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The study examined the influence of small and medium enterprise (SME) owner-managers' managerial competencies on supply chain performance, the mediation role of information quality on the SME owner-managers' managerial competencies and supply chain performance relationship, the mediating role of information quality on the information sharing and supply chain performance relationship and the mediating role of both information sharing and information quality on SME owner-managers' managerial competences and supply chain performance relationship.

Data were collected from SME agro-processing firms. The determined sample size for the agro-processing firms was 200, while an effective sample size of 177 was obtained. The Covariance Structural Equation Modelling software was used to obtain results on the influence of SME owner-managers' managerial competencies on supply chain performance, the mediation role of information quality on the SME owner-managers' managerial competencies and supply chain performance relationship, the mediating role of information quality on the information sharing and supply chain performance relationship and the mediating role of both information sharing and information quality on SME owner-managers' managerial competences and supply chain performance relationship.

Findings indicated that a positive significant influence of SME owner-managers' managerial competencies on supply chain performance and the presence of partial mediation effects when the mediating role of information quality in the SME owner-managers' managerial competencies and supply chain performance relationship and the information sharing and supply chain performance relationship is tested. Also, a partial mediating role of information sharing and information quality is obtained in the SME owner-managers' managerial competencies and supply chain performance relationship.

The study mainly focused on SME agro-processing firms eliminating other SME manufacturing firms. Also, the research employed a wholistic approach when studying the SME agro-processing firms without focusing on how SME owner-managers' managerial competencies would affect information sharing, information quality and supply chain performance based on the market type (local or foreign) and the source of raw materials (local or foreign) and the impact of information sharing on information quality hasn't been given significant attention in the existing literature.

The research focused on the mediation role of quality of information shared by SME owner-managers in the relationship between information sharing and supply chain performance, the mediating role of information quality in the SME owner-managers' managerial competencies and supply chain performance and the mediating role of both SME owner-manager's information sharing and quality of information shared in the relationship between SME owner-managers' managerial competences and supply chain performance. These mediation effects haven't been given significant attention in previous research. Further, while information sharing and information quality have been studied, they have been studied at a supply chain level, not at a managerial level.

This paper aims to contribute to the debate about the value of blockchain for supply chain management by assessing empirical evidence on the relationship between blockchain and supply chain performance.

The authors conducted a structured review of the academic literature to identify and assess papers providing empirical insight on operational blockchain applications. The authors complement the findings from this review with primary empirical data from 11 interviews with blockchain providers, users and experts involved in four recent projects.

The paper presents an integrated research framework that illustrates the impact of blockchain on supply chain performance. The findings highlight that blockchain can affect supply chain performance directly – via one of its core technological features – and indirectly via the broader business project through which blockchain technology is implemented.

Insights from this paper should provide managers with a more nuanced understanding of how blockchain technology can be leveraged to address important supply chain management challenges.

Prior research addressing the relationship between blockchain and supply chain performance mostly discusses potential performance effects of blockchain, presents individual blockchain applications and/or provides little explanation for how the core technological features of blockchain affect supply chain performance. This paper systematically assesses the ways in which blockchain can affect supply chain performance. In doing so, it goes beyond the initial hype around blockchain technology while countering some of the more recent critiques.

This paper explores the interaction and impact of political disruptions on textile supply chain performance in Pakistan. A qualitative approach is adopted to explore the linkages and relationships between political disruptions and supply chain disruptions and performance. Semi-structured interviews were conducted at 25 different textile manufacturing firms. This study confirmed the prevalence of severe and variegated impacts of political disruptions on the textile supply chain. Supply chain disruption is found to be a key mediating factor that directly and indirectly affect supply chain performance through an increased production and delivery lead-time, transportation delays, interruptions of raw material supplies to plants and distributors and the restricted access to workplaces for suppliers and workers. The linkages are represented through vicious circles that illustrate the interactions and inter-relationships between disrupted supply chain and performance. This study provides empirical evidence to help government to formulate pertinent labour laws and industrial policy to mitigate political disruptions and minimise deleterious effects of supply chain disruption on production and distribution networks whilst respecting and protecting the democratic rights of people.

Based on a sample of 308 enterprises, this paper studies the determinants of export organic supply chain performance. The results indicate seven positive determinants that influence positively the supply chain performance, including: (i) need-satisfying ability (NSA), (ii) relationship management, (iii) information management, (iv) quality management, (v) coordination and cooperation mechanisms, (vi) operation management, and (vii) marketing strategy of the export organic supply chain. In contrast, the differentiated segmentation strategy and cost strategy have no impact on the export organic supply chain performance.

We examine how design and implementation practices for supply chain performance management that have proven successful in commercial organisations apply to humanitarian organisations (HOs) to guide the process of designing and implementing performance management in humanitarian organisations.

We identify from the literature ten successful practices regarding the design and implementation of supply chain performance management in commercial businesses. We apply these, using action research over a four-year period, at Médecins sans Frontières (MSF) Belgium and draw conclusions from this.

We find that tools and techniques, such as workshops and technical sheets, are essential in designing and implementing supply chain performance measurement projects at HOs. Furthermore, making a link to an IT project is crucial when implementing performance measurement systems at HOs. Overall, our case study shows that performance management practices used in business can be applied and are relevant for humanitarian supply chains.

Previous research has argued that there are few empirical studies in the domain of performance management at humanitarian organisations. To the best of our knowledge, this paper is the first to provide a longitudinal understanding of the design and implementation of supply chain performance measurement at HOs.

This paper presents the concerns in manufacturing supply chain. Further this study investigates the role of information technology (IT) and information sharing (IS) in manufacturing supply chain and determines its impact towards supply chain integration (SCI), supply chain performance (SCP), and manufacturing firm performance (FP) in Malaysia. The theoretical framework was proposed for the study on the basis of existing literature. The study administered a survey questionnaire to collect data from manufacturing firms in Malaysia with 112 respondents. A multiple regression analysis is conducted to establish the relationship between IT, IS, SCI, and FP. The study finds that IT and sharing has significant positive effect towards and performance. Firms that use IT and practice IS across partners in the supply chain are more likely to integrate their internal and external value chain for better performance both within and across the manufacturing firms in the supply chain. This study can be of interest to the manufacturing industry as well as other industry practitioners interested in improving the performance of the organization and supply chain in total. For supply chain practitioners, this results indicate that the firms should adopt IT and IS practices to strategically improve SCI. This in turn will also improve the supply chain network and firm’s performance. This study employs a newly developed framework which depicts the causal relationship between IT, IS, SCI, Supply Chain Performance, and FP in Malaysia. Furthermore, it closes a gap in existing literature by examining the effect IT and communication (ICT) practices toward manufacturing firms’ performance and SCP in a single setting. In addition, the current study attempted to construct a model which would estimate and interpret SCP and FP simultaneously, and to evaluate this model in an empirical fashion.

Big data analytics (BDA) capabilities can affect supply chain performance in several ways. The main purpose of this study was to understand how BDA capabilities could affect supply chain performance through supply chain resilience and supply chain innovation.

The study adopted a cross-sectional approach to collect survey-based responses to examine the hypotheses. Accordingly, 187 responses were collected and analyzed using partial least squares (PLS) in the SmartPLS3.

The results showed that BDA capabilities improve supply chain performance through resilience and innovation of the supply chain.

The present study also contributed to the existing literature by demonstrating the mediating role of supply chain resilience and supply chain innovation between BDA capabilities and supply chain performance. In this context, some theoretical and managerial implications were proposed and discussed.

Agri-food firms face many challenges when assessing and managing their performance. The purpose of this research is to determine important factors for an integrated agri-food supply chain performance measurement system.

This research uses the Peruvian kiwicha supply chain as a meaningful context to examine critical factors affecting agri-food supply chain performance. The research uses interpretative structural modelling (ISM) with fuzzy MICMAC methods to suggest a hierarchical performance measurement model.

The resulting kiwicha supply chain performance management model provides insights for managers and academic theory regarding managing competing priorities within the agri-food supply chain.

The model developed in this research has been validated by cooperative kiwicha associations based in Puno, Peru, and further refined by experts. Moreover, the results obtained through ISM and fuzzy MICMAC methods could help decision-makers from any agri-food supply chain focus on achieving high operational performance by integrating key performance measurement factors.

The main streams of the supply chain are defined as material, information and financial flow. There have been many studies and practical cases regarding the flow of material and information including information sharing. However, financial flow related studies have not been widely examined relatively, compared with their importance.

The information sharing is recognized as the method that can reduce the Bullwhip effect in supply chain management. The author intends to analyze the impact of financial information sharing on the results of the supply chain.

In the point of supply chain risk management view, the author examined the impact of financial flow among the various factors that can impede the stability of the supply chain.

In this study, the author embodied the simulation regarding the impact of financial information flow on supply chain performance and stability based on the system dynamics methodology and analyzed the performance.

Assuming the supply chain, composed of supplying company, manufacturing company and sales company , the author embodied the simulation model and assumed that working capital and cash information sharing were achieved. The author embodied the model to affect the settlement conditions according to the results of financial information sharing.

This study aims to evaluate the adoption of four types of supplier sustainability risk management (SSRM) strategies, namely, risk avoidance (RA), risk acceptance (RAC), collaboration-based risk mitigation (CBM) and monitoring-based risk mitigation (MBM) in Sri Lankan apparel and retail industries, and to investigate their effect on supply chain performance (SCP).

This study uses the dynamic capability view (DCV) to develop its hypotheses. Data collected from 89 firms were analysed using partial least square (PLS) structural equation modelling and PLS-based multiple group analysis.

Sri Lankan apparel and retail firms adopt RA and MBM strategies relatively more than CBM and RAC strategies, whereas there is no significant difference between the two industries in terms of the use of SSRM strategies. The path analysis revealed significant effects of RA and RAC strategies on SCP of both industries. The effect of CBM strategy on SCP is moderated by industry, while MBM has no significant impact.

While managing supplier sustainability risks effectively, RA and RAC strategies provide more opportunities for managers to improve SCP. In achieving SCP, CBM strategies are proven to be more effective for retail industry compared with the apparel sector. Although MBM strategies offer sustainability advantages to firms, their contribution to improving the performance of apparel and retail supply chains is not significant. This research is limited to only two industries (apparel and retail) in Sri Lanka, where the evidence for the effects of SSRM strategies is not available for other contexts.

Either the effects of the four types of SSRM strategies on SCP or the moderating effect of industry on these effects have not been empirically confirmed in the literature. Evaluating the extent to which different strategies are implemented in Sri Lankan apparel and retail industries is another significant contribution of this research. Furthermore, this study contributes by using DCV to a sustainability-based supply chain risk management research.