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COVID-19 once again showed the importance of building resilience in supply chains. Extant research on supply chain resilience management has successfully identified a set of organizational antecedents that contribute to supply chain resilience. However, little is known about the mechanisms by which these antecedents are developed within a firm. Drawing on the dynamic managerial capabilities theory, the current study aims to investigate the critical role that supply chain managers play in developing the organizational antecedents. Specifically, this study shows that supply chain managers' social capital, human capital and cognition are instrumental to the development of three organizational supply chain resilience antecedents: visibility, responsiveness and flexibility, which subsequently enhance the firm's supply chain resilience.

The authors employ survey data collected from 598 manufacturing firms in Australia, and Hayes and Preacher's (2014) parallel multiple mediator model to empirically test the hypotheses.

The findings of the study establish that supply chain managers' social capital, human capital and cognition indeed have implications for developing supply chain resilience. Furthermore, the mediators through which managers' social capital, human capital and cognition improve supply chain resilience are identified in the current study.

The study contributes to the extant literature on supply chain resilience, investigating the role that supply chain managers play in developing the resilience of their firm.

The hotel and tourism industry forms a crucial economic sector for all the economies around the world. However, it suffered the worst hit during the COVID-19 outbreak. Considering the hotel and tourism sector's critical situation, this manuscript aims to emphasise the importance of resilience in the hotel and tourism supply chain (HTSC) and explores the crucial barriers that tend to disturb the inculcation of stability in the hotel and tourism sector. The present research analyses the factors influencing the hotel and tourism sector's resilience and also takes into consideration the various critical success factors (CSFs) needed to build a resilient HTSC.

A two-phase research approach has been proposed and used in this study. In the first phase, eight CSFs and sixteen factors influencing the hotel and tourism sector's resilience during the COVID-19 pandemic were identified. The basis of the identification of the CSFs and factors was literature and inputs received from experts. In the second phase, the grey-Entropy-EDAS, a qualitative and quantitative analysis, was used to analyse the identified CSFs and factors to determine the priority of concern.

In this research, the most imperative facet influencing the hotel and tourism sector's resilience has been identified, and the findings will assist hotel and tourism sector in managing and mitigating the repercussions of the COVID-19 pandemic. The analysis of the results indicates that out of all the critical success factors, supply chain visibility is the most crucial aspect in building HTSC's resilience, whereas economic catastrophe is the most influential factor. Sensitivity analysis is also conducted to examine the priority ranking stability.

The results of this study can be used by the hotel supply chain managers and policymakers to plan for various challenges faced by them as they try to implement resilience-based strategies in their supply chain.

This research is unique as it analyses the general factors hindering the pathway of resilience in the hotel and tourism supply chain. This is also the first kind of study that has used grey-Entropy to analyse the critical success factors and grey-EDAS for analysing the impact of various factors influencing the hotel and tourism sector's resilience.

The COVID-19 pandemic came with a lot of stress, uncertainty and disruption for managing the construction supply chain (CSC). The disruption in return caused weak resilience of CSC activities. Unfortunately, the existing models for managing CSC focus on preparedness and recovery while neglecting the visibility perspective of resilience CSC. Towards creating a resilience CSC, this study modelled construction 4.0 as the vaccine for supply chain resilience in the construction industry.

A survey questionnaire was used to collect data randomly from construction stakeholders. The questionnaire was analysed with a structural equation model analysis using SmartPLS while conducting tests such as path coefficient analysis, discriminant analysis and importance-performance analysis.

This study discovered that construction 4.0 is a significant tool and vaccine for ensuring visibility, recovery and adaptation within the supply chain. Construction 4.0 will function as a vaccine for ensuring resilience because of its capacity to optimise CSC management by introducing an evidence-based management approach and less dependent on implicit knowledge. Towards reaping the full potential of construction 4.0, it should be adopted as a moderating variable.

The research is limited by the use of a single methodology (quantitative) without including a qualitative method to understand better and explore the impact of construction 4.0 on CSC resilience. The qualitative part can be carried out by conducting interviews targeted at construction stakeholders.

In spite of the limitations, the findings of this study contributed to building a more responsive and resilient CSC during the pandemic period. Furthermore, this study also presented the crucial construction 4.0 technology capable of ensuring resilience within the CSC.

This paper presents a model for applying construction 4.0 as a vaccine for ensuring CSC resilience during the COVID-19 pandemic period. This study contributed to ensuring that decisions made within the CSC adopt an evidence-based approach.

The purpose of this paper is to analyze the supply chain's resilience in crowd networks from both static and dynamic perspectives.

This paper first defines the supply chain’s resilience, then proposes a graphical and game-theoretic framework to evaluate the resilience.

In this framework, an equilibrium with high resilience will be achieved after the iterated prisoner's dilemma in the supply chain. The two-stage update mechanism contributes to higher profits, higher stability and stronger risk resistance capability. The reputation-based tit-for-tat strategy in the second stage helps to realize society cooperation.

This work pays more attention to the dynamic evolution of interactions between organizations in the supply chain. It provides an important theoretical basis for future work such as how to effectively control and guide the evolution of events in the intelligence network and how to stand sudden changes and avoid collapse.

Many supply chains have faced disruption during Covid-19. Artificial intelligence (AI) is one mechanism that can be used to improve supply chain resilience by developing business continuity capabilities. This study examines how firms employ AI and consider the opportunities for AI to enhance supply chain resilience by developing visibility, risk, sourcing and distribution capabilities.

The authors have gathered rich data by conducting semistructured interviews with 35 experts from the e-commerce supply chain. The authors have adopted a systematic approach of coding using open, axial and selective methods to map and identify the themes that represent the critical elements of AI-enabled supply chain resilience.

The results of the study highlight the emergence of five critical areas where AI can contribute to enhanced supply chain resilience; (1) transparency, (2) ensuring last-mile delivery, (3) offering personalized solutions to both upstream and downstream supply chain stakeholders, (4) minimizing the impact of disruption and (5) facilitating an agile procurement strategy.

The study offers interesting implications for bridging the theory–practice gap by drawing on contemporary empirical data to demonstrate how enhancing dynamic capabilities via AI technologies further strengthens supply chain resilience. The study also offers suggestions for utilizing the findings and proposes a framework to strengthen supply chain resilience through AI.

The study presents the dynamic capabilities for supply chain resilience through the employment of AI. AI can contribute to readying supply chains to reduce their risk of disruption through enhanced resilience.

In the past decade, firms have become more aware of supply chain disruptions and their impact on the firm. Developing a supply chain resilience organizational culture has been proposed as an effective way to manage supply chain risks. This study intends to explore how the geographical location risks impact the decision to develop a supply chain resilience strategy, in particular, to anticipate the disruption proactively and have a business continuity plan in place. Using a unique database including thousands of manufacturing locations that belong to over 7,000 firms across 102 countries, we test three hypotheses to understand if geographical location risks, frequency of disruptive events, and the region in which a site is located are factors for the likelihood of a firm having a business continuity plan at their locations. The study also seeks to understand if there are regional effects and firm effects affecting the decision to develop resilience. With a particular focus in Latin America and the firms with a manufacturing presence in that region. The main findings of the study are that natural disaster risks do tend to develop a culture of resilience, while macroeconomic risks tend to do the opposite. These results remain stable for firms' effects. The Latin America region shows no observable statistical difference in developing resilience compared to the Asia region. While the Northern America region shows more resilience compared to Asia. We conclude that economic risk is less predictable and harder to develop a plan for than disruptions, such as natural disasters. The findings of this study present an opportunity for governments to develop resilience plans that can make their countries more attractive for investment to multinational firms looking to establish new manufacturing locations around the world.

COVID-19 has pushed many supply chains to re-think and strengthen their resilience and how it can help organisations survive in difficult times. Considering the availability of data and the huge number of supply chains that had their weak links exposed during COVID-19, the objective of the study is to employ artificial intelligence to develop supply chain resilience to withstand extreme disruptions such as COVID-19.

We adopted a qualitative approach for interviewing respondents using a semi-structured interview schedule through the lens of organisational information processing theory. A total of 31 respondents from the supply chain and information systems field shared their views on employing artificial intelligence (AI) for supply chain resilience during COVID-19. We used a process of open, axial and selective coding to extract interrelated themes and proposals that resulted in the establishment of our framework.

An AI-facilitated supply chain helps systematically develop resilience in its structure and network. Resilient supply chains in dynamic settings and during extreme disruption scenarios are capable of recognising (sensing risks, degree of localisation, failure modes and data trends), analysing (what-if scenarios, realistic customer demand, stress test simulation and constraints), reconfiguring (automation, re-alignment of a network, tracking effort, physical security threats and control) and activating (establishing operating rules, contingency management, managing demand volatility and mitigating supply chain shock) operations quickly.

As the present research was conducted through semi-structured qualitative interviews to understand the role of AI in supply chain resilience during COVID-19, the respondents may have an inclination towards a specific role of AI due to their limited exposure.

Supply chain managers can utilise data to embed the required degree of resilience in their supply chains by considering the proposed framework elements and phases.

The present research contributes a framework that presents a four-phased, structured and systematic platform considering the required information processing capabilities to recognise, analyse, reconfigure and activate phases to ensure supply chain resilience.

This paper approaches the dynamics of supply chain resilience from the company from customer's point of view, seeking to illuminate which mechanisms and practices are used (intentionally or unintentionally) to increase the resilience of their critical suppliers, and thus to evaluate the impact of these mechanisms and practices on its entire supply chain (SC).

The authors explore some emerging developments in organizational resilience with an embedded case study of a group of focal companies operating in the automotive SC. Therefore, semi-structured interviews have been conducted with buyers and sellers using content analysis, in the light of the prospect theory and the resource dependency theory.

The results indicate the existence of a resilience sheaf that runs through the entire supply chain, formed by a set of 11 formal mechanisms and informal practices.

This resilience sheaf can guide managers thorough SC resilience development by taking its components as a reference and optimizing the use of resources both effectively and efficiently.

SC resilience has been conceptualized as a function of an organization's situational awareness, the identification and management of key vulnerabilities and the ability to successfully react in a complex, dynamic and interconnected environment. These propositions highlight the features of both internal and external mechanisms to enhance organizational resilience.

The readymade garments (RMG) industry acts as one of the foremost vital catalysts for financial as well as social advancement of Bangladesh. Due to the harsh impact of COVID-19, RMG sector has been confronting a never-seen-before phenomenon. Since the supply chain has seriously been influenced, concern raises among industry and policymakers on how to support against disturbances resulting from pandemics. Accordingly, this research aims to explore the vulnerability and capability factors of RMG sector in Bangladesh, their relationship and how these variables affect supply chain resilience.

A qualitative research design has been employed. In the first stage, content analysis has been performed. Since COVID-19 is a new experience, newspapers were the source to become acquainted with the vulnerability and capability factors following the guidelines provided by Pettit et al. (2010). In the second stage, in-depth interviews with key informants were conducted to investigate the relationship among the variables and how these factors may influence supply chain resilience.

This study identifies fourteen capability factors and their sub-factors of RMG industry in Bangladesh in order to improve the resilience capacity against the vulnerabilities in the context of COVID-19 pandemic.

This research is based on the setting of particular industry in Bangladesh, where respondents are immersed in a unique culture. Special care is required to generalize the results to other segments and phenomena.

The framework recognizes the balanced and unbalanced strength with the capability's components and find the relation between capabilities and vulnerabilities within the fashion industry. By creating the resilience network with the four conceivable positions, companies can find themselves with their capability's components and natural vulnerabilities.

This study investigates diverse components of capability figure against vulnerabilities to create the supply chain resilience. This paper, moreover, develops with four conceivable positions with their capabilities against existing vulnerabilities which brings timely contribution considering the context of COVID-19.

This paper aims to study the religious tourism supply chain and understand and introduce resilience across the same to mitigate post-pandemic disruptions.

In this manuscript, a systematic literature review has been done to identify the gaps in the religious tourism supply chain, which gives adequate revenue to India but not studied yet. The identified gap shaped this study's objectives and research questions and guided the authors to devise a theoretical framework for the religious tourism supply chain.

The key findings of this research paper led to identifying both threats and opportunities for the religious tourism supply chain, which has been into existence and caused many disasters in the past. As pandemic Covid-19 shut the doors of these religious destinations for extended periods, it became necessary for governments, state authorities and private parties to think and devise the post unlock operating processes for this supply chain. This thinking directed the authors to create a framework for the smooth flow of people and other services across this supply chain. The collaborative efforts of all the stakeholders at various levels can realize the actual working of the suggested framework. A stagewise set of processes has been proposed to understand the resilience across the religious tourism supply chain and reduce disruptions.

Covid-19 pandemic has devastated the world economies and disrupted the supply chains of all sectors. The paper elaborates the need for cohesive efforts to introduce resilience across humanitarian supply chains and phase-wise processes to reduce the disruptions caused by various disasters. These systematic efforts will familiarize the readers with the need for resilience across the religious tourism supply chain. Still, it would also assist in generating revenue for the Indian government and reviving the economy soon.

The trade of religious tourism adds a significant contribution to the Indian economy in terms of revenue, employment, visibility of culture and destination, etc. The Covid-19 pandemic has immensely disrupted the tourism sector supply chain, resulting in huge losses (FICCI report 2020). The introduction and implementation of resilience across the religious tourism supply chain can diminish the losses and assist in reviving the economy soon. Construct of resilience across the religious tourism supply chain has not been studied yet. This manuscript contributes to identifying post-pandemic challenges across the religious tourism supply chain and ways to integrate resilience to reduce disruptions caused by disasters.