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dc.contributor.advisorHenry Birdseye Weil.en_US
dc.contributor.authorUeda, Mitsuyuki, 1971-en_US
dc.contributor.otherMassachusetts Institute of Technology. Management of Technology Program.en_US
dc.date.accessioned2005-05-19T15:33:35Z
dc.date.available2005-05-19T15:33:35Z
dc.date.copyright2003en_US
dc.date.issued2003en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/16989
dc.descriptionThesis (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program, 2003.en_US
dc.descriptionIncludes bibliographical references (p. 129-131).en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.description.abstractTechnology-based entrepreneurship tends to cluster in certain regions. The most famous examples include Silicon Valley and the Route 128 area of Boston. The results of this study provide insight into why and how such entrepreneurial clusters have evolved to generate more entrepreneurial opportunities than others. With a proposed framework, the thesis first examines their evolutionary dynamics along with the System Dynamics models and the Silicon Valley case. The results show their self-reinforcing characteristics and the implication that those clusters won't start their self-reinforcing process easily at the beginning of the evolution. Subsequently, the thesis compares three case studies of Cambridge, Munich, and Tokyo, in addition to the case of Silicon Valley. The results show a similar pattern of a series of abnormal events in the history of each cluster that prompted the start of the self-reinforcing process. Throughout the study, the framework demonstrates its usefulness to streamline many factors involved, state the conditions of the entrepreneurial clusters, and extract the characteristics of the evolutionary dynamics of those clusters.en_US
dc.description.statementofresponsibilityby Mitsuyuki Ueda.en_US
dc.format.extent131 p.en_US
dc.format.extent1359787 bytes
dc.format.extent1359544 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
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.subjectManagement of Technology Program.en_US
dc.titleEntrepreneurial clusters in knowledge-driven economies : an essay on their evolutionary dynamicsen_US
dc.typeThesisen_US
dc.description.degreeS.M.M.O.T.en_US
dc.contributor.departmentManagement of Technology Program.en_US
dc.contributor.departmentSloan School of Management
dc.identifier.oclc54032546en_US


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