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  • The main goal of this contribution is to discover the main differences between less successful and more successful small and medium enterprises with respect to ICT competencies. The successful implementation of ICT is one of the key factors of their long term growth. During the research data have been collected within 30 enterprises using multiple interviews in the long term period. These companies were analyzed by using the Peppard and Ward framework of 26 ICT competencies. Some companies had developed significantly more ICT competencies than the others and these competencies help them to be more successful and competitive. We use data mining methods, namely decision tree classifiers, clustering and association rules, to discover competencies which strongly influence the long-term growth of a company
  • The main goal of this contribution is to discover the main differences between less successful and more successful small and medium enterprises with respect to ICT competencies. The successful implementation of ICT is one of the key factors of their long term growth. During the research data have been collected within 30 enterprises using multiple interviews in the long term period. These companies were analyzed by using the Peppard and Ward framework of 26 ICT competencies. Some companies had developed significantly more ICT competencies than the others and these competencies help them to be more successful and competitive. We use data mining methods, namely decision tree classifiers, clustering and association rules, to discover competencies which strongly influence the long-term growth of a company (en)
Title
  • Predicting Information System Competencies in Small and Medium Enterprises with Data Mining Methods
  • Predicting Information System Competencies in Small and Medium Enterprises with Data Mining Methods (en)
skos:prefLabel
  • Predicting Information System Competencies in Small and Medium Enterprises with Data Mining Methods
  • Predicting Information System Competencies in Small and Medium Enterprises with Data Mining Methods (en)
skos:notation
  • RIV/00216224:14330/08:00035058!RIV10-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 388741
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/08:00035058
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • information and communication technology; small and medium enterprises; competencies; resource-based theory; data mining (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [FC57BFFCEA42]
http://linked.open...v/mistoKonaniAkce
  • Madrid
http://linked.open...i/riv/mistoVydani
  • Madrid
http://linked.open...i/riv/nazevZdroje
  • Proceedings of IASK Intl. Conference E-Activity and Leading Technologies
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Popelínský, Lubomír
  • Antlová, Klára
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IASK - International Association for the Scientific Knowledge
https://schema.org/isbn
  • 978-989-95806-3-3
http://localhost/t...ganizacniJednotka
  • 14330
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