关键词: 伙伴选择, 协同产品创新, 知识匹配度, 期望收益

Abstract: Partner selection is the key to the success of collaborative product innovation.A partner selection decision method was proposed from a knowledge collaboration perspective.The partner selection index system was constructed by considering the knowledge matching degree of candidates,the knowledge collaborative performance among candidates,and the overall expected revenue of CPI alliance.Then a quantitative method based on the vector space model and the synergetic matrix method was proposed,which induced a comprehensive performance from partners.Furthermore,a multi-objective optimization model was developed to select desirable partners,and a fast elitist Non-Dominated Sorting Genetic Algorithm Ⅱ (NSGA-Ⅱ) was proposed to solve the partner selection model.A real case was analyzed to verify the feasibility and validity of the proposed model,and the result showed that the proposed method could effectively improve the probability of the stability and success of CPI alliances.

Key words: partner selection, collaborative product innovation, knowledge matching degree, expected return