[Purpose/significance] Network crowdsourcing is a rising innovative business model，which exists in the form of a virtual community. The transfer of knowledge is throughout the entire process of this model and research on the knowledge transfer process and affecting factors in the network crowdsourcing model will help enterprises better understand the importance of it. [Method/process] This paper based on the previous research, analyzed the running process and the knowledge characteristics of the network crowdsourcing. It also established the knowledge transfer process model and affecting factors analysis model. Besides, according to the collected data with analysis and processing, we obtained the weight of each affecting factor. Finally, for the interaction between users as the breakthrough point, we put forward the development strategies by using the incentive theory, game theory and other related knowledge. [Result/conclusion] The result shows that the ambiguity of knowledge, the attributes of tasks and the motivation of those who accept the crowdsourcing tasks are the key factors determining whether knowledge can be transferred. It will enhance the accuracy of solving problems and the practicability of knowledge by taking proper incentive measures, strengthening reciprocal trust and communication.