Research on the impact of global innovation network on corporate performance

ABSTRACT

In this study, we attempted to fill a gap that literature has yet to investigate: the impact of global innovation network on corporate performance. Based on 347 valid questionnaire data, this paper uses regression analysis to explore which innovative network elements have an impact on the performance of Chinese 3D printing companies. The research results show that the structural characteristics of global innovation networks, the willingness of integrating network and the capability of integrating network are all positively correlated with the performance of 3D printing companies. There is no obvious correlation between the scale of the enterprise, the stage of enterprise development and corporate performance. The research conclusions will provide theoretical support for 3D printing companies to formulate global innovation strategies and policies.

KEYWORDS:

• 3D printing
• global innovation network
• regression analysis
• corporate performance

Acknowledgements

This study is supported by the Grant from National Natural Science Foundation of China (No. 72004107)；by the Grant from China Postdoctoral Science Foundation (No. 2019M660702) and by the Grant from National Social Science Fund of China (No. 20&ZD075).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This study is supported by the Grant from National Natural Science Foundation of China [grant number 72004107]; by the Grant from China Postdoctoral Science Foundation [grant number 2019M660702] and by the Grant from National Social Science Fund of China [grant number 20&ZD075].

Notes on contributors

Xu Bai

Xu Bai was born in Yingkou city, Liaoning province in 1989. She has obtained doctoral degree in Beijing Institute of Technology. She has studied abroad for one year in New York State University in 2011. Now she is working in Tsinghua University as a postdoctoral fellow. Her research orientation is Innovation ecosystem, innovation and economic impact. Recently, she has published paper at Scientometrics (SCI/SSCI index), Information Development (SSCI index), Journal of Manufacturing Technology Management (SCI index), Plos One (SCI index) and so on.

Jinxi Wu

Jinxi Wu is now associate professor in the School of Social Sciences of Tsinghua University. He obtained his Ph.D. from the School of Economics & Management in Tsinghua University in 2002. Prof. Wu’s research interests focus on strategic management, knowledge management, innovation theory and policy development and innovation practice studies. Prof. Wu is involved as program chair or lecturer in different postgraduate programs on innovation management and strategies, strategic management in times of innovation, the development model of high-tech industry and emerging industries. Prof. Wu has published more than 60 articles, books, and book chapters. His work on discussing the case study methodology in leadership research has been cited for more than 100 times.

Yun Liu

Yun Liu was born in Hefei, Anhui province in 1963. He has master degree in University of Science and Technology of China and PhD degree in Wuhan University of Technology. He is working as an excellent professor in Beijing Institute of Technology from 2001 till now. He has published more than 100 academic papers in academic journals at national and international level and published five scholarly monographs. His main fields of research interest are science and technology evaluation, technology management and patent monitoring and intellectual property.

Yue Yang

Yue Yang was born in Qiqihaer city, Heilongjiang province in 1987. She has obtained doctoral degree in Dalian Institute of Technology. Now she is working in Tsinghua University as a postdoctoral fellow.

Meng Wang

Meng Wang born in Yingkou city, Heilongjiang province in 1984. He is now working as a senior engineer in Shigang Jingcheng Equipment Technology Co., Ltd.