The relationship between knowledge sharing capability and innovation performance within industrial clusters

Ying Han and Guohong Chen

Journal of Chinese Economic and Foreign Trade Studies, 2018, vol. 11, issue 1, 32-48

Abstract: Purpose - The purpose of this paper is to clarify the influence of knowledge sharing on innovation performance from the knowledge-based dynamic capabilities perspective within industrial clusters. Design/methodology/approach - This paper designed a five-point Likert questionnaire measuring knowledge sharing, dynamic capabilities, trust and innovation performance, and a sample was collected from the industrial clusters within Fujian province in China. Empirical analysis was applied to test the hypotheses. Findings - Significant relationships were found between knowledge sharing and innovation performance. Three key characteristics of dynamic capabilities were distinguished, namely, knowledge acquisition capability, knowledge integration capability and knowledge creative capabilities. On this basis, further analysis found that dynamic capabilities played a mediating role in this relationship, and trust was a significant moderator. Practical implications - This paper helps to understand the mechanism between knowledge sharing, knowledge-based dynamic capabilities, trust and innovation. Managers should focus on contributing to knowledge sharing activities, dynamic capabilities and trustful environment to improve innovation effectively. Originality/value - This paper contributes to the burgeoning literature on the relationship between knowledge sharing and innovation performance in China. Further, it highlights the crucial role of cluster knowledge management in contributing to innovation and management practices.

Keywords: China; Trust; Dynamic capabilities; Knowledge sharing; Innovation performance (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (text/html)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (application/pdf)
Access to full text is restricted to subscribers

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:eme:jcefts:jcefts-06-2017-0018

DOI: 10.1108/JCEFTS-06-2017-0018

Access Statistics for this article

Journal of Chinese Economic and Foreign Trade Studies is currently edited by Dr Yixiao Zhou

More articles in Journal of Chinese Economic and Foreign Trade Studies from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support ().