WORLD EXPERIENCE IN MANAGING THE EFFICIENCY OF INNOVATIVE ACTIVITIES OF MACHINE-BUILDING ENTERPRISES

Main Article Content

Inna VISHTAK
Leonid MAIDANEVYCH
Viktoriia STRELCHENKO

Abstract

Introduction. The machine-building sector serves as a core component of the industrial framework in any developed country, as it determines the technological maturity of related industries and significantly influences the overall competitiveness of the national economy. Current challenges, such as globalization, rapid scientific and technological advancement, and the digitalization of production processes, are profoundly reshaping the operational environment of machine-building enterprises. In this context, there is an increasing need for the continuous improvement of innovation management practices. Enhancing the efficiency of innovation activities becomes especially critical in light of the transition to the Industry 4.0 paradigm.


Purpose. The study consists of a comprehensive analysis of the world experience in managing the efficiency of innovative activity of machine-building enterprises and developing recommendations for its adaptation in the conditions of the Ukrainian economy to increase the competitiveness of domestic machine-building enterprises.


Results. A comprehensive analysis of global best practices in enhancing the efficiency of innovation activities at machine-building enterprises was conducted. The study systematically examined innovation ecosystems in both developed countries (such as the USA, Germany, Japan, and South Korea) and emerging economies (China, India, Brazil). Distinctive features of national innovation models and institutional environments were identified, which determine the success of innovation policies at both the state and enterprise levels.


A number of established models for assessing innovative potential were analyzed, including SPACE-analysis, the Balanced Scorecard (BSC) framework, and quantitative approaches based on index calculations and matrix evaluation techniques. These models served as the methodological foundation for evaluating the innovation capabilities of machine-building enterprises in a comparative and adaptable format.


A multi-level system of criteria for comprehensive assessment of the efficiency of innovation activity was proposed. It is based on three core indicators: development of new machinery and equipment; advancement of technological processes; effectiveness of implementation of design and technological innovations.


This system incorporates 18 key performance indicators covering technological, economic, organizational, and social aspects of innovation, ensuring a holistic view of enterprise-level innovation dynamics.


Originality. The correlation-regression analysis revealed statistically significant relationships between the level of innovation activity and the financial and economic performance of machine-building enterprises. Key drivers of successful innovation were identified, including investment in R&D, digital transformation, human capital development, and collaboration with research institutions.


The analysis also underscored a gap between the innovation performance of Ukrainian machine-building enterprises and their international counterparts, largely due to limited integration into global value chains, outdated production capacities, and insufficient institutional support for innovation.


In light of these challenges, the study substantiates the necessity of developing adaptive innovation strategies for Ukrainian enterprises. These strategies should be responsive to both global technological trends and national economic constraints.


A conceptual model for innovation activity management was developed. It integrates: strategic innovation planning; operational management of R&D processes; performance monitoring and continuous improvement mechanisms.


Priority areas for improving the innovation performance of Ukrainian machine-building enterprises were formulated. These include: adoption and scaling of Industry 4.0 technologies (IoT, AI, additive manufacturing, cyber-physical systems); creation of technology transfer mechanisms; formation of innovation clusters and inter-firm networks; enhancement of state policy instruments for stimulating innovation (grants, tax incentives, public-private partnerships).


Conclusion. The conducted research highlights the crucial role of integrated and adaptive innovation management in strengthening the competitive positions of machine-building enterprises, particularly in the context of global technological shifts. Drawing on international experience and tailored to national realities, the proposed methodological tools and strategic recommendations provide a roadmap for enhancing the innovation capacity of Ukraine’s machine-building sector.


Implementation of these approaches will foster technological modernization, increase value-added production, and promote sustainable industrial development. Active state support, business-academic collaboration, and a focus on digital innovation are key conditions for the successful transformation of the machine-building industry in Ukraine.

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