2026-09-21T04:34:29Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/169892022-01-28T21:45:13Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Henry Birdseye Weil.
Ueda, Mitsuyuki, 1971-
Massachusetts Institute of Technology. Management of Technology Program.
Management of Technology Program.
Sloan School of Management
2005-05-19T15:33:35Z
2005-05-19T15:33:35Z
2003
2003
http://hdl.handle.net/1721.1/16989
54032546
Thesis (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program, 2003.
Includes bibliographical references (p. 129-131).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Technology-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.
by Mitsuyuki Ueda.
S.M.M.O.T.
131 p.
1359787 bytes
1359544 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.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.
http://dspace.mit.edu/handle/1721.1/7582
Management of Technology Program.
Entrepreneurial clusters in knowledge-driven economies : an essay on their evolutionary dynamics
Thesis
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<Abstract>Technology-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.</Abstract>
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