scholarly journals Application of Blockchain Technology in Supply Chain Finance of Beibu Gulf Region

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
RenLan Wang ◽  
Yanhong Wu
Keyword(s):  
Supply Chain ◽  
Financial Risk ◽  
Chain Structure ◽  
Beibu Gulf ◽  
Application Research ◽  
Gulf Region ◽  
Processing Efficiency ◽  
Blockchain Technology ◽  
Supply Chain Finance ◽  
A Chain

Blockchain technology is a database that is operated by multiple parts and forms a chain structure through hash index. The blockchain uses multiple nodes and distributes multiple accesses to data, thereby reducing the dependence on the central Internet server and avoiding the possibility of damage to the central server point due to data and data loss. Encryption technology is used to ensure its integrity and ensure that the data files stored in the blockchain are not tampered with or deleted maliciously. Blockchain technology has inherent advantages in supply chain finance with its technical attributes such as nontampering, distributed ledger, and traceability and has great potential to build trust to solve the main problems of supply chain finance, which is conducive to promoting financial development in the Beibu Gulf region. This article mainly introduces the application research of blockchain technology in supply chain finance in the Beibu Gulf region and intends to provide some ideas for the development of supply chain finance in the Beibu Gulf region combined with blockchain technology. This article proposes the application research methods of blockchain technology in supply chain finance in the Beibu Gulf region, including blockchain technology, supply chain financial risk evaluation on the blockchain, and supply chain finance game for relevant experiments. The experimental results of this article show that the average processing time of the algorithm of the designed blockchain supply chain financial system is 4.10 seconds, the algorithm processing efficiency is faster, and the relevant risks can be better assessed.

scholarly journals The Sustainable Development of Financial Topic Detection and Trend Prediction by Data Mining

2021 ◽  
Vol 13 (14) ◽  
pp. 7585
Author(s):  
Yunmei Liu ◽  
Shuai Zhang ◽  
Min Chen ◽  
Yenchun Wu ◽  
Zhengxian Chen
Keyword(s):  
Data Mining ◽  
Supply Chain ◽  
Financial Institutions ◽  
Clustering Algorithm ◽  
Development Trend ◽  
Research Field ◽  
Trend Prediction ◽  
Blockchain Technology ◽  
Supply Chain Finance ◽  
The Government

Blockchain technology is the most cutting-edge technology in the field of financial technology, which has attracted extensive attention from governments, financial institutions and investors of various countries. Blockchain and finance, as an interdisciplinary, cross-technology and cross-field topic, has certain limitations in both theory and application. Based on the bibliometrics data of Web of Science, this paper conducts data mining on 759 papers related to blockchain technology in the financial field by means of co-word analysis, bi-clustering algorithm and strategic coordinate analysis, so as to explore hot topics in this field and predict the future development trend. The experimental results found ten research topics in the field of blockchain combined with finance, including blockchain crowdfunding, Fintech, encryption currency, consensus mechanism, the Internet of Things, digital financial, medical insurance, supply chain finance, intelligent contract and financial innovation. Among them, blockchain crowdfunding, Fintech, encryption currency and supply chain finance are the key research directions in this research field. Finally, this paper also analyzes the opportunities and risks of blockchain development in the financial field and puts forward targeted suggestions for the government and financial institutions.

Analysis of the Application of Blockchain Technology in the Field of Supply Chain Finance in the Natural Gas Industry

2021 ◽  
Author(s):  
Jianping Zhang ◽  
Fuping Wang ◽  
Yongsong Pu ◽  
Pu Li ◽  
Yingkai Ma ◽  
...  
Keyword(s):  
Supply Chain ◽  
Natural Gas ◽  
Financial Services ◽  
Organizational Innovation ◽  
Gas Industry ◽  
Blockchain Technology ◽  
Supply Chain Finance ◽  
Natural Gas Industry ◽  
Financial Framework ◽  
Gas Supply

Abstract After China's supply chain finance business has gradually matured in the consumer finance field, it has begun to extend to the industrial finance field. As a branch of industrial finance, the natural gas industry supply chain finance business has gradually developed, and the number of participants has gradually increased. The article mainly introduces the development status of natural gas supply chain financial services in China. Research has found that there are still many problems in the current industry development, such as the inability of effective collaboration among participants, and the inability to unify logistics, information flow, capital flow and energy flow in the industry. On this basis, the article studies the methods of blockchain technology to solve corresponding problems, and proposes the application ideas of blockchain technology in the field of natural gas supply chain finance, hoping to promote development by constructing a business model business architecture and technical architecture, This model can produce significant economic and social benefits, has a high theoretical feasibility, but there is no concrete examples at present. Finally, suggestions are made in five aspects, including strengthening the design of top-level systems, incorporating energy flows into the supply chain financial framework system, creating an open innovation atmosphere, enhancing technological progress, strengthening core corporate social responsibility, and promoting core corporate organizational innovation.

scholarly journals Hydrological Layered Dialysis Research on Supply Chain Financial Risk Prediction under Big Data Scenario

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Jia Liu ◽  
Shiyong Li ◽  
Xiaoxia Zhu
Keyword(s):  
Risk Management ◽  
Big Data ◽  
Supply Chain ◽  
Risk Analysis ◽  
Risk Prediction ◽  
Financial Institutions ◽  
Surface Runoff ◽  
Financial Risk ◽  
Supply Chain Finance ◽  
Runoff Model

In recent years, internet development provides new channels and opportunities for small- and middle-sized enterprises’ (SMEs) financing. Supply chain finance is a hot topic in theoretical and practical circles. Financial institutions transform materialized capital flows into online data under big data scenario, which provides networked, precise, and computerized financial services for SMEs in the supply chain. By drawing on the risk management theory in economics and the distributed hydrological model in hydrology, this paper presents a supply chain financial risk prediction method under big data. First, we build a “hydrological database” used for the risk analysis of supply chain financing under big data. Second, we construct the risk identification models of “water circle model,” “surface runoff model,” and “underground runoff model” and carry on the risk prediction from the overall level (water circle). Finally, we launch the supply chain financial risk analysis from breadth level (surface runoff) and depth level (underground runoff); moreover, we integrate the analysis results and make financial decisions. The results can enrich the research on risk management of supply chain finance and provide feasible and effective risk prediction methods and suggestions for financial institutions.

scholarly journals Analysis of Revenue Incentive Dynamic Mechanism of Financial Supply Chain from the Perspective of the Internet of Things

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yue Yin
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Influencing Factors ◽  
Incentive Mechanism ◽  
Influencing Factor ◽  
Blockchain Technology ◽  
Supply Chain Finance ◽  
The Incentive Mechanism ◽  
Relationship Factors ◽  
The Internet Of Things

With the rapid development of society, all walks of life need the support of the Internet of Things, and the financial industry is no exception. This article integrates blockchain technology with supply chain finance and builds a supply chain financial alliance architecture based on blockchain technology and an underlying model of the Ethereum blockchain system suitable for supply chain finance. We innovated new supply chain finance models and operating mechanisms and proposed business scenarios for supply chain finance from the perspective of blockchain. Taking into account the actual operation of the blockchain supply chain financial platform, the principal-agent model and the incentive theory are applied, and the supply chain financial accounts receivable model is taken as an example in the case of complete information and incomplete information. The incentive mechanism between the service provider of the chain supply chain financial platform and the core enterprise promotes the better implementation of blockchain technology and supply chain finance. Based on the existing theoretical research, this paper identifies the key influencing factors of the supply chain’s cross-enterprise incentive mechanism. These influencing factors system includes two dimensions: transaction factors and relationship factors. Transaction factors include resource dependence, uncertainty, and cooperation experience; relationship factors include corporate reputation, trust level, and relationship commitment. Based on the nature of the incentive mechanism, information sharing and revenue sharing are extracted as the measurement dimensions of the supply chain’s cross-enterprise incentive mechanism. On this basis, this article draws on the existing enterprise life cycle division method and constructs a hypothetical model of the influencing factors of the incentive mechanism in the incubation period, the growth period, and the maturity period. Relevant data was collected through questionnaires, and SPSS and AMOS software were used to perform statistical analysis, reliability analysis, exploratory factor analysis, confirmatory factor analysis, and structural equation hypothesis testing on the data. The performance of each influencing factor in different stages of the enterprise’s life cycle and the importance of each influencing factor in the same life cycle stage are obtained.

scholarly journals Research on the Development of Blockchain in Supply Chain

2021 ◽  
Vol 292 ◽  
pp. 02001
Author(s):  
JunJie Zheng ◽  
TianFeng Ye
Keyword(s):  
Supply Chain ◽  
Information Service ◽  
Basic Research ◽  
Financial Information ◽  
Present Stage ◽  
Critical Stage ◽  
Blockchain Technology ◽  
Supply Chain Finance ◽  
Stage Of Development ◽  
China’S Economy

At the present stage, China’s economy is at a critical stage of transformation and development, and supply chain finance has also entered a deep stage of development. In order to promote supply chain finance to get rid of hollowing out and other traps, it is necessary to improve the way of financial information service. Some characteristics of blockchain technology are consistent with the development of supply chain finance, which can improve the industry’s ability to control risks related to supply chain finance to a certain extent, and make supply chain finance better serve the real economy.On the basis of previous basic research, this paper creatively puts forward how to use blockchain to solve the problems existing in supply chain finance, and discusses in detail the obstacles to the popularization of blockchain technology in the field of supply chain finance, thus providing some schemes for realizing the application of blockchain in the field of supply chain finance.

Regression analysis of supply chain financial risk based on machine learning and fuzzy decision model

2020 ◽  
pp. 1-11
Author(s):  
Fan Xuan
Keyword(s):  
Supply Chain ◽  
Financial Institutions ◽  
Financial Services ◽  
Index System ◽  
Financial Risk ◽  
Control Measures ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Supply Chain Finance ◽  
Strong Control

Supply chain financial risk control has become the biggest obstacle restricting financial institutions from developing supply chain financial services. If financial institutions want to make a difference in the supply chain finance business, they need to implement strong control measures against supply chain finance risks. Based on the research of supply chain finance and risk related theories, this paper uses fuzzy preference relations and selects the main risk criteria to construct a risk evaluation index system. Moreover, this paper takes the development of J company’s supply chain finance business as a background to conduct an empirical analysis and proposes the risk management measures and development strategies of J company’s actual supply chain finance business. The combination of quantitative analysis and qualitative evaluation is more comprehensive and operational value for the research and management of supply chain financial risks. In addition, this paper uses the evaluation index system constructed in this paper to conduct a more comprehensive summary and analysis of the internal and external environment of risk influencing factors. The research results show that the performance of the model constructed in this paper is good.

scholarly journals Evolutionary Game Analysis of Blockchain Technology Preventing Supply Chain Financial Risks

2021 ◽  
Vol 16 (7) ◽  
pp. 2824-2842
Author(s):  
Rui Sun ◽  
Dayi He ◽  
Huilin Su
Keyword(s):  
Supply Chain ◽  
Credit Risk ◽  
Financial Institutions ◽  
Evolutionary Game ◽  
Decisive Role ◽  
Financial Risks ◽  
Factors Affecting ◽  
Blockchain Technology ◽  
Supply Chain Finance ◽  
Before And After

Because of the risks existing in supply chain finance, taking accounts receivable factoring business as the research object, this paper uses the evolutionary game method to analyzes the factors affecting the decision-making of the participants in supply chain finance, constructs an evolutionary game model between small and medium-sized enterprises and financial institutions, and analyzes the mechanism of blockchain to solve the financial risks of the supply chain by comparing the changes of evolutionary stability strategies before and after the introduction of blockchain technology. This paper aims to reduce financing risks by analyzing the mechanism of blockchain technology in supply chain finance. It is found that, firstly, blockchain technology can reduce the credit risk of financial institutions and solve financing problem. Credit risk plays a decisive role in whether financial institutions accept financing business decisions. Blockchain technology can reduce the operational risk of financial institutions and improve the business income of financial institutions. Secondly, the strict regulatory environment formed by blockchain technology makes the default behavior of small and medium-sized enterprises and core enterprises in a high-risk state at all times. No matter the profit distribution proportion that small and medium-sized enterprises can obtain through collusion, they will not choose to default, which effectively solves the paradox that small and medium-sized enterprises cannot obtain loans from financial institutions despite the increased probability of compliance. Then, the evolutionary game between financial institutions and small and medium-sized enterprises is balanced in that financial institutions accept business applications, small and medium-sized enterprises abide by the contract, and the convergence effect is better. Therefore, blockchain technology not only reduces the financing risk of financial institutions but also helps to solve the financing problems of small and medium-sized enterprises.

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