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Description
  • This paper is focused on the retail core banking services market. In the Czech Republic the consumers can use web accessible free of charge comparison tool for current account offer called the retail bank charges calculator. This system’s database holds day-to-day usage patterns of every consumer using this calculator. The aim is to classify the Czech e-banking clients that used the calculator during the year 2011. As a data preparations there were performed verification-validation phase, transformation and dimension reduction. The two-step cluster analysis was performed on 11 255 records classified by 19 variables regarding the type of the ser-vice, moth usage frequency or average amount of money, communication channel used to establish or order the service and the criterion if the service falls within or outside the single provider. Analysis indentified as an optimal number of clusters 3. There were identified mainstream client, active client and the client with the mixed communication channel preference.
  • This paper is focused on the retail core banking services market. In the Czech Republic the consumers can use web accessible free of charge comparison tool for current account offer called the retail bank charges calculator. This system’s database holds day-to-day usage patterns of every consumer using this calculator. The aim is to classify the Czech e-banking clients that used the calculator during the year 2011. As a data preparations there were performed verification-validation phase, transformation and dimension reduction. The two-step cluster analysis was performed on 11 255 records classified by 19 variables regarding the type of the ser-vice, moth usage frequency or average amount of money, communication channel used to establish or order the service and the criterion if the service falls within or outside the single provider. Analysis indentified as an optimal number of clusters 3. There were identified mainstream client, active client and the client with the mixed communication channel preference. (en)
Title
  • Classification of the electronic retail core banking market consumers
  • Classification of the electronic retail core banking market consumers (en)
skos:prefLabel
  • Classification of the electronic retail core banking market consumers
  • Classification of the electronic retail core banking market consumers (en)
skos:notation
  • RIV/62690094:18450/12:50000422!RIV13-MSM-18450___
http://linked.open...avai/riv/aktivita
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  • S
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  • 127378
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  • RIV/62690094:18450/12:50000422
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http://linked.open.../riv/klicovaSlova
  • calculator; retail core banking services; cluster; consumer (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [9C2664496FE6]
http://linked.open...v/mistoKonaniAkce
  • Karviná
http://linked.open...i/riv/mistoVydani
  • Karviná
http://linked.open...i/riv/nazevZdroje
  • Mathematical methods in economics : proceedings of 30th international conference
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Hedvičáková, Martina
  • Soukal, Ivan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Slezská univerzita. Obchodně podnikatelská fakulta
https://schema.org/isbn
  • 978-80-7248-779-0
http://localhost/t...ganizacniJednotka
  • 18450
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