• 中国科学学与科技政策研究会
  • 中国科学院科技政策与管理科学研究所
  • 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 ›› 2016, Vol. ›› Issue (9): 1432-1440.

• 技术创新与制度创新 • 上一篇    

技术创新网络组织惯性对双元创新的影响研究

党兴华,魏龙,闫海   

  1. 西安理工大学
  • 收稿日期:2015-09-15 修回日期:2016-01-09 出版日期:2016-09-15 发布日期:2016-09-22
  • 通讯作者: 魏龙
  • 基金资助:

    国家自然科学基金资助项目;国家自然科学基金资助项目;陕西省重点学科建设专项资金项目;陕西省教育厅哲学社会科学重点研究基地项目

Study on the organizational inertia of technological innovation network and effect on ambidexterity innovation

  • Received:2015-09-15 Revised:2016-01-09 Online:2016-09-15 Published:2016-09-22

摘要: 针对创新组织的适应性行为,通过分析技术创新网络组织惯性产生的根源性,从结构惯性和认知惯性两个维度,探究组织惯性对渐进式创新和突破式创新的差异性影响,并引入网络嵌入性作为调节变量。以研发强度较高的行业为对象进行问卷调研,运用多元回归模型进行实证检验。研究结果表明:组织惯性对渐进式创新存在显著的正向影响,相比认知惯性,结构惯性更有助于促进渐进式创新;组织惯性与突破式创新之间存在显著的倒U型关系,相比结构惯性,适度的认知惯性更有助于促进突破式创新;关系嵌入在组织惯性对双元创新的影响过程中起到了显著的调控作用,结构嵌入的调控作用部分支持。研究结论有助于揭示技术创新网络组织的适应性行为特征,对于提升组织创新能力、维持网络稳定具有重要意义。

Abstract: In order to deal with the adaptive behavior of innovation organization, this paper analysis the emergence characteristics of organizational inertia in technological innovation network. By constructing a framework of structure inertia and cognitive inertia to explore the effect on ambidexterity innovation in different network embeddedness. Then an empirical test is made by multiple regressions with high-tech industry data. The results show that organizational inertia can not only help to promote incremental innovation, but also the structure inertia is better than cognitive inertia for incremental innovation. The relationship between organizational inertia with radical innovation shows a reversed U-shape, the cognitive inertia is better than structure inertia for radical innovation. In the relationships between organizational inertia and ambidexterity innovation, the relational embeddedness’s moderated effect is confirmed. But structure embeddedness’s moderated effect is partly confirmed. This research can reveal the adaptive behavior of innovation organization in technological innovation network, which has significant meaning to improve the innovation ability and stability of technology innovation network.