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Although small- and medium-sized enterprises (SMEs) play major roles in most economies in terms of job creation, innovation and contribution to national income, they are often underrepresented in public procurement markets. This paper aims to explore how the dynamic capabilities theory can improve SME participation in public procurement.

Through a systematic literature review, the paper identifies common barriers to the effective participation of SMEs in public procurement and explores the applicability of the dynamic capabilities theory in addressing these barriers.

A theoretical analysis was conducted to identify possible relationships between the factors reported in the literature as barriers to SME participation in public procurement and different components of the dynamic capabilities of firms (i.e. sensing, seizing, reconfiguring and learning). Seven key propositions were generated to guide future research.

Despite its contributions, this paper is based solely on a systematic literature review and theoretical analysis. Future studies could use meta-analysis to review multiple studies relating to the nexus between SMEs and public procurement, hence improving methodological rigour.

The paper contributes to the ongoing debate about whether and how SMEs can leverage their resources and capabilities to develop self-help strategies to improve participation in public procurement, an area yet underexplored in the literature.

This is one of the few studies examining the implications of firm-level capabilities of SME activity in public procurement markets. The findings may be beneficial to SME managers/owners, particularly regarding firms' ability to leverage resources and capabilities to participate effectively in public procurement.

This study aims to examine the causes of small and medium-sized enterprises (SMEs) disinclination towards subcontracting in public sector markets. Previous studies have revealed that UK SMEs are reluctant to do business with the public sector through the subcontracting route, but the reasons for this lack of enthusiasm have not been widely researched.

Drawing on semi-structured interviews with SMEs competing for public contracts in North West England, a qualitative study was performed, from which several themes emerged.

The findings were synthesised into a framework underpinned by attribution theory, to portray situationally and dispositionally caused factors that were used to interpret SMEs’ behaviour.

The findings can guide policy development and government interventions in developed and developing countries, aimed at using public procurement as a policy tool to develop the small business sector.

This paper contributes in a unique way to an emerging discourse on how subcontracting can facilitate the access of SMEs to government procurement spending. It adds to knowledge regarding the explanatory power of attribution theory – from its base in social psychology.

This paper seeks to explore, summarize, and interpret the existing literature linking green supply chain management (GSCM) to culture. To achieve this goal, three main questions are answered: (1) How culture has been linked to GSCM in prior works? (2) What are the general problems exposed? (3) What gaps to detect?

A systematic literature review related to culture–GSCM was conducted. The review combines descriptive and content analysis of 46 academic peer-reviewed English papers from 30 international journals.

Around 90 percent of the articles are empirical papers, only 10 percent are conceptual papers. These papers systematically focused on two issues: the largest number deal with the organizational culture–environmental practices, then national culture–environmental practices. The GSCM–culture relationship underlines contrast findings stemmed from various factors, levels of analysis, different sample, research design, contexts, and so on. Among the results, a conceptual model is developed, allowing suggestions for future research.

This review is limited by the environmental practices of SCM raised in the literature, excluding corporate responsibility or ethics researches. This study may not be exhaustive and expose all papers in the field, but it does definitively assess a wider number of papers available and to which access is provided. Future researchers empirically test the conceptual model proposed toward more clarifications.

This paper provides managers with an extra element to take into consideration while accustoming with GSCM, which is better understanding the role and the sensitivity of cultural values in order to harmonize with the changes.

This paper had extended the prior reviews to add recent and new papers. It does not only update the understanding related to culture–GSCM but goes beyond that to propose a multidisciplinary model theorizing the existing links and calling for ultimate investigations for the detected gaps.

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 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.

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.

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.