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Architecture and evolvability of innovation ecosystems

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  • Luo, Jianxi
Abstract
Prior studies have implied that the architecture of firms' participation in an innovation ecosystem may affect the evolvability of their own ecosystems, thus conditioning firm strategies and performance. However, specific influences are unknown. In this paper, we abstract and model an innovation ecosystem as a network of firms connected by their technological dependences and assess its evolvability in the framework of the NK model. Network simulations suggest that although firms' influence diversity promotes ecosystem evolvability, their influence density limits ecosystem evolvability. We also relate these findings to empirically observed differences in the architecture and evolvability of the automotive and electronics ecosystems. Implications from our findings may help firms either to better sense their ecosystems' evolution prospects and adjust their strategies accordingly or to design and manage their technological dependences and the architecture of their ecosystem participation to influence the evolvability of their ecosystem in favor of their strategic intents and capability advantages.

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  • Luo, Jianxi, 2018. "Architecture and evolvability of innovation ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 132-144.
    • Handle: RePEc:eee:tefoso:v:136:y:2018:i:c:p:132-144
    DOI: 10.1016/j.techfore.2017.06.033
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