc.description.abstractThe main objective of this paper is to understand the characteristics of the new customers of a web-based lending bank via a segmentation methodology with Kohonen Network. The main problem involved here is the proposition of a data-driven segmentation approach in the prevention of the loss of remunerative customers’ acquisition in the digital era’s banking industry. The reason for choosing Kohonen Network is the ability to work on large volumes of data and the most appropriate determination of the cluster number, which is the most important decision for cluster analysis, by the technique itself. The well-known purpose of cluster analysis in business analytics is to provide the necessary foresight by revealing previously unknown critical customer characteristics and degrees of importance in order to assist the business in charge in strategic marketing decisions such as market segmentation and target market selection. As a result of the study, new marketing strategies regarding the loss of new customers’ acquisition suggested through the findings of Kohonen clusters. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.en_US
dc.identifier.doi10.1007/978-3-030-77246-8_29
dc.identifier.endpage312en_US
dc.identifier.isbn9783030772451
dc.identifier.issn2367-3370
dc.identifier.scopus2-s2.0-85111386781en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage300en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-77246-8_29
dc.identifier.urihttps://hdl.handle.net/20.500.12662/2936
dc.identifier.volume239 LNNSen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofLecture Notes in Networks and Systemsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClusteringen_US
dc.subjectData miningen_US
dc.subjectKohonen networken_US
dc.subjectLending banken_US
dc.subjectMarket segmentationen_US
dc.titleSegmenting Potential Customers with Kohonen Network: A Banking Sector Case Studyen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu