<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The aim of this paper is to analyse the development of voivodships in terms of ICT usage in enterprises by means of taxonomic methods. The theoretical part of the paper has been devoted to the role of modern information and communication technologies in post-industrial enterprises, in particular to the meaning of these technologies for new management concepts (e-business, online marketing, CRM, network management, X-engineering). The research methodology has been carried out, with special attention being paid to the agglomerative clustering method and optimization clustering method.</p><p>The empirical part of the paper presents a taxonomic analysis of voivodships with respect to the employment of ICT in enterprises. Data from the years 2014–2015, published by the Central Statistical Office of Poland, have been used. Seventeen potential diagnostic variables have been identified. In the end, variables with the highest discriminative possibilities were selected. The rankings of the voivodships were thus created. Then, voivodships were clustered by means of Ward’s method and the <italic>k</italic>-means method. The obtained results were evaluated regarding their conformity.</p></abstract>

The aim of this paper is to analyse the development of voivodships in terms of ICT usage in enterprises by means of taxonomic methods. The theoretical part of the paper has been devoted to the role of modern information and communication technologies in post-industrial enterprises, in particular to the meaning of these technologies for new management concepts (e-business, online marketing, CRM, network management, X-engineering). The research methodology has been carried out, with special attention being paid to the agglomerative clustering method and optimization clustering method.The empirical part of the paper presents a taxonomic analysis of voivodships with respect to the employment of ICT in enterprises. Data from the years 2014–2015, published by the Central Statistical Office of Poland, have been used. Seventeen potential diagnostic variables have been identified. In the end, variables with the highest discriminative possibilities were selected. The rankings of the voivodships were thus created. Then, voivodships were clustered by means of Ward’s method and the k-means method. The obtained results were evaluated regarding their conformity.

Taxonomic Analysis of Voivodships Development in Terms of ICT Usage in Enterprises

The State University of Applied Sciences in Płock

Faculty of Economics and Information Technology, Department of Economics

Folia Oeconomica Stetinensia

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The aim of this paper is to analyse the development of voivodships in terms of ICT usage in enterprises by means of taxonomic methods. The theoretical part of...

Taxonomic Analysis of Voivodships Development in Terms of ICT Usage in Enterprises

Published Online: Dec 27, 2017

Page range: 83 - 96

Received: May 31, 2017

Accepted: Nov 02, 2017

DOI: https://doi.org/10.1515/foli-2017-0020

Keywords
ICT, new management concepts, voivodships, clustering methods

© 2017 Paweł Kaczmarczyk, published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Taxonomic Analysis of Voivodships Development in Terms of ICT Usage in Enterprises

Published Online: Dec 27, 2017

Page range: 83 - 96

Received: May 31, 2017

Accepted: Nov 02, 2017

DOI: https://doi.org/10.1515/foli-2017-0020

KeywordsICT, new management concepts, voivodships, clustering methods

© 2017 Paweł Kaczmarczyk, published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
ICT, new management concepts, voivodships, clustering methods