图书情报工作

图书情报工作 >

2024 , Vol. 68 >Issue 6: 93 - 103

DOI: https://doi.org/10.13266/j.issn.0252-3116.2024.06.009

情报研究

融合社会资本与知识存量的合作创新网络演化机制研究

  • 金茜茜 ,
  • 陈虹枢 ,
  • 汪雪锋
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  • 1 北京理工大学管理学院 北京 100081
金茜茜，博士研究生；汪雪锋，教授，博士，博士生导师。

收稿日期: 2023-08-02

  修回日期: 2023-11-22

  网络出版日期: 2024-03-28

基金资助

本文系国家自然科学基金青年项目“多源异质网络视角下产学研合作产生机理及潜在机会发现研究”（项目编号：72004009）研究成果之一。

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Revealing the Role of Social Capital and Knowledge Stock in Driving the Evolution of Collaborative Innovation Networks

  • Jin Qianqian ,
  • Chen Hongshu ,
  • Wang Xuefeng
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  • School of Management, Beijing Institute of Technology, Beijing 100081

Received date: 2023-08-02

  Revised date: 2023-11-22

  Online published: 2024-03-28

Supported by

This work is supported by the Youth Program of National Natural Science Foundation of China titled “Research on university-industry collaboration causing mechanism and potential cooperative opportunity discovery in multi-source heterogeneous networks” (Grant No. 72004009).

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摘要

[目的/意义] 基于创新主体的社会资本与知识存量，深入研究合作创新网络的动态演化特征与内在机制，助推创新主体整合优势资源、拓宽合作渠道、进一步提升创新能力。[方法/过程] 综合运用知识要素抽取技术、社会网络分析方法及网络动态演化模型，在构建领域合作创新网络与整体知识网络的基础上，引入单个创新主体的个体知识网络，深入分析社会资本与知识存量对合作创新网络演化的驱动机制。[结果/结论] 以2003年—2022年光刻领域专利数据为基础开展实证分析，发现合作创新网络的传递性、创新主体间的组织邻近性与认知邻近性以及创新主体自身的知识多样性、知识组合潜力驱动了创新网络中合作关系的建立；创新主体的度中心性、个体知识网络的传递性对合作创新网络的形成具有负向作用。最后，面向进一步推动技术领域合作创新提出建议。

关键词： 合作创新网络; 知识网络; 演化机制; 社会资本; 知识存量; 随机行动者导向模型

本文引用格式

金茜茜 , 陈虹枢 , 汪雪锋 . 融合社会资本与知识存量的合作创新网络演化机制研究[J]. 图书情报工作, 2024 , 68(6) : 93 -103 . DOI: 10.13266/j.issn.0252-3116.2024.06.009

Abstract

[Purpose/Significance] Based on social capital and knowledge stock of innovation entities, the in-depth research on the dynamic evolution characteristics and internal mechanisms of collaborative innovation networks can promote the innovation entities to integrate superior resources, expand collaboration channels, and further enhance their capacity for innovation.[Method/Process] With knowledge elements extraction, network dynamic modeling and social network analysis, this paper constructed domain’s collaborative innovation network and overall knowledge network, and focused on the local knowledge networks of individual innovation entities to reveal the driving mechanism of social capital and knowledge stock on the evolution of collaborative innovation networks.[Result/Conclusion] On the empirical analysis of the lithography patent data from 2003 to 2022, this paper exposes that the transitivity of collaborative innovation networks, the organizational proximity and cognitive proximity between innovation entities, as well as the knowledge diversity and knowledge combination potential of innovation entities drive the establishment of collaboration relations in innovation networks. Meanwhile, the degree centrality of innovation entities and the transitivity of local knowledge networks have a negative effect on the formation of collaborative innovation networks. Finally, this paper proposes some suggestions for stimulating collaboration and innovation in domains.

Key words： collaborative innovation network; knowledge network; evolution mechanism; social capital; knowledge stock; stochastic actor-oriented model (SAOM)

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