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Dynamic Commercialization Strategies for Disruptive Technologies: Evidence from the Speech Recognition Industry / Matt Marx, Joshua S. Gans, David H. Hsu.
- Format:
- Book
- Author/Creator:
- Marx, Matt.
- Series:
- Working Paper Series (National Bureau of Economic Research) no. w19764.
- NBER working paper series no. w19764
- Language:
- English
- Physical Description:
- 1 online resource: illustrations (black and white);
- Other Title:
- Dynamic Commercialization Strategies for Disruptive Technologies
- Place of Publication:
- Cambridge, Mass. National Bureau of Economic Research 2013.
- Summary:
- 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.
- Notes:
- Print version record
- December 2013.
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