Digital Skills in the EU: Cluster Analysis

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cris.sourceIdoai:journals.unwe.bg:article/628
dc.creatorVelichkov, Nikolaien
dc.creatorStefanova, Kristinaen
dc.date2018-08-02
dc.date.accessioned2026-09-24T23:14:14Z
dc.date.available2026-09-24T23:14:14Z
dc.descriptionThis paper aims at drawing the distinctions between European Union member states with respect to the digital skills of the population along with identifying similarities among the different countries comprising a common model. The results of the applied cluster analysis method reveal that the degree of digital competence can be perceived as an important model-defining characteristic for the differentiation of individual models within the EU. At the same time, the obtained results demonstrate the existence of similarities among countries with relatively close geographic location and similar degree of economic development.en
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dc.identifierhttps://rp.unwe.bg/index.php/rp/article/view/628
dc.identifier10.37075/RP.2018.3.06
dc.identifier.urihttps://ds.e-dnrs.org/handle/123456789/1669
dc.languagebg
dc.publisherAcademic Publishing UNWE (AP-UNWE)en
dc.relationhttps://rp.unwe.bg/index.php/rp/article/view/628/620
dc.rightsCopyright (c) 2018 Nikolai Velichkov, Kristina Stefanova (Author)en
dc.rightshttps://creativecommons.org/licenses/by/4.0en
dc.sourceResearch Papers of UNWE; No. 3 (2018); 111-122en
dc.subjectCluster analysisen
dc.subjectDigital skillsen
dc.subjectIndustry 4.0en
dc.subjectEUen
dc.subjectC38 - Classification Methods • Cluster Analysis • Principal Components • Factor Modelsen
dc.subjectO33 - Technological Change: Choices and Consequences • Diffusion Processesen
dc.subjectP51 - Comparative Analysis of Economic Systemsen
dc.titleDigital Skills in the EU: Cluster Analysisen
dc.typePeer-reviewed Articleen

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