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Despite their significant economic impact, small and medium-sized enterprises (SMEs) remain underrepresented in public procurement. While previous research has identified the barriers facing SMEs in public procurement markets, a knowledge gap still exists on how these barriers influence one another in a specific context.

This study developed a hierarchical structural model that reveals the contextual interrelationships between 14 notable barriers to SME involvement in public procurement, based on evidence from the publicly funded healthcare sector in the UK. The data were analyzed using interpretive structural modeling (ISM) and matrix impact of cross-multiplication applied to categorization (MICMAC).

The results systematically classify barriers based on their hierarchical relationships, offering a robust theoretical foundation for understanding their nature and interconnections.

The findings can help scholars, government administrators and politicians in government-funded healthcare systems determine the most influential barriers to SME involvement and their causes, enabling them to build viable remedies.

This is the first empirical study to examine the relationship between the barriers to SMEs' public health procurement, using evidence from the public health procurement context.

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.

The concept of interestingness has been investigated in several management disciplines but studies mobilizing such concept in supply chain management (SCM) to develop strategies for the field's advancement are relatively scarce. This research paper aims to investigate how SCM scholars rank attributes of interestingness and the strategies to harness interestingness in the field of SCM.

The authors adopt a mixed methods research design in which a survey on SCM researchers' ranking of interestingness' attributes and qualitative interviews with selected academics are conducted.

The findings highlight the importance given by SCM scholars to attributes such as rigor, relevance, novelty and communication and how they are interrelated. Also, other interestingness attributes are underlined by scholars during the qualitative interviews including inquisitiveness, engaging the reader, imaginativeness and entertainment. Furthermore, a research agenda to synthesize the propositions to develop interesting research is also proposed.

Interestingness attributes such as rigor, relevance and novelty are discussed. Recommendations for interesting research are suggested which can be useful to scholars and journal editors. The findings of this research are also relevant for practitioners for a better understanding of academic/practice relationships to develop high impact collaboration.

This paper is among the few studies that focus on interestingness in SCM research from the perspective of scholars. In doing so, the authors seek to contribute to the classic debate in SCM field about “relevance-rigour” duality by providing a broader outlook based on interestingness and proposing a research agenda for prospective studies in the field.

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.

This paper aims to provide and empirically test a conceptual model in which artificial intelligence (AI), knowledge management processes (KMPs) and supply chain resilience (SCR) are simultaneously considered in terms of their reciprocal relationships and impact on manufacturing firm performance (MFP).

In the study, six hypotheses have been developed and tested through an empirical survey administered to 120 senior executives of Italian manufacturing firms. The data analysis has been carried out via the partial least squares structural equation modelling approach, using the Advanced Analysis for Composites 2.0 variance-based software program.

Using a conceptual model validated using an empirical survey, the study sheds light on the relationships between AI, KMPs and SCR, as well as their impacts on MFP. In particular, the authors show the positive effects of the adoption of AI on KMPs, as well as the influence of KMPs on SCR and MFP. Finally, the authors demonstrate that KMPs act as a mediator through which AI affects SCR and MFP.

This study highlights the critical role of KMPs for manufacturing firms that can deploy AI to stimulate KMPs and through attaining a high level of the latter might succeed in enhancing both their SCR and MFP.

This study demonstrates that manufacturing firms interested in properly applying AI to ameliorate their performance and resilience must carefully consider KMPs as a mediator mechanism.

The COVID-19 pandemic has caused major disruptions and revealed the fragilities in supply chains. This crisis has re-opened the debate on supply chain resilience and sustainability. This paper aims to investigate distinct impacts of COVID-19 on supply chains. It identifies both short- and medium-to-long-term measures taken to mitigate the different effects of the pandemic and highlights potential transformations and their impacts on supply chain sustainability and resilience.

To address the purpose of the study, a qualitative research approach based on case studies and semi-structured interviews with 15 practitioners from various supply chain types and sectors was conducted. Studied organizations included necessary and non-necessary supply chain sectors, which are differently impacted by the COVID-19 pandemic.

This study reveals five main challenges facing supply chains during COVID-19, including uncertain demand and supply, suppliers' concentration in specific regions, globalized supply chains, reduced visibility in the supply network, and limited supplier capacity. To help mitigate these challenges and develop both sustainability and resilience, this paper identifies some mitigating actions focusing on the promotion of the health and wellbeing of employees and supply chain stabilization. Further, in the post-COVID era, sustainable and resilient supply chains should consider regionalization of the supply chain, diversification of the supply network, agility, collaboration, visibility, and transparency; and should accelerate the use of smart technologies and circular economy practices as dynamic capabilities to improve supply chain resilience and sustainability.

This study contributes to exploring the sustainability- and resilience-related challenges posed by the COVID-19 pandemic. Its findings can be used by researchers and supply chains decision-makers to limit disruptions and improve responsiveness, resilience, sustainability, and restoration of supply chains. The results support benchmarking through sharing of the best practices and organizations can also integrate the different capabilities discussed in this study into the processes of selection and auditing of their suppliers.

The purpose of this research is to shed light on illegal supply chains (ISCs) and the factors (enablers) behind their emergence using data on the grain supply chain in Ukraine.

A two-step methodology was adopted. First, documentary sources (including press articles, published papers, reports and grey literature) on grain ISCs in Ukraine were analysed using the Fraud Diamond theory with the aim of identifying the main underlying issues. Second, interviews with experts were conducted to elaborate on the propositions regarding ISC design and enablers.

The findings revealed the existence of two ISCs in Ukraine: the fraudulent grain and looted-grain supply chains (SCs). We propose an integrative ISC framework based on a combination of Fraud Diamond theory components (pressure, opportunity, rationalisation and capability) and SC network design elements (formalisation, centralisation, complexity and density). We suggest that ISCs in conflict regions emerge owing to geopolitical instability and lack of logistics optimisation and provide several propositions for further research.

This research contributes to the literature on ISCs by offering a nuanced understanding of their design and enablers. It underscores the impact of geopolitical disruptions on ISC operations and highlights how factors such as logistical inefficiencies, bottlenecks and infrastructural weaknesses facilitate the activities of these illicit networks. This study provides valuable insights beyond the context of the Russia–Ukraine conflict, offering broader applicability to other scenarios where disruptions – whether geopolitical, economic or environmental – expose SC vulnerabilities.

The results of this study can be informative for government authorities and policymakers in formulating measures aimed at addressing illegality in SCs.

This study is the first to investigate ISCs in conflict areas by analysing the case of the grain SC in Ukraine. This study provides a solid foundation for future research on ISCs with similar characteristics.

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.

Along with rapid development in the green supply chain fields, questions have been raised about the direct effects of internal and external drivers. Recent evidence suggest that organizational culture is a prerequisite for the understanding of green supply chain management (GSCM). However, there has been limited examination of organizational culture in the green supply chain research area. The purpose of this paper is to understand the relationship between green supply chain management (GSCM) and organizational culture.

To do so, a bibliometric analysis is carried out. The search was conducted in the Scopus database by using different keywords. The records found were scanned and refined bringing the total number of documents to 46. A descriptive analysis covering influential authors, leading journals, contributing organizations and most popular words used in titles and keywords, using the Biblioshiny app, followed by a content analysis have been conducted.

The findings show the following: most of the influential studies were conducted by only a few researchers. The publications within the field started to increase during 2012–2020. It is worth mentioning, that the USA and UK universities have a strong research contribution among all, and there are seven core publishing journals that lead the field such as cleaner of production and sustainability. The content analysis revealed some aspects and shed light on two main topics: organizational culture as a driver or a barrier toward GSCM; and the organizational culture contribution role on the impact of GSCM on performance.

This paper only addresses GSCM with organizational culture based on a small sample of papers. Furthermore, this study needs to be expanded with empirical research on the topic. It would be interesting to assess the effects of national culture within the same research area. More broadly, researchers may also need to explore the various databases instead of focusing only on Scopus database case of this paper, using various keywords.

This study plays an important role for managers and firms, and also this study is contributing in increasing the understanding of the role of cultural factors on implementing the GSCM practices and getting the highest benefits from it.

This paper holds significant contribution for scholars, especially for those who are interested in cultural issues within the management field, and for managers by enlightening a critical element to concentrate on for the betterment of green sustainability within their firms. Considering this, future research suggestions are identified.

This paper aims to draw on the dynamic capabilities approach and aims to empirically investigate the impact of supply chain finance (SCF) on firm performance (e.g. operational risk and operational performance), the critical effect of environmental dynamism (ED) as moderator and supply chain risk (SCR) and a mediator in the relationship between SCF and organizational performance (OP).

This study is based on empirical data collected from a survey of 210 companies and their supply chains in mainland China. Structural equation modeling is used to test the proposed relationships.

The findings show that SCF significantly mitigates the SCR, which subsequently has a significant positive effect on OP (e.g. operational risk and operational performance). The findings also show that when ED is high, the relationship between SCF and SCR is stronger and vice versa. Moreover, SCR mediates the relationship between SCF and OP. The hypothesis regarding the moderating effect of ED on the paths joining SCF and SCR was also supported. SCR has a significant negative effect on OP. However, the hypothesis regarding the effect of ED on SCR was not supported.

This study has some limitations. First, this paper conducted the research with Chinese organizations. This may result in low generalizability in other contexts. In addition, this paper used the survey method and cross-sectional data design in this study, which may generate the potential issue of common method bias. However, the findings of this study will help organizations across China and other emerging economies to adopt SCF as a secure financing mechanism to enhance working capital and mitigate risk. In addition, the paper provides some new managerial insights for decision-makers in organizations, while exploring different factors such as SCF, SCR and ED and their effect on the organization.

This study has greatly developed a general SCF adoption model that helps to guide empirical research investigating the critical impact of SCF on firm performance.