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Journal ArticleDOI

The severity of supply chain disruptions: Design characteristics and mitigation capabilities

TLDR
It is argued, de facto, that supply chain disruptions are unavoidable and, as a consequence, that all supply chains are inherently risky.
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.

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Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

TL;DR: The results of a simulation study that opens some new research tensions on the impact of COVID-19 (SARS-CoV-2) on the global SCs are presented and an analysis for observing and predicting both short-term and long-term impacts of epidemic outbreaks on the SCs along with managerial insights are offered.
Journal ArticleDOI

Qualitative case studies in operations management: Trends, research outcomes, and future research implications

TL;DR: In many of the qualitative case studies reviewed, sufficient details in research design, data collection, and data analysis were missing and there was a lack of consistency in the way the case method has been applied.
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The organizational antecedents of a firm’s supply chain agility for risk mitigation and response

TL;DR: In this article, the authors investigated the impact of two cultural antecedents, market orientation and learning orientation, and three organizational practices, all aimed at augmenting the supply chain agility of a firm.
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Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak

TL;DR: An intertwined supply network (ISN) is an entirety of interconnected supply chains (SC) which, in their integrity secure the provision of society and markets with goods and services.
References
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Journal ArticleDOI

Building theories from case study research

TL;DR: In this paper, the authors describe the process of inducting theory using case studies from specifying the research questions to reaching closure, which is a process similar to hypothesis-testing research.
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The Resource-Based Theory of Competitive Advantage: Implications for Strategy Formulation

TL;DR: In this article, the authors argue that internal resources rather than the market environment should provide the foundation for a firm's strategy, based on an analysis of relationships among resources, capabilities, conpetitive advantage, and profitability.
Journal ArticleDOI

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Managing Disruption Risks in Supply Chains

TL;DR: In this paper, the authors provide a conceptual framework that reflects the joint activities of risk assessment and risk mitigation that are fundamental to disruption risk management in supply chains, and consider empirical results from a rich data set covering the period 1995-2000 on accidents in the U. S. Chemical Industry.
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