 Architecture and evolvability of innovation ecosystemsJianxi Luo Technological Forecasting and Social Change, 2018, vol. 136, issue C, 132-144 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. Keywords: Innovation ecosystem; Industry architecture; Evolvability; Networks; Simulation (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:136:y:2018:i:c:p:132-144 DOI: 10.1016/j.techfore.2017.06.033 Access Statistics for this article Technological Forecasting and Social Change is currently edited by Fred Phillips More articles in Technological Forecasting and Social Change from Elsevier |
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