Clustering EU countries by the level of information and communication technologies development

The development and wider use of information and communication technologies (ICT) are at the core of the EU’s strategic course to intensify digital transformation. This is complicated by significant differences between EU member states in this area, the alignment of which is becoming an important task for supranational policy. The paper, therefore, aims to cluster EU countries by their ICT development level and identify key differences. A dataset was generated based on 18 relative ICT development indicators used in the ICT Development Index and the Digital Economy and Society Index. In the first stage, based on the k-means method, the EU countries were divided into three clusters, which characterize their differences in the ICT development level. Then, using the decision tree method, indicators were identified that absolutely distribute the resulting clusters, confirming their specificity. The parameters that reflect the most significant differences between EU countries in ICT development include individuals using the Internet, active mobile broadband subscriptions per 100 inhabitants, mobile data and voice high-consumption basket price, fixed-broadband Internet basket price, ICT graduates, fiber to the premises coverage, mobile broadband take-up, and 5G spectrum. This has demonstrated the critical importance of the spread and availability of the Internet, mobile technologies, and human resources for intensifying digital transformations within the EU. The results can be used in supranational policies to support the development of ICT and digital transformations and also serve as a guide in ensuring digital progress in individual member countries.

Authors

Institutions

Publication Details

Journal
Problems and Perspectives in Management
Published
2025-06-27
DOI
https://doi.org/10.21511/ppm.23(2).2025.63
Citations
2
Primary Topic
Regional Development and Policy
Type
article
Field-Weighted Citation Impact
17.04
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clustering EU countries by the level of information and communication technologies development

Serhii Ivantsov, Fedir Zhuravka, Dmytro Shchytov, Vladimir Bilozubenko et al.
2 citations
Problems and Perspectives in Management
Regional Development and Policy
17.04
article

Clustering EU countries by the level of information and communication technologies development

Serhii Ivantsov, Fedir Zhuravka, Dmytro Shchytov, Vladimir Bilozubenko, Мaxim Korneyev, V. A. Yakovenko, Mykola A. Nahorianskyi
article en
2 citations

Abstract

The development and wider use of information and communication technologies (ICT) are at the core of the EU’s strategic course to intensify digital transformation. This is complicated by significant differences between EU member states in this area, the alignment of which is becoming an important task for supranational policy. The paper, therefore, aims to cluster EU countries by their ICT development level and identify key differences. A dataset was generated based on 18 relative ICT development indicators used in the ICT Development Index and the Digital Economy and Society Index. In the first stage, based on the k-means method, the EU countries were divided into three clusters, which characterize their differences in the ICT development level. Then, using the decision tree method, indicators were identified that absolutely distribute the resulting clusters, confirming their specificity. The parameters that reflect the most significant differences between EU countries in ICT development include individuals using the Internet, active mobile broadband subscriptions per 100 inhabitants, mobile data and voice high-consumption basket price, fixed-broadband Internet basket price, ICT graduates, fiber to the premises coverage, mobile broadband take-up, and 5G spectrum. This has demonstrated the critical importance of the spread and availability of the Internet, mobile technologies, and human resources for intensifying digital transformations within the EU. The results can be used in supranational policies to support the development of ICT and digital transformations and also serve as a guide in ensuring digital progress in individual member countries.

Problems and Perspectives in ManagementVol. 23(2)
Sumy State University (UA), University of Customs and Finance (UA)
Openalex Percentile: Top 1%
Regional Development and Policy
17.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.