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DC poleHodnotaJazyk
dc.contributor.authorVallušová, Anna
dc.contributor.authorKuráková, Ivana
dc.contributor.authorLacová, Žaneta
dc.date.accessioned2022-12-16T07:08:35Z
dc.date.available2022-12-16T07:08:35Z
dc.date.issued2022
dc.identifier.citationE+M. Ekonomie a Management = Economics and Management. 2022, roč. 25, č. 4, s. 164–179.cs
dc.identifier.issn1212-3609 (Print)
dc.identifier.issn2336-5604 (Online)
dc.identifier.urihttp://hdl.handle.net/11025/50715
dc.format16 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherTechnická univerzita v Libercics
dc.rightsCC BY-NC 4.1en
dc.subjectdigitální transformacecs
dc.subjectdigitální propastcs
dc.subjectdigitální nerovnostcs
dc.subjectdigitálně ohrožené sociální skupinycs
dc.subjectdigitální inkluzecs
dc.subjectzemě V4cs
dc.titleDigital inequality and usage gap in the V4 regionen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe V4 countries have achieved different levels of digital transformation due to distinctions in their individual technical infrastructure and human capital characteristics. The success of digital transformation cannot be measured solely by the achieved level of digitalization; the distribution of favorable outcomes of internet use within a country should also be considered. The level of digital skills and usage patterns differ among social groups, therefore capability to translate internet access and use to tangible (offline) benefits varies. The aim of our paper is twofold. Firstly, we quantify the extent of the digital inequality in terms of usage gap in the V4 countries. We indicate the dynamics of inequality by comparing the development of such inequality between the years 2015 and 2019. Secondly, we identify socioeconomic and sociodemographic factors, which are connected to differences in internet usage patterns and therefore affect the capability of an individual to benefit from internet use. In common with other studies carried out in the Western world, we show that internet access and possession of formal digital skills are not the most important determinant of probability of being a digital beneficiary; individual characteristics, especially education and age, predict the probability of being a digital beneficiary to a higher degree of accuracy. As to the extent of digital inequality in the individual countries, we come to conclusion that although the V4 countries are relatively homogeneous concerning socioeconomic inequalities, the level of digital inequality among them differs – Hungary being somewhat unequal as compared to the most equal Czechia. In all four countries, equality increased within an observed period.en
dc.subject.translateddigital transformationen
dc.subject.translateddigital divideen
dc.subject.translateddigital inequalityen
dc.subject.translateddigitally vulnerable social groupsen
dc.subject.translateddigital inclusionen
dc.subject.translatedV4 countriesen
dc.identifier.doihttps://doi.org/10.15240/tul/001/2022-4-011
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Číslo 4 (2022)
Číslo 4 (2022)

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  1. DSpace at University of West Bohemia
  2. Publikace ZČU / UWB Publications
  3. Časopisy ZČU / UWB Journals
  4. Ekonomie a management
  5. 2022
  6. Číslo 4 (2022)