Risk modelling as a way to diagnose corruption in procurement system: Practice and legislation

The study aimed to analyse risk modelling methods for diagnosing and preventing corruption in public procurement. The research methods included an analysis of the existing legislation of Kazakhstan in the field of public procurement and an in-depth study of cases that illustrate the real experience of implementing methods of diagnosing corruption in this area. In the context of the intensified fight against corruption in Kazakhstan, state and municipal procurement systems were emphasised. One of the methods of diagnosing corruption risks in such systems is risk modelling, which helps to identify potential weaknesses and abuses in the tender and procurement process. The study identified the main factors contributing to corruption in the public procurement system and offers recommendations for improving legislative and organisational mechanisms to increase transparency and accountability in the tender process. The study also identified key factors contributing to corruption in Kazakhstan’s public procurement system, including insufficient transparency of tender procedures, lack of effective control mechanisms, and collusion between tenderers. An analysis of the existing legislation of Kazakhstan in the field of public procurement was conducted, and regulatory gaps that impede corruption prevention were identified. Recommendations for improving legal regulation are offered legal regulation, taking into account international experience and standards. The key conclusion is that risk modelling is becoming substantial in the fight against corruption, as it allows for the advanced prediction and elimination of possible threats, thereby improving the efficiency of the public procurement system. Practical application of the proposed methodological approaches, integration of social data and modern technologies, such as artificial intelligence, in the monitoring of public procurement opens opportunities to increase transparency and efficiency of anti-corruption mechanisms