The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Innovation ecosystems and the pace of substitution: Re‐examining technology S‐curves
Open accessAbstract
Why do some new technologies emerge and quickly supplant incumbent technologies while others take years or decades to take off? We explore this question by presenting a framework that considers both the focal competing technologies as well as the ecosystems in which they are embedded. Within our framework, each episode of technology transition is characterized by the ecosystem emergence challenge that confronts the new technology and the ecosystem extension opportunity that is available to the old technology. We identify four qualitatively distinct regimes with clear predictions for the pace of substitution. Evidence from 10 episodes of technology transitions in the semiconductor lithography equipment industry from 1972 to 2009 offers strong support for our framework. We discuss the implication of our approach for firm strategy. Copyright © 2015 John Wiley & Sons, Ltd.
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Self-citationUnpacking the innovation ecosystem construct: Evolution, gaps and trends
Gomes, L. A. D. V., Facin, A. L. F., Salerno, M. S., & Ikenami, R. K. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.11.009 · Cited by 836
Disruptive Innovation: An Intellectual History and Directions for Future Research
Christensen, C. M., McDonald, R., Altman, E. J., & Palmer, J. E. (2018) · Journal of Management Studies · doi:10.1111/joms.12349 · Cited by 789
How firms navigate cooperation and competition in nascent ecosystems
Hannah, D. P., & Eisenhardt, K. M. (2018) · Strategic Management Journal · doi:10.1002/smj.2750 · Cited by 692
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Metadata
- Authors
- Adner, R., & Kapoor, R.
- Venue
- Strategic Management Journal
- Publisher
- Wiley
- Published
- 2015-03-16
- Volume
- 37
- Issue
- 4
- Pages
- 625-648
- ISSN
- 0143-2095 (ISSN-L)
- 1097-0266
- OpenAlex
- W1851730431
- Cited by
- 620
- References
- 88
- FWCI
- 38.24
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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