SocioEconomic Challenges (SEC)
Permanent URI for this collectionhttps://devessuir.sumdu.edu.ua/handle/123456789/61497
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Item DEA-Analysis Of The Effectiveness Of The Country’s Information Security System(Sumy State University, 2020) Яровенко, Ганна Миколаївна; Яровенко, Анна Николаевна; Yarovenko, Hanna Mykolaivna; Кузьменко, Ольга Віталіївна; Кузьменко, Ольга Витальевна; Kuzmenko, Olha Vitaliivna; Stumpo, M.The consequences of the fourth industrial revolution caused an increase in the level of computerization and digitalization of society, which led to problems related to the protection of information of individual users, companies and the state as a whole. The aim of this paper is to analyze the effectiveness of the information security system of countries in terms of its ability to counter information threats. Two groups of input indicators were used for this purpose. The first group was formed by 12 indicators of the country’s world development, which were selected from the World Bank database and based on the results of correlation analysisItem Nowcasting income inequality in the context of the Fourth Industrial Revolution(Sumy State University, 2017) Кузьменко, Ольга Віталіївна; Кузьменко, Ольга Витальевна; Kuzmenko, Olha Vitaliivna; Роєнко, Вікторія Володимирівна; Роенко, Виктория Владимировна; Roienko, Viktoriia VolodymyrivnaThe Fourth Industrial Revolution is opening up huge growth prospects for the world economy, while at the same time appearing new or worsening existing problems, one of which is income inequality. The issue of inequality has significant socio-economic and geopolitical importance worldwide since the substantial social and property stratification of the population leads to exacerbation of local, national and even international confrontations in society. This article examines the main technological and socio-economic drivers related to the Fourth Industrial Revolution (Industry 4.0) on income inequality in developed countries (France, Germany, Italy, Spain, UK). Based on recognition of trend and the cyclical component of the dynamics of income inequality and Industry 4.0indicators and using Google search data the authors nowcast the level of Gini coefficient on 15 years ahead.