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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: Cambridge, Mass. : National Bureau of Economic Research, 2013.
シリーズ: Working paper series (National Bureau of Economic Research), no. 19764.
エディション/フォーマット:   電子書籍 : Document : Englishすべてのエディションとフォーマットを見る
データベース:WorldCat
概要:
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  続きを読む
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資料の種類: Document, インターネット資料
ドキュメントの種類: インターネットリソース, コンピューターファイル
すべての著者/寄与者: Matt Marx; Joshua Gans; David H Hsu; National Bureau of Economic Research.
OCLC No.: 868158921
注記: Title from http://www.nber.org/papers/19764 viewed January 15, 2014.
"December 2013."
物理形態: 1 online resource (36 p.) : ill.
シリーズタイトル: Working paper series (National Bureau of Economic Research), no. 19764.
責任者: Matt Marx, Joshua S. Gans, David H. Hsu.

概要:

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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