An Empirical Study on Innovation Ecosystem, Technological Trajectory Transition, and Innovation Performance
An Empirical Study on Innovation Ecosystem, Technological Trajectory Transition, and Innovation Performance
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DOI：
10.4018/jgim.20210701.oa7
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发表时间：
2021-07
期刊：
影响因子：
--
通讯作者：
Yu Sun;L. Li;Yong Chen;M. Kataev
中科院分区：
文献类型：
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作者：
Yu Sun;L. Li;Yong Chen;M. Kataev
本文从创新生态系统的角度探讨了技术轨迹变迁及其对市场后发企业创新绩效的影响。建立了结构方程模型，并用中国的366家企业的数据进行了检验。具体而言，本文将技术轨迹转换分为创造性累积技术轨迹转换(CCT)和创造性颠覆性技术轨迹转换(CDT)。研究结果表明，企业组织学习能力对其技术轨迹转换和创新绩效有正向影响。企业网络关系强度对其技术轨迹转换有负向影响，对创新绩效有正向影响。政府对环境的关注对企业的技术轨迹转换和创新绩效有正向影响，而企业对环境的关注对企业的技术轨迹转换和创新绩效没有影响。CCT不会对其创新绩效产生正向影响。相反，CDT对其创新绩效有正向影响。
This paper explores technological trajectory transition in the perspective of innovation ecosystem and their effect on innovation performance of latecomers in market. A structural equation model is developed and tested with data collected from 366 firms in China. In specific, this paper categories technological trajectory transition creative accumulative technological trajectory transition (CCT) and creative disruptive technological trajectory transition (CDT). The results indicate that firms' organizational learning ability positively affect their technological trajectory transition and innovation performance. Firms' network relationship strength negatively affects their technological trajectory transition and positively affect their innovation performance. Governments' environmental concerns positively affect firms' technological trajectory transition and their innovation performance, whereas firms' environmental concerns do not. CCT does not positively affect their innovation performance. In contrast, CDT positively affects their innovation performance.