Please use this identifier to cite or link to this item: http://repository.hneu.edu.ua/handle/123456789/24745
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dc.contributor.authorGavkalova N. L.-
dc.contributor.authorLola Y. Y.-
dc.contributor.authorProkopovych S. V.-
dc.contributor.authorSybirtsev V.-
dc.contributor.authorDiachek V.-
dc.date.accessioned2021-02-22T08:48:37Z-
dc.date.available2021-02-22T08:48:37Z-
dc.date.issued2020-
dc.identifier.citationGavkalova N. Neural Network Modeling of E-Government Development and the Socio-Economic Environment / N.Gavkalova., Y. Lola., S. Prokopovych. other // International Journal of Advanced Science and Technology.- 2020. - 29(8 Special Issue). - Р. 2379–2384.ru_RU
dc.identifier.urihttp://repository.hneu.edu.ua/handle/123456789/24745-
dc.description.abstractMany studies are devoted to the peculiarities of the information society, new level of interaction between government, business and citizens, assessment of the E-government progress in developed and developing countries. This paper examines the influence of the e-government development on the economic, social and political activities of modern society. The correlation and regression analysis and Neural network modeling has been used to identify the relationship between the E-Government Development Index (EGDI), the Doing Business (DB), the Global Competitiveness Index (GCI) and the Democracy Index (DI). The results demonstrate that there is a close link between the level of e-Government development and the countries’ economic, social and political attractiveness. However, it is not equal for different countries.ru_RU
dc.language.isoenru_RU
dc.subjectthe E-Government Developmentru_RU
dc.subjectthe Democracy Indexru_RU
dc.subjectthe Doing Businessru_RU
dc.subjectthe Global Competitiveness Indexru_RU
dc.titleNeural Network Modeling of E-Government Development and the Socio-Economic Environmentru_RU
dc.typeArticleru_RU
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