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This paper aims to systematically expound the theory and development background of supply chain finance and blockchain, design a railway freight supply chain financial platform based on blockchain, determine the risk management system and business support system of supply chain finance business and analyze the value generated by the combination of supply chain finance business and blockchain.

Investigation and research method; Prototype method; Model method; Value analysis.

The business model integrating supply chain finance and blockchain technology will bring great changes to freight industry. The development of supply chain finance is beneficial to the healthy development of the core participants of railway freight transport business and its upstream and downstream ecosystems. It links commerce, logistics, warehousing and financial services together and builds an industry-integrated ecological service platform through information technology platform and supporting system, taking data as the basis and combining information technology such as blockchain as innovative means.

This paper will provide important reference value for related research. This paper innovatively designs the supply chain financial platform of freight transportation industry-integrating blockchain technology and analyzes its business model, technical system, risk management and control system and value system in detail, which will provide technical support for the innovative reform of freight information technology and realize the stable and high-speed development of freight logistics informationization.

Minimizing the impact on the surrounding environment and maximizing the use of production raw materials while ensuring that the relevant processes and services can be delivered within the specified time are the contents of enterprise supply chain management in the green financial system.

With the continuous development of China's economy and the continuous deepening of the concept of sustainable development, how to further upgrade the enterprise supply chain management is an urgent need to solve. How to maximize the utilization of resources in the supply chain needs to be realized from the whole process of raw material purchase, transportation and processing.

It was proved that digital twin technology had a partial intermediary role in the role of supply chain big data analysis capability on corporate finance, market, operation and other performance.

This paper focused on describing how digital twin technology could be applied to big data analysis of enterprise supply chain under the green financial system and proved its usability through experiments. The experimental results showed that the indirect effect of the path big data analysis capability digital twin technology enterprise financial performance was 0.378. The indirect effect of the path big data analysis capability digital twin technology enterprise market performance was 0.341. The indirect effect of the path big data analysis capability digital twin technology enterprise operational performance was 0.374.

This study aims to provide a literature review and bibliometric analysis of sustainable supply chain management using big data. We reviewed the literature on sustainable supply chain management under big data from 2012 to 2019 and extracted 777 articles.

We conducted quantitative analysis and data network visualization of the chosen literature, including authors, journals, countries, research institutions and citations.

We discovered that the development of this interdisciplinary field has gained increasing popularity among researchers around the world, such as China and the US publishing the most articles and Western states having more cooperation, which indicates this research topic is growing in significance globally.

Scientific and technological revolutions such as big data have been incorporated in various industries. Modern supply chain management has also been combined with the advances in data science to achieve sustainability goals. No studies have reviewed the sustainable supply chain management based on big data. This study fills this gap.

The purpose of this paper is to give some theoretical suggestions and practical approaches in support of the implementation of “cluster supply chain” (CSC), which is a new management paradigm and enhances the competitiveness of small and medium enterprises (SMEs) through integrating the advantages of supply chain and industrial cluster.

A case study of cluster supply chain is carried out applied to JingCheng Mechanical and Electrical Holding Co. Ltd (JCH), which explains the advantages and challenges of implementing the new business pattern. Data presented and analyzed include pre‐CSC and CSC performance of participants.

The paper clarifies the following questions: When do small firms use cluster supply chain to run a business? How do small firms use cluster supply chain? What effects does the application of CSC strategy have on SMEs' competitive performance?

The application of CSC strategy can help SMEs to face the global challenges through all kinds of collaborations. Meanwhile, core enterprises can also extend their business at a lower cost by means of this business pattern.

This paper bridges the gap between academic theoretical studies and practical realization through the case study of JCH, which can encourage and lead to managerial ideas and insights to service system realization and avoid deficient or erroneous grounds in the planning, implementation and evaluation of cluster supply chain.

The purpose of this research paper is to present a performance measurement system for enterprise networks (PMS‐EN) developed within the context of a European project's context.

This research follows a constructivist approach, based on the following activities: recompilation, analysis and study of scientific knowledge, acquisition of main postulates and construction of initial framework.

This paper describes a performance measurement system called PMS‐EN that can be used for managing performance in the enterprise networks context. After analysing different frameworks relating to such a thematic, and once their main weaknesses were identified, it was decided to develop a PMS that will overcome these difficulties and, at the same time, provide enterprises operating within these environments, with a simple, efficient, robust and useful framework.

This PMS has been built upon the framework called PMS IE‐GIP, but thought could be given to building it upon other frameworks existing within the literature.

Even though this proposal has been successfully applied to an enterprises network, it should be tested further by implementing it to other enterprises networks, with the main objective of enriching and extending it to other sectors.

This paper has described a new performance measurement system called PMS‐EN that can be used for managing performance in the enterprise networks context. It provides enterprises operating in this context a simple, efficient, robust and useful framework. Additionally, it is an efficient and effective tool for creating, managing and monitoring performance measures, in an analytical and graphical way, at both global and individual levels of the enterprise networks, which is lacking in most of the existing frameworks.

A majority of citizens in the developing world rely upon self‐employment and micro‐enterprise operations as their primary and only source of income. The purpose of this paper is to examine how micro‐enterprise owners in the developing world can improve their standard of living by better managing their supply chains.

By relying upon case‐study methodology, propositions are derived.

Such propositions should provide direction to activists and governments in raising the productivity of such enterprises, hence reducing poverty.

Examining the relevant literature in relation to field observations helps identify a number of important issues which need to be examined further by academicians.

The purpose of this research is to show that small or medium enterprises (SMEs) have significant impacts on supply chain performance. They may take the roles of suppliers, producers, distributors, and customers. In this paper large firms and SMEs are compared in terms of strategic and operational choices.

SMEs are classified on two dimensions – chain relationship position and strategic focus. Four types of SME characteristics are discussed: efficiency, coordination, collaboration, and innovation. Also presented are the five possible growth paths of SMEs, along with theoretical and managerial implications.

The theoretical contribution of this paper to the nature of SMEs and their supply chain relationships is threefold: the differences between large enterprises and SMEs have been examined in terms of key management practices; key characteristics of four types of SMEs have been identified in terms of their supply chain relationship position and strategic focus; and the transition paths that SMEs may follow in moving from one type to another have been shown. The models presented in this paper give an informed insight and understanding of the dynamic changes that can transform SMEs within their supply chain relationships.

The growth paths that have been outlined for SMEs display diverse patterns. In view of the sheer numbers of SMEs that comprise the global economy, and their strategic roles as suppliers, component manufacturers, service providers, and distributors, their growth patterns may not be easily discernible over a short time period.

Managerial implications of the study include: SME executives may diagnose their current business position and strategically plan intended changes by enhancing their operational capabilities and chain relationship positions, in view of changing market realities; most importantly, they may strive to take practical steps to evolve from Efficiency SMEs all the way to Innovation SMEs. The road‐map presented in this paper may be helpful in benchmarking current operations and in planning future transitions. In this way, SME management may take practical steps to implement desirable growth paths through appropriate management practices that utilize appropriate intra‐ and inter‐organizational capabilities.

These SME growth patterns provide a useful framework for meaningful case studies that illustrate the potential for the dynamic transformation of SMEs.

The concept of supply chain is about managing coordinated information and material flows, plant operations, and logistics. It provides flexibility and agility in responding to consumer demand shifts without cost overlays in resource utilization. The fundamental premise of this philosophy is; synchronization among multiple autonomous business entities represented in it. That is, improved coordination within and between various supply‐chain members. Increased coordination can lead to reduction in lead times and costs, alignment of interdependent decision‐making processes, and improvement in the overall performance of each member as well as the supply chain. Describes architecture to create the appropriate structure, install proper controls, and implement principles of optimization to synchronize the supply chain. A supply‐chain model based on a collaborative system approach is illustrated utilizing the example of the textile industry.

Despite the growing and widespread importance of exploring the primary factors facilitating global value chain (GVC) and supply chain management, this topic has received surprisingly little attention to date. Drawing upon the technology–organization–environment framework and the resource-based view, this study aims to fill these important gaps in the literature by theorizing and developing a comprehensive model to explain how a foreign subsidiary of multinational enterprises can improve the upgrading of the GVC and supply chain performance in a host market.

Using survey data collected from 266 foreign subsidiaries of multinational enterprises operating in the Chinese manufacturing sector, this study empirically examines the theoretical framework using a structural equation modeling approach.

The results demonstrated that the relative advantages of digital technology, supplier diversification and environmental uncertainty all contribute positively to the development of foreign subsidiaries’ supply chain management capabilities. Meanwhile, supply chain management capability plays a positive role in foreign subsidiaries facilitating GVC upgrading and enhancing supply chain performance.

The findings of this study provide many important implications and useful insights to foreign subsidiaries operating in an emerging host market by concentrating on how to develop and maintain their competitive advantages in the process of GVC reshaping and supply chain restructuring.

This study provides a useful guide to help firms better understand how they may develop and enhance their competitive advantages in upgrading their GVCs and implementing supply chain restructuring. In addition, this research generates important policy implications considering the recent trend toward creating more effective and sustainable global supply value chains.

This study empirically investigates how ambidextrous innovations and their balancing affect the supply chain financing performance (SCFP) of small and medium-sized enterprises (SMEs), based on signaling theory. Moreover, this study explores the moderating effect of the breadth and depth of digital technology deployment on the relationship between ambidextrous innovations and the SCFP of SMEs.

A mixed-methods design is used, including a qualitative study and a quantitative study. Qualitative data have been collected from six multi-cases in different industries. Questionnaire data have been collected from 259 SMEs in China, and a multiple regression model is used to verify the research hypotheses.

The findings indicate that, in supply chain financing, both exploitative innovation and exploratory innovation are helpful in improving the SCFP of SMEs. For resource-constrained SMEs, a relative balance between exploitative innovation and exploratory innovation can help improve SCFP. The breadth of digital technology deployment can strengthen the relationship between exploitative innovation and SCFP, while the depth of digital technology deployment can weaken the relationship between exploratory innovation and SCFP. In addition, increasing the depth of digital technology deployment strengthens the positive correlation between the relative balance of ambidextrous innovations and SCFP.

To effectively obtain supply chain financing, SMEs can either concentrate their limited resources on a single type of innovation or use relative balance strategies to simultaneously pursue two innovations. In addition, in the process of obtaining supply chain financing by ambidextrous innovations, SMEs should appropriately deploy digital technologies.

This study first deconstructs the impact mechanism of ambidextrous innovation capabilities on SCFP based on signaling theory, and then discusses the balancing effect of ambidextrous innovations on SCFP in the cases of resource-constrained SMEs. This study also goes further and finds the negative moderating effect of digital technology deployment in the process of supply chain financing.