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The coronavirus disease (COVID-19) pandemic has emerged as an unprecedented health crisis worldwide and heavily disrupted the healthcare supply chain. This study focuses on analysing the different types of disruptions occurring in personal protective equipment (PPE) supply chains during the COVID-19 pandemic and on proposing mitigation strategies that are fit to the global scale and many interdependencies that are characteristic for this pandemic. The authors construct a conceptual system dynamics model (SD) based on the literature and adjusted with the use of empirical data (interviews) to capture the complexity of a global supply chain and identify leverage points (mitigation strategies).

This research follows a mix-methods approach. First, the authors developed a conceptual framework based on four types of disruptions that usually occur during health emergencies (direct effect, policy, supply chain strategy, and behaviourally induced disruptions). Second, the authors collected and analysed data from interviews with experts in the PPE supply chain. Based on the interviews data, the authors developed a conceptual system dynamics (SD) model that allows to capture the complex and dynamic interplay between the elements of the global supply chain system, by highlighting key feedback loops, delays, and the way the mitigation strategies can impact on them. From this analysis, the authors developed four propositions for supply chain risk management (SCRM) in global health emergencies and four recommendations for the policy and decision makers.

The SD model highlights that without a combination of mitigation measures, it is impossible to overcome all disruptions. As such, a co-ordinated effort across the different countries and sectors that experience the disruptions is needed. The SD model also shows that there are important feedback loops, by which initial disruptions create delays and shortages that propagate through the supply chain network. If the co-ordinated mitigation measures are not implemented early at the onset of the pandemic, these disruptions will be persistent, creating potential shortages of PPE and other critical equipment at the onset of a pandemic – when they are most urgently needed.

This research enriches the understanding of the disruptions of PPE supply chains on the systems level and proposes mitigation strategies based on empirical data and the existing literature.

The purpose of this paper is to present a conceptual framework on resilience types in supply chain networks.

Using a complex adaptive systems perspective as an organizing framework, the paper explores three forms of resilience: engineering, ecological and evolutionary and their antecedents and links these to four phases of supply chain resilience (SCRES): readiness, response, recovery, growth and renewal.

Resilient supply chains need all three forms of resilience. Efficiency and system optimization approaches may promote quick recovery after a disruption. However, system-level response requires adaptive capabilities and transformational behaviors may be needed to move supply chains to new fitness levels after a disruption. The three resilience types discussed are not mutually exclusive, but rather complement each other and there are synergies and tradeoffs among these resilience types.

The empirical validation of the theoretical propositions will open up new vistas for supply chain research. Possibilities exist for analyzing and assessing SCRES in multiple and more comprehensive ways.

The findings of the research can help managers refine their approaches to managing supply chain networks. A more balanced approach to supply chain management can reduce the risks and vulnerabilities associated with supply chain disruptions.

This study is unique as it conceptualizes SCRES in multiple ways, thereby extending our understanding of supply chain stability.

The purpose of this paper is to investigate the nexus of relationships linking firm innovativeness, innovation magnitude, disruption severity, and supply chain resilience. These relationships are examined within a supply chain disruptions context.

This study employed between subjects scenario-based experimental methodology combined with a survey method. Participants in the study were senior level logistics/supply chain and operations managers in US and European manufacturing companies. The hypotheses were tested via linear regression models.

Findings suggest that both firm innovativeness and innovation magnitude are positively associated with supply chain resilience. In addition, it was found that disruption severity is positively associated with innovation magnitude.

Based on the findings, the authors expect that firm innovativeness as a dynamic capability should have a positive impact on achieving supply chain resilience. The more severe the disruption faced, the higher the magnitude of innovation adopted by firms. Therefore, firm innovativeness and innovation magnitude work in tandem to positively influence supply chain resilience.

This paper contributes to the supply chain risk management literature by enhancing the understanding of both positive outcomes of firm innovativeness and drivers of supply chain resilience. It responds to the question, “What enables firms to respond effectively to supply chain disruptions?” from an innovation perspective that has been ignored in the previous literature.

To study how supply chain decision makers gather, process and use the available internal and external information when facing supply chain disruptions.

The paper reviews relevant supply chain literature to build an information management model for disruption management. Afterwards, three case studies in the vehicle assembly sector, namely cars, trucks and aircraft wings, bring the empirical insights to the information management model.

This research characterises the phases of disruption management and identifies the information companies use to recover from a variety of disruptive events. It presents an information management model to enhance supply chain visibility and support disruption management at the operational level. Moreover, it arrives at two design propositions to help companies in the redesign of their disruption discovery and recovery processes.

This research studies how companies manage operational disruptions. The proposed information management model allows to provide visibility to support the disruption management process. Also, based on the analysis of the disruptions occurring at the operational level we propose a conceptual model to support decision makers in the recovery from daily disruptive events.

This study assesses disruption risk management and resilience capabilities from the perspective of top-level operations and supply chain managers when faced with COVID-19 disruptions.

The study involves qualitative research via a triple-phase, interview-based method, following an interpretivist philosophy embodying an empathetic, subjective view to interpret the perspective of top-level managers. The data has been coded and analysed thematically.

Based on the ability to adapt to changing and uncertain environments using quick decision-making, technology and access to resources, the findings show a level of resilience adequate to withstand risk disruptions. The data do not expose differences between disruption management and traditional risk management but do display potential for businesses to adopt a disruption-oriented supply network that is flexible.

Currently, there are little data concerning COVID-19 disruption risk, and the propagation of these impacts throughout the supply chain. This study is limited to the perspective of top, senior-level managers in supply chain and operations.

The research signifies that by adopting a disruption-oriented, flexible network, business may have the means to overcome and surpass impacts from disruption risks. The study offers knowledge on supply chain resilience and flexibility in times of crisis. Managers and practitioners might adopt the evidence to support in developing strategies towards building resilient supply chains.

The findings and conclusions of this paper are the product of the authors’ own work, and the research has been supported appropriately through academic contributions in the study area. All sources have been acknowledged.

The purpose of this paper is to investigate the potential synergy between companies’ sustainable supply chain management (SSCM) activities and their supply chain resilience (SCRES). The authors propose hypotheses about the impact of buying companies SSCM activities on the inflicted damage by unexpected supply chain disruptions and the recovery time afterwards and test these empirically using data from companies during the global COVID-19 pandemic.

The authors investigate a sample of 231 of the largest publicly traded companies in the European Union with 4.158 firm-year observations. For the analysis, the authors generate variables capturing the companies’ intensity and years of experience of their SSCM activities targeted at the supply chain and run regression analyses on the inflicted damage due to the COVID-19 pandemic and the recovery time after the disruption.

Buying companies’ SSCM activities have a positive effect on their SCRES. The damage inflicted by unexpected supply chain disruptions is lower when companies have higher levels of SSCM and longer experience with it. The recovery time afterwards is significantly reduced by longer experience with SSCM efforts.

The authors suggest SCRES is reinforced by transparency, situational awareness, social capital and collaboration resulting from companies SSCM activities translate into increased SCRES.

The authors show that companies with superior SSCM are more resilient in a crisis and conclude that, therefore, companies should invest in SSCM to prevent future supply disruptions.

To the best of the authors’ knowledge, this is the first empirical study analyzing a data set of multi-industry companies, linking their SSCM activities to SCRES during the pandemic.

The Covid-19 pandemic exposed the fragility of global supply chains. Attempts to deepen our understanding of the effects of the pandemic on global supply chains mostly offer anecdotal evidences and lack theory grounded research. The purpose of this paper is to develop a conceptual framework to help explain supply chain disruption management.

This is a conceptual paper and uses a theory building approach. It develops a conceptual framework adapted from coping theory in psychology to explain supply chain disruption management. To refine the framework, the authors independently reviewed extant supply chain disruption management literature. The authors then studied the frameworks on stress theory in psychology. Following the review of both streams of literatures, the authors developed an initial draft of the conceptual model. This draft was then iteratively refined through extensive discussions among the authors.

Coping theory can help revise supply chain disruption management with an alternative lens that has not been applied before in this domain. The proposed conceptual framework is generic and can be applied to disruption management strategies for any organization in any industry.

The conceptual framework proposed in this paper offers a new theoretical lens to supply chain disruption management discourse. It contributes to the operational understanding of supply chain disruption management.

The relationship between just-in-time (JIT) and supply chain disruption risk is unclear from the existing literature. This paper aims to investigate the impact of supplier JIT and customer JIT on supplier disruption risk (SDR), internal disruption risk (IDR), and customer disruption risk (CDR) and explore the moderating role of supply chain centralization.

Based on survey data collected from 213 manufacturing firms in China, this study employs structural equation modeling with SmartPLS 3.0 to test the main proposed model and applies an ordinary least square regression to test the moderating effect.

The results demonstrate that supplier JIT is positively related to SDR and negatively associated with IDR. Customer JIT is positively associated with CDR but has no significant effect on IDR. The results also show that SDR and CDR lead to IDR and mediate the relationship between supplier JIT, customer JIT, and IDR. In addition, supply chain centralization amplifies the positive impacts of supply chain JIT on SDR and IDR.

This study makes two main contributions. First, the study provides a comprehensive analysis of the relationship between supply chain JIT and disruption risk. Second, the study addresses that implementing JIT in a supply chain with a centralized decision-making structure leads to a higher level of disruption risk.

Severe disruptions to maritime supply chains, including port closures, congestion and shortages in shipping capacity, have occurred during the COVID-19 pandemic. This paper’s purpose is to explore flexibility-based countermeasures that enable actors in maritime supply chains to mitigate the effects of disruptions with different characteristics.

Semi-structured interviews were conducted with shipping lines, shippers, forwarders and ports. Data on the COVID-19 pandemic's effects and countermeasures were collected and compared with data regarding the 2016–2017 Gothenburg port conflict.

Spatial, capacity, service and temporal flexibility emerged as the primary countermeasures, whilst important characteristics of disruptions were geographical spread, duration, uncertainty, criticality, the element of surprise and intensity. Spatial flexibility was exercised in both disruptions by switching to alternative ports. During the COVID-19 pandemic, ensuring capacity flexibility included first removing and then adding vessels. Shipping lines exercising service flexibility prioritised certain cargo, which made the spot market uncertain and reduced flexibility for forwarders, importers and exporters that changed carriers or traffic modes. Experience with disruptions meant less surprise and better preparation for spatial flexibility.

Understanding how actors in maritime supply chains exercise flexibility-based countermeasures amid disruptions with different characteristics can support preparedness for coming disruptions.

Comparing flexibility-based measures in a pandemic versus port conflict provides insights into the important characteristics of disruptions and the relevance of mitigation strategies. The resilience of maritime supply chains, although underexamined compared with manufacturing supply chains, is essential for maintaining global supply chain flows.

Supply chain is an important aspect for all the companies and can affect many aspects of companies. Especially the disruption in supply chain is causing huge impacts and consequences that are difficult to deal with. This chapter presents a review of selected multiple criteria problems used in supply chain optimization. Research analyzed the multiple criteria decision-making methods to tackle the problem of supplier evaluation and selection. It also focuses on the problem of supply chain when a disruption happens and presents strategies to deal with the issue of disruptions in supply chain and how to mitigate the impact of disruptions. Prevention, response, protection, and recovery strategies are explained. Practical part is focused in the risk-averse models to minimize expected worst-case scenario by single sourcing. Computational experiments for practical examples have been solved using CPLEX solver.