Building responsive and resilient supply chains: Lessons from the <scp>COVID</scp>‐19 disruption

Li, Xiang; Zhao, Xiande; Lee, Hau L.; Voss, Chris

doi:10.1002/joom.1250

Cited by 11 publications

(4 citation statements)

References 38 publications

(43 reference statements)

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“…Supply chain resilience (SCR) has drawn significant attention from both academia and industry, especially during the COVID‐19 pandemic (Li, Zhao, et al, 2023). Existing literature and knowledge on the antecedents of SCR are rich but dispersed (Kochan & Nowicki, 2018; Ponomarov & Holcomb, 2009), and it is still unclear which specific conditions are sufficient for high SCR.…”

Section: Discussionmentioning

confidence: 99%

“…SCR is becoming increasingly crucial, especially nowadays when supply chain systems are rife with tensions from unconventional emergency and disruption risks (Um & Han, 2021; Zhao et al, 2019), for example, the 2018 US government ban on ZTE, the 2020 COVID‐19 pandemic, and the 2021 Suez Canal obstruction (Aslam et al, 2022; Jacobs et al, 2022). Therefore, both academia and industries 1 emphasize the imperative for firms to prioritize the development of SCR, as numerous firms have experienced significant disruptions in their supply chains, or even perished due to the shock (Li, Zhao, et al, 2023; World Economic Forum, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Antecedent configurations toward supply chain resilience: The joint impact of supply chain integration and big data analytics capability

Jiang,

Feng,

Huang

2023

J of Ops Management

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Many antecedents identified as essential to supply chain resilience (SCR) are often studied independently, without considering their synergistic effects. Based on a case study and resource orchestration theory, this article focuses on configurations of different antecedents regarding supply chain integration and big data analytics capability to develop proactive and reactive SCR. Using survey data from 277 Chinese manufacturing firms, we consider three dimensions of supply chain integration, information integration, operational integration and relational integration, and three dimensions of big data analytics capability, technical skills, managerial skills and data driven‐decision culture, and conduct fuzzy‐set qualitative comparative analysis (fsQCA) to explore antecedent configurations generating high proactive and reactive SCR. We find that multiple antecedent configurations can achieve high SCR and configurations for high proactive and reactive SCR are not identical, which may involve alternative effects across different antecedents. We further implement propensity score matching analysis and reveal that firms following these configurations for high SCR also have better economic and operational performance. Moreover, we check the robustness of findings by using secondary data and attributes analysis with machine learning. This article complements and extends existing SCR literature from the configurational perspective and provides practical insights for managers to build SCR.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Antecedent configurations toward supply chain resilience: The joint impact of supply chain integration and big data analytics capability

Jiang,

Feng,

Huang

2023

J of Ops Management

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“…Indeed, since the early 2000s, the research interest in SCRES has increased due to major disruptions (Hohenstein et al ., 2015) caused by the 9/11 attacks, Hurricane Katrina, the eruption of the Eyjafjallajökull volcano, the Tōhoku earthquake and subsequent tsunami. More recently, the COVID-19 pandemic, the Ukraine–Russia war or the climate crisis in general are attracting an increasing number of studies in the SCRES domain (Ghadge et al ., 2020; Li et al ., 2023a; Srai et al ., 2023). Research on the pandemic alone accounts for an increase in SCRES studies by approx.…”

Section: The Status Quomentioning

confidence: 99%

Brilliance in resilience: operations and supply chain management’s role in achieving a sustainable future

Holgado,

Blome,

Schleper

et al. 2024

IJOPM

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PurposeThe purpose of this article is to discuss how the mastery of resilience in operations and supply chains plays a significant role in the transition to a more sustainable future. Furthermore, it is supposed to propose avenues for future research on operational and supply chain resilience, interacting with the sustainability literature in our field.Design/methodology/approachA conceptual review of resilience and sustainability themes within operations and supply chain management research is conducted. Reflections on the topic are informed by relevant literature published over the last decade.FindingsThe major conceptual contributions are threefold: (1) This article elaborates on the understanding of operational resilience and supply chain resilience concepts and reviews their respective primary research streams. (2) It proposes resilience as the missing element in the pursuit of excellence in organizations that want to contribute to a more sustainable future. (3) The article offers a research framework that provides a future research agenda at the intersection of resilience and sustainability in operations and supply chain management research.Originality/valueThe article highlights gaps in current research and illustrates further areas of research that need to be addressed to maximize the contribution of operations and supply chain management research in supporting practitioners to achieve a more sustainable future.

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“…In particular, we investigate a focal firm's embedding feature in its extended supply chain network in terms of supplier concentration and customer concentration. Supplier (or customer) concentration refers to the extent to which a firm's purchasing (or sales) comes from a few major suppliers (or customers) (Schwieterman et al, 2018;Li et al, 2023a). Our research question is thus: What is the relationship between a focal firm's relational embeddedness and supply chain transparency?…”

Section: Ijopm 449mentioning

confidence: 99%

The effect of relational embeddedness on transparency in supply chain networks: the moderating role of digitalization

Feng,

Zheng,

Shen

2024

IJOPM

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PurposeAn emerging body of literature has pinpointed the role of supply chain structure in influencing the extent to which supply chain members disclose information about their internal practices and performance. Nevertheless, empirical research investigating the effects of firm-level relational embeddedness on network-level transparency still lags. Drawing on social network analysis, this research examines the effect of relational embeddedness on supply chain transparency and the contingent role of digitalization in the context of environmental, social and governance (ESG) information disclosure.Design/methodology/approachIn their empirical analysis, the authors collected secondary data from the Bloomberg database about 2,229 firms and 14,007 ties organized in 107 extended supply chains. The authors employed supplier and customer concentration metrics to measure relational embeddedness and performed multiple econometric models to test the hypothesis.FindingsThe authors found a positive effect of supplier concentration on supply chain transparency, but the effect of customer concentration was not significant. Additionally, the digitalization of focal firms reinforced the impact of supplier concentration on supply chain transparency.Originality/valueThe study findings contribute by underscoring the critical effect of relational embeddedness on supply chain transparency, extending prior literature on social network analysis, providing compelling evidence for the intersection of digitalization and supply chain management, and drawing important implications for practices.

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Building responsive and resilient supply chains: Lessons from the COVID‐19 disruption

Cited by 11 publications

References 38 publications

Antecedent configurations toward supply chain resilience: The joint impact of supply chain integration and big data analytics capability

Antecedent configurations toward supply chain resilience: The joint impact of supply chain integration and big data analytics capability

Brilliance in resilience: operations and supply chain management’s role in achieving a sustainable future

The effect of relational embeddedness on transparency in supply chain networks: the moderating role of digitalization

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