This article explores the emerging paradigm of Industry 5.0 through the conceptual framework of the Intelligent Cyber-Social Ecosystem—an integrated, human-centered model that emphasizes the convergence of technological innovation, social interaction, and environmental sustainability. In contrast to the automation-driven focus of Industry 4.0, this study offers a systemic perspective in which technologies such as Artificial Intelligence, the Internet of Things, cyber-physical systems, and Big Data are employed not merely for efficiency, but in the service of human creativity, ethical governance, and socio-environmental responsibility. Through a content-based synthesis of relevant literature, the study develops an architectural model of Industry 5.0, presenting an overview of its technological elements, design principles, and intelligent components. These technologies enable personalized manufacturing, intelligent supply chains, circular economy models, and enhanced collaboration between humans and machines. The findings underscore the transformative potential of Industry 5.0 to reimagine industrial development by aligning digital transformation with human values and sustainable practices. The study contributes to the theoretical foundation of Industry 5.0 and offers practical guidance for strategic decision-making in industrial policy, innovation management, and organizational design. It also acknowledges the limitations associated with the early stage of development in this field and outlines directions for future research, including empirical validation, ethical assessment frameworks, and governance models based on stakeholder participation.

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Intelligent Cyber-Social Ecosystem Industry 5.0

  • Neli Stoycheva

摘要

This article explores the emerging paradigm of Industry 5.0 through the conceptual framework of the Intelligent Cyber-Social Ecosystem—an integrated, human-centered model that emphasizes the convergence of technological innovation, social interaction, and environmental sustainability. In contrast to the automation-driven focus of Industry 4.0, this study offers a systemic perspective in which technologies such as Artificial Intelligence, the Internet of Things, cyber-physical systems, and Big Data are employed not merely for efficiency, but in the service of human creativity, ethical governance, and socio-environmental responsibility. Through a content-based synthesis of relevant literature, the study develops an architectural model of Industry 5.0, presenting an overview of its technological elements, design principles, and intelligent components. These technologies enable personalized manufacturing, intelligent supply chains, circular economy models, and enhanced collaboration between humans and machines. The findings underscore the transformative potential of Industry 5.0 to reimagine industrial development by aligning digital transformation with human values and sustainable practices. The study contributes to the theoretical foundation of Industry 5.0 and offers practical guidance for strategic decision-making in industrial policy, innovation management, and organizational design. It also acknowledges the limitations associated with the early stage of development in this field and outlines directions for future research, including empirical validation, ethical assessment frameworks, and governance models based on stakeholder participation.