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dc.contributor.advisorFiona E. Murray and R. Rox Anderson.en_US
dc.contributor.authorWehby, Richard George, 1957-en_US
dc.contributor.otherHarvard University--MIT Division of Health Sciences and Technology.en_US
dc.date.accessioned2005-09-27T17:12:40Z
dc.date.available2005-09-27T17:12:40Z
dc.date.copyright2004en_US
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/28593
dc.descriptionThesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2004.en_US
dc.descriptionVita.en_US
dc.descriptionIncludes bibliographical references (leaf 72).en_US
dc.description.abstractThis thesis is part of a larger body of research being undertaken by Dr. Fiona Murray and colleagues examining value creation and sharing between and among the three principal players in the commercialization of academic biomedical research: universities, biotech firms, and big pharma. The Recombinant Capital database provided access to contracts for biomedical technology licensed from academe to biotech, and also subsequent contracts that included that same technology from biotech to big pharma. These two contracts comprise a contract "pair". Importantly, these contract "pairs" were unredacted, that is., all parts of the contracts, including the commercial terms, were available. This thesis will lay the foundation for later work by examining the contracts between university and biotech, from the University's point of view. The goal is to identify factors that give the university more power in a pricing negotiation, and that predict higher economic value for the contract. The Specific Aim is to determine if certain University factors have a significant effect on predicting the economic value of the university-biotech licensing agreement. Four groups of readily quantifiable factors that contain attributes that might add power to the University in its pricing negotiation with the Biotech firm were identified: Institutional factors, Single Inventor factors, Aggregate factors, and Invention factors. The hypothesis is that at least one of these factors will have a significant effect on predicting the value of the licensing agreement, as determined using ordinary- and multiple-linear regression models. In formulistic terms, the null- and test-hypotheses are: (HO) no factor has a significant effect on predicting economic value, and (HI) at least oneen_US
dc.description.abstract(cont.) one factor has a significant effect on predicting economic value. A multiple regression model of the factors as explanatory variables for the economic value of the license revealed that two independent university factors significantly predict economic value of the contract. These combined factors account for 64% of the variance of the dependent variable (in excess of control), and have coefficients that are significant (p < 0.001). The results are discussed in the context of its importance to university technology transfer officers, biotech firms and venture capitalists.en_US
dc.description.statementofresponsibilityby Richard George Wehby.en_US
dc.format.extent74 leavesen_US
dc.format.extent4039582 bytes
dc.format.extent4047132 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoen_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.subjectTechnology and Policy Program.en_US
dc.subjectHarvard University--MIT Division of Health Sciences and Technology.en_US
dc.titlePatents and licensing and the commercialization of academic biomedical researchen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Technology and Policy Program.en_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technology.en_US
dc.identifier.oclc57509147en_US


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