The use of data analytics in public administration for corruption prevention during hybrid warfare
Date
2024
Authors
Shevchenko, Nataliia
Marukhlenko, Oksana
Trach, Olha
Трач, Ольга Олександрівна
Shvedenko, Pavlo
Dubovych, Olesia
Journal Title
Journal ISSN
Volume Title
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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.
Description
Keywords
data analytics, hybrid war, public administration, corruption, corruption prevention, 2024а
Citation
The use of data analytics in public administration for corruption prevention during hybrid warfare / N. Shevchenko, O. Marukhlenko, O. Trach, P. Shvedenko, O. Dubovych // Pakistan Journal of Criminology. – 2024. – Volume 16, issue 2. ─ P. 943─958.