Understanding Tensions in Digital Supply Chain Ecosystems

Éditeurs invités

  • Robert Glenn Richey, Jr., Auburn University
  • Tarun Agrawal, Chalmers University of Technology
  • Jag Srai, University of Cambridge
  • Medo Pournader, University of Melbourne

Synthèse

Organizations in digital supply chain ecosystems face conflicting demands: enhancing data sharing and coordination while protecting proprietary information and managing platform dependencies. Digital transformation restructures supply chains from linear, firm-centric models into interconnected ecosystems where control and decision-making are distributed across multiple participants.

This Special Issue applies the responsiveness view to examine how digital supply chain ecosystems reshape coordination when organizations must adjust behaviors across technological boundaries. It explores how ecosystem participants leverage digital visibility for coordinated action while mitigating cybersecurity and strategic vulnerabilities.

The Special Issue welcomes diverse methodological approaches including conceptual, quantitative, and longitudinal research that deepens understanding of responsiveness in digitally mediated supply chains. Contributions should advance theory while providing guidance for designing ecosystems that balance responsiveness, security, sustainability, and value creation.

Thèmes proposés

  • AI-enabled supply chain ecosystems and algorithmic decision-making
  • Data ownership, access rights, and competitive advantage
  • Digital infrastructures and supply chain responsiveness
  • Digital product passports for transparency and circularity
  • Platform governance and ecosystem-level value creation
  • Digitalization in circular supply chains
  • Governance mechanisms for secure ecosystem responsiveness
  • Institutional and regulatory drivers of transparency
  • Risk propagation in interconnected supply chains
  • Agility, flexibility, adaptability, improvisation, and resilience
  • Trade-offs among openness, protection, speed, and control