管理评论 ›› 2024, Vol. 36 ›› Issue (4): 88-99.

• 创新与创业管理 • 上一篇    

企业基础研究倾向影响因素的组态效应——基于中关村高新技术企业的QCA分析

杨媛棋1, 寇明婷1, 陈凯华2   

  1. 1. 北京科技大学经济管理学院, 北京 100083;
    2. 中国科学院大学公共政策与管理学院, 北京 100049
  • 收稿日期:2021-12-06 发布日期:2024-05-21
  • 作者简介:杨媛棋,北京科技大学经济管理学院博士研究生;寇明婷(通讯作者),北京科技大学经济管理学院教授,博士生导师,博士;陈凯华,中国科学院大学公共政策与管理学院教授,博士。
  • 基金资助:
    国家自然科学基金面上项目(72274012);教育部人文社会科学规划基金项目(22YJA630037);中央高校基本科研业务项目(FRF-TP-20-015A3)。

Configuration Effects of Influencing Factors for Basic Research Inclination of Firms—QCA Analysis Based on High-tech Firms in Zhongguancun Science Park

Yang Yuanqi1, Kou Mingting1, Chen Kaihua2   

  1. 1. School of Economics and Management, University of Science and Technology Beijing, Beijing 100083;
    2. School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049
  • Received:2021-12-06 Published:2024-05-21

摘要: 本文立足于系统整合视角构建了企业基础研究倾向影响因素的分析框架。运用定性比较分析方法(QCA),以北京中关村科技园区内198家高新技术企业为研究样本,识别检验了企业内外部多元要素对企业基础研究倾向的协同影响作用和因果复杂机制。研究发现,存在5种可推动企业产生基础研究倾向的要素组合驱动模式,包括企业内部资金主导驱动型、企业外部创新资源主导驱动型、金融资本支持下的自主驱动型、金融资本支持下的合作驱动型以及企业内外部创新资源协同支持型。这5种不同的要素联合驱动模式体现了企业基础研究倾向的多重形成路径。研究结论有利于从系统整合视角丰富企业基础研究倾向影响因素的研究,对揭示企业基础研究倾向产生的要素组合模式具有重要的理论与实践意义。

关键词: 基础研究, 定性比较分析, 影响因素, 组态效应

Abstract: Based on the perspective of system integration, this paper constructs an analytical framework of the factors influencing basic research inclination of firms. Taking 198 high-tech firms in Beijing Zhongguancun Science Park as research samples, this paper applies Qualitative Comparative Analysis (QCA) to identify and test the synergistic effects of the firms’ internal and external multi-factors on their basic research inclination and the underlying complex causal mechanisms. The results show that there are five factor combination driving models that can promote the firms’ basic research inclination, namely, the internal capital-driven model, the external innovation resource-driven model, the independent driving model backed by financial capital, the cooperation-driven model backed by financial capital, as well as the model driven jointly by internal and external innovation resources. These five different factor-driven models represent the multiple formation paths of basic research inclination of different firms. These findings are conducive to enriching the research on the influencing factors of firms’ basic research inclination from the perspective of system integration, and have important theoretical and practical significance for revealing the factor combination modes of firms’ basic research inclination.

Key words: basic research, qualitative comparative analysis, influencing factors, configuration effect