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There is a well-documented trend among businesses for applying continuously improving, technologically-supported processes. This trend, in part, responds to evolving and challenging business environments and competitive pressures. It also increasingly mandates the need for businesses to invest in improving their digital capabilities and is driven by the expectation that such investments will better equip them for uncertain times. The COVID-19 pandemic presented disruptions to the supply chain, logistics, operations, market demand and labour supply, with industry reports providing evidence that businesses with digital capabilities were better able to respond to such disruptions promptly and appropriately. The study aims to investigate the effects of Industry 4.0 (I4.0) technologies on business operations and supply chain resilience.

The authors surveyed 117 Australian manufacturing firms using an online survey and analysed the data by using the partial least square structural equation modelling method.

The authors found I4.0 capabilities directly and positively impact supply chain resilience and that incremental innovation acts as a complementary mediator for the I4.0 technologies’ relationship with supply chain resilience. I4.0 technology capability needs to first transfer to incremental innovation for operations resilience. The authors also found that incremental innovation and operations resilience are serial mediators in the relationship between I4.0 technologies and supply chain resilience.

This research linked the three research areas of I4.0 implementations, innovation capabilities and resilience. To the best of the authors’ knowledge, there has not been a previous study that investigated all three constructs together. Also, this study considered operations resilience and supply chain resilience as two distinct constructs and found I4.0 technologies had differential effects on them. The findings, thus, provide a novel contribution to the resilience, organizational capability and innovation literature. The investigations make clear to business practitioners how investments in technology and innovation capabilities translate into the resilience that is required in periods of disruption to business certainty.

The purpose of this study is to investigate the influence of ambidextrous strategy on supply chain resilience and its impact on firm performance, employing the Dynamic Capabilities View.

Through a survey of 215 supply chain professionals, the research employs a structural equation modeling analysis to examine the relationships between ambidexterity, agile operations, resilience, and performance.

The findings demonstrate that the ambidextrous strategy significantly enhances both agile operations and supply chain resilience. In turn, agile operations and resilience positively impact firm performance. The study also reveals that agile operations and supply chain resilience partially mediate the relationship between ambidextrous strategy and firm performance.

This research contributes to the supply chain management literature by highlighting the importance of an ambidextrous approach in fostering agile operations and resilience, thereby improving firm performance. It extends the dynamic capabilities view framework by elucidating how ambidexterity acts as a pivotal mechanism for adapting to disruptions and securing competitive advantage in volatile markets. Finally, measurements of ambidextrous strategy and resilience are provided to further enhance practitioners’ understanding of building these important components in networks.

This study aims to explore how operational resilience can be achieved within supply ecosystems in the delicate yet harsh natural environments of the Arctic.

An in-depth, multiple qualitative case study of offshore supply operations in Arctic oil and gas field projects is conducted. Data from semi-structured interviews, personal observations and archival materials are analysed through institutional work and logics approaches.

The findings suggest that achieving social-ecological resilience depends on the interaction between social and natural (irreversible) systems, which are shaped and influenced by various institutional dynamics. Different resilience solutions were detected.

This study develops a comprehensive understanding of how social-ecological resilience emerges in supply ecosystems through institutional dynamics. The study’s empirical basis is limited to offshore oil and gas projects in the Arctic. However, due to anticipated future growth of Arctic economic activities, other types of supply ecosystems may benefit from the study’s results.

This research contributes with empirical knowledge about how social-ecological resilience is created through institutional interaction within supply ecosystems to prevent disruptions of both social and ecological ecosystems under the harsh natural conditions of the Arctic.

The purpose of this paper is to conceptualize a typology of supply-side resilience capabilities and empirically validates these capabilities and their constituent bundles of practices.

The study is primarily qualitative, employing the critical incident technique to collect data across 22 firms and seeking to validate how and why practice bundles form and relate to operations performance. It contains a frequency of occurrence analysis for the purpose of triangulation, a minor statistical part to provide some additional evidence of bundle formation and correlation between adoption of bundles of practices and recovered operations performance after upstream supply chain disruptions.

Four supply-side resilience capabilities are conceptualized along two dichotomous dimensions – “proactive/reactive” and “internal/external” – in a 2×2 matrix as proactive-internal, proactive-external, reactive-internal and reactive-external resilience capabilities. Empirical support for the conceptualized typology is found. Bundles of specific practices that can be associated with each capability are identified. Moreover, the study finds a relationship between these practice bundles and recovered operations performance.

The statistical part is used just to provide some additional evidence through factor and regression analyses that these capabilities exist and do benefit adopting firms.

Specifies practices that lead to recovered operations performance in the event of supply disruptions.

Advances current theory by operationalizing resilience as a set of dynamic capabilities in terms of practice bundles that aid in recovering operations performance upon supply disruptions.

The purpose of this article is to discuss how the mastery of resilience in operations and supply chains plays a significant role in the transition to a more sustainable future. Furthermore, it is supposed to propose avenues for future research on operational and supply chain resilience, interacting with the sustainability literature in our field.

A conceptual review of resilience and sustainability themes within operations and supply chain management research is conducted. Reflections on the topic are informed by relevant literature published over the last decade.

The major conceptual contributions are threefold: (1) This article elaborates on the understanding of operational resilience and supply chain resilience concepts and reviews their respective primary research streams. (2) It proposes resilience as the missing element in the pursuit of excellence in organizations that want to contribute to a more sustainable future. (3) The article offers a research framework that provides a future research agenda at the intersection of resilience and sustainability in operations and supply chain management research.

The article highlights gaps in current research and illustrates further areas of research that need to be addressed to maximize the contribution of operations and supply chain management research in supporting practitioners to achieve a more sustainable future.

This paper is motivated by the gap between the extensive academic discussion of industrial resilience and the limited resilience observed in response to large disruptions. Its purpose is to investigate the relationship between the industrial resilience of manufacturing and service operations and the resilience of the supporting financial, legal and political systems. This research identifies the impact of high or low levels of resilience in these supporting systems on the ability of industrial operations to perform as required in disrupted environments.

The authors combine a multi-disciplinary literature review with empirical data from four exploratory case studies. First, the authors review the literature on resilience in the fields of operations management, finance, law and political science to bring the terminology and concepts of these fields closer together. This review also defines the independent variables of the study: financial, legal and political resilience. Second, the authors use the framework from the literature to analyse data from four case studies of operations in difference contexts and sectors.

Industrial resilience is interdisciplinary, nuanced and complex. High levels of industrial resilience require high levels of financial, legal and political resilience. However, the activities required to improve the resilience of these supporting systems are often outside the locus of control of operations managers. Multiple perspectives on resilience must be coordinated to strengthen the response of industrial operations to large disruptions.

As a conceptual and exploratory study, this paper does not utilise quantitative data or in-depth case studies. The authors demonstrate the importance of an interdisciplinary perspective on industrial resilience and provide a theoretical framework that can serve as a foundation to further studies of resilience. The review of the literature provides a glossary of definitions of resilience that improves clarity in this disparate field.

Managers can apply the findings of this work to start cross-functional discussions in their firms that recognise the multiple dimensions of industrial resilience and improve the resilience of the supporting systems. The exploratory case studies provide concrete guidance for how managers in the fields of humanitarian and development operations, healthcare and manufacturing can improve industrial resilience by considering the interaction with the supporting financial, legal and political systems.

This study is the first to provide detailed conceptual discussion and empirical evidence for the interdisciplinary nature of industrial resilience in the context of public sector and non-governmental organisations. Combining evidence from different contexts and sectors demonstrates the broad industrial value of this work.

Subway systems are highly susceptible to external disturbances from emergencies, triggering a series of consequences such as the paralysis of the internal network transportation functions, causing significant economic and safety losses to cities. Therefore, it is necessary to analyze the factors affecting the resilience of the subway system to reduce the impact of disaster incidents.

Using the interval type-2 fuzzy linguistic term set and the K-medoids clustering algorithm, this paper improves the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method to construct a subway resilience factor analysis model for emergencies. Through comparative analysis, this study confirms the superior performance of the proposed approach in enhancing the precision of the DEMATEL method.

The results indicate that the operation and management level of emergency command organizations is the key resilience factors of subway operations in China. Furthermore, based on real case analyses, the corresponding suggestions and measures are put forward to improve the overall operation resilience level of the subway.

This paper identifies four emergency scenarios and 15 resilience factors affecting subway operations through literature review and expert consultation. The improved fuzzy DEMATEL method is applied to explore the levels of influence and causal mechanisms among the resilience factors of the subway system under the four emergency scenarios.

The purpose of this study was to investigate how Lean Six Sigma (LSS) may help mitigate the impact of COVID-19 within health care environments. The goals of this study were to understand the current knowledge of LSS and COVID-19 through a systematic review of the current literature, identify the gap in the current knowledge of LSS in COVID-19 mitigation within health care environments and define the principles of LSS, within organizational resilience that support a health care organization’s ability to mitigate the impact of COVID-19.

A narrative literature review was conducted to identify relevant research. A total of 21 subject matter experts (SMEs) meeting the inclusion criteria were approached through a guided interview process. Content analysis was conducted to describe how LSS principles contribute to supporting health care organizations operating in the era of COVID-19.

Study results report that personal safety is the primary subject, followed by supporting dimensions of process redesign, and telemedicine. LSS topics that directly relate to COVID-19 are in four thematic areas: tools, applications, benefits and challenges. Particular areas of application, techniques, challenges and benefits are identified and discussed that could be applied proactively and reactively, to organizational and supply chain resilience to recover from COVID-19.

There were a number of limitations to the generalizability of this work. The sample size was small and purposeful, thus, external validity of the study results are not determined. The SMEs in this study have not implemented the practices noted in the results at the time of the study, and knowledge of results is limited to the study aims.

This study of LSS principles and COVID-19 has implications for practitioners and offers specific guidance for areas of health care adoption of LSS techniques and tools that benefit patient safety, challenges for the user to be mindful of and potential benefits in resilience of operations in the era of COVID-19.

The purpose of this paper is to investigate synergy/trade-off relationship between lean and operational resilience paradigms upon disruption. Lean and resilience are operationalised with practice bundles and core functions, respectively.

The study uses the Bayesian inference approach to analyse systematically encoded data from firms that faced disruptions in their supply chain. The data were collected from publicly available sources, and encoded using predefined constructs prior to analysis.

Findings show that the synergetic relations between operational resilience and lean in mitigating performance losses outweigh the trade-off. Just-in-time/flow and total productive maintenance lean practices appear to be major sources for the trade-off; there is limited-synergy leveraged on the anticipative (sense) capability of operational resilience.

The dependence on secondary data and small sample size are possible limitations. Future research may employ large-scale studies with the same encoding approach by combining both primary and secondary sources.

This study implies that companies need not abandon their lean implementation in order to be resilient against unanticipated disruptive circumstances. Most lean practices can be used to leverage agility to mitigate disruptions.

This is a first study to empirically compare synergy/trade-off between operational resilience and lean with reference to changes in operations performance upon disruption. It is also a first study to investigate sources of synergy/trade-off at lean practice bundles and resilience core functions level. This is a much more practical level compared to how previous studies have addressed the issue.

The purpose of this paper is to report a comprehensive review of supply chain resilience and identify several research issues.

The articles which have been published in international journals in the period 1980-2012 were collected by using databases like ISI Web of Knowledge, ScienceDirect and EBSCO. The articles were scrutinized based on relevance to context and value addition. The articles contributing significantly in the domain of supply chain resilience were selected for final review and various issues were identified.

The paper argues that though several conceptual to few empirical works been done on supply chain resilience in recent years, there is large scope for research to address the issues in risk management, supply chain design, sourcing strategies, green practices, sustainable competitive advantage, supply chain security, supply chain performance and supply chain resilience.

The insights deduced in the paper are primarily based on 45 articles selected for critical review and analysis in the domain of supply chain resilience and hence should be interpreted only as key concerns in the area.

The paper reports an evaluation of 45 key articles reported in the domain of supply chain resilience and indicates the research opportunities in the area.