Abstract
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.
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