Journal of Global Information Management
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.
Original Publication Citation
Sun, Y., Li, L., Chen, Y., & Kataev, M. Y. (2021). An empirical study on innovation ecosystem, technological trajectory transition, and innovation performance. Journal of Global Information Management, 29(4), 148-171. http://dx.doi.org/10.4018/JGIM.20210701.oa7
Sun, Yu; Li, Ling; Chen, Yong; and Kataev, Mikhail Yu, "An Empirical Study on Innovation Ecosystem, Technological Trajectory Transition, and Innovation Performance" (2021). Information Technology & Decision Sciences Faculty Publications. 39.