Journal article
The Severity of Supply Chain Disruptions: Design Characteristics and Mitigation Capabilities
Decision sciences, Vol.38(1), pp.131-156
Received: August 2005. Accepted: January 2007.
02/2007
DOI: 10.1111/j.1540-5915.2007.00151.x
Abstract
Supply chain disruptions and the associated operational and financial risks represent the most pressing concern facing firms that compete in today's global marketplace. Extant research has not only confirmed the costly nature of supply chain disruptions but has also contributed relevant insights on such related issues as supply chain risks, vulnerability, resilience, and continuity. In this conceptual note, we focus on a relatively unexplored issue, asking and answering the question of how and why one supply chain disruption would be more severe than another. In doing so, we argue, de facto, that supply chain disruptions are unavoidable and, as a consequence, that all supply chains are inherently risky. Employing a multiple-method, multiple-source empirical research design, we derive novel insights, presented as six propositions that relate the severity of supply chain disruptions (i) to the three supply chain design characteristics of density, complexity, and node criticality and (ii) to the two supply chain mitigation capabilities of recovery and warning. These findings not only augment existing knowledge related to supply chain risk, vulnerability, resilience, and business continuity planning but also call into question the wisdom of pursuing such practices as supply base reduction, global sourcing, and sourcing from supply clusters. © 2007, Decision Sciences Institute.
Details
- Title: Subtitle
- The Severity of Supply Chain Disruptions: Design Characteristics and Mitigation Capabilities
- Creators
- Christopher W Craighead - Auburn UniversityJennifer Blackhurst - Iowa State UniversityM. Johnny Rungtusanatham - University of MinnesotaRobert B Handfield - North Carolina State University
- Resource Type
- Journal article
- Publication Details
- Decision sciences, Vol.38(1), pp.131-156
- Edition
- Received: August 2005. Accepted: January 2007.
- Publisher
- Blackwell Publishing Inc
- DOI
- 10.1111/j.1540-5915.2007.00151.x
- ISSN
- 0011-7315
- eISSN
- 1540-5915
- Number of pages
- 26
- Language
- English
- Date published
- 02/2007
- Academic Unit
- Business Analytics; Bus Admin Graduate Programs
- Record Identifier
- 9984201528802771
Metrics
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