Abstract
Aim: The aim of the study is to present the development and application possibilities of the KAR-MAP system (Corruption Analysis and Risk Mapping – Monitoring, Analytics and Prevention), which was designed to digitally implement the job and positionbased corruption exposure assessment carried out within the framework of the 2024–2025 National AntiCorruption Strategy (NACS).
Methodology: The research demonstrates how the analytical methodology of the NACS datacollection questionnaire can be transformed into a softwarebased, datadriven environment capable of supporting transparent, measurable and empirically grounded integrity management in public administration. The paper also presents the integration architecture of KAR-MAP and the KAR-System (Corruption Analysis and Recognition System), which enables data exchange and provides the basis for future feedback processes supported by artificial intelligence.
Findings: The application of KAR-MAP during the NACS assessment confirmed that joblevel corruption exposure can be measured digitally in a reliable and comparable manner. The system is suitable for identifying risk patterns, developing joblevel and organisational (micro and macrolevel) integrity profiles in an environment expandable with artificial intelligence, and strengthening managerial decision support. The software architecture supports the future introduction of predictive analyses and allows integration with other governmental information systems.
Value: The novelty of the study lies in presenting the full digitalisation of job and positionbased corruption risk analysis within a system that aligns with international integrity management frameworks (OECD, UNODC, ISO) and with the datadriven expectations reflected in the European Commission’s Rule of Law Reports. The KAR-MAP model contributes to demonstrating that integrity management is not only a legal and organisational issue, but also a technological one. The joint application of the KAR systems indicates that corruption should not be regarded as an inevitable phenomenon, but as a risk that can be anticipated and managed systematically within organisational operations.
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