Within V4 automotive Global Value Chains (GVCs), technologies absorbed by the corporate sector represent a significant impact on the level of value-added created within the economy. Sectoral and geographic targeting of our research is determined by the export of motor vehicles, trailers, and semi-trailers produced in the V4 countries. The article's main objective was to investigate the role of services provided by V4 countries within GVCs with an emphasis on transport and storage. The authors used the method of linear regression analysis to answer two central research questions. Is there a synergic or spillover effect within the automotive clusters of the V4 countries in creating value-added originating in the logistic services? What role absorption of technology at the firm level in EU27 countries (the most important trading partners of the V4 countries) plays in creating value-added in the V4 automotive sector? Authors found differentiated results within V4 countries, confirming the hypothesis related to technology absorption. Implications for Central European audience: Despite high V4 export performance, the research suggests how to increase the value-added through higher involvement within GVCs (particularly the automotive industry). The paper demonstrates a positive impact of importing transport services from the EU countries to some V4 countries (Slovakia, Czechia, and Poland) and its value-added content in gross exports. For any V4 country, an increase in the quality of the business environment of EU trade partners (measured as the corporate level of technology absorption) results in a lower value-added creation, quite significantly, with lower effect in the case of Czechia, but more than 15% decrease in case of Poland, Hungary, and Slovakia.

Purpose. Development of an adaptive economic and mathematical model of raw material supply management for the production activities of industrial enterprises. Methodology. In the course of the study, the following methods of understanding economic phenomena and processes were used to solve the problems posed in the work: system analysis, economic and mathematical modeling, abstract-logical and graphical methods. Findings. The work identifies specific characteristics of the organization of supply of raw materials, equipment, inventory and finished products to industrial enterprises. An adaptive economic and mathematical model of optimization of material and technical supply of these enterprises is formulated. The proposed model simplifies the choice of raw material inventory management system depending on the specifics of the production process of a particular enterprise and the external conditions of its operation. The use of adaptive model is necessary in the formation of supply and demand change programs in the markets of finished products, monitoring the movement of own funds in the organization of transportation of raw materials from suppliers and redistribution of available financial resources to address the priorities of business entities. Originality. The authors propose an adaptive economic and mathematical model for optimizing material and technical supply, which takes into account the possibility of violation of the delivery time of inventory items under the influence of force majeure, and also determines the optimal amount of raw materials for supply under certain operating conditions of a particular industrial enterprise. Practical value. The use of the economic and mathematical model formed by the authors in the economic activity of industrial enterprises will allow the latter to timely forecast and plan their logistics costs and, as a consequence, avoid irrational spending of available financial resources.