Collaborative innovation network and knowledge transfer performance: A fsQCA approach

Xuemei Xie, Liangxiu Fang and Saixing Zeng

Journal of Business Research, 2016, vol. 69, issue 11, 5210-5215

Abstract: Under the context of “open innovation”, scholars increasingly consider collaborative innovation network as an effective framework to enable firms' knowledge transfer. This study examines four factors of collaborative innovation network that affect the level of knowledge transfer performance of firms, viz., network size, network heterogeneity, network tie-strength, and network centrality. Based on a survey to high-tech firms in China, this study uses fuzzy-set Qualitative Comparative Analysis (fsQCA) to explore the relationships between collaborative innovation network and knowledge transfer performance. This study supports the argument that different causal paths explain knowledge transfer performance of firms. The findings reveal that the presence of network size, network tie-strength, and network centrality determines the level of knowledge transfer performance. However, network heterogeneity does not show significant impact on the knowledge transfer performance. The findings also identify theoretical and practical implications of collaborative innovation network and knowledge transfer research.

Keywords: Collaborative innovation network; Knowledge transfer performance; Fuzzy-set Qualitative Comparative Analysis (fsQCA) (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (42)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296316302946
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:69:y:2016:i:11:p:5210-5215

DOI: 10.1016/j.jbusres.2016.04.114

Access Statistics for this article

Journal of Business Research is currently edited by A. G. Woodside

More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().