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Despite the escalating significance and intricate nature of supply chains, there has been limited scholarly attention devoted to exploring the cognitive processes that underlie supply chain management. Drawing on cognitive-behavioral theory, the authors propose a moderated-mediation model to investigate how paradoxical leadership impacts manufacturing supply chain resilience.

By conducting a two-wave study encompassing 164 supply chain managers from Chinese manufacturing firms, the authors employ partial least squares structural equation modeling (PLS-SEM) to empirically examine and validate the proposed hypotheses.

The findings indicate that managers' paradoxical cognition significantly affects supply chain resilience, with supply chain ambidexterity acting as a mediating mechanism. Surprisingly, the study findings suggest that big data analytics negatively moderate the effect of paradoxical cognition on supply chain ambidexterity and supply chain resilience, while positively moderating the effect of supply chain ambidexterity on supply chain resilience.

These findings shed light on the importance of considering cognitive factors and the potential role of big data analytics in enhancing manufacturing supply chain resilience, which enriches the study of behavioral operations.

The results offer managerial guidance for leaders to use paradoxical cognition frames and big data analytics properly, offering theoretical insight for future research in manufacturing supply chain resilience.

This is the first empirical research examining the impact of paradoxical leadership on supply chain resilience by considering the role of big data analytics and supply chain ambidexterity.

Modern supply chains have become increasingly vulnerable to disruptions, as evidenced by the recent COVID-19 crisis, the Suez Canal blockage and the war in Ukraine. The purpose of the study was to examine the impact of disruptions on organizations and their supply chains, and to examine which resilience principles and corresponding strategies were effective at maintaining and/or creating competitive advantage.

Anchored in contingent resource-based view theory and organizational information processing theory, the study uses an explanatory mixed-methods explanatory research design consisting of two surveys followed by semi-structured interviews to elaborate on the quantitative results.

The quantitative findings showed that data analytic capability combined with a data driven culture had a positive impact on competitive advantage through improved supply chain robustness. No similar effect for supply chain resilience on competitive advantage was found. This was explained by the qualitative findings which showed that insights enabled data analytic capability led to increased supply chain robustness by encouraging proactive measures such as safety stock and redundancies in the supply chain. However, supply chain resilience required these measures to be in place. Without them, supply chain managers were unable to act upon the insights enabled by visibility.

The empirical findings show that data analytic capability impacts supply chain robustness and resilience in different ways, especially in the context of unprecedented disruptions.

Drawing on the dynamic capability view (DCV), this research determines the suitable configurations of resilience strategies for sustainable tourism supply chain performance amidst “extreme” disruptive events affecting the entire supply chain.

This research applies a multi-study and multi-method approach. Study 1 utilizes in-depth interviews to identify a list of tourism supply chain sustainability risks and resilience strategies. Study 2, using quality function deployment (QFD) technique, determines the most important resilience strategies corresponding to highly significant risks. Study 3, on the other hand, adopts a fuzzy set qualitative comparative analysis (fsQCA) to determine the best recipe of resilience strategies and risks to make the tourism supply chain performance sustainable.

The findings reveal that sustainable tourism performance during an extreme disruptive event (e.g. COVID-19 health crisis) depends on the combined effect of tourism resilience strategies and risks instead of their individual effect.

The research findings offer significant managerial implications. Managers may experiment with multiple causal conditions of risks and resilience strategies to engender the expected outcome.

This research extends current knowledge on tourism supply chain and offers insights for managers to mitigate the risks and ensures sustainable performance in the context of extreme disruptive events.

This paper aims to study the dimensions and subdimensions of humanitarian supply chain resilience through the case of an non-governmental organization (NGO) logistics organization facing the international COVID-19 pandemic.

The methodology of this empirical research paper is based on a qualitative study using semistructured interviews with key actors of the Médecins Sans Frontières Logistique (MSF Log), NGO during the COVID-19 crisis in 2020 and 2021.

The data analysis highlighted four main dimensions of humanitarian supply chain resilience: organizational capacity, collaboration, flexibility and humanitarian culture. The transversal importance of the information system and that of the humanitarian culture were also pointed out. Furthermore, the authors have identified the subdimensions of each dimension; these subdimensions further elaborate the main dimension and provide a more detailed understanding of the concept. These dimensions require both proactive and reactive actions to be effective. Finally, based on these empirical results, a conceptual model of humanitarian supply chain resilience is proposed.

Additionally, further research can be done to explore the impact of digital technologies on the humanitarian supply chain resilience and how these technologies can be used to improve the resilience of humanitarian supply chains. Additionally, future research can also be conducted to explore how to measure the resilience of humanitarian supply chains and how to develop methods to improve the resilience of these supply chains.

The dimensions and subdimensions of resilience that have been highlighted may provide a guide for managers to target their actions, both responsively and proactively, to act on resilience over time when facing a crisis such as an international pandemic.

The value of this research is linked to the findings that result not only from literature about resilience but are also founded on an empirical and qualitative study of an NGO logistics organization facing an international crisis. The research provides an in-depth understanding of the practical application of supply chain resilience in a humanitarian context and the specific challenges and opportunities that arose during the COVID-19 pandemic for MSF Log. It also highlights the importance of information systems and humanitarian culture in maintaining the supply chain resilience. The findings of this research can be used as a guide for other humanitarian organizations to improve their supply chain resilience in times of crisis.

Are major and frequent disruptions transforming global supply chains? This study aims to investigate how multinational companies (MNCs) are responding to the phenomenon of accumulated major disruptions in recent years and plausible new paradigm of unstable conditions and environmental uncertainty from a supply chain resilience (SCRES) perspective.

Following an inductive interpretivist approach based on interpretive phenomenology, this study gathers insights from ten MNCs supply chain managers and international consultants who participated as key informants via semi-structured interviews, sharing their experience of the phenomenon. Additionally, secondary sources such as press releases, media articles and industry reports were used for data collection.

Findings include five categories of recovery actions, i.e. levelling, rationing, buffering, bridging and boundary redefining, key strategic changes in competitive priorities, internal organisation and coordination structures, and a hierarchy between SCRES characteristics, integrated in an empirically derived conceptual framework connecting these constructs. This contributes to middle-range theories within SCRES body of knowledge. The authors also identify a set of areas for future SCRES research.

Findings can support MNCs’ supply chain professionals in designing and managing resilient global supply chains, based on learnings from the recent highly disruptive environment, particularly, regarding recovery actions and resilience-building strategic changes contributing to agility and robustness in global supply chains.

Non-positivist interpretive and inductive works are scarce in SCRES research. By adopting this novel approach for this field, the authors broadened the categorisation of responses used in previous works and identified prominent strategic changes and SCRES characteristics and relations among constructs, thus bringing conceptual clarity to SCRES research within the context of the study.

The purpose of this paper is to examine the nuanced effects of downstream complexity on supply chain resilience, based on portfolio theory and normal accident theory. Intelligent manufacturing is considered to clarify their boundary conditions.

The ordinary least squares regression was conducted, based on the data collected from 136 high-tech firms in China.

Horizontal downstream complexity has a positive effect on supply chain resilience significantly, while the negative impact of vertical downstream complexity on supply chain resilience is not significant. Contingently, intelligent manufacturing plays a negative moderating role in the relationship between horizontal downstream complexity and supply chain resilience, while it positively moderates the relationship between vertical downstream complexity and supply chain resilience.

This study disentangles the nuanced effects of both horizontal and vertical downstream complexity on supply chain resilience, based on portfolio theory and normal accident theory. It also clarifies their boundary conditions by considering the focal firm's intelligent manufacturing level as the contingent factor.

Supply chain resilience and knowledge management (KM) processes have received increasing attention from researchers and practitioners. Nevertheless, previous studies often treat the two streams of literature independently. Drawing on the knowledge-based theory, this study aims to reconcile these two different streams of literature and examine how and when KM processes influence supply chain resilience.

This research develops a conceptual model to test a sample of data from 203 Chinese manufacturing firms using a structural equation modeling method. Specifically, the current study empirically examines how KM processes affect different forms of supply chain resilience (supply chain readiness, responsiveness and recovery) and examines the moderating effect of blockchain technology adaptation and organizational inertia on the relationship between KM processes and supply chain resilience.

The findings show that KM processes positively affect three dimensions of supply chain resilience, i.e., supply chain readiness, responsiveness and recovery. Besides, the study reveals that blockchain technology adoption positively moderates the relationships between KM processes and supply chain resilience, whereas organizational inertia negatively moderates these above relationships.

This research linked the two research areas of supply chain resilience and KM processes, further bridging the gap in the research exploration of KM in the supply chain field. Next, this study contributes to supply chain resilience research by investigating how KM systems positively impact supply chain readiness, responsiveness and recovery. In addition, this study found a moderating effect of blockchain technology adaption and organizational inertia on the relationship between KM processes and supply chain resilience. These findings provide a reference for Chinese manufacturing firms to strengthen supply chain resilience, achieve secure supply chain operations and gain a competitive advantage in the supply chain. This studys’findings advance the understanding of supply chain resilience and provide practical implications for supply chain managers.

This paper’s main aim is to check the mediating effect of supply chain memory in the relationship between using digital technologies and both supply chain resilience and robustness. In addition, the impact of the COVID-19 disruption was tested as a moderator of the impact of supply chain memory on supply chain resilience and robustness.

Altogether, 257 supply chain managers answered the questionnaire, and data were analysed through structural equation modelling.

This paper contributes to theory and practice by demonstrating that the experience, familiarity and knowledge to deal with disruptions partially mediate the relationship between digital technologies, resilience and robustness. Moreover, our results show that memory is less efficient for the supply chain to maintain an acceptable level of performance in case of a new extreme disruptive event like COVID-19. The full model was able to explain 36.90% of supply chain memory, 41.58% of supply chain resilience and 46.21% of supply chain robustness.

The study helps to understand how to develop supply chain memory, positioning digital technologies as an antecedent of it. The impact of supply chain memory on supply chain resilience and robustness is proved. Knowledge about the impact of industry 4.0 technologies on disruption management is quantitatively improved. It demonstrates that digital technologies impact resilience and robustness mainly through supply chain memory. The study proves that supply chain memory is less efficient for the chain remains effective when a non-routine disruptive event occurs, but it is still imperative to recover from it.

A globalized world demands proactive tactics from organizational supply chains. Companies should be capable of mitigating the impacts of natural and manmade disasters, which requires that they understand their stages of maturity and resilience. This study develops a theoretical model of the relationship between maturity and resilience, seeking to guide decision-making about aligning these two concepts.

A systematic literature review was conducted to identify the constructs that form the basis for our proposed maturity and resilience model.

The authors identified the key constructs related to maturity and resilience by analyzing the existing literature and selected 13 constructs and 3 maturity stages to construct our maturity and resilience model.

This research contributes to the supply chain management literature, especially that involving the themes of maturity and resilience. It can encourage research to develop future empirical research in the field to validate and overcome the limitations of the initial model the authors propose.

The authors’ proposed model supports supply chain managers in establishing strategies to increase resilience based on the maturity of the chains they manage, enabling them to face crises such as the coronavirus disease 2019 (COVID-19) pandemic.

The model presents a holistic view of maturity and resilience in supply chains contributing to supply chain theory by examining the alignment between the two themes.

This study aims to provide a rich learning opportunity from COVID-19 crisis for making resilient supply chain by adopting new strategies for the procurement system.

The systematic literature review has been conducted from the year 2012 to 2022 with the objective of developing procurement system for resilient supply chain. Fifty-four research papers are selected for this study.

The study exhibits that procurement function makes a significant contribution in creating supply chain resilience in the time of COVID-19 pandemic. The COVID-19 emergency has enforced companies to operate in new ways to face supply chain disruptions. The new strategies and actions appropriate for resilient procurement system have been identified.

This study is limited to the papers that were indexed in the Scopus database. It has also been limited to the procurement function and supply chain resilience.

This research highlights strategies for supply chain resilience to improve the business performance in COVID-19 or similar types of crisis.

The originality of this paper is to identify the strategies and new practices followed in procurement function to improve the supply chain resilience. This study suggests directions for future research on the integration of procurement and manufacturing for making resilience in the supply chain.