Knowledge Management Mechanism Design And Its Quantitative Model Analysis

Along with the wave of information and globalization,human being society has already stepped into the knowledge society.The knowledge society is based on the production,distributionand utilization of knowledge and information.In the new era,knowledge increasingly becomes important and to be the most sinificant resource successive to land,labor and capital,which desides the business competitive advantages.For this purpose,enterpris- es have to divert their attention to the resouce of knowledge to get advantages over others in competition in the knowledge economy.In the knowledge economy society,as the dynamic source of the enterprises' innvation,knowledge has become the most scarce resource .It is up to present knowledge storage of firm whether it can catch more opportunities and ways of resource allocation,which contributes to competitive advantages.Therefore,the more and the newer knowledge is grasped and invented,the more competitive advantages can be seized.Furthermore,enterprises have to maintain their sustainable capability of competition on the ground of assurance that enterprises can effectively manage the process of innovation,inspiration,disseverance and application of knowledge.Thus,it is the focus of scholars in the knowledge economy to find the mechanism how knowledge plays its role in business,and to make in-depth researches on the way of knowledge development diversion,dissemination and the law of knowledge. Knowledge management offers the enterprise a new way to realize the share of explicit knowledge and tacit knowledge, through which the enterprise can integrate the collective intelligence to enhance its adaptive and innovative capability.In order to enforce the knowledge management,the enterprise should establish a mechanism to encourage the employee to participate the knowledge innovation and knowledge share,and then cultivates its innovative capability and collective creativity.productivit-y of knowledge is attributable to the development and dissemination of knowledge,which both are based on the mechanism of success of knowledge management. For this purpose,we should pay attention to such an important problem need to be solved:how to design an effective mechanism to encourage knowledge innovation and knowledge share according to the regularity of knowledge management. From this sense,the author uses the method which combine the qualitative analysis an the quantitative analysis,and apply the Game Theory,Information Economics,New Institutional Economics,Modern Property Rights Economics to make an inner analysis and research on the knowledge management and its mechanism.Firstly,through exploring and the micro-mechanism of the enterprise's knowledge activity,the paper uses a quantitative analogue of biologic evolution to demonstrate the necessary of knowledge management in knowledge economy.Secondly,the paper uses the Modern Property Rights Economics,Game Theory,Information Theory to analysis the mechanism of knowledge innovation and knowledge share in quantitatively,indust the mechanism of property rights into knowledge management.At last,the paper apply fuzzy BP neural network method to the evaluation mechanism of the knowledge management ,and then suggest a new approach to quantitatively analysis the knowledge management effects in an enterprise. The main ideas and conclusions of this paper are:1. A close examination on the micro-mechanism of knowledge management in firm shows that the larger the knowledge quantity with a better structure ,the more ca-pable will the firm be in the knowledge absorption ,knowledge generating productivity and innovation opportunity discerning.At the same time,knowledge innovation leads to the knowledge accumulation and the inprovement of its structure.Thus a positive feedback founded.However,with the accumulation and its structure getting complicated,knowledge updating diffusing and sharing become difficult and the knowledge productivity lowers,which hinders innovation and accumulation of knowledge.Thus a negative feedback founded.