Dynamic Commercialization Strategies for Disruptive Technologies : Evidence from the Speech Recognition Industry
Matt Marx, Joshua S. Gans, David H. Hsu
When startup innovation involves a potentially disruptive technology - initially lagging in the predominant performance metric, but with a potentially favorable trajectory of improvement - incumbents may be wary of engaging in cooperative commercialization with the startup. While the prevailing theory of disruptive innovation suggests that this will lead to (exclusively) competitive commercialization and the eventual replacement of incumbents, we consider a dynamic strategy involving product market entry before switching to a cooperative commercialization strategy. Empirical evidence from the automated speech recognition industry from 1952-2010 confirms the main prediction of the model
Year of publication: |
December 2013
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Authors: | Marx, Matt |
Other Persons: | Hsu, David H. (contributor) ; Gans, Joshua S. (contributor) |
Institutions: | National Bureau of Economic Research (contributor) |
Publisher: |
Cambridge, Mass : National Bureau of Economic Research |
Subject: | Welt | World | Kommerzialisierung | Commercialization | Innovationsmanagement | Innovation management | Produktentwicklung | New product development | Theorie | Theory | Unternehmenskooperation | Inter-firm cooperation | Sprachverarbeitung | Speech processing | Produktlebenszyklus | Product life cycle | Unternehmensgründung | Business start-up |
Saved in:
Extent: | 1 Online-Ressource |
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Series: | NBER working paper series ; no. w19764 |
Type of publication: | Book / Working Paper |
Language: | English |
Notes: | Mode of access: World Wide Web System requirements: Adobe [Acrobat] Reader required for PDF files Hardcopy version available to institutional subscribers. |
Other identifiers: | 10.3386/w19764 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012458899