基于专利的知识网络结构特征演变分析:以中国汽车产业为例

doi:10.3772/j.issn.1000-0135.2019.07.010

情报学报

2019, Vol. 38

Issue (7): 750-759 DOI: 10.3772/j.issn.1000-0135.2019.07.010

情报分析方法与技术

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基于专利的知识网络结构特征演变分析:以中国汽车产业为例

徐露允¹, 曾德明², 陈静²

1.湖南师范大学商学院，长沙 410081
2.湖南大学工商管理学院，长沙 410082

A Study on the Evolution of Knowledge Network Structure Features Based on Patent Intelligence: Empirical Analysis of the Automobile Industry

Xu Luyun¹, Zeng Deming², and Chen Jing²

1.Business School, Hunan Normal University, Changsha 410081
2.College of Business Administration, Hunan University, Changsha 410082

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摘要技术创新的关键是知识整合和知识组合配置，知识整合和知识组合配置策略的不同带来了异质性的知识网络结构特征，从而反映出企业创新能力、创新决策的差异性。运用中国汽车产业2001—2014年申请的发明专利和实用新型专利筛选出961家企业，并利用企业专利数据中的专利分类号构建知识网络，重点分析了知识网络关系特征和聚集特征演变过程。通过2821个知识网络的结构特征演变分析发现，我国汽车产业知识网络关系特征总体水平较低，但仍呈现出了上升趋势，汽车产业在总体上形成了一定程度的局部知识聚集和全局知识聚集，但局部聚集程度明显高于全局聚集程度；依据是否参与协作研发或技术标准制定将企业进行分类，不同类别下企业知识网络结构呈现出差异性的特征。研究发现有助于揭示我国汽车产业知识融合发展规律，为日后推动技术跨界融合以提升自主创新能力提供了一定的理论指导。

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	徐露允
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关键词 ：专利, 知识网络, 关系特征, 聚集特征, 汽车产业

收稿日期: 2018-07-04

基金资助:国家自然科学基金重点项目“自主创新背景下我国高技术产业标准化战略与政策研究”（71233002）。

作者简介: 徐露允，女，1988年生，博士，研究领域为技术创新与知识管理，E-mail:xuluyun@hnu.edu.cn

引用本文:

徐露允, 曾德明, 陈静. 基于专利的知识网络结构特征演变分析:以中国汽车产业为例[J]. 情报学报, 2019, 38(7): 750-759.
Xu Luyun, Zeng Deming, and Chen Jing. A Study on the Evolution of Knowledge Network Structure Features Based on Patent Intelligence: Empirical Analysis of the Automobile Industry. 情报学报, 2019, 38(7): 750-759.

链接本文:

https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2019.07.010 或 https://qbxb.istic.ac.cn/CN/Y2019/V38/I7/750

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