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

doi:10.16381/j.cnki.issn1003-207x.2017.03.008

中国管理科学 ›› 2017, Vol. 25 ›› Issue (3): 68-75.doi: 10.16381/j.cnki.issn1003-207x.2017.03.008

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

韩莹¹, 陈国宏¹, 梁娟²

1. 福州大学经济与管理学院, 福建福州 350116;
2. 福建江夏学院工商管理学院, 福建福州 350108

收稿日期:2015-03-06 修回日期:2015-09-01 出版日期:2017-03-20 发布日期:2017-05-27
通讯作者: 陈国宏(1953-),男(汉族),福建福州人,福州大学经济与管理学院,教授,博士生导师,研究方向:科技管理,E-mail:cgh@fzu.edu.cn.
基金资助:
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）

Knowledge Pricing, Profits and Coordination Research on Knowledge Closed-loop System of Industrial Cluster Ambidextrous Innovation Based on Network Power

HAN Ying¹, CHEN Guo-hong¹, LIANG Juan²

1. School of Economics and Management, Fuzhou University, Fuzhou 350116, China;
2. School of Business Administration, Fujian Jiangxia University, Fuzhou 350108, China

Received:2015-03-06 Revised:2015-09-01 Online:2017-03-20 Published:2017-05-27

摘要/Abstract

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。

关键词: 产业集群, 网络权力, 二元式创新, 知识闭环, 知识定价

Abstract: In the knowledge network of industrial cluster, the exploratory knowledge and exploitative knowledge will be sent from the knowledge supply source, through the knowledge intermediary to the users, and then form the feedback information to the knowledge source. In this paper, the knowledge closed-loop system based on the network power is studied, the differences about knowledge pricing and profits in different decision models are compared. The method of game theory and numerical simulation is used, the different decision-making behaviors under the different power networks of knowledge entity are compared. The result shows that (1) in each model, knowledge profits decreases with the increase of the preference coefficient,(2) in the decentralized decision mode, the income of knowledge source and the intermediary is related to the power, the more power, the greater the corresponding profits, and(3) the centralized decision model is the optimal decision mode, it can make the price lowest in both of exploratory knowledge and exploitative knowledge, and the system can reach the highest profits. However, this model can only be achieved through coordination mechanism. Thus the effective coordination mechanism is designed to achieve the centralized decision model and to provide beneficial enlightenment to the industrial cluster knowledge management practice. The conclusions would be helpful to enrich the knowledge closed-loop theory and popularize the application of cluster knowledge closed-loop system in reality.

Key words: industrial clusters, network power, ambidextrous innovation, knowledge closed-loop, knowledge pricing

中图分类号:

F224.32

韩莹, 陈国宏, 梁娟. 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[J]. 中国管理科学, 2017, 25(3): 68-75.

HAN Ying, CHEN Guo-hong, LIANG Juan. Knowledge Pricing, Profits and Coordination Research on Knowledge Closed-loop System of Industrial Cluster Ambidextrous Innovation Based on Network Power[J]. Chinese Journal of Management Science, 2017, 25(3): 68-75.

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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

Knowledge Pricing, Profits and Coordination Research on Knowledge Closed-loop System of Industrial Cluster Ambidextrous Innovation Based on Network Power

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