Research on the influencing factors of supply chain resilience: Based on SEM and fsQCA

被引：0
作者：
Ma X. [1 ]
Huang M. [1 ]
Yang M. [2 ,3 ]
机构：
[1] International Business School, Beijing Foreign Studies University, Beijing
[2] School of Economics and Management, University of Chinese Academy of Sciences, Beijing
[3] MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation, University of Chinese Academy of Sciences, Beijing
来源：
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | 2023年 / 43卷 / 09期
关键词：
fuzzy set qualitative comparative analysis (fsQCA); structural equation model (SEM); supply chain resilience;
D O I：
10.12011/SETP2022-2922
中图分类号：
学科分类号：
摘要：
In recent years, with the significant increase of various security risk events, the supply chain of a large number of enterprises has been impacted or even interrupted. Supply chain resilience has become the common focus of academy, industry and government. From the perspective of single and multiple configurations, this paper constructs research models for the influencing factors of supply chain resilience. Based on 622 valid samples of enterprises, this study applies structural equation model (SEM) and fuzzy set qualitative comparative analysis (fsQCA) for empirical analysis. The research shows that: 1) Flexibility, agility, reconfiguration, visibility and supply chain cooperation can have positive impacts on supply chain resilience. 2) High flexibility, high agility, high reconfiguration, high visibility and strong cooperative relationship cannot be the necessary conditions for high supply chain resilience alone. 3) There are three driving configurations for high supply chain resilience, namely, high agility configuration consisting of agility ∗ reconfiguration ∗ supply chain cooperation, high visibility configuration consisting of ~flexibility ∗ reconfiguration ∗ visibility ∗ supply chain cooperation, and agile visual dual configuration consisting of ~flexibility ∗ agility ∗ visibility ∗ supply chain cooperation and flexibility ∗ agility ∗ visibility ∗ reconfiguration. The high supply chain resilience is the synergy of multiple factors, and the effective combination of various factors promotes the supply chain resilience in the way of “different paths lead to the same goal”. This research systematically discusses the influencing factors of supply chain resilience, which can provide theoretical guidance and managerial insight for enterprises to improve supply chain resilience. © 2023 Systems Engineering Society of China. All rights reserved.
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页码：2484 / 2501
页数：17
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共 76 条
  • [1] Yao Y, Fabbe-Costes N., Can you measure resilience if you are unable to define it? The analysis of supply network resilience (SNRES)[J], Supply Chain Forum: An International Journal, 9, pp. 255-265, (2018)
  • [2] Zhang M, Du Y Z., Qualitative comparative analysis (QCA) in management and organization research: Position, tactics, and directions[J], Journal of Management, 16, 9, pp. 1312-1323, (2019)
  • [3] Guo Q, Pu Y, Li Y L., Review of research on managing disruption risks in supply chains[J], China Business and Market, 25, 3, pp. 48-53, (2011)
  • [4] Ma S H., How to prevent supply chain risks, China Economy & Informatization, 3, (2003)
  • [5] Pettit T J, Croxton K L, Fiksel J., The evolution of resilience in supply chain management: A retrospective on ensuring supply chain resilience[J], Journal of Business Logistics, 40, 1, pp. 56-65, (2019)
  • [6] Nooraie S V, Parast M M., Mitigating supply chain disruptions through the assessment of trade-offs among risks, costs and investments incapabilities[J], International Journal of Production Economics, 171, 1, pp. 8-21, (2016)
  • [7] Liu J Y., Supply chain disruption: Causes, consequences and countermeasures: Literature review from the perspective of supply chain governance[J], Journal of Zhongnan University of Economics and Law, 2022, 4, pp. 130-144
  • [8] Niu B Z, Xu H T, Li Q Y, Et al., Procurement strategy adjustment and local substitution of imported key component considering supply disruption[J], Systems Engineering — Theory & Practice, 42, 11, pp. 2881-2890, (2022)
  • [9] Jabbarzadeh A, Haughton M, Khosrojerdi A., Closed-loop supply chain network design under disruption risks: A robust approach with real world application[J], Computers & Industrial Engineering, 116, pp. 178-191, (2018)
  • [10] Rice J B, Caniato F., Building a secure and resilience supply chain[J], Supply Chain Management Review, 5, 9, pp. 22-30, (2003)
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