| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w19764 |
| 来源ID | Working Paper 19764 |
| Dynamic Commercialization Strategies for Disruptive Technologies: Evidence from the Speech Recognition Industry | |
| Matt Marx; Joshua S. Gans; David H. Hsu | |
| 发表日期 | 2013-12-19 |
| 出版年 | 2013 |
| 语种 | 英语 |
| 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. |
| 主题 | Development and Growth ; Innovation and R& ; D |
| URL | https://www.nber.org/papers/w19764 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/577438 |
| 推荐引用方式 GB/T 7714 | Matt Marx,Joshua S. Gans,David H. Hsu. Dynamic Commercialization Strategies for Disruptive Technologies: Evidence from the Speech Recognition Industry. 2013. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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