Exaptation in a digital innovation ecosystem:The disruptive impacts of 3D printing

Abstract

This research investigates disruptive innovation through the under-explored relationship between two ecological concepts, exaptation and ecosystems. Exaptation-driven innovation involves exploiting unintended latent functions of pre-existing technologies. Digital innovation ecosystems account for industry-spanning co-operative and competitive dynamics among firms related to innovations that combine physical and digital elements, such as 3D printing. In this work the evolution of the 3D printing ecosystem is traced over four decades, from the first patents—presented as exaptation-driven innovations—to the present threat of disruption to established manufacturing. Through a longitudinal narrative study of the formation and growth of this ecosystem, a four-phase process model is developed. This addresses gaps in the exaptation and disruptive innovation literatures with respect to innovation ecosystems. The implications for theory are that disruption requires an appropriate supporting ecosystem, but ecosystems take on a life of their own, so cultivating a healthy ecosystem means sowing the seeds of disruption within that ecosystem. For practice, this research highlights the managerial challenges of predicting disruption by exaptation-driven innovations and the constant competition for niches within ecosystems. For policy, it outlines implications concerning how best to support new innovation ecosystems and cultivate exaptation opportunities.

Publication DOI: https://doi.org/10.1016/j.respol.2019.103833
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
College of Business and Social Sciences > Aston Business School
Additional Information: © 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords: 3D printing,Digital,Disruption,Ecosystem,Exaptation,Modularity,Strategy and Management,Management Science and Operations Research,Management of Technology and Innovation
Publication ISSN: 0048-7333
Full Text Link:
Related URLs: https://www.sci ... 048733319301532 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2020-02-01
Published Online Date: 2019-08-26
Accepted Date: 2019-07-17
Authors: Beltagui, Ahmad (ORCID Profile 0000-0003-2687-0971)
Rosli, Ainurul
Candi, Marina

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