Phenomenon-driven research on internationalization and innovation by bibliometric and context analyses

ABSTRACT

From the phenomenon-driven perspective, on the basis of data from Thomson Reuters Web of Science^TM database covering a period of 29 years (January 1990 to August 2019), this study employs bibliometric and content analyses to evaluate the research state of the internationalization and innovation relationship. This study is to assist internationalization scholars in positioning their research more explicitly and encourage them to deeply think about which approach and theoretical mechanisms best fit their research questions and designs.

KEYWORDS:

• Phenomenon-driven research
• internationalization
• innovation
• bibliometric analysis
• context analysis

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes on contributors

Dr. Jian Du is an associate professor on innovation management at School of Management, Zhejiang University now. Her research focuses on technology innovation, foreign direct investment and global manufacturing strategy. She published several papers in international journals. She is the project leader of two NSFC projects on foreign investment and global innovation. Dr. Jian Du is a member of editor board of Journal of Industrial Engineering and Engineering Management. She is a core member of National Institute for Innovation Management (NIIM) in Zhejiang University. She was a visiting professor of Kellogg School of Management in the USA, and a visiting scholar of IfM Cambridge University in UK.

Sasa Ding is a PhD candidate at School of Management, Zhejiang University. She is graduated from School of Management, Lanzhou University, in 2013, with a Management Master Degree; and with a Management Bachelor Degree from School of Management, Lanzhou University in 2010. Her research interest is technology innovation, enterprise's internationalization and global manufacturing strategy.

ORCID

Sasa Ding http://orcid.org/0000-0002-6259-8285

Additional information

Funding

This work was supported by National Natural Science Foundation of China: [Grant Number 71672176, 71832013].