Science, Technologies, Innovations №3(39) 2026, 33-41 p

https://doi.org/10.35668/2520-6524-2026-3-05

Zakharchuk O. V. — D. Sc. in Economics, Professor, Corresponding Member of the National Academy of Agrarian Sciences of Ukraine, Head of the department of investment, material and technical ensuring, National Scientific Centre “Institute of Agrarian Economics”; 10, Heroiv Oborony Str., Kyiv, Ukraine 03127; zahar-s@ukr.net; ORCID: 0000-0002-1734-1130; Scopus ID: 57200313044

Navrotskyi Ya. F. — PhD in Economics, Senior Researcher, Leading Researcher of the department of investment, material and technical ensuring, National Scientific Centre “Institute of Agrarian Economics”; 10, Heroiv Oborony Str., Kyiv, Ukraine, 03127; +38 (097) 294-62-37; yarol.nav@gmail.com; ORCID: 0000-0003-4677-5306; ResearcherID: JCN-9406-2023; Scopus ID: 58677220900

ORGANIZATIONAL AND ECONOMIC MECHANISMS FOR ENHANCING THE COMPETITIVENESS OF UKRAINE’S MACHINERY MANUFACTURING INDUSTRY

Abstract. The purpose of the study is to substantiate organizational and economic mechanisms for enhancing the competitiveness of Ukraine’s machine-building industry under conditions of war and post-war industrial recovery. The methodology combines statistical analysis of official data from the State Statistics Service of Ukraine, the National Bank, and sectoral reviews for 2021–2025 with conceptual modeling of an organizational and economic mechanism that combines clustering of enterprises on a territorial-sectoral basis with Kohonen self-organizing maps for multidimensional classification by competitiveness level. It is established that the industry’s operating profitability (11,4 %) exceeds the average industrial level, while foreign trade remains weak and investment activity is predominantly restorative. Key barriers are identified: shortage of qualified personnel, power supply disruptions, and limited access to financing. Practical recommendations on production localization, development of sectoral clusters, and the introduction of annual competitiveness monitoring based on Kohonen maps are substantiated.

Keywords: competitiveness, organizational and economic mechanism, machine-building industry, clustering, Kohonen maps, neural networks, production localization, government support.

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Received 06/29/2026
Accepted for publication 08/03/2026
Published 09/30/2026

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