Research On The Influencing Factors Of Shared Economy Based On Value Network

In recent years,the overcapacity in the world has brought a large amount of idle resources.With the popularization of mobile smart devices,the development of Internet technologies and the changes in people's consumption values,the co-operation has spurred the germination and rapid development of the shared economy model.In the meantime,however,some shared economic enterprises have continuously received high-level financing.Some shared economic enterprises have to leave the competition stage because of their poor management.In order to explore its causes,this article will study the influencing factors of shared economy platform.Although the influencing factors of different types of shared economic platforms will not be the same,in general,the related parties are all similar,and the environment of shared economy is the same.Therefore,after establishing the model of shared economic value network,take the Lujinfu platform as an example for follow-up empirical research.This article will use value network theory and system dynamics system simulation to study the factors that affect the shared economic platform.Firstly,according to the theory of value network,we construct a shared economic value network model that includes all participating parties and their interactions.Taking Lujinfu platform as an example,the model is refined and landed.The model includes lenders,borrowers,other P2P platforms and banks,Government,credit reporting agencies and guarantee agencies,as well as the process of creating customer value among participating parties;and then abstracts the factors that affect each party in the value network,such as the number of participants,the potential Users,income level,platform volume,user awareness,user trust level,risk level,platform advantage,internal and external competition,cooperation level,regulatory level,credit rating and negative public opinion,a total of 13 factors.The system dynamics model based on value network including the above thirteen influencing factors was established to study the causal feedback relationship and the degree of influence of each influencing factor on the platform.Finally,the conclusion was drawn by computer simulation and data fitting and parameter adjustment:Regulatory levels and negative public opinion are the factors that have the greatest impact on the scale of the participants in the service platform.The higher the level,the smaller the negative public opinion,the more the number of participants platforms.In addition,the number of participants involved in the service platform is positively related to income level,user awareness level,cooperation level and credit rating,and is negatively related to the risk level.Finally,the author puts forward some suggestions to the P2P platform from the perspectives of raising the level of supervision,avoiding negative public opinions,accelerating social credit investigation and increasing cooperation both inside and outside the industry.