Study On Process And Manage Of The Knowledge Innovation Of Team

Knowledge innovation is the headspring of the development of science and technol-ogy and the key to achieve the competitive power of our nation, which is also an importantportion to establish the innovation system in our country. The study of knowledge innova-tion process and management is obviously based on the consideration of the importanceof knowledge innovation contributing to our nation, enterprise, institutes and individu-als. This study is based on the theory and methods of psychology, management, systemicdynamics, synergetics and complex networks. The knowledge innovation process is ourresearch object, and the essence of knowledge innovation, the definition of knowledge in-novation, the analysis of the impact factors, and the analysis of dimension are our researchbasis. Establishment of the model of macro knowledge innovation process and the mi-cro evolutive mechanism of knowledge innovation are our research key points. Throughmathematical simulation, we discovered the the complex network relationships and dy-namic characteristics in the process of knowledge innovation. We further analyzed thecomposition and characteristics of knowledge innovation system, introduced the patternof collaborative management, and substantially applied the systemic control and man-agement on knowledge innovation system. We proposed the collaborative managementstrategy from multi aspects to promote the knowledge innovation in teams, which pro-moted the knowledge innovation process and improved the efficiency. In the end, wesuccessfully applied and tested our study through case analysis.Firstly, as our research basis, we sufficiently reviewed and analyzed the relative the-ories of knowledge innovation and creativity from the aspects of management and psy-chology in this study. Subsequently, we defined the concept of knowledge innovationaccording to the extend of level, the body of creativity, and the psychological and sys-temic aspects. We anatomized the substance of knowledge innovation, analyzed the mainbody of knowledge innovation, and structured the theoretical frame of this study. Wefurther analyzed the prohibitive factors of knowledge innovation from the objective andsubjective aspects. Meanwhile, from the aspects of individuals and teams, we thoroughlyexplored the stimulative of knowledge innovation .We analyzed the detailed actions ofthese stimulative in the process of knowledge innovation, we classified and quantitatively descripted their relationships, and we subsequently determined the dimensions of knowl-edge innovation of team. The analysis of the actions and relationships of these dimensionsin the process of knowledge innovation established the bases of the following setting ofmathematical descriptive parameters of knowledge innovation and the optimization thesystemic management in knowledge innovation.Secondly, starting from the qualitative analysis in the macro-process of knowledgeinnovation, we discussed the thinking process of the main bodies and the characteristicsand rules in knowledge innovation by five phases, which include the knowledge accu-mulation stage, the share and transfer stage, the problem-resolving stage, the verificationand judgement of outcomes stage and the network spread stage of production. In eachphase of knowledge innovation macro-process, the activity of knowledge has its distinctpattern. Thus, it is unpredictable of the macro-process of knowledge innovation itself.The knowledge innovation macro-process of team is a circulatory process of compressiveknowledge, which requests the creativity from its members. The knowledge innovationof team is also a non-linear network structure, which requests the communications andcollaboration of its members. Furthermore, we quantitatively described knowledge in-novation and established the mathematical models of individuals, groups, and teams andsubsequently applied simulation, which based on the investigations of the dimensionalmodels and qualitative and characteristic analysis of the macro-process of knowledge in-novation.Thirdly, we further investigated the micro-process dynamic evolutive mechanism ofknowledge innovation from the aspects of complex networks. In this study, we expoundedthe principle of idea inspired innovation, established the dynamic model of idea inspiredinnovation which is the model inspiring innovation from idea, and expounded the evolu-tive processes of idea inspired innovation in teams and analyzed the characteristic.We putforward two guidelines in the process of idea inspired innovation, which are the stabilityand innovation intensity during the knowledge innovation evolutive process in team. Wecould discover the micro relationship in knowledge innovation in team and explored theeffect of parameter on two guidelines through the simulation of evolutive process in team.Finally, based on the complete analysis of the components and characteristics ofknowledge innovation system, we introduced the idea of synergetics and proposed thecollaborative management framework in knowledge innovation system. Through analysis of the systemic synergic dynamical effects, we finally proposed the collaborative man-agement strategies in knowledge innovation system in order to improve the efficiencyof knowledge innovation. We completely optimized and controlled the innovation sys-tem from multi aspects and further indicated the subsystems of knowledge innovation.Thus, the knowledge innovation system is an open, dynamical, systemic, correlative andcomplex system, in which there is the process from a disorderly structure to an orderlystructure. This system is a far from balanced and orderly dissipative structure, thus, it isnecessary and feasible to apply the collaborative management in it. We established thefeedback models on the interactions base on the analysis of static collaborative effect ofelements in knowledge innovation system and further established the systemic dynam-ical models through the systemic feedback mechanism. By solution of this model, weconcluded that the efficiency of knowledge innovation is of an S-type curve under the col-laborative management. We further analyzed the causes of its formation and correlatedwith the facts, finally, we provided the collaborative management strategies from multipleaspects.