Abstract: Knowledge has gradually replaced capital and resources as an important source for companies to acquire and maintain competitive advantage in the new business environment. Compared with capital and resources, the input of knowledge can create more benefits and sustainability for companies. As the core activity of knowledge management and the key of knowledge innovation, knowledge sharing has attracted the attention from academic and business circles. With the application of Internet technologies such as Big Data and Internet of Things and the development of "consumer sovereignty theory", the role of the customer has changed from passive value recipients to value leaders who participates in the value creation activities of the company. The participation of customers has injected new momentum into the company's knowledge sharing. At the same time, the sharing of customer knowledge contributes significantly to the company's product innovation, service innovation and management innovation. Therefore, the research on customer knowledge sharing has important theoretical and practical significance.
At present, the research on the incentive mechanism of knowledge sharing is mainly divided into the incentive mechanism of explicit knowledge sharing and the incentive mechanism of tacit knowledge sharing. However, in the process of knowledge sharing, the knowledge shared contains both explicit and tacit knowledge, it is unreasonable to assume that the knowledge shared is all explicit or tacit. Then, how to formulate the proportion of income distribution based on the composition of knowledgesharedis a problem to be solved. Based on this, from the perspective of the structure of knowledgeshared, an incentive mechanism model of customer knowledge sharing based on principal-agent theory is established in this paper.
The influences of the proportion of explicit knowledge and tacit knowledge on the effort level ofcustomer knowledge sharing and income distribution coefficient under the condition of information symmetry and information asymmetry are analyzed, and the model is simulated and analyzed by MATLAB software. The results show that (1) the customer's effort level is related to the composition of shared knowledge and the effort level reaches the maximum value when the ratio of explicit knowledge and tacit knowledge are both 0.5;(2) when the knowledge composition is the same, the level of effort in the case of information asymmetry is lower than the level of effort in the case of information symmetry; (3) the income distribution coefficient is related to the composition of shared knowledgeand the income distribution coefficient reaches the maximum value when the proportion of tacit knowledge is 1;(4) the income distribution coefficient is inversely proportional to the degree of risk aversion. Based on this, we propose that the enterprise should develop a customer knowledge sharing evaluation mechanism and benefit distribution mechanism based on the structure of knowledge shared and adjust the income distribution coefficient according to the degree of customers' risk aversion, which can provide theoretical guidance for the formulation and implementation of incentive mechanism ofcustomer knowledge sharing.

Key words: customer participation, knowledge sharing, knowledge structure, incentive mechanism