Design And Optimization Of Supply Chain Financial Service Platform Driven By Blockchain Technology

In recent years,the rapid development of small and medium-sized enterprises has become increasingly prominent for high-quality economic growth.Meanwhile,there are still some difficulties in financing these enterprises because of their own disadvantages such as weak market power and credit problems.But the emergence of supply chain finance provides a new way of problem solving.In the report of the 20 th CPC National Congress,it is further emphasized that supply chain finance should help with the boost of the real economy and the improvement of supply chain resilience.Therefore,in the development of supply chain finance,it is necessary to overcome its shortcomings like information asymmetry to guard against all risks.Blockchain technology can solve the key problems and drive further development of supply chain finance by virtue of its decentralization,immutability,traceability,security independence,transparency and other characteristics.Firstly,this thesis is based on information asymmetry theory,principal-agent theory,transaction cost theory and evolutionary game theory,and takes supply chain finance as the research subject.By setting the blockchain technology in the loss variables,this thesis establishes the evolutionary game model between financial institutions and small and medium-sized enterprises,and analyzes the equilibrium stability.Meanwhile,Matlab software is used to conduct numerical simulation analysis and explore the design mechanism of supply chain financial service platforms driven by blockchain technology.Next,with the design mechanism as the theoretical foundation,the supply chain financial service platform driven by blockchain technology is designed.The four construction subjects of the service platform are analyzed to provide the overall architecture,technical architecture,functional modules,entry process and operation process.The innovative construction is based on the decision analysis module of data mining and the platform governance module that stems from governance theory.And then the thesis deliberates the risk factors that dual chain integration service platforms may face in the future.By using the Delphi method to determine the risk factors,including initial data,core technology,logistics warehousing and platform management,this thesis proposes the design of a risk optimization path which is based on the domino theory to improve the data review system,the big data risk control theory to strengthen the technology breakthrough and integration,the barrel principle to strengthen the logistics and warehousing management,and the life cycle theory to deepen the overall management of the platform.All of these will help deepen the overall management of the service platform,so as to optimize the function modules,auxiliary modules operation and the effect of legal regulations.Finally,the design will promote the continuous healthy operation of the service platform.Through this thesis,we desire to have a better understanding of the driving role of blockchain technology in supply chain finance.And also expect that the design and optimization of the service platform can play a significant role in reference and promotion for small and medium-sized enterprises in the current day.