科研管理

科研管理 ›› 2017, Vol. 38 ›› Issue (12): 58-69.

• 论文 • 上一篇    下一篇

开放式知识交换路径的识别及网络效应分析—基于技术创新网络视角

单子丹1,2，高长元1,2,陈晓利1   

  1. 1哈尔滨理工大学管理学院，黑龙江 哈尔滨150040;
    2哈尔滨理工大学高新技术产业发展研究中心，黑龙江 哈尔滨150040
  • 收稿日期:2015-07-21 修回日期:2016-11-02 出版日期:2017-12-20 发布日期:2017-12-19
  • 通讯作者: 单子丹
  • 基金资助:

    国家自然科学基金项目“开放式知识网络与高技术服务模式创新：影响机理、动态耦合及路径选择”（项目编号71402041；起止时间2015.1-2017.12）；黑龙江省博士后科研启动基金“动态环境下知识传导行为与产业组织绩效的影响路径及演化机理”（项目编号LBH-Q11084；起止时间2012.12-2016.12）；国家留学基金委项目“Cross-functional Social Network Structure, Knowledge Dissemination and Organization Performance”（项目编号20143033；起止时间2015.3-2016.3)

Path recognition and network effect analysis for open knowledge exchange based on technological innovation network

Shan Zidan1,2, Gao Changyuan1,2，Chen Xiaoli1   

  1. 1.School of Management, Harbin University of Science and Technology, Harbin 150040, Heilongjiang, China;
    2.High-tech Industrial Development Research Center, Harbin University of Science and Technology, Harbin 150040, Heilongjiang, China
  • Received:2015-07-21 Revised:2016-11-02 Online:2017-12-20 Published:2017-12-19

摘要： 摘要：开放式知识交换是维系、协调技术创新网络（TIN）顺畅运转的核心要素，其路径构成及运行策略直接影响创新资源的配置及整合。从运行环境、个体行为、构成元素、交换规则等阐述知识交换路径的典型特征，提出互补-双边模式，模块化-多边模式及跨平台-混合模式三种路径的结构类型、群体定位及应用范围，进而揭示开放式知识交换路径的识别方法。采用Kalman-Filter模拟知识交换的全过程，给出状态转化的应用条件、识别规则及运行规律。利用MATLAB仿真及实证研究，验证路径识别模型的网络效应与TIN实际运行的吻合性，并在此基础上形成开放式知识网络的管理对策。实证结果表明，知识交换路径的运作效率及质量，有助于推进知识创新活动的开展及增值，提升TIN生态圈的良性循环与发展。

关键词: 知识交换行为, 路径识别方法, 网络效应, 技术创新网络

Abstract: Abstract：Open Knowledge Exchange is the core factor for maintaining and cooperating Technology Innovation Network (TIN), its path construction and executive strategy directly effect on innovative resource arrangement and integration. It elaborates the Knowledge Exchange Path characteristics from external environment, participant behavior, composed elements and exchange rules, and puts forward three path structure types including of group positions and usage scopes, such as complementary-bilateral mode, modular-multilateral mode and cross platform-hybrid mode, all these are for the Open Knowledge Path recognition methods. It uses Kalman-Filter to estimate the whole process of Open Knowledge Exchange including of the statement transformation condition, identification methods and operation rules. Finally, it verifies that the network effects from path recognition model which are consistent with TIN actual operation and the management policies are formed for open knowledge network. The empirical results show that the path efficiency and quality would activate knowledge innovation and improve beneficial economic cycle for TIN ecosystem.

Key words:  knowledge exchange behavior, path recognition method, network effect, technology innovation network (TIN)