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Blockchain technology (BT) is creating a new standard for all business operations. It can assist businesses in handling the complexity of circular digital supply chain (DCM) management. Despite this optimistic view, several barriers hinder its implementation. In this regard, this study contributes to Industry 4.0, circular economy (CE), the viability with a critical emphasis on its potential ramifications and influence on the future agenda while using BT technology in the supply chain (SC). In addition, the research reduces the knowledge gap by investigating and ranking the key barriers to the deployment of BT in viable circular digital supply chains (VCDSCs) and studies their interdependencies and causal relationships. The purpose of this paper is to address these issues.

The barriers to BT adoption in the VCDSC are identified through a thorough literature review and considering viability performance. These barriers are then classified using the analytical hierarchy process (AHP) method. Decision-making trial and evaluation laboratory (DEMATEL) is then employed to examine the cause/effect, correlation, and connection among the 14 barriers selected barriers from the AHP classification to estimate each barrier's overall degree of impact over the others.

This paper identifies and analyzes the BT adoption barriers in the VCDSC as well as examines how the key barriers interact. As a result, according to the AHP/DEMATEL method, the most prominent influencing barriers to the BT implementation in the VCDSC are “Data transparency,” “Market competition,” “Missing infrastructure,” “Lack of standardization,” “Complex protocol,” “Lack of industry involvement,” “Financial constraints,” “Missing infrastructure,” “Data transparency” and “Interoperability.” The outcomes offer a potential path for identifying important barriers as well as insight into the implementation of BT in the SC while integrating different capabilities such as viability, sustainability and CE principles.

Managers and researchers will benefit from this research by gaining an understanding of the challenges that must be prioritized and examined for BT to be implemented successfully in the VCDSC.

The use and implementation of blockchain-enabled VCDSC continue to face challenges despite an increase in relevant practice and research. Despite the benefits of BT, managers struggle to apply such technology in the context of their company. In this respect, this paper uses an integrated AHP–DEMATEL for categorizing the BT barriers as well as the interrelationship between them. In this respect, this paper presents the BT barriers studied are those related to the use of BT in the SC while integrating different paradigms such as viability, digitalization and CE. While many studies look at the barriers to BT adoption; none of them has ever included the viable capability, which means the ability to “react agilely to positive changes, be resilient to absorb negative events and re-cover after disruptions and survive at long-term periods.” The study concludes with insightful comments based on the findings and suggestions for eradicating those obstacles and their associated effects.

This study aims to develop a hierarchical model that uncovers the relationships between challenges confronting Africa's organ transplant supply chain systems.

Eleven challenges (variables) were identified after a comprehensive review of the existing literature. The contextual interactions among these variables were analysed from the perspectives of health-care stakeholders in two sub-Saharan Africa (SSA) countries (Nigeria and Uganda), using Delphi-interpretive structural modelling-cross-impact matrix multiplication applied to classification (MICMAC) techniques.

The findings reveal that weak regulatory frameworks, insufficient information systems and a lack of necessary skills make it challenging for critical actors to perform the tasks effectively. The interaction effects of these challenges weaken organ supply chains and make it less efficient, giving rise to negative externalities such as black markets for donated organs and organ tourism/trafficking.

This paper establishes a solid foundation for a critical topic that could significantly impact human health and life once the government or non-profit ecosystem matures. The MICMAC analysis in this paper provides a methodological approach for future studies wishing to further develop the organ supply chain structural models.

The study provides valuable insights for experts and policymakers on where to prioritise efforts in designing interventions to strengthen organ transplantation supply chains in developing countries.

This study is one of the first to empirically examine the challenges of organ transplant supply chains from an SSA perspective, including theoretically grounded explanations from data collected in two developing countries.

This study investigates the effects of top management commitment (TMC) and Kaizen on quality management practices (QMP) and how the latter influence the performance of Jordanian public hospitals in the aftermath of COVID-19.

A survey-based questionnaire was employed to collect data from 222 practitioners and professionals working in public hospitals in Jordan. Partial least squares structural equation modeling (PLS-SEM) was undertaken to analyze data.

Significant and positive effects of TMC and Kaizen (continuous improvement) on QMP are highlighted by the results. The findings also show that QMP has a positive and significant impact on public hospitals' performance. Furthermore, the effects of TMC and Kaizen on performance were also found to be significant.

Practitioners and researchers will gain a greater understanding of how implementing QMP can enhance the performance of public hospitals in the context of the COVID-19 outbreak. The results underline the important role of Kaizen and TMC in the success of QMP and their effect on performance. This research is a cross-sectional study, and there is a need to conduct further empirical investigation based on secondary data or objective measurement of performance.

This research is one of the first studies to investigate the effects of QMP on public hospitals' performance following the COVID-19 outbreak. This study is one of the empirical examinations of QMP and Kaizen in developing countries by investigating Jordanian public hospitals.

The study has two objectives, first, to examine the effect of COVID-19 deaths and corruption on the government's policy responses, and second, to investigate the effect of COVID-19, corruption and government response on hotel performance, using the developmental system's framework of resilience theory.

The study utilizes hotel data from ten countries collected from 1st March 2020 to 28th February 2021. The data are analyzed using the panel regression analysis in E-views.

The study confirms that government policies direct impact the hotel performance. Specifically, economic support policies have a positive effect on hotel performance, while COVID-19 deaths and restrictions have a negative impact on hotels. The study also found a strong association between corruption and the level of restrictions that governments choose to implement. Therefore, for effective recovery, governments must be mindful of the context in which businesses operate and the effect of their policies on the hotel industry.

The strong correlation between COVID-19 deaths and RevPAR highlights the significance of understanding and addressing customers' risk perception to enhance the resilience of the hotel industry. The findings emphasize the importance of collaboration between the hotel industry and the government for effective crisis management and policymaking.

This study empirically examines how various policy responses and crisis levels impact hotel performance. It sheds light on why countries respond to crises differently and the effects of different policy responses on the hotel industry. The study has many implications for the industry stakeholders and policymakers.

This study aims to investigate tourists’ intentions to use hotel service robots with a focus on safety and hygiene. It examines the impact of perceived safety, health awareness and service assurance on consumer engagement and robot usage.

Survey data from 275 participants with experience in robotic service were analyzed using structural equation modeling (SEM). The study used purposive sampling and collected data via the Prolific platform, using SEM and SmartPLS Ver. 3.0 for analysis.

Results indicate customers prioritize safety and hygiene, valuing effective service responses and cleanliness. Perceived robotic safety and service assurance positively influence personal engagement, with a preference for service robots among female guests.

While emphasizing the importance of safety and service assurance in hotel robotics, the study acknowledges limitations in personalization and conclusive use of service robots.

This research contributes to understanding the role of perceived safety in service robot usage, highlighting the significance of user trust and comfort in human–robot interactions. It also explores the novel connection between service assurance and service robots, offering insights into robotic performance reliability in user-centric contexts.