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Dynamic commercialization strategies for disruptive technologies : evidence from the Speech Recognition Industry

著者: Matt Marx; Joshua Gans; David H Hsu; National Bureau of Economic Research.
出版商: Cambridge, Mass. : National Bureau of Economic Research, 2013.
丛书: Working paper series (National Bureau of Economic Research), no. 19764.
版本/格式:   电子图书 : 文献 : 英语查看所有的版本和格式
数据库:WorldCat
提要:
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  再读一些...
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材料类型: 文献, 互联网资源
文件类型: 互联网资源, 计算机文档
所有的著者/提供者: Matt Marx; Joshua Gans; David H Hsu; National Bureau of Economic Research.
OCLC号码: 868158921
注意: Title from http://www.nber.org/papers/19764 viewed January 15, 2014.
"December 2013."
描述: 1 online resource (36 p.) : ill.
丛书名: Working paper series (National Bureau of Economic Research), no. 19764.
责任: Matt Marx, Joshua S. Gans, David H. Hsu.

摘要:

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.

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