ANP-based analysis of ICT usage in Central European enterprises
Author(s) -
Jarosław Becker,
Aneta Becker,
Piotr Sulikowski,
Tomasz Zdziebko
Publication year - 2018
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2018.07.231
Subject(s) - information and communications technology , computer science , european union , analytic network process , cluster analysis , process (computing) , regional science , operations research , business , international trade , world wide web , analytic hierarchy process , artificial intelligence , engineering , geography , operating system
The purpose of this paper is to perform a multi-criteria evaluation of selected European Union member states in Central Europe with regard to the use of information and communication technologies (ICT) in enterprises in 2017. The analytic network process (ANP) methodology and k-means clustering were used. Basing on data obtained from Eurostat, ICT attributes were selected and the network of criteria was built. The preferences for main criteria were extracted from empirical data for each analyzed country (each decision variant). The obtained priority values reflected strengths of the analyzed regions. The preferences for sub-criteria were determined basing on that the criteria describing the newest fields of ICT development (e-commerce and e-business in general) are considered most important. With regard to that, the multi-criteria analysis showed that Slovenia and Austria were leaders in Central Europe in 2017, and the worst-performing country was Poland, preceded by Hungary. The results of the study can be used to generalize about the level of ICT development of each country.
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