The Use of Data Analytics in Public Administration for Corruption Prevention During Hybrid Warfare

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Abstract

The relevance of the selected theme is stipulated by the destructive effect of corruption on the social structure of society and the weakening of the rule of law. Corruption schemes as an instrument of geopolitics are used as a part of the foreign policy arsenal of authoritarian states such as Russia. Under such circumstances, data analytics provides researchers and public society with a large volume of analytical instruments, enabling comprehensive monitoring of governments. Such monitoring enhances the efficiency of corruption prevention in public administration. The article aims to determine the data analytics method for corruption prevention in public administration during hybrid warfare. Using the methods of content analysis, historical, abstract-logical methods, we found how data analytics can contribute to effective corruption prevention in public administration. Perspective and appropriate methods of data analytics used for corruption prevention in public administration were found. Based on the results of the conducted study, recommendations for improvement of the use of data analytics in public administration for corruption prevention during hybrid warfare were offered. The perspective of further studies includes research on introducing data analytics in the everyday work of particular state institutions.
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在混合战争期间利用公共行政数据分析预防腐败
腐败对社会结构的破坏性影响以及法治的削弱说明了所选主题的相关性。腐败计划作为地缘政治的一种手段,是俄罗斯等专制国家外交政策武库的一部分。在这种情况下,数据分析为研究人员和公众社会提供了大量分析工具,使其能够对政府进行全面监督。这种监督提高了公共行政预防腐败的效率。本文旨在确定混合战争期间公共行政预防腐败的数据分析方法。利用内容分析法、历史分析法、抽象逻辑法,我们发现了数据分析如何有助于有效预防公共行政中的腐败。我们找到了数据分析用于预防公共行政腐败的视角和适当方法。在研究结果的基础上,我们提出了在混合战争中如何更好地在公共行政中使用数据分析来预防腐败的建议。进一步研究的视角包括在特定国家机构的日常工作中引入数据分析的研究。
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