This study examines the input and output of the incentive mechanism of the knowledge in knowledge alliances (KAs). Through the mathematical model and the empirical analysis, the results show that the input-output ratio of knowledge has a positive influence on the incentives in KAs, while the input scale and output scale of knowledge have no significant influence. This study explores the influencing factors of the incentives in KAs from the input-output perspective using multiple methods and provides guidelines for the optimal benefit allocation in KAs. Further, the research results apply to other fields, providing a theoretical basis for strengthening the interaction between alliance members and how members of KAs can obtain the maximum knowledge output with limited knowledge input and how to motivate alliance members’ knowledge input.

本研究考察了知识联盟（KAs）中知识的激励机制的输入和输出。通过数学模型和实证分析，结果表明知识的投入产出比对KAs的激励有正向影响，而知识的投入规模和产出规模没有显着影响。本研究采用多种方法从投入产出的角度探讨了 KAs 激励的影响因素，并为 KAs 的最优利益分配提供了指导。进一步将研究成果应用于其他领域，为加强联盟成员之间的互动、知识联盟成员如何在有限的知识投入下获得最大的知识产出以及如何激发联盟成员的知识投入提供理论依据。