专题推送：供应链韧性（Supply Chain Resilience）

全球经贸环境不确定性的加剧使得供应链韧性在现代产业体系中的战略地位日益凸显。供应链韧性作为企业应对中断风险、维持持续运营的核心能力，正成为国家产业安全战略与企业战略规划的关键维度。随着地缘政治冲突、自然灾害等突发性风险事件频发，传统基于成本效率的全球供应链布局正加速向兼顾弹性与安全的方向重构。为深入解析上述结构性矛盾并探寻有效的韧性建构路径，学界通过多中介模型、仿真模拟等实证方法，对技术融合、组织适配等关键机制进行了深入探讨。本期推送聚焦“供应链韧性”这一核心议题，选取了10篇国内外前沿研究，为理解新形势下全球供应链的演进逻辑与韧性建设路径提供了多元视角。

1.Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model

2.Supply chain and external conditions under which supply chain resilience pays: An organizational information processing theorization

3. AI technologies and their impact on supply chain resilience during COVID-19

4. Multi-dimensional supply chain flexibility and supply chain resilience: The role of supply chain risks exposure

5. Revealing interfaces of supply chain resilience and sustainability: a simulation study

6. Value of supply chain resilience: roles of culture, flexibility, and integration

7.Supply chain resilience and performance of manufacturing firms: role of supply chain disruption

8. Structural-aware simulation analysis of supply chain resilience

9. Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review

10. Unveiling the impact of the congruence between artificial intelligence and explorative learning on supply chain resilience

International Journal of Production Economics (2023)

Zhao N (Shanghai University of International Business and Economics)

Hong J (Shanghai University of International Business and Economics)

Lau K H (RMIT University)

The outbreak of COVID-19 has accelerated the building of resilient supply chains, and supply chain digitalization is gradually being recognized as an enabling means to this end. Nevertheless, scholars generally agree that more empirical studies will need to be conducted on how digitalization can facilitate supply chain resilience at various stages and enhance supply chain performance in a highly uncertain environment. To echo the call, this study develops a theoretical influence mechanism of “supply chain digitalization → supply chain resilience → supply chain performance” based on dynamic capability theory. The proposed relationships are validated using survey data collected from 210 Chinese manufacturing companies. The results help identify the paths digitalization and supply chain resilience can take to improve supply chain performance in a turbulent environment. The different roles of three supply chain resilience capabilities, namely absorptive capability (before the disruption), response capability (during the disruption), and recovery capability (after the disruption), which impact on supply chain performance differently, are highlighted. In addition, it is found that digitalization can bring a differential impact on these three supply chain resilience capabilities through different aspects of resource and structural adjustment measures. The findings also confirm the mediating role of absorptive capability, response capability, and recovery capability between digitalization and supply chain performance. During crisis, supply chain digitalization can increase cost-effectiveness, enhance information and communication efficiency, and promote supply chain resilience to achieve better performance. For theoretical contribution, this study enriches the research on supply chain digitalization and resilience by underpinning the relationships between the two with dynamic capability theory. For practical contribution, the research findings provide insights for enterprises to leverage digitalization to strengthen resilience in supply chain.

原文链接：https://doi.org/10.1016/j.ijpe.2023.108817

International Journal of Production Economics (2020)

Wong C W Y ( The Hong Kong Polytechnic University)

Lirn T C (National Taiwan Ocean University)

Yang C C (National Kaohsiung University of Science and Technology)

et al.

While firms are increasingly exposed to catastrophes due to global presence of their supply chains, the development of supply chain resilience becomes crucial to businesses. Thus, it is important to examine business values for supply chain resilience under different types and levels of disruptions. Drawing on the organizational information process theory, a theoretical model was developed to examine the moderating effects of the various supply chain disruptions on performance outcomes. Empirical evidence, collected from primary and secondary data sources, suggests that supply chain resilience is found to be positively associated with risk management, market, and financial performance. In particular, supply chain resilience has shown importance in contributing to the risk management and market performance when firms experience high levels of supply side, infrastructure, and catastrophic disruptions.

原文链接：https://doi.org/10.1016/j.ijpe.2019.107610

International Journal of Physical Distribution and Logistics Management (2022)

Modgil S (International Management Institute)

Gupta S (NEOMA Business School)

Stekelorum R (ICN Business School)

et al.

Purpose:COVID-19 has pushed many supply chains to re-think and strengthen their resilience and how it can help organisations survive in difficult times. Considering the availability of data and the huge number of supply chains that had their weak links exposed during COVID-19, the objective of the study is to employ artificial intelligence to develop supply chain resilience to withstand extreme disruptions such as COVID-19.

Design:We adopted a qualitative approach for interviewing respondents using a semi-structured interview schedule through the lens of organisational information processing theory. A total of 31 respondents from the supply chain and information systems field shared their views on employing artificial intelligence (AI) for supply chain resilience during COVID-19. We used a process of open, axial and selective coding to extract interrelated themes and proposals that resulted in the establishment of our framework.

Findings:An AI-facilitated supply chain helps systematically develop resilience in its structure and network. Resilient supply chains in dynamic settings and during extreme disruption scenarios are capable of recognising (sensing risks, degree of localisation, failure modes and data trends), analysing (what-if scenarios, realistic customer demand, stress test simulation and constraints), reconfiguring (automation, re-alignment of a network, tracking effort, physical security threats and control) and activating (establishing operating rules, contingency management, managing demand volatility and mitigating supply chain shock) operations quickly.

Research limitations:As the present research was conducted through semi-structured qualitative interviews to understand the role of AI in supply chain resilience during COVID-19, the respondents may have an inclination towards a specific role of AI due to their limited exposure.

Practical implications:Supply chain managers can utilise data to embed the required degree of resilience in their supply chains by considering the proposed framework elements and phases.

Originality:The present research contributes a framework that presents a four-phased, structured and systematic platform considering the required information processing capabilities to recognise, analyse, reconfigure and activate phases to ensure supply chain resilience.

原文链接：https://doi.org/10.1108/IJPDLM-12-2020-0434

Operations Management Research (2022)

Piprani A Z (Federal Urdu University of Arts)

Jaafar N I (University of Malaya)

Ali S M (University of Malaya)

et al.

Natural disasters and unexpected disruptive events have forced practitioners and researchers to build resilience capability into their systems to survive and grow in tempestuous and turbulent times. This study empirically examined the effect of multi-dimensional supply chain flexibility (MDSCF) in improving supply chain resilience (SCRES) under a high supply chain (SC) risk environment. The study incorporated a survey technique and utilized valid responses from 191 large-scale manufacturing (LSM) firms of Pakistan. PLS-SEM is employed to analyze the hypothesized relationships. The findings indicated that MDSCF significantly contributes to improving SCRES. Moreover, the study shows strong significant moderating effects of the customer-oriented and external risks and the weak moderating effect of supplier-oriented risks towards augmenting SCRES. The study contributes to the SC (SC) risk management literature by providing empirical support for the need for multi-dimensional SC flexibility measures in bolstering SCRES under the high SC risk environment.

原文链接：https://doi.org/10.1007/s12063-021-00232-w

International Journal of Production Research (2018)

Ivanov D (Berlin School of Economics and Law)

Dynamics of structures and processes is one of the underlying challenges in supply chain management, where multiple dimensions of economic efficiency, risk management, and sustainability are interconnected. One of the substantiated issues in supply chain dynamics is resilience. Resilience has a number of intersections with supply chain sustainability. This paper aims at analysing disruption propagation in the supply chain with consideration of sustainability factors in order to design resilient supply chain structure in regard to ripple effect mitigation and sustainability increase. Ripple effect in the supply chain occurs if a disruption at a supplier cannot be localized and cascades downstream impacting supply chain performance. This simulation-based study helps to identify what sustainability factors mitigate the ripple effect in the supply chain and what sustainability factors enhance this effect. The results indicate that (i) sustainable single sourcing enhances the ripple effect; (ii) facility fortification at major employers in regions mitigates the ripple effect and enhances sustainability; and (iii) a reduction in storage facilities in the supply chain downstream of a disruption-risky facility increases sustainability but causes the ripple effect. 

原文链接：http://dx.doi.org/10.1080/00207543.2017.1343507

International Journal of Physical Distribution and Logistics Management (2020)

Chunsheng L (Macau University of Science and Technology)

Wong C W Y (Hong Kong Polytechnic University)

Yang C C (National Kaohsiung University of Science and Technology)

et al.

Purpose:Building supply chain (SC) resilience is crucial for business continuity given the ever-changing environmental conditions. Based on the resource orchestration and organizational culture theories, the purpose of this paper is to investigate the business value of SC resilience with the consideration of the roles of internal integration (II) and external integration (EI), risk management culture (RMC) and SC flexibility (SCF).

Design:This study investigates how RMC, SCF and intra and interorganizational integration affect the performance of SC resilience. It collects primary and secondary data from 194 manufacturing firms listed in the Taiwan Stock Exchange and Taipei Exchange.

Findings:Results validate the authors’ hypothesis that RMC, SCF and II improve the financial performance of firms through SC resilience efforts.

Research limitations:This study uses firms from Taiwan manufacturing industry, which might introduce country and industry bias.

Practical implications:This study helps managers improve the financial performance of their SC resilience efforts by developing RMC, SCF, II and IE across functions and partner firms.

Originality:This study contributes to the literature by empirically testing the relationship between SC resilience and financial performance, and how the relationship is moderated by RMC, SCF, II and EI based on the theories of organizational culture and resource orchestration.

原文链接：https://doi.org/10.1108/IJPDLM-02-2019-0041

Journal of manufacturing technology management (2023)

Hamidu Z (University of Cape Coast)

Boachie-Mensah F O (University of Cape Coast)

Issau K (University of Cape Coast)

Purpose:The current study sought to investigate the moderating effect of supply chain disruptions (SCD) (supply chain – supply disruption, catastrophic disruption and infrastructure disruption) on the relationship between supply chain resilience (SCR) and supply chain performance (SCP) of manufacturing firms in Ghana.

Design:The quantitative research approach and explanatory research designs were utilised. A sample of 345 manufacturing firms were drawn from a population of 2,495 manufacturing firms in the Accra metropolis. The Partial Least Squares Structural Equation Modelling (PLS-SEM) was employed to accomplish the research objectives.

Findings:First, the study revealed that SCR has a significant positive effect on SCP. Second, the authors found reasonable evidence to support that SCD have a significant positive moderating effect on the relationship between SCR and SCP, except for supply chain catastrophic disruption which had a negative impact. It can be concluded that the components of SCD have heterogeneous impact in the SCR and SCP nexus.

Research limitations:The study is limited to manufacturing firms in Ghana and does not make a distinction among resilience strategies.

Practical implications:Increased SCR boost manufacturing companies' supply chains' performance and aid to lessen the adverse effects of SCD relating to infrastructure and supply. It implies that supply chain managers are able to reduce the effects of infrastructure and supply disruptions. Also, techniques that reduce the adverse impact of SCD relating to catastrophe would be beneficial for supply chain managers in Ghana and other countries with comparable economic environments.

Originality:The study provides a unique contribution on the moderating role of the dimensions of SCD (supply, infrastructure and catastrophic) on the nexus between SCR and SCP in a developing economy context in a dynamic changing environment. Policymakers would get better insights into instituting the required policies needed to revamp firms with weak supply chains as a result of supply chain disruption.

原文链接：https://doi.org/10.1108/JMTM-08-2022-0307

International Journal of Production Research (2020)

Tan W J ( Nanyang Technological University)

Cai W ( Nanyang Technological University)

Zhang A N (Singapore Institute of Manufacturing Technology)

Supply chain resilience (SCRES) refers to the ability of a supply chain (SC) to both resist disruptions and recover its operational capability after disruptions. This paper presents a simulation model that includes network structural properties in the analysis of SCRES. This simulation model extends an existing graph model to consider operational behaviours in order to capture disruption-recovery dynamics. Through structural analysis of a supply chain network (SCN), mitigation strategies are designed to build redundancy, while contingency strategies are developed to prioritise recovery of the affected SCN. SCRES indexes are proposed by sampling SC performance measures of disruption for each plant and aggregating the measures based on the criticality of the plants in the SCN. The applicability of this simulation model is demonstrated in a real-world case study of different disruption scenarios. The application of mitigation and contingency strategies is shown to both improve recovery and reduce the total costs associated with disruptions. Through such simulation-based analysis, firms can gain insight into the SCRES of their existing SCNs and identify suitable strategies to improve SCRES by considering recovery time and costs.

原文链接：https://doi.org/10.1080/00207543.2019.1705421

Annals of Operations Research (2023)

Zamani E D (The University of Sheffield)

Smyth C (NUI Galway)

Gupta S (Indian Institute of Management Ahmedabad)

et al.

Artificial Intelligence (AI) and Big Data Analytics (BDA) have the potential to significantly improve resilience of supply chains and to facilitate more effective management of supply chain resources. Despite such potential benefits and the increase in popularity of AI and BDA in the context of supply chains, research to date is dispersed into research streams that is largely based on the publication outlet. We curate and synthesise this dispersed knowledge by conducting a systematic literature review of AI and BDA research in supply chain resilience that have been published in the Chartered Association of Business School (CABS) ranked journals between 2011 and 2021. The search strategy resulted in 522 studies, of which 23 were identified as primary papers relevant to this research. The findings advance knowledge by (i) assessing the current state of AI and BDA in supply chain literature, (ii) identifying the phases of supply chain resilience (readiness, response, recovery, adaptability) that AI and BDA have been reported to improve, and (iii) synthesising the reported benefits of AI and BDA in the context of supply chain resilience.

原文链接：https://doi.org/10.1007/s10479-022-04983-y

International Journal of Operations & Production Management (2025)

Dai J (University of Nottingham Ningbo China)

Geng R (Cardiff University)

Xu D (Zhejiang Wanli University)

et al.

Purpose:Drawing upon socio-technical system theory, this study intends to investigate the effects of the congruence and incongruence between artificial intelligence (AI) and explorative learning on supply chain resilience as well as the moderating role of organizational inertia.

Design:Using survey data collected from 170 Chinese manufacturing firms, we performed polynomial regression and response surface analyses to test our hypotheses.

Findings:We find that the congruence between AI and explorative learning enhances firms’ supply chain resilience, while the incongruence between these two factors impairs their supply chain resilience. In addition, compared with low–low congruence, high–high congruence between AI and explorative learning improves supply chain resilience to a greater extent. Moreover, organizational inertia attenuates the positive influence of the congruence between AI and explorative learning on supply chain resilience, while it aggravates the negative influence of the incongruence between these two factors on supply chain resilience.

Originality:Our study expands the literature on supply chain resilience by demonstrating that the congruence between a firm’s AI (i.e. technical aspect) and explorative learning (i.e. social aspect) boosts its supply chain resilience. More importantly, our study sheds new light on the role of organizational inertia in moderating the congruent effect of AI and explorative learning, thereby extending the boundary condition for socio-technical system theory in the supply chain resilience literature.

原文链接：https://doi.org/10.1108/IJOPM-12-2023-0990