Innovation Ecosystems and Adaptive Operations: Unpacking the Role of Digital Twins in Resilient Production Networks

Abstract

The rapid integration of advanced digital technologies into industrial ecosystems has ushered in a new era of innovation-oriented and adaptive operations. Within this dynamic environment, digital twins—virtual representations of physical assets, processes, and systems—are emerging as a foundational paradigm for resilient, data-driven production networks. This paper examines how digital twins function as integrative enablers within innovation ecosystems, connecting stakeholders, synchronizing processes, and promoting adaptive decision-making in the face of market volatility, supply chain disruptions, and evolving customer demands. Through a comprehensive literature review, a structured methodological framework, and an in-depth analysis of results from industry case studies, this research presents digital twins as a transformative approach to operational resilience. The findings underscore the importance of robust data infrastructures, predictive analytics, and simulation-driven optimization in enhancing production network agility. The paper concludes by highlighting the implications for managers, policymakers, and engineers as they seek to leverage digital twins to create more sustainable and competitive industrial operations.