科技创新治理中利益主体关系演化的研究热点及发展趋势

Research Hotspots and Development Trends of the Evolution of Stakeholder Relationships in Science and Technology Innovation Governance

摘要:

为探究治理科技创新主体间合作共生的复杂关系，以促进科技创新效率提升，在利益相关者理论下，基于Web of Science和中国知网数据库2010－2023年的科技创新治理领域中利益主体关系有关文献进行可视化分析。按照“个体－关系－网络”的逻辑，对筛选出的1 279篇外文文献和340篇中文文献，进行了发文量、核心作者、高被引文献演化趋势分析。基于关键词共现图谱和聚类结果，构建了利益主体关系演化的分析框架并对未来研究热点进行展望。研究发现：利益主体关系呈现出“个体－关系－网络”的阶段性演化，个体层面的研究以利益主体的识别、属性和类型划分为重点，关注各利益相关者的属性特征与利益诉求；关系层面聚焦于利益主体的关系结构与关系行为，重点从责任、压力等角度研究其关系行为对科技创新绩效与风险的影响；网络层面则主要从网络属性、运行机制及其治理3个方面进行探索，多从网络嵌入、拓扑结构等角度切入。未来的研究重点涉及利益主体的演化博弈、伦理问题、协同创新网络和创新生态系统等多个子问题。

Abstract:

This paper aims to explore the complex relationship of cooperation and symbiosis amongthe subjects of scientific and technological innovation, to promote the efficiency of scientific and technological innovation. Under the stakeholder theory, based on the database of Web of Science and CNKI from 2010 to 2023, a visual analysis of the literature on stakeholder relationship in the field of science and technology innovation governance is conducted. According to the logic of individual-relationship-network, 1 279 foreign papers and 340 Chinese papers were selected to analyze the number of published papers, core authors, and the evolution trend of highly cited literatures. Based on the keyword co-occurrence map and clustering results, the analysis framework of stakeholder relationship evolution is constructed, and the future research hotspots are prospected. The findings are as follows: the relationship of interest subjects presents a phased evolution of individual-relationship-network. The research at the individual level focuses on the identification, attribute, and type of interest subjects, and pays attention to the attribute characteristics and interest demands of each stakeholder. The relationship level focuses on the relationship structure and relationship behavior of interest subjects, and focuses on the influence of their relationship behavior on the performance and risk of scientific and technological innovation from the perspectives of responsibility and pressure. At the network level, it mainly explores from the three aspects of network attributes, operation mechanism, and governance, mostly from the perspective of network embedding and topology structure. Future research focuses on the evolutionary game of stakeholders, ethical issues, collaborative innovation networks, innovation ecosystems and so on.