Abstract
Research on innovation performance has gradually moved from the industrial clusters level to network relations among enterprises inside clusters. This paper intends to explain the impacts of network strength, breadth and stability on the innovation performance of Startups. An empirical analysis of high-tech Startups from 6 provinces of central China displays that, network strength and breadth exert a significant positive impact on Startups‘ innovation performance, network stability a relatively weak one, and that environmental dynamism plays a negative role mediating between network breadth and the innovation performance.
Highlights
Central China is a typical low income region in China‘s economic blocks as well as an emerging market with huge potentialities
High-tech startups greatly promote the regional economic growth in non-public sector. They have created many jobs opportunities for the middle and lower end labor force in central China and even attracted overseas high-end talents clustering in this low income region
By analyzing almost 350 high-tech startups in 24 hightechnology national development zones of central China, this paper empirically studies the impacts of three network structural features, network strength, network breadth and network stability on the innovation performance
Summary
Central China is a typical low income region in China‘s economic blocks as well as an emerging market with huge potentialities. High-tech startups greatly promote the regional economic growth in non-public sector Fourth, they have created many jobs opportunities for the middle and lower end labor force in central China and even attracted overseas high-end talents clustering in this low income region. High-tech startups can adjust the operation strategies, cooperation and competition more flexibly, acquire a lower-cost advantage and more market opportunities, and improve the cluster‘s level and function through individual growth. In studying the impacts of network relations on enterprise performance, most scholars refer to transaction cost theory, game theory, the resource-based theory, and the knowledge-based theory to explain the functioning mechanism within. These theories can rarely explain such impacts comprehensively. The participating subjects in the network rely on each other and share risks (Wu Aiqi, 2005)
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