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@inproceedings{820707, author = {Antlová, Klára and Popelínský, Lubomír}, address = {Madrid}, booktitle = {Proceedings of IASK Intl. Conference E-Activity and Leading Technologies}, keywords = {information and communication technology; small and medium enterprises; competencies; resource-based theory; data mining}, language = {eng}, location = {Madrid}, isbn = {978-989-95806-3-3}, publisher = {IASK - International Association for the Scientific Knowledge}, title = {Predicting Information System Competencies in Small and Medium Enterprises with Data Mining Methods}, year = {2008} }
TY - JOUR ID - 820707 AU - Antlová, Klára - Popelínský, Lubomír PY - 2008 TI - Predicting Information System Competencies in Small and Medium Enterprises with Data Mining Methods PB - IASK - International Association for the Scientific Knowledge CY - Madrid SN - 9789899580633 KW - information and communication technology KW - small and medium enterprises KW - competencies KW - resource-based theory KW - data mining N2 - 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 ER -
ANTLOVÁ, Klára and Lubomír POPELÍNSKÝ. Predicting Information System Competencies in Small and Medium Enterprises with Data Mining Methods. In \textit{Proceedings of IASK Intl. Conference E-Activity and Leading Technologies}. Madrid: IASK - International Association for the Scientific Knowledge, 2008, 10 pp. ISBN~978-989-95806-3-3.
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