Structurology of the Mechanism of Logistics Management in Strengthening Enterprise Economic Security: A Scientific Approach

The article comprehensively examines the structural features and internal components of the logistics management mechanism as a key determinant in ensuring the economic security of an enterprise. It substantiates the critical need to deeply integrate logistics processes into the overall enterprise security management system, which encompasses strategic, operational, and tactical levels. The mechanism's components are thoroughly systematized, including supply chain coordination, inventory control, transportation optimization, and risk mitigation strategies. A conceptual structural-functional model of logistics management is proposed, which takes into account both internal organizational dynamics and external economic security threats. The authors emphasize that the design and development of such a mechanism must rely on a multidimensional and integrated approach. This approach combines organizational structures, advanced technological tools, and a robust informational infrastructure that enables real-time data analysis and proactive response. The implementation of well-planned and systematically executed actions is expected to significantly strengthen the protection of logistics operations. This will also promote the conservation of enterprise resources, reduce overall operational and logistical costs, and ensure stable, uninterrupted functioning under volatile and highly competitive market conditions. The theoretical and practical significance of the research lies in the applicability of its findings for improving logistics governance mechanisms. These enhancements will increase the overall production performance, stabilize critical supply and distribution processes, and fortify both financial sustainability and market adaptability. The proposed methodological framework will enable systematic logistics governance that aligns with the strategic objectives of economic security. Future research will refine cross-functional efficiency in production, marketing, and logistics, as well as elaborate models for monitoring performance indicators and supporting high-quality management decisions.