R&D联盟合作知识创新逐渐得到学者们的关注，其中联盟企业的知识转移决策对联盟合作创新结果具有重要影响。借鉴知识生产函数将R＆D联盟合作创新的动态演进过程抽象为一个两阶段的知识转移决策Stackelberg博弈模型，从是否考虑前期知识投入对R&D联盟知识转移决策进行博弈分析，得到盟主企业愿意将知识转移到联盟中的比率与其自身的知识边际收益正相关，与合作伙伴知识边际收益负相关，一定条件下盟主企业知识转移意愿、前期知识投入与知识边际收益三者正相关。

Collaborative knowledge creation between R&D alliance has received considerable attention in recent literature. For any collaborative endeavor to succeed, knowledge transfer decision of R&D alliance participants is important. Learning from knowledge production function and using the game theoretic framework, we modeled the dynamic evolution process of collaborative innovation as a two-stage Stackelberg leader–follower game of knowledge tranfer decisions. Specifically, we modeled two scenarios, the first in which consortia participants take current efforts into account only, and the second in which consortia participants have expanded the prior knowledge input. The equilibrium values of current efforts in knowledge creation, the leader’s knowledge transfer rate, and the total expected system gain in both of two scenarios were determined. It is found that the leader’s knowledge transfer rate is positively related to its knowledge marginal revenue, and negatively related to the follower’s marginal revenue. Furthermore, in certain conditions, the leader's intention of knowledge tranfer is positively related to prior knowledge input and knowledge marginal revenue.