Digitalisation of the Public Management System of Border Security as a Factor in Optimising Management Decisions in the Field of National Security

Abstract

The article examines the role and significance of digitalisation in the transformation of the public management system of border security. The authors substantiates that the introduction of the latest digital technologies (AI, Big Data, automated risk analysis systems) is a determining factor in optimising public management decisions. The authors emphasise that digitalisation changes the traditional cycle of management decision-making and includes the following interrelated stages: automated information collection; analytical processing and risk assessment; formation of alternative management decision options. Strengthening the use of decision support systems (Decision Support Systems, DSS) and the implementation of management decisions and monitoring results. The transition from traditional control models to data-driven management (Data-driven decision making), which allows minimising corruption risks and the human factor, is considered. Particular attention is paid to the integration of border components within a single digital space, which contributes to increasing the effectiveness of responding to hybrid threats. It is proven that the digitalisation of the management process at the border directly strengthens the national security of the state by strengthening economic stability and territorial integrity. The results of the study suggest recommendations for further improvement of digital tools in the activities of public authorities, in particular, to expand the use of artificial intelligence technologies and predictive analytics to predict the risks of cross-border crime and optimize control procedures; to strengthen the implementation of control models based on risk assessment; to ensure cybersecurity of digital border management systems; to improve digital accountability and audit systems that will ensure full transparency and traceability of management decisions and increase the level of trust in public institutions.