Research On The Application Of Big Data Technology In Supply Chain Finance Enterprises

The new crown pneumonia outbreak in late 2019 and the overlapping uncertainties that have accumulated in recent years have had an increasingly far-reaching impact on the global economy and finance.Most of China’s small,medium and micro enterprises(SMEs)are experiencing operational difficulties as a result.As a force to be reckoned with in economic development,SMEs play a pivotal role in driving China’s economic development and expanding employment.However,due to poor financing channels,high costs and insufficient financial support,these SMEs are still facing the difficulties of "difficult and expensive financing" and their development is restricted.The reason for this phenomenon is that,firstly,SMEs are not strong and do not have enough assets to guarantee;secondly,the financial management of SMEs is lagging behind,the financial information is not transparent,the credit rating is low,and the expected return on loans is much lower than that of banks and other traditional financial companies compared with state-owned enterprises and listed companies.Big Data is the inevitable result of information technology development and a new stage of information technology.With the rapid development of manufacturing industry,logistics industry and big data technology,as well as in recent years,the state has introduced a series of policies indicating the importance of supply chain finance in epidemic prevention and control,economic recovery and financial services,which has brought new opportunities for the development of supply chain finance.Based on the massive resources of Jingdong Group’s ecommerce platform and with supply chain finance as its core,JDDigits has achieved good results in various aspects such as product design,risk management and technology output,and has used big data technology to significantly improve the value of the whole industry chain.JDDigits is a typical case,from its use of big data technology to develop supply chain finance mode of operation,to explore the current and future development of the same type of enterprises,for other supply chain finance companies have a certain reference value.It is also of great practical significance to improve the service model of inclusive finance and realize the value of social business.Firstly,this thesis describes the background and significance of the study,and on the premise of reviewing a large amount of domestic and foreign academic literature,it combines information asymmetry theory,principal-agent theory,supply chain management theory and supply chain financial risk management theory,and adopts a combination of theory and cases to analyze.The motivation and foundation of the development of big data supply chain finance by JDDigits Company are summarized.Based on different product models,the four types of supply chain financial services of JDDigits,namely "Jingbao Bei","Jingmiao Loan","Movable Property Financing" and "Enterprise Jin Cai",are introduced."Four types of supply chain financial services are introduced.Secondly,this thesis analyzes the path of using big data to solve the three types of problems of supply chain financial pre-credit credit and risk management and restricted development by JDDigits,and analyzes its effect from multiple perspectives.For the pre-credit credit of supply chain finance,two products of "Jingdong Molybdenum Media" and "Jingdong Lailai" are introduced to use big data for marketing and the specific process of pre-credit credit;for risk management,"Jingbao Bei 2.0" is introduced respectively.Jingbao Bei 2.0","Tian Shi-Security and Anti-Fraud" module of "Risk Control Super Brain",and "Zhi Zhen Chain",a blockchain technology."As for the diversified development of JDDigits,he introduced the big data analysis platform of JDDigits and the diversified industries created by JDDigits’ big data.In terms of effect,three analysis methods are used to evaluate the performance and enterprise value of the core enterprise Jingdong Group and JDDigits’ own competitive ability respectively.The analysis shows that with the application of big data technology,the performance of the core supply chain finance enterprises is improved and the value of the core enterprises is increased,besides,the competitiveness of the supply chain finance enterprises themselves is also enhanced at the same time.Finally,this thesis draws relevant conclusions through the study of the application cases of big data technology in JDDigits: supply chain finance enterprises can use blockchain,artificial intelligence and other big data technologies to provide a safe and reliable credit basis for business through multi-dimensional credit collection,improve internal collaboration to strengthen credit transmission in the chain based on business data,build a dynamic risk management model to reduce financing risks,and Broaden business horizons.If supply chain finance companies want to develop in a sustainable and healthy way,they must continuously use technology to support their business development,maintain their core strengths and actively expand the scope of their financial services.In addition,some insights on the application of big data technology in supply chain finance are proposed to provide reference for other supply chain finance enterprises.