Study On Customer Collaborative Product Innovation Knowledge System And Its Key Problems

With drastic market competition and diversification and individuation ofcustomers’ demands, enterprises are facing various new challenges, so that thetraditional innovative design model has been unable to meet the current fierce globalmarket competition environment. The rapid development of network informationtechnology and computer technology provides technical support for changing theenterprise innovation model. The Customer Collaborative Product Innovation model,which asks innovative subjects must design collaboratively with innovation customersas the leading factor, is a more open approach to innovation. The model greatlyimproves innovation ability of the company and competitiveness in the market. Becauselearning and creation of knowledge are the most important factors in the customercollaborative innovation process, effective knowledge management has become animportant safeguard for customer collaborative product innovation to achieve theobjective. However, due to the complexity of the system features such asmulti-subjectivity, nonlinear in the customer collaborative innovation process, theknowledge management of customer collaborative product innovation has become verycomplex, which needs considerate many factors, so effective management andoptimization of knowledge have been quite difficult. How to manage effectivelyknowledge of customer collaborative innovation organization from the complex systemperspective has become a research hotspot. Therefore, based on researchingsystematically the relevant theories and methods in customer collaborative productinnovation, knowledge systems, complex networks, super-networks and so on, thecritical issues in the Customer Collaborative Innovation Knowledge System areresearched systematically and thorough, such as modeling knowledge system,identifying innovation customers knowledge bodies, evaluating the individualimportance degree of knowledge subjects, portfolio decision-making for creativeknowledge products, the stability of the knowledge agent system. The main contents ofthis paper include the following five parts:First, study overall the knowledge system of customer collaborative innovation.The first job is introducing basic concepts and structures of CCPIKS; Then, compareseveral common methods for building system models, construct the basal model of theCCPIKS; Finally, analyze key issues of CCPIKS in the customer collaborative product innovation process and propose research ideas for customer collaborative innovationknowledge systems which take knowledge bodies as the center and the customercollaborative innovation process as the main line, put forward some critical issues asidentifying innovation customers knowledge bodies, evaluating the individualimportance degree of knowledge subjects etc., and raise the overall framework of theabove-mentioned research questions.Second, research identifying approach of innovative customers knowledge agentsfor customer collaborative innovation knowledge systems. First of all, analyzecharacteristics of identifying, based on relevant basic theory researches as the supportvector machine propose the research framework to identify innovative customersknowledge agents; Then, analyze and quantize blendedly main factors on innovationcustomers knowledge subjects identification, and reduce these factors based onRough-Set theory; Next, on the basis of these studies, build a recognition model forknowledge subjects of innovative customers based on improved cost-sensitive supportvector machine; Finally, verify the validity of the identification model by an applicationexample.Third, study evaluation method for the individual importance degree of knowledgeagents. At first, analyze common evaluation methods and evaluation indicators for theindividual importance degree of knowledge agents, with combineing withsuper-network theory and complex networks, construct the research framework toassess the individual importance degree of knowledge subjects; secondly, build aweighted knowledge bodies and knowledge points super-network model, which sets thefoundation for the evaluation of the individual importance degree of knowledge subjects;Then present the authentication method to vertify complex network characteristics ofknowledge bodies networks, on this basis, constructe the evaluation method and theprocess model for the individual importance degree of knowledge subjects based onweighted super-networks; Finally, verify the effectiveness and feasibility of theproposed model by a practical example comparing the above method with thetraditional way which evaluates the individual importance degree of knowledge agentsonly according to knowledge level.Fourth, research portfolio decision-making method of innovation knowledgeproducts in the customer collaborative innovation system. Firstly, analyze thecharacteristics of portfolio decision problems of creative knowledge products, based onthis, build a research framework for creative knowledge products portfolio decisions; Secondly, analyze and quantified express targets of creative knowledge productsportfolio decision, including value of creations, income satisfaction, risks and crosssimilarity four goals, on this basis, build a multi-objective optimization model ofcreation knowledge products portfolio decisions; Then, due to traditional geneticalgorithm is easy to local convergence, this paper proposes adaptive genetic algorithmto solve the multi-objective decision-making model; Finally, use an application exampleto verify the feasibility and effectiveness of this method.Fifth, study the stability of knowledge agents subsystem in the customercollaborative innovation knowledge system. Firstly, define the stability of theknowledge agents subsystem, and build the research frame for analyzing the systemstability; Secondly, based on the undirected weighted graph theory build an undirectedweighted network of customer collaborative product innovation knowledge agentssubsystem, and analyze the collaborative strength among knowledge bodies; Then, forthe problem that in the complex system the common stability analysis methods as thenodes failure mode does not adequately reflect the characteristics of brain drainproblems of reality knowledge bobies, present the stability analysis node failure modeunder incomplete information conditions, and determine the stability measurement ofthe knowledge agents subsystem, and on this basis, construct the processs model toanalyze the stability of the customer collaborative product innovation knowledge agentssubsystem; Finally, verify the validity and feasibility of the method via an applicationexample.