• 中国科学学与科技政策研究会
  • 中国科学院科技战略咨询研究院
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

科学学研究 ›› 2022, Vol. 40 ›› Issue (4): 758-768.

• 技术创新与制度创新 • 上一篇    

什么样的新型研发机构更具有高创新绩效? ———基于TOE 框架的组态分析

张玉磊1,张光宇1,马文聪2,黄水芳2   

  1. 1. 广东工业大学
    2. 广东工业大学管理学院
  • 收稿日期:2021-03-04 修回日期:2021-07-06 出版日期:2022-04-15 发布日期:2022-04-15
  • 通讯作者: 马文聪
  • 基金资助:
    国家自然科学基金面上项目;国家自然科学基金面上项目;教育部人文社科研究一般项目;广州市哲社规划2020共建项目;2021 年广东省科技创新战略专项

What kind of new R&D institutions have higher innovation performance? ——Configuration analysis based on TOE framework

  • Received:2021-03-04 Revised:2021-07-06 Online:2022-04-15 Published:2022-04-15

摘要: 以广东省39家新型研发机构为研究样本,运用模糊集定性比较方法(fsQCA)探讨了新型研发机构产生高创新绩效的影响因素及其提升路径。研究发现:(1)单个影响因素难以推动新型研发机构实现高创新绩效,但不同因素的组合构型具有显著影响;(2)存在5条驱动高创新绩效的路径,包括技术驱动政府支撑型、技术驱动环境支撑型、组织支撑生态促进型、生态支撑人才促进型和全维度协同型;(3)非高创新绩效的驱动机制为1条路径,且与高创新绩效的驱动路径存在非对称性关系。研究结论不仅拓展了新型研发机构绩效管理领域的理论,还为政府和新型研发机构优化绩效提升路径提供决策支持。

Abstract: 39 new research and development institutions in Guangdong province were selected as the research samples, this paper uses the method of fuzzy set qualitative comparison (fsQCA) to explore the influencing factors of high innovation performance of new R&D institutions and the promotion path. The results show that: (1) it is difficult for a single factor to promote the new R&D institutions to achieve high innovation performance, but the combination of different factors has a significant impact; (2) there are five problems There are three ways to drive high innovation performance: technology driven government support, technology driven environment support, organization supported ecological promotion, ecological support talent promotion and full dimension collaborative; (3) the driving mechanism of non-high innovation performance is divided into one path, and there is an asymmetric relationship with the driving path of high innovation performance. The research conclusions not only expand the theory of performance management of new R&D institutions, but also provide decision support for the government and new R&D institutions to optimize the path of performance improvement.