
AbstractMore than a decade ago, other fields started to challenge the equilibrium‐focused meaning of resilience. They suggested that resilience does not just relate to the ability of a system to “bounce back” after an impeding event, but also to the capacity to adapt and transform. The operations and supply chain management literature remains surprisingly disconnected from these debates. This essay sets out to further our theoretical knowledge of what resilience means (or means to others) by disentangling two prominent perspectives of resilience—engineering resilience and social‐ecological resilience—and offering an updated definition of supply chain resilience. We integrate and discuss these perspectives in the context of our understanding of the supply chain as a system. The goal is to outline the potential links and inconsistencies of these perspectives with supply chain management (SCM). From there, we seek to develop a more comprehensive understanding of what resilience means in SCM. Supply chain resilience is then no longer understood in terms of stability, but in terms of adaptation and transformation.
Automation, Social-ecological systems, Supply chain resilience, Adaptation, Transformation
Automation, Social-ecological systems, Supply chain resilience, Adaptation, Transformation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 571 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
