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Collaboration in supply chain networks (SCN) becomes extremely important for manufacturers seeking a sustainable competitive advantage. Such competitiveness depends on the SCN resources a manufacturing firm can allocate, the capabilities to identify and deploy these network resources effectively, and practices and applications the firm arranges for these resources. The purpose of this paper is to develop a conceptual framework that investigates the relationships between these network constructs and their influences on firm performance.

An extensive literature review of supply chain management was conducted to explicate why some manufacturers outperform others. A resource-based view, dynamic capability theory, and extended resource-based view were employed to develop a conceptual model that investigates relationships between the resources, capabilities, and practices of a SCN. The relationships were then examined to analyze their influences on firm performance. Several cases and practical examples were included in the study to give a better understanding of the conceptual research model. Various keywords were used in searching literature for the constructs of the research model. For example, “knowledge” and “supply chain network” were used to search the literature regarding the SCN intangible resources.

This study uses a conceptual model to identify SCN resources that are dispersed in the internal territory among different network members, SCN capabilities that are developed based on these network resources and lead to the firm’s competitive performance, and SCN practices used to acquire network resources and build network capabilities.

The conceptual model of SCN resources, capabilities, and practices needs further empirical validation.

The conceptual model provides a framework for managers to identify the critical resources, capabilities, and practices of a SCN that help a firm achieve sustainable competitive performance.

This research builds a comprehensive picture of relationships between a manufacturing firm’s strategic resources, capabilities, and practices in a SCN. It also provides a theoretical foundation for future research on developing instruments for resources, practices, and capabilities of a SCN and empirically testing the relationships among the appropriate constructs.

The purpose of this paper is to investigate how different logistics resources and resource patterns, such as logistics infrastructure, logistics location, logistics knowledge and logistics information, affect logistics capabilities and operational performance.

Based on data collected from 273 companies in China, this study examines impacts of individual logistics resource dimensions on resource integration capability, customer service capability and operational performance through contingency approach. Furthermore, three logistics resource patterns are identified and linked with resource integration capability and operational performance through configuration approach.

Contingency results show that different logistics resources have different impacts on resource integration capability and operational performance. Configuration results reveal that companies’ capabilities and operational performance vary for different logistics resource patterns: the high-uniform pattern has a better resource integration capability and operational performance than other patterns, while all logistics resource patterns have similar customer service capability levels.

Future studies should examine other resource capabilities and performance indicators of companies and extend this study to other countries and regions.

This study contributes to the logistics resource literature through empirically investigating relationships among logistics resources, resource integration capability and operational performance using contingency approach, and through identifying different logistics resource patterns based on configuration approach. The findings extend the logistics resource literature, particularly on research of logistics parks in China.

This paper aims to discuss characteristics of Korea’s system responses with a research framework of the structure, conduct and performance theory and explain the role of information, communication technologies (ICT) and Big Data from a technology-mediated control (TMC) perspective.

This study examines the contextual nature of Korea’s diagnostic, preventive and treatment efforts. Particular attention is paid to issues related to the effective use of Big Data analytics and its applications, reporting mechanisms and public safety measures. The research model defines key factors in assessing the effectiveness of Korea’s responses.

Findings of this research suggest: effective strategic planning and operational execution use well-tested and designed crisis-responsive manuals; linkage role of ICT/Big Data is prominent in trace, test and treat and participation (3T + P); and aggressive epidemic investigations require synergistic efforts of national and local government units, broad societal support and participation and contribution of global firms offering their domestic and global supply chain network capabilities.

The Korean Government's effective response experiences suggest the synergy of political, social, cultural and technological factors. Future studies may explore how personal privacy and public safety are both achieved in different social–cultural–political contexts (Ahn et al., 2020; Delgado et al., 2020; Sharma and Bashir, 2020). Other emerging organizational issues and international comparative studies are worth further investigation in future studies.

This case study suggests how to apply ICT capabilities for organizing a national response to the coronavirus pandemic (COVID-19) pandemic. Public and private partnership in the framework of sociotechnological synergy (i.e. integration of ICT and social orchestration) is essential for the 3T process. In support of public policy initiatives, global firms share their IT infrastructure and supply chain integration experiences to accommodate global-level crises like the COVID-19 pandemic.

This study extends the TMC framework to a national level. In the adapted TMC framework, the control source, control target and linkage mechanism are specified. Using TMC, this shows the dynamic roles of ICT/Big Data in Korea’s COVID-19 response experiences.

The impacts of the COVID-19 are rapid and enormous. Despite the controversial early policy decisions and the rapid rise of confirmed patients, the world has recognized Korea’s effective responses to the COVID-19 pandemic.

With the proliferation of e-commerce companies, express delivery companies must increasingly maintain the efficient expansion of their networks in accordance with growing demands and lower margins in a highly uncertain environment. This paper provides a framework for leveraging demand data to determine sustainable network expansion to fulfill the increasing needs of startups in the express delivery industry.

While the literature points out several hub assignment methods, the authors propose an alternative spherical-clustering algorithm for densely urbanized population environments to strengthen the accuracy and robustness of current models. The authors complement this approach with straightforward mathematical optimization and simulation models to generate and test designs that effectively align environmentally sustainable solutions.

To examine the effects of different degrees of demand variability, the authors analyzed this approach's performance by solving a real-world case study from an express delivery company's primary market. The authors structured a four-stage implementation framework to facilitate practitioners applying the proposed model.

Previous investigations explored driving distances on a spherical surface for facility location. The work considers densely urbanized population and traffic data to simultaneously capture demand patterns and other road dynamics. The inclusion of different population densities and sustainability data in current models is lacking; this paper bridges this gap by posing a novel framework that increases the accuracy of spherical-clustering methods.

The study aims to propose a circular economy-based reverse logistics (CERL) that emphasises the mediation effect of reverse logistics (RL) on sustainable resource commitment and financial performance.

The structural equation modelling (SEM) approach has been applied to analyse the data acquired through the survey method that included 113 vendors of automotive supplies of the 1st and 2nd levels.

The results confirm that CERL acts as an essential intervening entity between resources and financial performance. The findings of the study have provided research and development (R&D) opportunities for the industries to find alternative revenue streams and generate profit from resource investment whilst upholding environmental standards through reverse logistic practices.

Reverse logistic practices are the key components of a circular business model and a sustainable supply chain. The manufacturing companies need to explore critical enablers that can contribute to business productivity and financial growth.

The study has validated a CERL model that portrays the circular economy's resilient relationship with RL practices.

The purpose of this paper is to explore how the sourcing process of the electric sports car sector is changing with respect to competitive advantage, required capabilities and emerging opportunism.

The case study data collection covered the period from January till August 2017, which implies a total period of eight months. The empirical analysis implies a sequence of 20 conducted interviews with senior managers, team leaders and operational employees from various organizational departments and functions within Company A, various suppliers and experts from the automobile industry as well as primary and secondary literature.

This work makes a contribution to the operations capability literature. It highlights the important role that sourcing will play to achieving strategic advantage in the electric sports car segment. Four key operational capabilities are emerging in the operating model. The first links to “capacity” and the ability of suppliers to be locally based so that they can deliver high-quality products and services in the minimum time (optimizing the “time-value” configuration). The second is the “design” of the supplier network. The third relates to “supplier management.” Finally, the fourth capability relates to the ability of the firm to “integrate” and “align” their marketing and IT planning processes with their sourcing process.

Throughout the adaption of a sourcing framework and its extension to consider operational capabilities, the authors have begun to answer the research question of how the sourcing process for the supply of new electric powertrain components is being transformed. These initial findings, the authors intend to expand with more advanced case study work with the firm that will involve empirical modeling of process efficiency and inventory management.

The work closes the gap regarding the need for practical application tools, designed for process managers, who are being confronted by turbulent, unpredictable and fast moving technological-driven market environments. Although the sourcing framework was developed to test the impact of the electric mobility trend, it can likewise be applied for the sourcing of components in other fast changing environments as well.

The paper raises the issues of the social role of the smart city planners in providing city spaces to enable the servicing of electric vehicles and to assist their production by developing the skills, capacity and capabilities of local city populations which will be needed to sustain and scale up any locally based operating model of electric vehicle production and servicing.

Although much has been written about the technological challenges of electric vehicles and the rise of new entrants such as Tesla to challenge the dominance of the sports car manufacturer’s very little work to data have explored the business-to-business (B2B) dimensions. The focus has been largely with the business-to-consumers (B2C) market.

This paper examines how weak ties and strong ties in the supply chain network influence the financing performance of small and medium enterprises (SMEs) through the mediation of information sharing and innovation capability.

Questionnaires were administered to 208 financial managers responsible for supply chain finance in SMEs in China. Data analysis techniques used included multiple regression analysis and fuzzy-set qualitative comparative analysis.

The authors found that weak ties had a more substantial impact on the financing performance of SMEs than strong ties did. Information sharing and innovation capability played a mediating role between weak and strong ties and the financing performance of SMEs. In addition, information sharing and innovation capability complement each other and jointly influence the financing performance of SMEs.

SMEs are suggested to actively embed themselves in the supply chain network to increase financing opportunities and reduce financing costs. The authors also recommend SMEs to enhance the level of their information sharing in the supply chain network and take advantage of their network ties to access and adopt new technology from other organisations and conduct collaborative innovation with partner institutions.

The paper extends the authors’ understanding of supply chain finance by exploring the intrinsic mechanism of how various constructs (weak ties, strong ties, information sharing and innovation capability) in the supply chain network have an impact on the financing performance of SMEs. In particular, the authors explore the under-researched mediating effect of information sharing and innovation capability on the relationship between network ties and the financing performance of SMEs.

The purpose of this paper is to empirically examine capability connectivity, relationship alignment and the ability to informally network in the supply chain as determinants for better utilizing capabilities amongst supply chain partners. In particular, the paper focuses on how the above described determinants may impact on operational performance in the supply chain when responding to short‐lived demand requirements or highly dynamic markets.

A mixed research methodology is used, including a qualitative exploratory phase to confirm the relevance of the research question to the practitioner, followed by quantitative structural equation modeling, based on a sample of 231 supply chain professionals.

In total, four determinants of informal networking were derived: capability connectivity, describing the ability of supply chain partners to rapidly and informally integrate capabilities, such as IT, to service an ad hoc market requirement; relationship alignment or the ability to informally integrate resources across supply chain partners in the context of highly dynamic market situations; the informally networked supply chain itself, measuring the ability of supply chain partners to respond to transient opportunities in the context of highly dynamic markets; and finally operational performance which measures the effect informal networking has on company performance. Results show that informal coordination of supply chain activities influences operational performance in different ways, and most significantly impacts positively on operational efficiency through supply‐oriented informal networking. The study identified that industry rules and regulations have a significant impact on the propensity of supply chain partners to collaborate informally. Finally, it is also shown that relationship alignment between companies is an important factor to achieve both market‐ and supply‐oriented informal networking capabilities.

The management of industry rules, regulation, connectivity, and relationship alignment are significant antecedents for informal coordination of supply chain capabilities in business networks. The study shows positive effects of informal networking in supply chains on operational efficiency, and suggests that companies should strive to enable greater flexibility to connect with their trading partners without an abundance of idiosyncrasies. Furthermore, relationship alignment, in combination with process and IT connectivity, is significant in creating the foundation for informal networking in supply chains, in particular for supply‐related activities.

The paper adds a new concept, the informally networked supply chain, and shows that capability connectivity and relationship alignment may enable new alternative ways of coordinating supply chain capabilities to meet a specific market requirement. As such, it offers a new perspective in relation to flexibility and agility in the supply chain.

This paper draws on the perspective of social networks to examine when 3PLs initiate low-carbon supply chain integration (LCSCI) in decarbonising supply chains.

A questionnaire survey was conducted on a sample of 348 Chinese 3PLs. Stepwise regression was adopted to analyse the data.

It is found that LCSCI has a positive effect on firm performance. From the social network perspective, a larger scope of outsourcing increases 3PLs' embeddedness, which increases their chance of success in initiating LCSCI, especially for 3PLs with higher decarbonisation capabilities. Interestingly, although the pressure from government regulation can also motivate LCSCI, it is less effective for 3PLs with higher decarbonisation capabilities because they can be too embedded in the network to freely adapt to regulations.

This study has investigated 3PL-initiated LCSCI only from the view of 3PLs. A dyadic approach which includes the perception of customers would be desirable.

The results highlight the critical role of 3PLs as supply chain orchestrators in decarbonising supply chains, and the effectiveness of LCSCI as a competitive strategy of 3PLs. Coercive pressures from government regulations are not constraints but resources for 3PLs in initiating LCSCI, especially in markets where the 3PLs have insufficient decarbonisation capabilities.

This study contributes to theories on 3PLs' interorganizational low-carbon initiatives, LCSCI, and the paradox of social networks in supply chains.

This paper seeks to understand the significance of the various forms of logistical and technological differentiation as prerequisites for supply networking by introducing appropriate conceptual models and illustrative cases.

By studying the patterns of structural changes in 25 industrial companies, illustrated in four different positioning matrices, an empirical demonstration of the differentiation of logistical and technological capabilities is provided and compared with the trends observed in earlier studies of service industries and supply networks.

Considering the magnitude of changes of the logistical and technological capabilities observed in the case studies, differentiation has to be considered a precondition for – as well as a goal of – networking. More importantly, the conformance of the differentiation patterns of the capabilities and services that are embedded in the manufacturing supply chains with those of pioneering companies in service industries such as banking and retailing indicate that moves have been efficiency‐enhancing for both the individual companies and the portfolios of capabilities within the supply networks.

This paper proposes that companies in a supply network should focus first on developing a division of capabilities and finding the appropriate scale and scope of technological and organizational specialization through differentiation, and only then on building tighter inter‐firm collaboration by integrating operations and information systems. In that case integrative efforts in inter‐firm relations can produce chain‐wide benefits discussed at length in management literature.

This paper contributes to our knowledge on motivations of and obstacles for supply chain management by looking at the differentiation of capabilities relating to products and service strategies as well as technological and organizational specialization. In fact, the paper starts discussion at the junction where previous research has left off by concluding the need for focused provision of specific elements and mutually complementary competencies and capabilities.