基于网络权力的产业集群二元式创新下知识闭环系统知识定价、收益与协调研究

发布时间：2018-04-23 12:29

本文选题：产业集群 + 网络权力　；参考：《中国管理科学》2017年03期

【摘要】：产业集群知识网络中,探索性知识和利用性知识从知识供应源发出,经知识中介到知识用户,再形成反馈回到知识供应源,构成了二元式创新知识闭环系统。本文在知识闭环系统中,基于网络权力,对比了不同决策模式下知识定价、收益差异。利用博弈论方法与数值分析,研究发现:(1)知识收益与利用性知识偏好呈负相关;(2)在分散决策模式下,知识供应源和知识中介的收益与网络权力密切相关,网络权利越大,相应收益越多;(3)集中决策模式为最优决策模式,可使探索性知识与利用性知识定价均最低,并且系统总收益最高。由此本文设计了有效的协调机制,使集中决策模式得以实现。这不仅能够丰富知识闭环系统理论,并且为产业集群知识管理实践提供了有益启示。
[Abstract]:In the knowledge network of industrial cluster, exploratory knowledge and utilizing knowledge are sent out from knowledge supply source, through knowledge intermediary to knowledge user, and then feedback is formed back to knowledge supply source, which constitutes a binary innovation knowledge closed-loop system. In the knowledge closed loop system, based on the network power, this paper compares the different decision modes of knowledge pricing and income difference. By using game theory method and numerical analysis, it is found that: 1) there is a negative correlation between knowledge gain and utilitarian knowledge preference. (2) in decentralized decision-making mode, the income of knowledge supply source and knowledge intermediary is closely related to network power, and the network power is greater. The higher the corresponding income, the more the centralized decision model is the optimal decision model, which can make the price of exploratory knowledge and utilization knowledge lowest, and the total income of the system is the highest. Therefore, an effective coordination mechanism is designed to realize the centralized decision-making mode. This not only enriches the theory of knowledge closed loop system, but also provides beneficial enlightenment for the practice of knowledge management in industrial clusters.
【作者单位】：福州大学经济与管理学院;福建江夏学院工商管理学院;
【基金】：国家社会科学基金后期资助项目(15FGL005) 国家自然科学基金项目(71403052,71403055) 中国博士后科学基金(2015M570155,2016T90140) 福建省软科学项目(2015R0002) 福建省高校新世纪优秀人才计划项目(闽教科2015[54]号) 福州大学经济与管理学院管理科学与工程研究院高水平建设经费资助项目(0490-521137)
【分类号】：F062.9

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