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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.

Currently there is no universally accepted approach to supply chain risk management and assurance. To begin to shed more light on the practical operational challenges presented when considering supply chain risk mitigation through the sharing of information, this paper discusses the results of an empirical study conducted with manufacturing supply chain professionals. The study examines state-of-the-art challenges to managing risk in today's supply chains by reporting on data collected in 2021.

To develop a rich picture of the challenges of information sharing in multi-tier supply chains, the authors adopted a qualitative research design. The authors conducted 14 interviews with supply chain professionals and ran two focus groups that were industry specific: one focused on the nuclear industry and the other on automotive.

The study identifies contemporary practical challenges to information sharing in supply chains – specifically challenges related to data quality and the acceptance of sub-optimal normative supply chain practices, which have consequences for supplier assurance fatigue and supply chain transparency.

The topical and contemporary study shows how an acceptance of the normative practices of a supply chain can have a cumulative effect on the likelihood of supply chain disruption due to shortcomings in approaches to information sharing. The notion of the acceptance of the status quo in this context has received limited research attention, and hence offers an extension to current discourse on supply chain risk and resilience.

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.

Manufacturing organizations and networks are heavily dependent on the flow of information within and across organization boundaries. A disruption in information flow might interrupt the operations of the organization and make management even more difficult. The purpose of this paper is to incorporate information theory approach to investigate the perturbation introduced into a manufacturing organization as a result of disruption in the flow of critical information needed in manufacturing operations.

This study proposes the use of entropy theory to assess the level of risk introduced by different sources of perturbation into the material flow stream and the use of discrete event simulation to investigate the impact of the resulting disruption on collaborating members.

The result of the analysis carried out on the effect of system failure on supply chain performance revealed that the retailer experiences the most uncertainty in the supply chain while the holding cost constitutes the most unpredictable cost measure when a system failure breach occurs. For the manufacturer and wholesaler, the holding cost is responsible for most of the uncertainty in predicting the impact of the threat on inventory management cost, while the backlog cost holds the highest complexity level for the retailer.

Once this methodology is well developed for use in industrial networks, it can serve as a risk assessment, risk monitoring and risk prediction tool. The paper also calls for a proactive approach to disruption risk management.

This paper proposes a novel approach to assess the impact of information disruption, using entropy theory coupled with simulation methodology.