NATIONAL BUREAU OF ECONOMIC RESEARCH
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Dynamic Commercialization Strategies for Disruptive Technologies: Evidence from the Speech Recognition Industry

Matt Marx, Joshua S. Gans, David H. Hsu

NBER Working Paper No. 19764
Issued in December 2013

---- Acknowledgments ----

We thank Ronnie Chatterji, Jason Davis, Chuck Eesley, April Franco, Thomas Hellmann, Ramana Nanda, Henry Sauermann, Scott Stern, and Ezra Zuckerman, as well as audience members at the Atlanta Competitive Advantage Conference, the BYU-Utah Winter Strategy Conference, Carnegie Mellon, University of Chicago, the Duke Strategy Conference, Georgia Tech, Harvard Business School, the HBS-MIT Strategy Conference, INFORMS, London Business School, Stanford, University of Toronto, and Wharton for helpful comments. We acknowledge funding from the Wharton Mack Institute for Innovation Management and the MIT Sloan Roberts E-Center Fund. We thank Greg Hum, Jacalyn Martelli, Lydia Volaitis, and Tianyu Wang for research assistance and are especially indebted to Walt Tetschner of ASRNews and Bill Meisel of TMA Associates for help obtaining archival materials. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.

---- Disclosure of Financial Relationships for Joshua S. Gans ----

During the course of this research I worked at Microsoft Research. Microsoft has a broad interest in intellectual property matters but this paper was independent of any work done for them.

Funding from the Sloan Foundation is acknowledged.

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