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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.

Natural disasters cause serious operational risks and disruptions, which further impact the food supply in and around the disaster-impacted area. Resilient functions in the supply chain are required to absorb the impact of resultant disruptions in perishable food supply chains (FSC). The present study identifies specific resilient functions to overcome the problems created by natural disasters in the FSC context.

The quality function deployment (QFD) method is utilized for identifying these relations. Further, fuzzy term sets and the analytical hierarchy process (AHP) are used to prioritize the identified problems. The results obtained are employed to construct a QFD matrix with the solutions, followed by the technique for order of preference by similarity to the ideal solution (TOPSIS) on the house of quality (HOQ) matrix between the identified problems and functions.

The results from the study reflect that the shortage of employees in affected areas is the major problem caused by a natural disaster, followed by the food movement problem. The results from the analysis matrix conclude that information sharing should be kept at the highest priority by policymakers to build and increase resilient functions and sustainable crisis management in a perishable FSC network.

The study suggests practical implications for managing a FSC crisis during a natural disaster. The unique contribution of this research lies in finding the correlation and importance ranking among different resilience functions, which is crucial for managing a FSC crisis during a natural disaster.

This study aims to examine Musina municipality’s tourism development status and plans with existing documents and respondents’ responses on their envisaged implications on tourism development and sustainability initiatives in Vhembe District, Limpopo Province, South Africa.

Surveys, interviews and focus group discussions, supplemented by field observation and document reviews, gray literature alongside published literature, were applied. Subsequently, Microsoft Excel and cross-tabulation analysis orchestrated the analysis of the data.

The policy and strategy aspects contributing to the previous and actual tourism statuses in Musina municipality are defined. The study concludes that Musina Municipality has rich tourism possibilities but lacks a better tourism strategy to empower local communities. Nonetheless, it dwells in the most tourism-based landscape within the Vhembe District of Limpopo.

Musina Municipality is one of the driest areas in the north of Limpopo Province in South Africa. It is also marked by impoverished rural communities. Studies on sustainable tourism and development have increased in recent years. However, rare studies specialize in synergies within various forms of tourism. Also, significant resources to advance local communities in rural areas are not sufficiently appreciated.

The food supply chain has faced many challenges due to its complex and complicated nature. Blockchain technology is one of the mechanisms used to improve agri-food supply chain processes by evolving organization capabilities. A study is being conducted to scrutinize the adoption of blockchain technology in the agri-food supply chain through the lens of the operational capability approach. It further makes an attempt to identify the capabilities of blockchain to improve supply chain processes.

The qualitative research method with semi-structured interviews was used to gather information from experts and professionals in the food supply chain and blockchain technology. The authors have adopted a systematic approach of coding using open, axial and selective methods to depict and identify the themes that represent the blockchain-enabled agri-food supply chain. The data were collected from 32 interviews of selected participants.

The result shows five critical areas where blockchain can come up to enhance the agri-food supply chain performance by providing traceability, transparency, information security, transactions, and trust and quality. Further, the study reveals that blockchain will provide safety, lower the cost of transactions and can create trust among users to communicate within the whole supply chain without the intervention of a third party. This study demonstrated that the capabilities need to be considered when introducing technology into the practice.

The study implies thought-provoking implications for bridging the theory-practice gap by examining the empirical data to demonstrate how the operational capabilities of blockchain technology further strengthen the agri-food supply chain. Additionally, this study provides some suggestions for utilizing the results and proposes a framework to understand more about blockchain use cases in the agri-food supply chain as well as extend the application of blockchain using an operational capability approach for future academic researchers in this area.

This study presented some more important managerial implications which reveal that the majority of organisations were in the initial stages of adoption process of blockchain technology. Further, the positive influence of managers and IT experts can help the information technology companies (IT) and stakeholders for developing and promoting blockchain solutions in the agri-food supply chain. The important implication of blockchain enabled agri-food supply chain is to maintain information security and incresae supply chain performance.

The study shows the operational capabilities of agri-food supply chain using blockchain technology. Blockchain can contribute in enhancing the agri-food supply chain to increase traceability and transparency and helps to reduce the risk of disruptions.

This research investigates the adoption of the industrial Internet of things (IIoT) in SMEs to achieve and increase organizational performance. With the latest technology, small and medium-sized enterprises (SMEs) can create a competitive edge in the market and better serve customers.

Twelve hypotheses are proposed for this study. This study constructed a questionnaire based on technological, organizational, environmental and human perspectives. A survey is conducted on the SMEs of India using the questionnaire.

Eight hypotheses were accepted, and four hypotheses were not supported. The hypotheses rejected are infrastructure, organizational readiness, internal excellence and prior experience. The findings suggested that adopting IIoT in SMEs will increase organizational performance.

This study will be helpful for the manager, top management and policymakers. This study identified the areas SMEs need to work on to adopt the technologies.

In the literature, no article considered IIoT adoption in SME firms as a human factor. Therefore, this study is unique, including human, technological, organizational and environmental factors.

The strict lockdown during COVID-19 has suspended construction, procurement and logistics in construction industry and affected the entire Supply Chain Management (SCM). The COVID-19 has been universally observed in all sectors, but a limited study has been done in construction industry and also the ways to mitigate it. Hence, the current study aims to identify the impact of COVID-19 in Construction Supply Chain (CSC) and to analyse the influence of factors on Supply Chain (SC) performance during uncertainty in the construction industry.

From previous studies, the factors enhancing the SCM performance are taken. The research follows a qualitative in-depth interview to identify the factors and quantitative study to collect data using a questionnaire. Samples for the study were chosen using purposing sampling techniques. The collected data were analysed using “Statistical Package for Social Science” (SPSS V 20).

Effect of COVID-19 is more on medium sized builders and developers. A positive impact is found between SC agility, SC resilience and information technology (IT) capabilities on SC performance.

Firstly, the study adopted cross-sectional data to test the hypothesis. The study results on the combined effect of the factors SC agility, SC resilience and IT capability during uncertainty were found to have a positive influence. The longitudinal study would enrich the understanding of the research. Secondly, the study was focussed on the perspective of the dynamic capability view. Further studies can adopt a multi-method approach to develop a theoretical framework using in-depth study and empirical validation. It will help in a better understanding of the current situation and young discipline in SC. Thirdly, the study has considered only Kerala construction companies; hence, the data were less. More data with better results will be obtained if the study has included construction companies from other states. Fourthly, the study can be extended to understand the interdependent effects of SC agility, SC resilience and information technology capability on performance. Presently, the interdependent effect in the study is limited.

The study helps the construction professionals to understand the preventive measures needed for the industry during any uncertainty. Also, the study is expected to help the construction managers and leaders with better performance in SCM and other business activities by adopting IT connectivity and being agile in all situations. Moreover, the study also helps policymakers take active solutions by providing awareness and incentives to the construction industry professionals. The literature and the factors will also help the academicians in further research progress.

The research is important for construction professionals to comprehend the impact of COVID-19 and to analyse the influence of factors such as SC agility, SC resilience and IT capabilities on improving the SC performance. This research can assist private and public construction firms to enhance SC performance during times of uncertainty. The result is likely to help construction companies with better SC performance and helps academicians' further progress in research.

This study aims to investigate the influence of the interrelationship between the deployment of Industry 4.0 (I4.0) technologies and the application of lean production (LP) practices on the degree of organizational sustainability performance (SP) enhancement of the Bangladeshi ready-made garment (RMG) sector.

Previously, researchers have applied the resource-based view (RBV) or dynamic capability view (DCV) to describe the interaction of resources and capacities (technologies, management practices, SP) to analyze their effectiveness. However, in light of several contemporary academic discussions, this study contends that these organizational views are inappropriate for explicating SP. Hence, as the foundation of this study’s theoretical framework, the authors used the practice-based view (PBV), which is recommended as a useful window to evaluate the function of practices that are common and simple to emulate in execution. To test the theoretical framework and research hypothesis, this study used partial least square (PLS) analysis. For that, the authors carried out a systematic survey to collect data from 80 Bangladeshi RMG factories.

The results of this research imply that LP is a crucial factor in enhancing organizational SP. Moreover, the results also indicate that the adoption of I4.0 technologies along with LP can assist in delivering the lean objectives more efficiently and, therefore, the combined application of LP practices and I4.0 technologies play a significant role in enhancing organizational SP.

Though the present literature indicates the probable significant association between LP and SP or I4.0 technologies and SP, no study, with the best of the authors’ knowledge, has empirically examined the combined impacts of correlation between LP and I4.0 on SP. This is also a unique study to apply the PBV theory to explain the organizational SP through the combination of common resources and technologies.