Innovation plays an essential role in firms' competitiveness and long-term success. It varies from different types, ranging from run-of-the-mill innovation that brings incremental changes to... Show moreInnovation plays an essential role in firms' competitiveness and long-term success. It varies from different types, ranging from run-of-the-mill innovation that brings incremental changes to existing technologies to radical innovation that breaks from existing trajectories. The aim of this PhD dissertation is to integrate radical innovation and social network literature to broaden theoretical understanding, especially contribute to the literature on social networks, creativity, and innovation, and inform innovation management by unpacking the drivers and effects of radical innovation. Focusing on the long-standing debates in the social network literature regarding which types of networks are more advantageous for innovation, this dissertation starts with investigating how tie strength and structural holes collectively affect innovation radicalness at a location within an innovating firm. Then this dissertation investigates how social structure for producing a creative idea influences the adoption and future use of its innovations and makes a novel contribution by exploring how this effect is contingent on the radical nature of the creative idea. In addition to contributing to this long-standing debate, this dissertation also investigates how radicalness affects the private value for the innovating firm. Show less
This paper studies the relationship between egocentric collaboration networks and knowledge creation at the individual level. For egocentric networks we focus on the characteristics of tie strength... Show moreThis paper studies the relationship between egocentric collaboration networks and knowledge creation at the individual level. For egocentric networks we focus on the characteristics of tie strength and tie configuration, and knowledge creation is assessed by the number of citations. Using a panel of 1042 American scientists in five disciplines and fixed effects models, we found an inverted U-shaped relationship between network average tie strength and citation impact, because an increase in tie strength on the one hand facilitates the collaborative knowledge creation process and on the other hand decreases cognitive diversity. In addition, when the network average tie strength is high, a more skewed network performs better because it still has a “healthy” mixture of weak and strong ties and a balance between exploration and exploitation. Furthermore, the tie strength skewness moderates the effect of network average tie strength: both the initial positive effect and the later negative effect of an increase in tie strength are smaller in a more skewed network than in a less skewed one. Show less
