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Knowledge, understanding and the dynamics of medical innovation

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Author Info
Ramlogan, Ronnie
Consoli, Davide

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Abstract

This paper investigates the processes by which scientific knowledge is created and legitimized. It focuses on scientific developments in a branch of medicine and explores the pathways through which the growth of knowledge enables advances in medical science and in clinical practice. This work draws conceptually on evolutionary approaches to technological change. The empirical part presents a longitudinal analysis of a database of scientific publications in the field of ophthalmology over a period of 50 years. Such an exercise allows us to identify pathways of shared understanding on a disease area, and to map out distinctive trajectories followed by the ophthalmology research community. The paper also contributes to general understanding of the innovation process by supporting the notion that knowledge coordination is a distributed process that cuts across and connects complementary areas of expertise.

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File URL: http://mpra.ub.uni-muenchen.de/9112/
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 9112.

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Date of creation: 01 Apr 2008
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Handle: RePEc:pra:mprapa:9112

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Find related papers by JEL classification:
O33 - Economic Development, Technological Change, and Growth - - Technological Change - - - Technological Change: Choices and Consequences; Diffusion Processes
D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
O31 - Economic Development, Technological Change, and Growth - - Technological Change - - - Innovation and Invention: Processes and Incentives

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Leydesdorff, Loet & Gauthier, Elaine, 1996. "The evaluation of national performance in selected priority areas using scientometric methods," Research Policy, Elsevier, vol. 25(3), pages 431-450, May. [Downloadable!] (restricted)
  2. Metcalfe, J S, 2001. "Institutions and Progress," Industrial and Corporate Change, Oxford University Press, vol. 10(3), pages 561-86, September.
  3. Richard R. Nelson, 1995. "Recent Evolutionary Theorizing about Economic Change," Journal of Economic Literature, American Economic Association, vol. 33(1), pages 48-90, March. [Downloadable!] (restricted)
  4. Richard R. Nelson, 2003. "On the Uneven Evolution of Human Know-How," LEM Papers Series 2003/25, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy. [Downloadable!]
    Other versions:
  5. Davide Consoli & Ronnie Ramlogan, 2008. "Out of sight: problem sequences and epistemic boundaries of medical know-how on glaucoma," Journal of Evolutionary Economics, Springer, vol. 18(1), pages 31-56, February. [Downloadable!] (restricted)
  6. Loasby, Brian J., 1998. "The organisation of capabilities," Journal of Economic Behavior & Organization, Elsevier, vol. 35(2), pages 139-160, April. [Downloadable!] (restricted)
    Other versions:
  7. Metcalfe, J.S. & James, Andrew & Mina, Andrea, 2005. "Emergent innovation systems and the delivery of clinical services: The case of intra-ocular lenses," Research Policy, Elsevier, vol. 34(9), pages 1283-1304, November. [Downloadable!] (restricted)
  8. Mina, A. & Ramlogan, R. & Tampubolon, G. & Metcalfe, J.S., 2007. "Mapping evolutionary trajectories: Applications to the growth and transformation of medical knowledge," Research Policy, Elsevier, vol. 36(5), pages 789-806, June. [Downloadable!] (restricted)
  9. B Kogut & U Zander, 2003. "Knowledge of the firm and the evolutionary theory of the multinational corporation," Journal of International Business Studies, Palgrave Macmillan Journals, vol. 34(6), pages 516-529, November. [Downloadable!] (restricted)
  10. Brian J. Loasby, 2001. "Time, knowledge and evolutionary dynamics: why connections matter," Journal of Evolutionary Economics, Springer, vol. 11(4), pages 393-412. [Downloadable!] (restricted)
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