We use cookies to ensure that we give you the best experience on our website. You can change your cookie settings at any time. Otherwise, we'll assume you're OK to continue.

Durham University

Research & business

View Profile

Publication details

Huang, S., Chen, J., Wang, Y., Ning, L., Sutherland, D., Zhou, Z. & Zhou, Y. (2015). External heterogeneity and its impact on open innovation performance. Technology Analysis & Strategic Management 27(2): 182-197.

Author(s) from Durham


While current research commonly finds there may be an optimum overall level of search depth commitment at the apex of an inverted U relationship, it says comparatively little about the optimal allocation of search depth between competing search channels. Neither does it explore in depth the qualitative differences in the breadth of different external search channels. Here we conceptually and empirically explore the idea of the intra-search channel allocation problem using the concept of heterogeneity in search depth and breadth. We explore how variations in the distribution of open innovation search depth and breadth influnence innovation performance and in doing so contribute to a more fine grained conceptual understanding of external innovation. We do so an emerging market context, namely China. Our contributions are therefore twofold, involving both conceptual and empirical elements.