2026-09-25T08:23:28Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/89572022-01-13T07:54:52Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
John D. Sterman.
Knoll, Karin L. (Karin Lynn)
Sloan School of Management.
Sloan School of Management
2005-09-27T19:27:38Z
2005-09-27T19:27:38Z
1995
1995
http://hdl.handle.net/1721.1/8957
47005990
Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, 1995.
Includes bibliographical references (p. 193-194).
It is often difficult for companies producing new technologies to predict the acceptance pattern (or diffusion pattern) for the new technology in the marketplace. The expected diffusion pattern is important because it affects and is affected by the production, financial, sales and distribution strategies for the new technology, as well as decisions related to marketing and technical development. It is also useful if the projection of technology acceptance offers the firm insight into the factors that drive acceptance and the factors that contribute to rejection of the technology in the marketplace. This thesis develops a system dynamics model for the diffusion of a new medical technology. At the model's core is a general theory of medical technology emergence proposed by Dr. Jack Homer in his 1983 Ph.D. thesis entitled "A Dynamic Model for Analyzing the Emergence of New Medical Technologies." By parameterizing Dr. Homer's general system dynamics model to suit the new technology case, it is hoped that the model will give rise to a greater understanding of the factors relevant to diffusing the technology, as well as lead to more informed managerial decision making as progress is made with the technology.
by Karin L. Knoll.
S.M.
194 p.
20747524 bytes
20747280 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
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http://dspace.mit.edu/handle/1721.1/7582
Sloan School of Management.
A system dynamics model for the diffusion of a new technology
Thesis
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Publication
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unknown
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