Supply Chain Financial Model Research Articles

Blockchain-enabled supply chain finance model: a study of the dual-channel closed-loop supply chain of electronic products

Blockchain-enabled supply chain finance model: a study of the dual-channel closed-loop supply chain of electronic products

Credit risk contagion of supply chain finance: An empirical analysis of supply chain listed companies.

With the gradual rise of the supply chain financial model and the expansion of scale, credit risk and contagion effects are gradually strengthened as business and financial links between upstream and downstream enterprises in the supply chain. The traditional credit risk contagion assessment model based on the financial status of an enterprise and the pledging of fixed assets has been unable to meet the basic needs of modern supply chain companies and financial institutions for risk control. Therefore, this paper introduces the Cox-Copula model to comprehensively assess a company's financial situation and the business health of upstream and downstream companies in the supply chain from the perspective of actual transactions between companies and fixed asset pledges. The study found that credit risk has a contagion effect in supply chain enterprises, and this contagion effect of credit risk has certain dynamic characteristics. At the same time, it was found that the impacts of macroeconomic factors and microfinance factors on credit risk contagion of supply chain finance have differences in the two dimensions of degree and direction of action.

Research of Third-Party Logistics Supply Chain Finance Model of SF Express

Research of Third-Party Logistics Supply Chain Finance Model of SF Express

Green supply chain finance model in logistics and transportation industry: improving from policies and regulation and financial digitalisation practices

ABSTRACT This study contributes to the green supply chain finance model to facilitate the alignment between financial prosperity and the green transition in the logistics and transportation industry in Vietnam. Green supply chain finance has received increasing attention of stricter environmental regulations and increases consumer demand in industries involved. This complex issue requires ongoing attention and resolution in the industry. This study aims to construct a green supply chain finance model and identify the attributes. This study employs a hybrid fuzzy Delphi and fuzzy decision-making trial and evaluation laboratory. The model is shown to be robust according to sensitivity analysis. The results show that the validated model is built by 13 criteria within five aspects. The aspects are policies, regulations, financial digitalisation approaches, and collaborative financing decision-making. The practical causal criteria include (1) shared profit maximisation, (2) government rewards, (3) sustainability agreements and to provide guidelines for the practices.

Sustainable Development of the Real Economy: Supply Chain Finance and Enterprise Financialization

Supply chain finance, as an important financial instrument supporting the sustainable development of the real economy, has attracted significant attention. In this paper, research is conducted on 3181 non-financial listed enterprises in the A-share market in China from 2012 to 2021. Multiple regression analysis is adopted to examine the relationship between supply chain finance and enterprise financialization, as well as the impact of the former on the latter and the underlying mechanisms at play. The research findings indicate that the supply chain finance model, led by core enterprises, tends to exacerbate enterprise financialization in China. The significant resource dependence of small- and medium-sized enterprises (SMEs) on core enterprises acts as a moderating variable for supply chain finance and enterprise financialization. This dependence amplifies the stimulus of supply chain finance on the “financialization” of enterprises, demonstrates a pronounced moderating effect within state-owned enterprises, and strengthens over time when the core enterprises possess information advantages. The findings articulated herein contribute to the scholarly discourse, offering insights into the improvement of supply chain finance and the advancement of the real economy’s sustainable development via financial services. A good supply chain finance model should align with the requirements for the development of China’s real economy. It should provide not only financial assistance to enterprises but also foster a virtuous cycle within the industrial chain and encourage industrial production over financial investment.

Study on Supply Shain Financing Scheme of A Vietnamese Coffee Company in China

This paper takes G7 Coffee, a Vietnamese coffee company, as an example to design a supply chain financing scheme suitable for the company. First of all, on the basis of explaining the concept of supply chain, supply chain financing and other related concepts, supply chain management theory, supply chain financing model, fuzzy comprehensive evaluation model and other theoretical foundations, based on the financing situation of a Vietnamese coffee company G7 coffee in China, combined with the financing problems of the company and the company's capital needs, The feasibility of supply chain financing of G7 Coffee in China for a Vietnamese coffee company is proposed. Secondly, this paper introduces the evaluation method of supply chain financing scheme of G7 Coffee in China of a Vietnamese coffee company. Finally, on the basis of clear objectives and principles of financing scheme design, an evaluation system of supply chain financing mode of a Vietnamese coffee company based on AHP is constructed. The applicability of accounts receivable supply chain financing, inventory supply chain financing and prepayment supply chain financing adopted by the company is further analyzed by fuzzy comprehensive evaluation method. The fuzzy comprehensive evaluation results show that The accounts receivable financing model is the best financing model for the supply chain financing of G7 Coffee in China of a Vietnamese coffee company. In order to ensure the smooth implementation of the supply chain financing plan of a Vietnamese coffee company G7 Coffee in China, this paper proposes to strengthen the guarantee from three aspects: financial system, credit management and risk control.

Capturing the Potential Implementation of Islamic Financing with Supply Chain Finance Model Fisheries Sector in Belitung

This research aims to analyze the Islamic financing model with supply chain financing and its impact for the economic development, especially for fisheries households in Belitung region. This research uses a qualitative approach. The main object of this research was Bank Pembiayaan Rakyat Syariah and the fishery sector in Belitung. In addition, the distribution of the locations of fisheries households consists of 5 (Five) subdistrict namely: Tanjung Pandan, Membalong, Sijuk, Badau, and Selat Nasik. In this study, the research uses a basic framework of interview questions to 10 infromants from multi-channel financing business model study by Bank Indonesia (2023). The results of this study found that the supply chain financing model with Islamic financing contracts has the potential prospect to be applied by using the musharakah and wakalah bil ujrah contract of transactions for fisheries households in five subdistrict of Belitung region. The implication of this research to enhance the critical role of the Islamic financing model for fisheries households to increase the income of fisherman exchange rate in Belitung Regency

Constrained Community Detection and Multistage Multicost Consensus in Social Network Large-Scale Decision-Making

As a widely encountered decision-making scenario in modern society, social network large-scale decision-making (SNLSDM) is becoming a frontier topic in the field of decision science. Decision information usually includes social relationships among decision-makers (DMs) and individual opinions. This makes clustering and consensus building, which are two important processes for solving SNLSDM problems, significantly complex and requires the integration of multiple factors. This study designs a decision support method that consists of a constrained community detection (CCD) method and a multistage multicost consensus (MSMulCC) model. The CCD method takes the similarities among individual opinions as the mandatory constraint to guide the classification of DMs based on social relationships. The consensus-reaching process (CRP) is an effective tool for reducing differences of opinion. We hold that the DM with high compatibility but low consensus can reduce the adjustment amount by actively losing some compatibility. In this way, three types of consensus costs are generated, including individual adjustment cost, group adjustment cost, and compatibility loss cost. In this study, an MSMulCC model is developed, and the impact of different types of consensus costs on CRP. Finally, the feasibility and characteristics of the proposal are revealed through a case study and comparative analysis of the supply chain financing model selection.

Innovation of Supply Chain Finance Business Model in the Blockchain Era: Case Study on a Chinese E-Commerce-Centered SCF Adopter

The swift advancement of information technology has facilitated the evolution of supply chain finance (SCF) into a novel financial tool, experiencing substantial global growth. Numerous e-commerce platforms in China, capitalizing on the "Internet Plus" era, have introduced SCF services to mitigate the financing challenges encountered by small and medium-sized enterprises (SMEs). To overcome the limitations prevalent in conventional SCF, the integration of blockchain technology has led to the innovative "Blockchain + SCF" model. This paper scrutinizes JD SCF model as a case study to examine the implications of blockchain-empowered SCF, employing methods such as case analysis, comparative analysis, and literature review. It first offers an in-depth examination of JD "Blockchain + SCF" model, shedding light on the advantageous effects of blockchain technology. Further, it acknowledges the novel issues and hurdles that this model encounters, necessitating collective efforts for resolution through illustrative case studies. Ultimately, the study reaffirms the strong competitiveness of JD "Blockchain + SCF" model among peer organizations, emphasizing its strengths and suggesting potential future trajectories. This research may contribute valuable perspectives for both theoretical and practical applications in related domains.

Research on Supply Chain Finance and Modern Business Model Based on Internet of Things Security

Research on Supply Chain Finance and Modern Business Model Based on Internet of Things Security

Analysis of supply chain finance development model for SF Holdings: Comprehensive study for SMEs’ financial accessibility

The supply of funds is a very important part of their development. Due to the problems of small and medium-sized enterprises with insufficient credit in banks and fewer mortgageable assets, it is challenging to obtain funds from banks for development and operation. Supply chain finance can help it solve these problems. Supply chain finance focuses on core enterprises, manages the capital flow, logistics and information flow of upstream and downstream small and medium-sized enterprises, and transforms the uncontrollable risks of a single enterprise into the controllable risks of the supply chain enterprise. The risk is controlled in the lowest financial service through three-dimensional access to various information. As the leader of China’s logistics enterprises, SF Holdings has a mature supply chain management system and big data analytics capabilities and has more enterprise information, which can provide related financial services for small and medium-sized enterprises. This paper will study the supply chain finance model of SF Express Holdings, analyze its development and existing problems, put forward corresponding suggestions, and make predictions for its future development and the development of supply chain finance.

The Operational Mechanism of Agricultural Products Supply Chain Finance Based on the Mode-Capability-Customer Matching Approach

The key to successful agricultural product supply chain finance of commercial banks lies in coordinating the relationship among the “supply chain finance model”, “banking serviceability”, and “user satisfaction”. Previous research on agricultural products supply chain finance rarely incorporated the operational level of commercial banks. To fill this gap, this paper transforms the operational problem of the agricultural product supply chain finance of commercial banks into a matching problem between the agricultural product supply chain finance model and customers under the constraint of serviceability. First, a matching model of “mode-capability-customer” of agricultural products supply chain finance is constructed based on the theory of bilateral matching; second, a measurement index system of matching degree and satisfaction is constructed, where matching degree and satisfaction are calculated; finally, the optimal matching model is studied. This paper proposes a model that matches agricultural supply chain finance with customer satisfaction, considering bank serviceability constraints. It improves the implementation of agricultural product supply chain finance by commercial banks. The study uses surveys and evaluations to assess stakeholder satisfaction and preferences. An operational research model optimizes the matching process between supply chain finance models and recipients, ensuring suitability. The paper provides a theoretical basis for rural financial services and practical recommendations for commercial bank supply chain finance, with valuable real-world applications.

Exploration of Supply Chain Financing Model and Virtual Economic Risk Control Using the Backpropagation Neural Network

This article aims to optimize the supply chain financing model and address virtual economic risk control by effectively reducing associated risks. To achieve this objective, the backpropagation (BP) neural network model is designed and implemented, promoting the application of intelligent technology in supply chain financing and virtual economic risk control. Initially, a fundamental BP neural network model is developed and evaluated. Subsequently, an Adam-BP neural network model is proposed by optimizing the Adam optimizer, providing substantial technical support for enhancing the supply chain financing model and virtual economic risk control. The research results indicate significant performance improvement after applying Adam optimization to BP, with all indicators in the plant classification dataset surpassing 0.92 and those in the credit card fraud dataset increasing to above 0.9. Thus, the model presented here exhibits exceptional adaptability and offers effective technical support for optimizing the supply chain financing model and virtual economic risk control methods.

Research Trend in Supply Chain Financing

Supply chain finance (SCF) is one of the effective methods to reduce costs for company financing and enhance the effectiveness of such financing. The purpose of this research is to highlight the gaps and insights in Supply Chain Financing (SCF) literature and to identify the development trends of supply chain financing (SCF) research through journals or articles published by leading journals. Data Processing Using Bibliometric Method through Bibliographic Information from Scopus for the Topic of Supply Chain Financing. The research adopts a quantitative approach. This quantitative approach is utilized to analyze journals or articles published from 2000 to 2022. Meanwhile, the mapping system uses VOS viewer and biblioshiny. Through this bibliometric analysis, data and visualization of research data trends are obtained. The process consists of four steps: (1) defining search keywords; (2) initializing search results; (3) refining search results; and (4) compiling initial statistical data and analyzing the data. The research findings are expected to provide a stronger roadmap for further research in this field. By utilizing bibliometric analysis, the following data and visualization of research trends are obtained: (1) SCF research within the timeframe of 2000 – 2020 experienced a significant increase starting from the year 2018; (2) Yan N is the most effective author in this topic; (3) China is the country that contributes the most to this research topic; (4) The International Journal of Supply Chain Management is the journal that publishes the most articles on the SCF theme. Furthermore, the research findings on the SCF topic reveal a depiction that this financing model (SCF) is also implemented by Sharia-based banks (MURABAHAH SCF). Thus, it can be ensured that competition will arise between the conventional bank SCF model and the SCF from Sharia banks. Potential topics in future research on supply chain performance or supply chain coordination will be more interesting to research.

The Risks and Countermeasures of Supply Chain Financing on E-Commerce Platforms

With the popularization of the Internet, e-commerce business has developed rapidly in recent years, and the scale of online transactions is growing day by day. In order to meet the funding needs of enterprises on the platform supply chain and assist the platform's development, e-commerce platform supply chain financing has become one of the important financing methods. But this model will inevitably face more dimensional risks, which will have an impact on financing efficiency. In order to minimize risks and ensure the smooth and efficient development of this model, this article explores the supply chain financing model of e-commerce platforms, and explores and summarizes the existing risks of e-commerce supply chain financing from multiple perspectives. And propose preventive measures from multiple dimensions to address risks. In order to provide reference for improving the supply chain financing of e-commerce platforms, provide more assistance for enterprise financing, and provide certain reference and inspiration for enterprises interested in developing such businesses.

Research on Financing Strategy of Green Energy-Efficient Supply Chain Based on Blockchain Technology

With the development of ecological economics, energy-saving green energy chain management has been a wide concern of academia and industries. However, the relatively high cost of green investment makes manufacturers face the problem of financial constraints. On this basis, because the green level information of products is proprietary to manufacturers, manufacturers will lie about the green level of products in order to improve their profits out of the principle of profit maximization. As a result, banks cannot obtain the true green level of products, reducing the benefits of the green energy-efficient supply chain system and making the market of green products volatile. In view of this, blockchain technology is introduced in this paper to improve customer’s product green level sensitivity and obtain lower green credit interest rates from banks. In this paper, a green supply chain financing model based on blockchain technology was constructed under the condition of green information misreporting, and it is compared with the benchmark without blockchain technology. Research shows that the adoption of blockchain can achieve Pareto improvement of green supply chain members. In addition, manufacturers have an incentive to adopt blockchain if the cost of blockchain investment falls below a certain threshold, and consumer green sensitivity increases below that threshold. We compared the profits of green manufacturers with those of retailers and the total emissions of manufacturers. The results show that: (1) When the financing intensity exceeds a certain value, there is an optimal coverage of green financing to ensure that the profit target of manufacturers, the profit target of retailers and the emission reduction target are achieved simultaneously. (2) The adoption of blockchain can achieve Pareto improvement of green energy supply chain members. The actual data of green transformation of Jinyuan New Technology Company were cited. Through calculation, it was found that green transformation can reduce the emissions of enterprises. When the financing intensity is in a certain range, the profits of manufacturers and retailers can be maximized, and the emission reduction degree is the highest. Thus, the practicability and reliability of this model were proved. (3) Manufacturers have an incentive to adopt blockchain if the cost of blockchain investment falls below a certain threshold, and consumer green sensitivity increases below that threshold. The research results of this paper provide solutions for enterprises with limited funds for green transformation and provide a theoretical basis for the government to formulate emission reduction incentive mechanism.

An Empirical Study on the Impact of Corporate Governance Level on Investor Confidence Under the Supply Chain Finance

With the rapid development of cloud computing and financial technology, supply chain finance gradually takes a significant role at the financial market. More investors consider that as the future trend of enterprising growth. There is no denying that boosting investor confidence is the foundation for a capital market to achieve sustainable development. Does the quality of corporate governance affect investor confidence? Based on theoretical and empirical analysis, investor confidence is affected by managerial compensation, managerial shareholding ratio, independent director ratio and board size. Moreover, in the sample of A-share listed companies in China stock market in 2017-2021, corporate governance level is constructed as a synthetical indicator by using PCA to investigate its impact on investor confidence under the supply chain finance model. The results show that the higher the corporate governance level, the stronger the investor confidence. Based on the above findings, a series of recommendations are put forward aimed at improving the government's regulatory capacity as well as corporate governance level.

Digital Supply Chain Finance Model in Thailand

The chapter aims to study and to evaluate digital supply chain finance model in Thailand. The samples in the research study consisted of ten purposively selected experts consisted of three experts on supply chain, five experts on Digital Technology and three experts on the finance. Data were analysed by arithmetic mean and standard deviation . The research findings model seven elements namely main components, Buyer, supplier , Bank or Financial Institution . The ten experts agree that digital supply chain finance model in Thailand was high suitability and can be appropriately applied in actual work settings.

Digital Supply Chain Finance Model in Thailand

The chapter aims to study and to evaluate digital supply chain finance model in Thailand. The samples in the research study consisted of ten purposively selected experts consisted of three experts on supply chain, five experts on Digital Technology and three experts on the finance. Data were analysed by arithmetic mean and standard deviation. The research findings model seven elements namely main components, Buyer, supplier , Bank or Financial Institution. The ten experts agree that digital supply chain finance model in Thailand was high suitability and can be appropriately applied in actual work settings.

Analysis on Innovation Mechanism of Blockchain Enabled Supply Chain Finance Model

Analysis on Innovation Mechanism of Blockchain Enabled Supply Chain Finance Model