| 协同创新知识溢出风险管理框架：表征与认知 |
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| 引用本文： | 胡峰,袭讯,黄登峰,张月月,王晓萍,傅金娣.协同创新知识溢出风险管理框架：表征与认知[J].科学学研究,2020,38(6):1048-1056. |
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| 作者姓名： | 胡峰 袭讯 黄登峰 张月月 王晓萍 傅金娣 |
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| 作者单位： | 1. 浙江工商大学;2. 浙江工商大学 工商管理学院;3. ; |
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| 基金项目： | 教育部人文社会科学研究项目;浙江省自然科学基金;国家自然科学基金 |
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| 摘 要： | 知识溢出是知识外部性的一种表现，它对产学研协同创新的消极影响不可忽视。但是，因知识溢出模糊、风险难测度的原因，限制了当前计量等方法在该领域下的深入应用，理应尝试换一种视角切入研究。文章在界定知识溢出风险关键影响因素的基础上设计自变量，借鉴Cobb-Douglas模型构建产学研协同创新知识溢出风险表征函数，尝试验证并分析知识溢出风险极小值和稳定性存在的理论逻辑。结果表明：协同创新知识溢出风险极小值在联盟可控范围内存在，并随着核心主体知识创新能力与联盟溢出知识质量的提升而减小；风险达到极小值前提下，反弹的可能性与联盟内外环境变化剧烈程度呈现正相关性；此外，风险稳定性与组织间非正式沟通密度、组织结构合理度等呈现出负相关关系。最后根据分析结果构建产学研协同创新知识溢出管理框架。
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| 关 键 词： | 产学研协同创新 知识溢出风险 知识创新能力 知识溢出质量 稳定性 |
| 收稿时间： | 2019-05-30 |
The Knowledge Spillover Risks Management Framework of Collaborative Innovation: Representation and cognition |
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| Abstract: | Knowledge spillover is a manifestation of knowledge externality, its negative impact on Industry-University-Research Institute collaborative innovation can not be ignored. However, due to the ambiguity of knowledge spillover and the difficulty of measuring risk, it limits the in-depth application of econometric methods in this field, and should try to study from another perspective. The paper designs the independent variables based on the key influencing factors of knowledge spillover risks and builds a collaborative innovation knowledge spillover risk characterization function based on Cobb-Douglas model. Attempts to verify and analyze the theoretical logic of the minimum value and stability of knowledge spillover risks. The results show: The minimum value of collaborative innovation knowledge spillover risks exists within the controllable scope of the alliance, and decreases with the improvement of core organization knowledge innovation ability and alliance spillover knowledge quality; Under the premise that the risk reaches a minimum value, the possibility of rebound is positively correlated with the severity of environmental changes inside and outside the alliance; In addition, the risk stability has a negative correlation with the informal communication density between organizations and the rationality of organizational structure. Finally, based on the analysis result, constructing management framework of knowledge spillover risks of Industry-University-Research Institute collaboration innovation. |
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