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author:

Han, Y. (Han, Y..) [1] | Chen, G. (Chen, G..) [2] (Scholars:陈国宏)

Indexed by:

Scopus

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. © 2018, Emerald Publishing Limited.

Keyword:

China; Dynamic capabilities; Innovation performance; Knowledge sharing; Trust

Community:

  • [ 1 ] [Han, Y.]School of Economics and Management, Fuzhou University, Fujian, China
  • [ 2 ] [Chen, G.]School of Economics and Management, Fuzhou University, Fujian, China

Reprint 's Address:

  • 陈国宏

    [Chen, G.]School of Economics and Management, Fuzhou UniversityChina

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Source :

Journal of Chinese Economic and Foreign Trade Studies

ISSN: 1754-4416

Year: 2018

Issue: 1

Volume: 11

Page: 32-48

1 . 1 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 13

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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