Empirical Investigation of the Impact of Structural Embeddedness on Cluster Enterprise Innovation Performance

Abstract

This study conducts an empirical analysis to explore the influence of structural embeddedness on innovation performance within cluster enterprises. Drawing upon insights from network theory and innovation management, we examine how the structural characteristics of inter-firm relationships within industrial clusters affect the innovation outcomes of participating enterprises. Through quantitative analysis of survey data collected from cluster firms, we investigate the extent to which factors such as network density, centrality, and connectivity contribute to innovation performance metrics such as product innovation, process innovation, and overall competitiveness. Additionally, we explore the moderating effects of cluster characteristics, industry dynamics, and firm-specific factors on the relationship between structural embeddedness and innovation performance. The findings of this study provide valuable insights for policymakers, cluster managers, and industry stakeholders seeking to leverage network structures to enhance innovation capabilities and competitiveness within industrial clusters.