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External heterogeneity and its impact on open innovation performance

Huang, S.; Chen, J.; Wang, Y.; Ning, L.; Sutherland, D.; Zhou, Z.; Zhou, Y.

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S. Huang

J. Chen

Y. Wang

L. Ning

Z. Zhou

Y. Zhou


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.


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 and Strategic Management, 27(2), 182-197.

Journal Article Type Article
Publication Date Jan 1, 2015
Deposit Date Sep 19, 2014
Publicly Available Date Mar 15, 2016
Journal Technology Analysis and Strategic Management
Print ISSN 0953-7325
Electronic ISSN 1465-3990
Publisher Taylor and Francis Group
Peer Reviewed Peer Reviewed
Volume 27
Issue 2
Pages 182-197
Keywords Open innovation, External innovation factors, Heterogeneity, Innovation.
Public URL


Accepted Journal Article (422 Kb)

Copyright Statement
This is an Accepted Manuscript of an article published by Taylor & Francis Group in Technology analysis and strategic management on 15/09/2014, available online at:

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