The use of advanced ICT technologies and the support of new ways of thinking, acting and working in public administration, together with the increased provision of information and interactive services accessible through various channels, is the foundation of eGovernment. In recent years, there has been visible progress in all EU countries in terms of the general framework for e-government strategy, which is based on best practices and methodologies. The aim of our research is to discover the way in which the EU states are situated from the point of view of the digitalization of the administration. For this I used Gaussian models. The main research parameters were: accessibility; transparency, investments in information and communication technologies and investments in infrastructure related to public administrations in EU countries. The results show significant differences between state administrations. We applied Gaussian Mixture Model clustering in order to make an analysis of the national E-government situation in the European Union for 2018. The GMM algorithm estimated six clusters. We find that the first cluster, with Nordic countries, Netherlands and Austria, has the highest values of telecommunication infrastructure, citizens’ access to e-government services and Transparency International’s Corruption Perception Index. At the opposite pole, in cluster 2, Romania and Bulgaria have the lowest values of these three indicators, while their public investment levels are not significantly under EU averages. Our research provides not only an overview of the digitization of administrations, but also what are the main lags that state administrations have to recover in order to reach a digital system integrated into the EU's administrative space.
"Effective digitalization of public administrations and economies requires rethinking of how e-government and digital services with increasing e-participation can support corruption reduction and social development. This paper aims to study the interdependencies and differences between the multidimensional phenomena of administrative corruption and digitalization in the EU member states. The research methods applied are Canonical Correlation Analysis and Principal Component Analysis. Ten relevant variables for 2019 and 2020 were selected and integrated into this research. The research results showed that digitalization significantly improved the quality of public administrations and reduced corruption. The new composite index designed and determined for EU member states showed a vast gap between the Nordic and Eastern European countries. Our results confirm that the level of e-government was found to be the best predictor of control of corruption and government effectiveness suggesting that digitalized and less corrupt governments also made economies more competitive. The digitization of public administration and services is a strategic objective of EU member states and should become a priority in the new technological era."
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