| 我国创新网络研究现状与趋势分析 |
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| 引用本文： | 岳振明,赵树宽.我国创新网络研究现状与趋势分析[J].科研管理,2022,43(5):141-153. |
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| 作者姓名： | 岳振明 赵树宽 |
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| 作者单位： | 吉林大学管理学院，吉林 长春130022 |
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| 基金项目： | 国家重点研发计划现代服务业重点专项项目：“哈长城市群综合科技服务平台研发与应用示范”(2017YFB1401800,2017.12—2020.11)； |
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| 摘 要： | 在知识经济时代，加强创新网络研究对指导企业创新具有重要意义。本文围绕我国创新网络研究现状与趋势这一主题，以中国知网（CNKI）和中国社会科学引文索引（CSSCI）数据库作为文献来源，通过样本文献回顾梳理并运用知识图谱分析、突现词分析等文献计量学方法，对发文量趋势、核心作者等研究现状，创新网络类型、理论基础等研究内容以及研究趋势进行分析。研究结论如下：（1）国内创新网络研究起步早、成果丰硕，发文量逐年增加，形成了实力较强的核心研究团队；（2）技术创新网络、区域创新网络、企业创新网络等七种创新网络是国内学者最为关注的研究领域，而协同合作创新、创新网络演化、网络知识资源等则是学者们关注的研究主题；从学术取向上看，国内学者多以网络理论、资源依赖理论、资源基础理论、结构洞理论等为基础进行应用型研究，而理论创新成果少；（3）通过突现词分析发现，近年来出现的知识权力、协同创新研究反映了知识经济时代创新活动的新特征，是该领域新的研究趋势。
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| 关 键 词： | 创新网络 知识图谱 研究综述 |
| 收稿时间： | 2019-05-29 |
| 修稿时间： | 2019-10-30 |
The research status and trend of innovation network in China |
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| Yue Zhenming,Zhao Shukuan.The research status and trend of innovation network in China[J].Science Research Management,2022,43(5):141-153. |
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| Authors: | Yue Zhenming Zhao Shukuan |
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| Institution: | School of Management, Jilin University, Changchun 130022, Jilin, China |
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| Abstract: | In the era of knowledge-based economy, it is of great significance for enterprises to strengthen the research of innovation network. Focusing on the current situation and trend of innovation networks research in China, taking databases of China National Knowledge Infrastructure (CNKI) and Chinese Social Sciences Citation Index (CSSCI) as literature sources, combing sample literature and applying bibliometrics methods such as knowledge graph analysis, burst term analysis, etc., this paper analyzes research status on trend of number of published papers, core authors, etc., contents and research trend of innovation network types, theoretical basis, etc.
In terms of the present research status, this paper focuses on the four aspects: the annual number of published papers, core authors, core journals and the highly cited literature. The conclusions of the research are as follows: (1) Innovation network research of China started early but achieved fruitful results. The annual number of published papers increases year by year in fluctuation; (2) It has formed four core research forces represented by the DANG Xinghua, ZENG Gang, LIU Xiaoyan and SUN Yonglei. Among them, cooperative network represented by DANG Xinghua focuses on in-depth research from the perspective of knowledge, network embedding and network governance, and the number of papers published is numerous and the papers are high-quality and the most representative; (3) The core CSSCI journals such as Science & Technology Progress and Policy, Science of Science and Management of S. & T., Studies in Science of Science, Science Research Management, etc. are core journals in this field. (4) Highly cited literatures mainly cover three aspects: cluster innovation network, innovation network attribute and innovation network theory, which are important research directions in the field of innovation network.
In terms of research content, this paper focuses on research field, research topic, theoretical basis and research methods of innovation network. (1) It is found that seven kinds of networks, such as technological innovation network, regional innovation network, enterprise innovation network and cooperative innovation network, are the research focus of domestic scholars. These innovation networks are formed on the basis of different intentions and relationships, and have unique characteristics. (2) In addition to all kinds of innovation networks, synergy cooperation, knowledge resources and network evolution are the research topics that scholars focus on. The research results are abundant and the system is complete, but the research topics such as network governance, network faction, network anti-risk ability are less involved. (3) Network theory, resource dependence theory, resource-based theory and structural holes theory constitute the theoretical foundation of innovation network research. However, most domestic researches are application-oriented research, and there are few papers on theoretical development. Finally, most domestic researches are quantitative researches. There are few researches that combine qualitative analysis and quantitative analysis. Regression analysis is a commonly used method of quantitative data processing, while qualitative research mainly focuses on case research.
In terms of research trends, this paper combs the research hotspots and evolutionary trends in this field by using key word burst analysis method, and finds that the researches on innovation networks in China have the characteristics of stages. Before the financial crisis, scholars mainly focused on technological innovation, enterprise innovation networks, industry clusters, cluster innovation networks and other aspects of research; Researches have become mature; and after the financial crisis, with the evolution of innovation network, researches on core enterprise, network structure, collaborative innovation network and evolutionary dynamics have become the focus of domestic scholars. In recent years, the knowledge power and collaborative innovation are the products of the knowledge-based economy era, which reflect the new characteristics of the innovation activities in the new era and will become a new research hotspot in this field. |
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| Keywords: | innovation network knowledge map research review |
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