Relational embeddedness and disruptiveness of innovation: The mediating role of absorptive capacity

We developed a model in which absorptive capacity mediates between knowledge network relational embeddedness and disruptive innovation performance. Using a survey-based sample of 251 Chinese firms, this study's findings show that relational trust between knowledge network linkages will enhance corporation disruptive innovation performance through the mediation of exploratory learning. In the three dimensions of ACAP, exploratory learning is the only factor which can foster disruptive innovation performance. In contrast, neither transformative learning nor exploitative learning has direct impact on disruptiveness of innovation. More surprisingly, our research suggests that relational closeness with knowledge network linkages has no relationship with disruptive innovation. Relational closeness of knowledge network may only improve transformative learning and exploitative learning but not exploratory learning. Implications for the theory and practice of disruptive innovation are discussed, and future research directions offered.