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An Empirically Derived Framework of Global Supply Resiliency

Blackhurst, Jennifer, Dunn, Kaitlin S., Craighead, Christopher W.·2011·Journal of Business Logistics

Abstract

In today’s global business environment, supply chains have increased in both length and complexity. This increase in length and complexity coupled with a focus on improving efficiency, such as lean manufacturing practices, may lead to higher levels of supply chain risk where the likelihood of a disruption severely impacting supply chain performance increases. Resilient supply chains have been touted as a means to reduce the likelihood and severity of supply chain disruptions. However, there is little empirical evidence relative to the factors that contribute to or detract from supply resiliency. Using systems theory and the resource-based view of the firm as the theoretical underpinnings, this study provides an in-depth systematic investigation of supply resiliency. Adopting a theory-building approach based on a multi-industry empirical investigation, this study derives empirical generalizations linking 19 supply chain characteristics to supply resiliency. The study culminates in a framework that could be used to assess the level of resiliency in a supply base. Building on this framework, the study also provides a supply resiliency matrix that can be utilized to classify supply chains, or supply chains segments according to the level of resiliency realized. This article concludes by proposing several future research directions and issues that may be investigated in more detail.

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Metadata

Authors
Blackhurst, J., Dunn, K. S., & Craighead, C. W.
Venue
Journal of Business Logistics
Publisher
Wiley
Published
2011-12
Volume
32
Issue
4
Pages
374-391
ISSN
0735-3766 (ISSN-L)
OpenAlex
W1532579437
Cited by
758
References
5
FWCI
43.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An Empirically Derived Framework of Global Supply Resiliency. https://app.cochat.ai/papers/10.1111/j.0000-0000.2011.01032.x
The paper
Blackhurst, J., Dunn, K. S., & Craighead, C. W. (2011). An Empirically Derived Framework of Global Supply Resiliency. Journal of Business Logistics. https://doi.org/10.1111/j.0000-0000.2011.01032.x

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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.