INDUSTRIAL CONSTRUCTIVISM AS A METHODOLOGICAL BASIS FOR THE TRANSFORMATION OF TECHNOLOGICAL PARADIGMS AND MODERN PRODUCTION SYSTEMS IN THE CONTEXT OF INDUSTRY 4.0–5.0

Abstract

Introduction. The evolution of industrial paradigms from Industry 1.0 to cognitive-social configurations presents challenges for modern management and technological integration. Linear models of mechanization, electrification, and automation are no longer sufficient to meet the demands of digitalized and human-centered production. The convergence of cyber-physical systems, artificial intelligence, and cognitive technologies requires a holistic framework addressing both technical infrastructures and social dimensions of enterprise management. Purpose. This study conceptualizes an integrative model uniting technological and social aspects of industrial systems, emphasizing adaptability, resilience, and human-centered production. It argues that constructivist principles—rationalization, functional optimization, modularity, humanization, and management aesthetics—can serve as methodological foundations for designing flexible and cognitively adaptive structures. Methods. The research employs a qualitative-analytical approach including comparative analysis of industrial paradigms, systematization of management principles, and synthesis of constructivist perspectives. A model-based methodology maps interactions among digital technologies, AI-driven systems, cyber-physical infrastructures, and human operators, highlighting feedback loops and adaptive mechanisms. Visual and conceptual modeling techniques illustrate systemic integration and interdependencies. Results. Findings show that Industry 4.0 and 5.0 paradigms prioritize flexibility, real-time adaptability, and human-centered innovation. The proposed constructivist model demonstrates how technological components—automation, AI, and networked infrastructures—can be harmonized with social factors such as decision-making, ergonomics, and collaborative practices. The model reveals reciprocal reinforcement between digital and cognitive-social subsystems, enabling enterprises to achieve higher efficiency, resilience, and innovation. Conclusion. Constructivist integration of technology and social dimensions provides a critical pathway for building adaptive, sustainable, and human-centered production systems. The model serves as a practical framework for anticipating industrial trends, optimizing managerial practices, and supporting strategic decision-making. Its adoption enhances organizational resilience, fosters human-centric innovation, and strengthens competitiveness of modern enterprises.