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dc.contributor.advisorFiona Murray.en_US
dc.contributor.authorDaines, Gregory Pen_US
dc.contributor.otherSloan School of Management.en_US
dc.date.accessioned2007-11-16T14:18:09Z
dc.date.available2007-11-16T14:18:09Z
dc.date.copyright2007en_US
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/39530
dc.descriptionThesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 2007.en_US
dc.descriptionIncludes bibliographical references (leaves 68-71).en_US
dc.description.abstractInnovation has become the dominant economic idea of our time and has resulted in a proliferation of innovation-oriented rhetoric, and policies. There is a great need to understand and harness innovation, but it has proven to be as difficult to measure as it is to define. At present, the quest to understand innovation hinges on finding reliable ways to identify and measure it, the most promising of which is the analysis of patent information. Patents have been increasingly used by economists to track inventiveness, the transmission of knowledge, and their economic impact. However, it is evident that the maiority of patents have little or no economic potential, and so merely observing the number of patents provides little insight on innovation. It has become important, therefore, to develop reliable methods for measuring the true economic potential of patents. Of all the solutions proposed, the analysis of patent citations is the most promising. This study examines the relationship between patent citations and the private economic value of patents, and makes both theoretical and empirical contributions.en_US
dc.description.abstract(cont.) First, the previous literature is reviewed to further extend and clarify the theory of the economic meaning of patent citations. Second, a typology of patent value is proposed to contextualize the relevance of the theory under different appropriation regimes. Finally, this study tests the economic meaning of citations using a new dataset where the licensing value of a group of patents is observed directly. The findings confirm a consistent relationship between patent citations and two different measures of patent value.en_US
dc.description.statementofresponsibilityby Gregory P. Daines.en_US
dc.format.extent71 leavesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectSloan School of Management.en_US
dc.titlePatent citations and licensing valueen_US
dc.typeThesisen_US
dc.description.degreeM.B.A.en_US
dc.contributor.departmentSloan School of Management
dc.identifier.oclc173993864en_US


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