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

Shevchenko, N, and Marukhlenko, Oksana and Trach, O. and Shvedenko, P. and Dubovych, O. (2024) The Use of Data Analytics in Public Administration for Corruption Prevention During Hybrid Warfare Pakistan Journal of Criminology, 16 (2). pp. 943-958. ISSN 2222-6648

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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.

Item Type: Article
Uncontrolled Keywords: data analytics; hybrid war; public administration; corruption; corruption prevention
Subjects: Статті у базах даних > Scopus
Divisions: Факультет економіки та управління > Кафедра управління
Depositing User: доцент Оксана В'ячеславівна Марухленко
Date Deposited: 13 May 2024 07:45
Last Modified: 13 May 2024 07:45
URI: https://elibrary.kubg.edu.ua/id/eprint/48924

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