Research On Evolutionary Game Of Knowledge Sharing Platform Ecosystem

Knowledge is the most valuable capital.With the development of Internet,many knowledgesharing platforms have emerged.They make the knowledge exchange and dissemination cross time and space restrictions,and makes it more convenient,efficient,and low-cost to obtain knowledge.Especially in recent years,the concepts of knowledge sharing and payment have come out one after the other,such as Dedao,Ximalaya,Zhihu,and Fan Dengdushu,etc.The cumulative user scale,average monthly active days and transaction amount show a rapid growth.The reason why these platforms are so popular is that it not only satisfies users' needs for knowledge,but also realizes the knowledge payment under the background of Internet,so that the three parties can achieve a win-win situation.However,both parties of knowledge supply and demand also fail in transactions due to various reasons.For a knowledge sharing platform ecosystem,the stability of transactions is the key to success.For the knowledge supply and demand,the knowledge demander needs to pay remuneration or other costs for acquiring knowledge;the knowledge supplier needs to provide high-quality knowledge for gaining revenue,and both parties expect to obtain more in less costs.Therefore,the knowledge trade is unsustainable because the benefits do not meet the expectations of both parties.It requires knowledge sharing platforms to adopt measures of rewards and penalties to facilitate transactions.During the two-party game and platform coordination,the knowledge sharing ecosystem composed of the three core subjects gradually evolve to a stable state.By analyzing the current research situation at home and abroad,it is found that there is little research on the evolutionary game and behavior of the knowledge sharing platform ecosystem,and even fewer studies have considered the impact of initial willingness,rewards,and penalties on behavior strategies.However,these factors will affect the stability mechanism of knowledge sharing,which is of great significance for maintaining a healthy platform ecology and establishing a sustainable profit model.Therefore,based on the evolutionary game method,this study introduces initial willingness,rewards and penalties,so as to explore the stable operation mechanism of the knowledge sharing platform ecosystem,and mainly solve three key issues:(1)What is the equilibrium state of the three-party game in the knowledge sharing platform ecosystem?(2)How does the equilibrium state evolve to a stable state?(3)How did the initial willingness,rewards and penalties affect the stable equilibrium results?Based on this,this study takes the knowledge sharing platform ecosystem as the research object,and uses literature analysis,evolutionary game,and simulation method to study how to promote the evolutionary stability of the knowledge sharing platform ecosystem and to propose corresponding management measures.The framework of this research is--First,by analyzing the research status of the knowledge sharing platform ecosystem,the core issues and research significance are proposed.Then,the basic theory of knowledge sharing platform ecosystem and evolutionary game is researched,leading out the research model of knowledge sharing platform ecosystem.Based on the theoretical research,and evolutionary game,a model building and stability analysis of the knowledge sharing platform ecosystem are carried out.Then Matlab software is used to simulate the evolution of the system under different input conditions,and the evolution trends and reasons are analyzed,leading to draw the following conclusions:(1)Compared to the reward to knowledge demander,it is more beneficial for reward to knowledge supplier to make the knowledge demander evolve towards the direction of seeking help,and knowledge sharing platform evolves towards the direction of active management.(2)Compared to punishing knowledge supplier,it is more beneficial for punishment on knowledge supplier to make the knowledge demander evolve towards the direction of seeking help,and knowledge sharing platform evolves towards the direction of active management.(3)The initial willingness of knowledge demanders seeking help will be very beneficial for knowledge sharing platform to evolve towards the direction of active management.(4)When the initial willingness of knowledge demander seeking help is relatively low,if the knowledge sharing platform punishes the knowledge demander relatively low,it will make the knowledge sharing platform evolve to the direction of passive management;if the initial willingness is high,then knowledge sharing platform will evolve spontaneously towards active management.Finally,based on the conclusions,the suggestions of management strategy and governance mechanism are proposed in the knowledge sharing platform ecosystem.