Network position, knowledge search, and innovation performance：Based on the perspective of global manufacturing network and local cluster network integration

Abstract

Abstract: Based on the perspective of the integration of Global Manufacturing Network (GMN) and Local Cluster Network (LCN), the hypotheses of relationship among network position, knowledge search, and innovation performance are proposed, and these hypotheses are tested by using hierarchical multiple regressions analysis with data collected from 173 firms. The results show that the scope and depth of knowledge search play the mediative roles in the relationship between GMN position and innovation performance. The results also suggest that LCN position has a supplement effect on the GMN position, namely together with GMN position, it has a positive impact on knowledge search with GMN position; it plays a moderative role in the impact of GMN position on innovation performance through the search depth. Finally, the theoretical contributions, management implications, and research suggestions are discussed.

Key words: network position, knowledge search, innovation performance, GMN, LCN

CLC Number:

F270

Hu Baoliang, Fang Gang. Network position, knowledge search, and innovation performance：Based on the perspective of global manufacturing network and local cluster network integration[J]. Science Research Management, 2013, 34(11): 18-26.

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