基于知识积累的高技术产品研发项目学习双元最优顺序策略研究

The Optimal Sequential Strategy of Learning Ambidexterity for High-tech Product R&D Project Based on the Knowledge Accumulation

高技术产品是高新技术知识的集成,其研发状况成为知识经济增长的决定性因素之一。围绕组织学习-知识存量-研发绩效的作用链条,构建了高技术产品研发过程中学习双元平衡的最优控制模型,求解出探索式学习和利用式学习的最优终止点、最优转换点、最优投入强度,并从这3个方面给出了高技术产品研发过程中的学习双元最优顺序策略。研究结论可为高技术产品研发项目实施中研发节奏掌控、学习战略的制定、资源分配等方面提供参考。

High-tech product is the integration of high-tech knowledge,and its R&D status has become one of the decisive factors in the growth of knowledge economy.Focused on the mechanism of organizational learning-knowledge stockR&D performance,an optimal model of dynamic ambidexterity is introduced.After the model solving,results are obtained about the decision making of the optimal termination point,the optimal switching point,and the optimal input intensity of exploration and exploitation.Based on these results the optimal sequential ambidexterity strategy is given for the maximization of high-tech product's R&D performance.All of these conclusions can provide reference for the control of R&D rhythm,the formulation of learning strategy and the allocation of investment resources in the implementation of high-tech product development projects.