IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

An Empirical Study on Innovation Ecosystem, Technological Trajectory Transition, and Innovation Performance

An Empirical Study on Innovation Ecosystem, Technological Trajectory Transition, and Innovation Performance
View Sample PDF
Author(s): Yu Sun (School of Management, Hangzhou Dianzi University, China), Ling Li (Department of Information Technology and Decision Science, Old Dominion University, USA), Yong Chen (A. R. Sanchez, Jr. School of Business, Texas A&M International University, USA)and Mikhail Yu Kataev (Department of Control Systems, Tomsk State University of Control Systems and Radioelectronics, Russia)
Copyright: 2021
Volume: 29
Issue: 4
Pages: 24
Source title: Journal of Global Information Management (JGIM)
Editor(s)-in-Chief: Zuopeng (Justin) Zhang (University of North Florida, USA)
DOI: 10.4018/JGIM.20210701.oa7

Purchase

View An Empirical Study on Innovation Ecosystem, Technological Trajectory Transition, and Innovation Performance on the publisher's website for pricing and purchasing information.

Abstract

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.

Related Content

Peijin Li, Xiutong Yi, Chonghui Zhang, Tomas Baležentis. © 2024. 29 pages.
Hyundong Nam, Taewoo Nam, Songeun Kim. © 2024. 21 pages.
Hsiang-Lan Cheng, Chiew Mei Tan, Chao-Min Chiu, Hsin-Yi Huang, Yi-Chien Lee. © 2024. 39 pages.
Santosh Kumar Srivastava, Susmi Routray, Surajit Bag, Shivam Gupta, Justin Zuopeng Zhang. © 2024. 29 pages.
Lan Zhang, Yuwei Ye, Zixuan Meng, Ning Ma, Chia-Huei Wu. © 2024. 20 pages.
. © 2024.
Yongling Zhang, Huaqing Du, Tianyu Piao, Hongyu Shi, Sang-Bing (Jason) Tsai. © 2024. 26 pages.
Body Bottom