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Performance measurement of university-industry knowledge innovation alliance based on decay model

Author(s): Jianfeng Shi, Qingpu Zhang

According to the characteristics of university-industry knowledge innovation alliance, this paper analyzes the connotation of the alliance’s performance evaluation, it takes the alliance cooperation as cicadas’ change process, takes the relationship between each stage of the alliance cooperation as variable coefficient, calculates the decay model coefficient by using the BP neural network algorithm, gets the alliance’s cooperation performance through the decay model, and takes this model to the empirical evaluation method for proving. The result shows that this kind of method based on the decay model not only measures the status of the alliance, but also evaluates each stage and the participants, the evaluation by objectives is beneficial to the cooperation of the alliance, and enhances the cooperation effectively.

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