2009
DOI: 10.5465/amj.2009.47084665
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Does Patent Strategy Shape the Long-Run Supply of Public Knowledge? Evidence from Human Genetics

Abstract: We thank special issue coeditor Siobhán O'Mahony and three anonymous AMJ reviewers for their insightful comments and suggestions. We benefited from the constructive feedback of Tom Allen, Phil Anderson, Arnie Barnett, Paul David, David Gabel, Rebecca Henderson, Jane Lu, Jasjit Singh, Paula Stephan, and Scott Stern. Additional feedback was received from participants in the Academy of Management Meeting, INFORMS annual meeting, 25 th DRUID Conference, REER organized by Georgia Institute of Technology, MIT Sloan … Show more

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Cited by 129 publications
(60 citation statements)
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“…Second, our framework suggests that more attention be paid by economists to recent attempts by the corporate sector to generate new sources of profit built on the openness of knowledge production by others (Huang & Murray 2008 …”
Section: Resultsmentioning
confidence: 99%
“…Second, our framework suggests that more attention be paid by economists to recent attempts by the corporate sector to generate new sources of profit built on the openness of knowledge production by others (Huang & Murray 2008 …”
Section: Resultsmentioning
confidence: 99%
“…Although empirical evidence suggests that researchers who have strong records of patenting also have strong publication records (Buenstorf, 2009), there is some evidence that commercialization activities are associated with reduced public dissemination of knowledge (Campbell et al, 2000;Toole & Czarnitzki, 2010;Huang & Murray, 2009;Murray & Stern, 2007). Thus, the debate with regards to conflict or complementarity is ongoing, and concerns remain that increased commercialization outputs (e.g., patents, licences, royalty revenues) may be detrimental to public good research (Heisey & Adelman, 2011).…”
Section: Publication and Commercialization Of Publicly Funded Researchmentioning
confidence: 99%
“…Rather than attempting to directly discern the particulars of the endogenous cascade of interacting dynamics within an on-going cumulative innovation process, prior research has focused on making more or less square comparisons between outcomes in open regimes and comparison regimes. Predominantly, these comparisons have been made in the style of differences-in-differences, as regimes have switched while others have not (e.g., Huang and Murray, 2009;Murray et al, 2009;Boudreau, 2010;Williams, 2013). Closely kindred papers making comparisons across academic and industrial teams, both making disclosures through similar mechanisms, has proceeded with analogous crosssectional comparisons, attempting to more or less match or control for the nature of the discovery (e.g., Moon, 2011;Bikard, 2012).…”
Section: E the Approach To Statistical Inferencementioning
confidence: 99%