{"title":"The Use of Data Analytics in Public Administration for Corruption Prevention During Hybrid Warfare","authors":"","doi":"10.62271/pjc.16.2.943.958","DOIUrl":null,"url":null,"abstract":"The relevance of the selected theme is stipulated by the destructive effect of\ncorruption on the social structure of society and the weakening of the rule of law.\nCorruption schemes as an instrument of geopolitics are used as a part of the foreign\npolicy arsenal of authoritarian states such as Russia. Under such circumstances,\ndata analytics provides researchers and public society with a large volume of\nanalytical instruments, enabling comprehensive monitoring of governments. Such\nmonitoring enhances the efficiency of corruption prevention in public\nadministration. The article aims to determine the data analytics method for\ncorruption prevention in public administration during hybrid warfare. Using the\nmethods of content analysis, historical, abstract-logical methods, we found how\ndata analytics can contribute to effective corruption prevention in public\nadministration. Perspective and appropriate methods of data analytics used for\ncorruption prevention in public administration were found. Based on the results of\nthe conducted study, recommendations for improvement of the use of data analytics\nin public administration for corruption prevention during hybrid warfare were\noffered. The perspective of further studies includes research on introducing data\nanalytics in the everyday work of particular state institutions.","PeriodicalId":516769,"journal":{"name":"Pakistan Journal of Criminology","volume":"160 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pakistan Journal of Criminology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.62271/pjc.16.2.943.958","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.