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Cited by 409

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Supply chain disruption propagation: a systemic risk and normal accident theory perspective

Open access
Scheibe, Kevin P., Blackhurst, Jennifer·2018·International Journal of Production Research

Abstract

When a disruption occurs in a firm, its effects are often felt throughout the supply chain. As supply chains expand globally and companies pursue velocity and efficiency, the probability of disruptions propagating throughout a chain grows. In this paper, we employ a qualitative, grounded theory case study approach to help understand what drives supply chain disruption propagation and to provide theoretical insights into this emerging area. For a more complete perspective, we study three interconnected tiers in seven unique supply chains. Each supply chain triad consists of (1) a focal firm (a manufacturer), (2) a supplier to the focal firm and (3) a customer of the focal firm allowing us to gain perspective from three levels in multiple supply chains. Three aggregate dimensions are defined which help explain the propagation of supply chain disruptions: the nature of the disruption, structure and dependence, and managerial decision-making. Within these dimensions, six themes are identified giving an increased level of granularity into disruption propagation: correlation of risk, compounding effects, cyclical linkages, counterparty risk, herding and misaligned incentives. Organisations should consider these themes and their interactions to effectively deal with supply chain disruptions.

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Metadata

Authors
Scheibe, K. P., & Blackhurst, J.
Venue
International Journal of Production Research
Published
2017-07-20
Volume
56
Issue
1-2
Pages
43-59
ISSN
  • 0020-7543 (ISSN-L)
  • 1366-588X
OpenAlex
W2736633056
Cited by
409
References
6
FWCI
60.55
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Supply chain disruption propagation: a systemic risk and normal accident theory perspective. https://app.cochat.ai/papers/10.1080/00207543.2017.1355123
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Scheibe, K. P., & Blackhurst, J. (2018). Supply chain disruption propagation: a systemic risk and normal accident theory perspective. International Journal of Production Research. https://doi.org/10.1080/00207543.2017.1355123

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.