Supply networks for extreme uncertainty: a resource orchestration perspective

Purpose Disasters are growing in frequency and scale, unmasking the systemic vulnerabilities of modern supply chains highlighting need to understand how respond such events. In context an extreme event as COVID-19 pandemic, this research focuses on networks organizations leverage their combined resources capabilities develop, manufacture deliver new products outside traditional markets. Design/methodology/approach Following a theory elaboration process, authors build resource orchestration develop data collection analysis protocols support multi-case study design. This investigates four cases newly formed that emerged different countries – Colombia, Italy, United States Kingdom–in response pandemic. Findings These investigation share common characteristics terms motivation approach, creating patterns from which theoretical generalizations developed into series propositions regarding process network-level under uncertainty. Practical implications The shows within them can streamline processes, swiftly relationships balanced risk management approach Originality/value contributes by extending model network level showing uncertainty lead emergence alter motivations goals member organizations, allowing be more responsive.