Supply chain risks of trade companies during a large-scale crisis

Abstract

Introduction. The effectiveness of modern management of business structures directly de­pends on the analysis of potential risks and asses­sment of the probability of their occurrence. Risk management tools are of particular importance in optimizing the functioning of supply chains of trade enterprises. Problem. Russia’s full-scale military inva­sion of Ukraine significantly changes appro­aches to supply chains organization, requires their promptly reformatting. This necessitates an analysis of the key risks associated with the operation of martial law and the consequences of their impact on supply chains in trade. The aim of the article is to determine the nature of the risks of functioning of trading companies’ supply chains under martial law and to substantiate the practical tools of logistics management aimed at minimizing losses as a re­sult of their occurrence. Methods. The methodological apparatus of the research consists of general scientific met­hods (system analysis, determination of direct and reverse relations between economic pheno­mena and processes, comparative analysis) and special economic methods (statistical-analy­ti­cal, qualitative and quantitative analysis, situa­tional analysis). Results. It was determined that the logistics industry was one of the first to feel the con­sequences of military actions and the urgent need to rebuild the established mechanisms of logistics services of trade flows. The main groups of risks that affect the operation of trade com­panies supply chains in war conditions have been studied, the main forms of their mani­festation and consequences have been assessed. Conclusions. Considering the acute impact of the military invasion of Ukraine on the function­ning of trading companies’ supply chains, the necessity of flexible and diversified transfor­mation of their logistics strategies has been determined. The importance of risk monitoring and the development of alternative action plans for various scenarios has been proven.