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In this paper, the authors draw from the concept of a “focused factory” to examine whether a focused strategy provides superior performance over a non-focused strategy in firms experiencing service disruptions.

The authors test their hypotheses using panel data of the US domestic airline industry from 1998 to 2019.

Overall, the study findings show that a focused strategy provides superior financial performance over a non-focused strategy in both stable environments and unpredictable environments. The authors also find that the effect of service disruptions on profitability is less pronounced for firms following a focused strategy. This shows that focused firms need to grow over time to sustain profitability. Their post hoc analysis shows that for a non-focused strategy (but not for a focused strategy), firm size moderates the effect of service disruptions on profitability. This suggests that a firm pursuing a non-focused strategy can mitigate the negative effect of service disruptions by increasing its size.

This is the first study that examines the effectiveness of the focused strategy in mitigating service disruptions. The results provide further support for the effectiveness of the focused strategy in responding to service disruptions in service organizations.

This study aims to investigate the influence of supply chain (SC) complexity on the effectiveness of resilience capabilities in mitigating SC disruptions. Hypotheses about direct and moderating influences of complexity on resilience capabilities and performance change after disruption are built and quantitatively tested.

Partial least square-based structural equation modelling with formative constructs was used as an overall approach. Secondary data on SC disruptions, related performance change and resilience practices were collected from multiple sources through a predefined procedure. The collected data were systematically encoded prior to performing statistical analysis.

SC structural complexity is found to have a significant positive relation with performance improvement after disruption, along with resilience capability; it also positively moderates the resilience–performance link.

The SC complexity factors the authors considered in this study do not include dynamic forms because of the nature of data collected. Future research may attempt to include and test whether the results of this study also hold when additional complexity parameters are taken into account.

Managers are often trying to reduce SC complexity. This study implies that some level of complexity is beneficial also for a better recovery of operational performance affected because of disruption. Resilience capabilities become more effective when leveraged on complexity in the SC.

This is the first study to empirically investigate the influence of SC complexity on the resilience–performance link.

Recent studies have argued that companies may actively implement practices to mitigate disruptions in their supply chain and reduce the extent of damage on performance. Other studies have shown that disruptions may propagate in supply chains, leading to consequences that are more negative and raising doubts on the effectiveness of mitigation strategies implemented downstream. This study investigates the influence of supply chain complexity on the two phenomena and their interplay, taking a focal company's perspective.

A systematic procedure for data collection, encoding and aggregation based on incident data mainly from secondary sources was used. Multiple regression models were run to analyse direct and moderation effects involving resilience, distance of impact location from trigger point, and supply chain complexity on weighted performance change.

Supply chain complexity is found to have positive moderation on the ripple effect of disruption. Resilience capability remains to have dominating direct positive effect in mitigating disruptions when supply chain complexity is taken into account.

This study extends the research discourse on supply chain resilience and disruption management with focus on the supply side. It demonstrates that, along with the severity of the disruption scenario, the ripple effect must also be considered when analyzing the benefits of resilience practices implemented by the focal company.

Complexity in the supply chain can only help to smooth-out the rippling effects of a disruption, which go largely beyond supply-demand unbalances and lead time fluctuations. To mitigate it better, the focal company has to act proactively with adequate resilience practices, which also connects to the importance of better visibility across multiple supply chain tiers.

To the best of the authors' knowledge, this is the first study that empirically tests the benefits of resilience practices and the ripple effect of disruptions under the moderation role of supply chain complexity.

Building supply chain (SC) resilience has become a priority for many organizations, following a global increase in disruptive events. While management accounting and control (MAC) systems play a supportive role in supply chain management (SCM) decisions, little is known about the contributions offered to resilience decisions in service organizations. The purpose of this study is to examine the performance implications of MCS's impact on proactive and reactive resilience of healthcare supply chains.

This study conducted a survey of 127 public health managers via structural equation modeling. The partial least squares version 3.3.3 was used.

The results show a statistically positive impact of MAC dimensions on proactive and reactive resilience, which in turn impacts the quality, delivery speed and cost effectiveness of the health SC. However, the integration dimension had an insignificant effect on reactive resilience but a positive effect on proactive resilience.

This study examined the performance implications of MAC system dimensions and proactive and reactive resilience on operational performance in health SCs, using empirical data from only one country. Thus, generalizing the findings to include other jurisdictions may be impossible.

Healthcare managers in public health facilities should embrace the four MAC dimensions (except the integrated dimension in reactive resilience) to support information generation in SC resilience decisions.

Perhaps, the first to provide preliminary empirical evidence on the interactive effect of proactive and reactive resilience and MAC dimensions in terms of broad scope, timeliness, integration and aggregation on health SC operational performance under disruption, in the context of an emerging economy.

This study aims to explore the relationships among the five components of supply chain (SC) resilience (SCRES): visibility, velocity, flexibility, robustness and collaboration and their impacts on the SC performance under disruption (SCPUD).

Five SCRES components are identified from the literature review and data are collected using an web survey from 113 manufacturing companies in Taiwan. The data are analyzed by structured equation modeling with the partial least square solution. Two-stage least-squares (2SLS) regression was used to test the potential endogeneity of SC collaboration (SCC).

The results reveal that SCC is an exogenous driver of SCRES; it directly affects visibility, velocity, flexibility, robustness and SCPUD. Furthermore, SC flexibility is the only component of SC agility that directly affects SCPUD; it is influenced directly by SC velocity and indirectly by SC visibility through SC velocity. SC visibility is a vital agility component that positively influences SC velocity and SC robustness.

The data in this study are cross-sectional and the sample size of 113 is relatively small. The relationship between SC robustness and SCPUD needs a longer observation period to reveal. The logistic issue in the shortage of carriers caused by the pandemic has been overlooked.

A firm should enhance its collaboration and flexibility in the SC as they both are the critical antecedents of SC performance (SCP) during the disruption period.

This study integrates visibility, velocity, flexibility, robustness and collaboration into a complete framework of SCRES. The dependent variable, SCPUD, measures SC performance (SCP) under the disruption caused by the COVID-19 pandemic. It is the first study to investigate the associations of the six constructs in a research model.

This study proposes an integrated model to explore the relationships between dynamic capability and supply chain resilience (SCRE) and the relationships' impacts on firms' financial performance with supply chains (FPwSC) during the coronavirus disease 2019 (COVID-19) pandemic.

Based on resource-based theory and knowledge-based theory, the dynamic capability is classified into resource-based dynamic capability (RBDC) and knowledge-based dynamic capability (KBDC). The study collects 158 useable survey samples from manufacturers in Taiwan and analyzes the samples with the structural equation model.

The results show that knowledge is power; KBDC is crucial for FPwSC, SCRE and RBDC. In addition, SCRE mediates the relationship between KBDC and FPwSC. Finally, RBDC significantly suppresses FPwSC.

Future researchers could replicate this study in other industries and expand this to other countries to generalize the results.

A firm with KBDC can adopt and implement strategies that exploit its internal strengths to respond to environmental opportunities, overcome internal weaknesses and mitigate external threats. Furthermore, a firm should fully utilize SCRE with proactive and reactive strategies. Exercising a firm's KBDC could facilitate SC collective intelligence to handle the risk of SC disruption and vice versa.

The study is the first to combine KBDC, RBDC and SCRE into an integrated model for FPwSC. Moreover, this study reveals that resilience relies on knowledge, not resources, as evidenced by SCRE being affected significantly by KBDC but not RBDC.

This study aims to investigate the influence of supply chain resilience (SCR) and supply chain capabilities (SCC) on supply chain performance (SCP) through the direct and moderating influence of the degree of SCR (DSCR), as demonstrated in UAE energy industry supply chain management (SCM) processes.

Using the partial least squares structural equation modeling (PLS-SEM), a questionnaire-survey collected 168 valid responses from UAE-based companies that operate within the energy industry. This study investigates the moderated mediation research model of the SCR, SCC and SCP with DSCR being considered as the variable having the moderation role.

SCR and SCC were found to have a significant positive affect on SCP playing a mediating role in improving performance during or after a SC disruption. However, the objective was to confirm the exitance of the moderator role in DSCR to substantiate its moderated mediating effect in the research model. There was a negative moderating effect of SCR on SCP through SCC.

This is among the pioneer study that suggests and empirically tests the moderated mediating impacts of the SCR degree on the relationships between SCR, capability within a supply chain and its performance. An additional element of originality of this study is its relevance to the UAE energy industry and recent SC disruptions.

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 of this study is to discern the role of entrepreneurial leadership (EL) – a dynamic capability – in increasing supply chain performance (SCP), through building supply chain resilience (SCR). The study further suggests that the presence of supply chain orientation (SCO) within a firm will enhance the relationship between EL and SCR.

Dynamic capabilities view is used to develop the hypotheses and a survey method is used to collect data from manufacturing firms in Pakistan. The hypothesized model is tested using structural equation modeling (SEM).

The results in general confirm the hypothesized model. The findings suggest that SCR mediates the relationship between EL and SCP. The results also confirm that SCO moderates the relationship between EL and SCR.

This paper contributes by studying the pivotal role of EL in building SCR and sustaining a competitive advantage in an uncertain environment.

The purpose of this paper is to present an artificial homeostatic system whose parameters are defined by means of an evolutionary process. The objective is to design a more biologically plausible system inspired by homeostatic regulations observed in nature, which is capable of exploring key issues in the context of robot behaviour adaptation and coordination.

The proposed system consists of an artificial endocrine system that coordinates two spatially unconstrained GasNet artificial neural network models, called non‐spatial GasNets. Both systems are dedicated to the definition of control actions in autonomous navigation tasks via the use of an artificial hormone and a hormone receptor. A series of experiments are performed in a real and simulated scenario in order to investigate the performance of the system and its robustness to novel environmental conditions and internal sensory disruptions.

The designed system shows to be robust enough to self‐adapt to a wider variety of disruptions and novel environments by making full use of its in‐built homeostatic mechanisms. The system is also successfully tested on a real robot, indicating the viability of the proposed method for coping with the reality gap, a well‐known issue for the evolutionary robotics community.

The proposed framework is inspired by the homeostatic regulations and gaseous neuro‐modulation that are intrinsic to the human body. The incorporation of an artificial hormone receptor stands for the novelty of this paper. This hormone receptor proves to be vital to control the network's response to the signalling promoted by the presence of the artificial hormone. It is envisaged that the proposed framework is a step forward in the design of a generic model for coordinating many and more complex behaviours in simulated and real robots, employing multiple hormones and potentially coping with further severe disruptions.