Dual Innovation Performance through Knowledge-Based Network Structure: Evidence from Electronic Information Industry

Abstract

This study analyzes how knowledge-based network affects the dual innovation performance. Dual innovation includes exploratory and exploitative innovation, and knowledge-based network represents the relationships among knowledge-based elements. We take 269 enterprises having gone public in Shanghai and Shenzhen stock markets of the electronic information industry of China as samples and get the patent data for 5 years from 2014 to 2018. We consider building the knowledge-based network structure based on social network analysis method, and measure three features of the knowledge-based network, that are density, centralization and structure hole. We test the relationship between three network features and dual innovation performance through negative binomial regression method. The results indicate that there is an inverted U-Curve relationship between density and exploitative innovation performance. There is an inverted U-curve relationship between centralization and exploratory innovation performance. There is an inverted U-curve connection between the structure hole and the dual innovation performance.