Predicting Information System Competencies in Small and Medium
Enterprises with Data Mining Methods

D 2008

Predicting Information System Competencies in Small and Medium Enterprises with Data Mining Methods

ANTLOVÁ, Klára a Lubomír POPELÍNSKÝ

Základní údaje

Originální název

Predicting Information System Competencies in Small and Medium Enterprises with Data Mining Methods

Název česky

Predikce IT kompetencí u malých a středních firem opmocí data mining

Autoři

ANTLOVÁ, Klára (203 Česká republika) a Lubomír POPELÍNSKÝ (203 Česká republika, garant)

Vydání

Madrid, Proceedings of IASK Intl. Conference E-Activity and Leading Technologies, 10 s. 2008

Nakladatel

IASK - International Association for the Scientific Knowledge

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Španělsko

Utajení

není předmětem státního či obchodního tajemství

Kód RIV

RIV/00216224:14330/08:00035058

Organizační jednotka

Fakulta informatiky

ISBN

978-989-95806-3-3

Klíčová slova anglicky

information and communication technology; small and medium enterprises; competencies; resource-based theory; data mining

Štítky

competencies, data mining, information and communication technology, resource-based theory, small and medium enterprises

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 17. 2. 2009 00:17, doc. RNDr. Lubomír Popelínský, Ph.D.

Anotace

ORIG CZ

V originále

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

Česky

Popisujeme použití metod data mining pro analýzu dat o malých a středních firmách a jejich IT kompetencích.

Citovat

ANTLOVÁ, Klára a Lubomír POPELÍNSKÝ. Predicting Information System Competencies in Small and Medium Enterprises with Data Mining Methods. In Proceedings of IASK Intl. Conference E-Activity and Leading Technologies. Madrid: IASK - International Association for the Scientific Knowledge, 2008, 10 s. ISBN 978-989-95806-3-3.

@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 a 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 s. ISBN~978-989-95806-3-3.

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