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    Matchmaking The Success of Digital Twins: Aligning Capabilities, Conditions, and Key Drivers Across the Industrial Value Chain
    Digital twins are transforming industrial value chains, yet their full business potential remains underexplored beyond technological implementation. This study shifts the focus from technology adoption to value creation, examining the intrinsic characteristics that drive digital twin impact, the environmental conditions enabling their deployment, and the key business value drivers across the product and production lifecycle.Using an inductive, qualitative research approach, we analyze 54 expert interviews across manufacturing, technology, and platform-based ecosystems. Our findings reveal three core digital twin characteristics, five critical environmental enablers, and four dominant business value drivers-innovation, efficiency, effectiveness, and exploitation-each shaping distinct value areas within industrial operations.This study contributes to the literature by reframing digital twins as strategic assets rather than operational tools, highlighting their role in multi-stakeholder industrial ecosystems. It provides a structured framework for digital twin adoption, offering actionable insights for organizations seeking scalable, interoperable, and economically viable solutions. By bridging theoretical insights with managerial relevance, our research strengthens the foundation for digital twin-driven business transformation and long-term value generation in industrial environments.
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    Building the Industrial Metaverse: Facilitating Secure and Efficient Digital Twin Transactions
    The Industrial Metaverse merges physical and digital realms, transforming industrial processes through technologies like Digital Twins. This study explores the building blocks of an Industrial Metaverse platform ecosystem, enabling secure, efficient, and collaborative Digital Twin transactions. Defined as an immersive space for interaction, collaboration, and value exchange, the Industrial Metaverse offers opportunities for innovation and sustainability. We outline five evolutionary stages of Digital Twins—from reverse-engineered to incentivized—highlighting their transformation from static tools to dynamic digital assets. This evolution enables secure transactions, protects intellectual property, supports cross-organizational collaboration, and turns Digital Twins into valuable economic assets. These advancements unlock decentralized manufacturing, enhanced customer engagement, and co-creation, aligning with Sustainable Development Goals by fostering resilient infrastructure and sustainable innovation. Using insights from 54 industry interviews and an inductive approach, we identify three critical dimensions of the Industrial Metaverse: technological interoperability, trust mechanisms, and economic incentives. Managers must embrace cultural shifts toward openness, intellectual property sharing, and collaboration while addressing challenges like interoperability and stakeholder readiness. This paper provides a roadmap for leveraging Digital Twins within the Industrial Metaverse and highlights areas for further research, including governance, mechanisms, and industrial transformation, advancing both theory and practice.
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