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 and Lubomír POPELÍNSKÝ

Basic information

Original name

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

Name in Czech

Predikce IT kompetencí u malých a středních firem opmocí data mining

Authors

ANTLOVÁ, Klára (203 Czech Republic) and Lubomír POPELÍNSKÝ (203 Czech Republic, guarantor)

Edition

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

Publisher

IASK - International Association for the Scientific Knowledge

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Spain

Confidentiality degree

není předmětem státního či obchodního tajemství

RIV identification code

RIV/00216224:14330/08:00035058

Organization unit

Faculty of Informatics

ISBN

978-989-95806-3-3

Keywords in English

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

Abstract

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

In Czech

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

Citovat

ANTLOVÁ, Klára and 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 pp. 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 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.

Detailed Information on Publication Record