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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.

Critical infrastructures (CIs) for essential services such as water supply and electricity delivery are notoriously vulnerable to disruptions. While extant literature offers important insights into the resilience of CIs following large-scale disasters, our understanding of CI resilience to the more typical disruptions that affect CIs on a day-to-day basis remains limited. The present study investigates how the interorganizational (supply) network that uses and manages the CI can mitigate the adverse consequences of day-to-day disruptions.

Longitudinal archival data on 277 day-to-day disruptions within the Dutch national railway CI were collected and analyzed using generalized estimating equations.

The empirical results largely support the study’s predictions that day-to-day disruptions have greater adverse effects if they co-occur or are relatively unprecedented. The findings further show that the involved interorganizational network can enhance CI resilience to these disruptions, in particular, by increasing the overall level of cross-boundary information exchange between organizations inside the network.

This study helps managers to make well-informed choices regarding the target and intensity of their cross-boundary information-exchange efforts when dealing with day-to-day disruptions affecting their CI. The findings illustrate the importance of targeting cross-boundary information exchange at the complete interorganizational network responsible for the CI and to increase the intensity of such efforts when CI disruptions co-occur and/or are unprecedented.

This study contributes to our academic understanding of how network-level processes (i.e. cross-boundary information exchange) can be managed to ensure interorganizational (supply) networks’ resilience to day-to-day disruptions in a CI context. Subsequent research may draw from the conceptual framework advanced in the present study for examining additional supply network-level processes that can influence the effectiveness of entire supply networks. As such, the present research may assist scholars to move beyond a simple dyadic context and toward examining complete supply networks

The purpose of this paper is to develop a conceptual framework for the analysis of supply network disruptions and present a number of propositions to define a future research agenda. In doing so, it draws on a review of the literature regarding supply chain disruptions; relationship formation and evolution; and network formation and evolution.

The literature review combined traditional contextual analysis with citation analysis and co‐citation, assuming a multi‐level, multi‐theoretical perspective.

The findings highlight a paucity of empirical research regarding supply chain disruptions assuming a network perspective, highlighting the dynamic nature of networks and emphasising the difference between supply chain disturbance and disruption.

The paper stops short of testing specific hypotheses, providing a conceptual framework and a series of propositions from which testable hypotheses can be developed. The necessity of assuming a dynamic, multi‐level, multi‐theoretical perspective highlights the difficulties of empirical research in this area. However, the significance of understanding the network context of disruption and its connection to the securing of appropriate responses and ultimately reasonable mitigation is unavoidable.

The ability to understand the implications of network structure and network relational dynamics in the context of disruption will enable managers to respond appropriately to disruptive supply chain events. This capability will assume increasing importance in the vulnerable and sensitive global economy.

The paper's specific consideration of disruption (as opposed to disturbance), and the necessitated speed of response leads to the development of several disruption‐specific propositions and the development of a new research agenda.

This conceptual paper aims to shed light on the nature and determinants of managerial behaviour when affected by supply chain disruptions. It aims to argue that the managerial decision‐making process is an important component in determining the eventual long‐term impact of a supply chain disruption.

The paper introduces a continuous simulation model that is based on a Bayesian robot decision‐maker. Using the system dynamics approach, it illustrates the process of evaluating competing hypotheses of functional vs dysfunctional supply chain design in a disruption scenario. Model validity is assessed by means of a case study based on secondary data.

The model provides insight into the drivers of decision‐maker confidence dynamics that are used when evaluating the competing hypotheses. Furthermore, it identifies the psychological distortions that make actual managerial inference processes different from the Bayesian robot and incorporate these adjustments into the system dynamics model. Several propositions about the nature and determinants of decision‐maker confidence are stated.

For policy makers, the paper clarifies the important moderating role of confidence in the realisation of wider implications of supply chain disruptions, especially from the perspective of industrial development, and trade and transport facilitation.

The research enhances understanding of the wider implications of supply chain disruptions, contributing to behavioural research in logistics and supply chain management.

Experiencing more frequent, system-wide disruptions, such as pandemics and geopolitical conflicts, supply chains can be largely destabilized by a lack of materials, services or components. Supply chain resilience (SCRES) constitutes the network ability to recover after and survive during such unexpected events. To enhance the understanding of SCRES as a system-wide quality, this study tests a comprehensive SCRES model with data from multiple industries.

The study proposes a theoretical framework conceptualizing SCRES as system quality, extending the classical proactive/reactive taxonomy by multiple system states consisting of the supply system properties, behaviors and responses to disruptions. Underlying hypotheses were tested using an online survey. The sample consists of 219 responses from German industries. Maximum likelihood structural equation modeling (ML-SEM) and moderation analysis were used for analyzing the survey data. The study was particularly designed to elaborate on supply chain theory.

Two pathways of parallel SCRES building were identified: proactive preparedness via anticipation and reactive responsiveness via agility. Both system responses are primarily built simultaneously rather than successively. The present study further provides empirical evidence on the central role of visibility and velocity in achieving comprehensive SCRES, while flexibility only exerts short-term support after a disruption. The study additionally points to potential “spillover effects” such as the vital role of proactive SCRES in achieving reactive responsiveness.

The present study confirms and expands existing theories on SCRES. While stressing the multidimensionality of SCRES, it theorizes the (inter-)temporal evolution of a system and offers practical guidelines for SCRES building in various industrial contexts. It thus supports the transformation toward more resilient and viable supply chains, contributing to the increasing efforts of middle-range theory building to achieve an overarching theory. The study also points to potential future research avenues.

Purpose: This study examines how parental divorce impacts the social support network dynamics of adult children. Research has explored long-term consequences of divorce and the impact of biographical disruption on network dynamics. Despite the long-term impact of parental divorce on social networks, these literatures have not been integrated.

Design/methodology/approach: Using survey data from 21- to 30 and 50- to 70-year-old adults in the San Francisco Bay area through the University of California Social Networks Study, or UCNets, the author explores hypotheses related to biographical disruption and characteristics of social support networks.

Findings: The impact of parental divorce is varied. Parental divorce is unrelated to total number of network ties but is significantly related to number of confidant network ties and marginally related to practical help network ties. Parental divorce is associated with higher overlap across network dimensions, or multiplexity, but this association is stronger for younger compared to older adults.

Research limitations/implications: This study is limited to compositional network dynamics. Future research should explore the impact of parental divorce on clusters of social support and their relationship to network multiplexity in addition to constrained versus preferential multiplexity. These findings are limited to perception of social support in networks, as questions vary by recall period and behavior.

Originality/value: This chapter extends research on long-term consequences of parental divorce and extends biographical disruption models in social networks to processes in family structure, highlighting how age effects shape how parental divorce impacts support strategies, perceptions, and experience at the network level in early compared to later adulthood.

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 purpose is to replicate and extend Ambulkar et al.’s (2015) work testing resource reconfiguration as a mediator of the supply chain disruption/firm resilience relationship and testing risk management infrastructure as a moderator. This study extends the work of Ambulkar in that it uses analysis of survey data gathered from manufacturing firms during an actual disruption event (COVID-19). The previous work is also in extended in that the authors include a pandemic disruption impact variable and supply chain performance is an expanded model.

Partial least squares structural equation modeling techniques were used to analyze data gathered from 184 US manufacturing managers during the height (Summer 2021) of the COVID-19 pandemic.

Two of four of Ambulkars et al.’s (2015) hypotheses were confirmed as relevant to firm resilience during the pandemic while two were not confirmed. Results also show that supply chain disruption orientation, risk management infrastructure and resource reconfiguration combine to improve firm resilience, which in turn improves supply chain performance while mitigating the disruption impact of COVID-19.

Previous work is replicated and extended, using data from an actual disruption event (COVID-19). This study presents a more comprehensive model using a newly developed and validated scale to measure pandemic impact and including supply chain performance.

While the concept of supply chain resilience has received lots of scholarly and policy interest over the past few years, empirical research examining its sources and outcomes remains inadequate, particularly, in the context of small and medium enterprises (SMEs). Grounded in the resource-based view and social capital frameworks, the study examines the relationship between social network relationship, supply chain resilience and customer oriented performance.

The study develops and empirically tests a research model that proposes social network relationships and customer-oriented performance as the antecedent and outcome respectively of supply chain resilience. Data was obtained from a survey of 110 SMEs in Ghana.

The findings of the study suggest that a firm's external and internal social networks can be leveraged to enhance its supply chain resilience and customer-oriented performance. Supply chain resilience was also found to enhance customer-oriented performance. Additionally, supply chain resilience was found to significantly mediate the effect of social network relationships on customer-oriented performance.

This is the first study that empirically explores and establishes the relationship between social network relationships, supply chain resilience and customer-oriented performance to the best of the authors’ knowledge.

In the context of the COVID-19 pandemic, this study investigates a variety of approaches to supply disruption risk management for achieving effective responses for resilience at the supply management subunit level (e.g. category of items). Drawing on the attention-based view of the firm, the authors model the attentional antecedents of supply resilience as (1) attentional perspectives and (2) attentional selection. Attentional perspectives focus on either supply risk sources or supply network recoverability, and both are hypothesised to have a direct positive association with supply resilience. Attentional selection is top down or bottom up when it comes to disruption detection, and these are hypothesised to moderate the association between disruption risk management perspectives and resilience.

Conducted at the early phases of the COVID-19 pandemic, this study employs a hierarchical regression analysis on a multicountry survey of 190 procurement professionals, each responding from the perspective of their own subunit area of supply responsibility.

Both attentional disruption risk management perspectives are needed to achieve supply resilience, and neither is superior in terms of achieving supply resilience. Both the efficiency of the top down and exposure to the unexpected with the bottom up are needed – to a balanced degree – for improved supply resilience.

The results encourage firms to purposefully develop their supply risk management practices, first, to include both perspectives and, second, to avoid biases in attentional selection for disruption detection. Ensuring a more balanced approach may allow firms to improve their supply resilience.

The results contribute to the understanding of the microfoundations that underpin firms' operational capabilities for supply risk and disruption management and possible attentional biases.