About: Predicting Information System Competencies in Small and Medium Enterprises with Data Mining Methods     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • 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
is http://linked.open...avai/riv/vysledek of
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software