Abstract
New technologies emerge, diffuse, and develop in many time-and space-related dimensions, thereby substituting for and/or coexisting with old technologies. This chapter presents a systems model of this process in terms of ordinary physical time, and of an organizational space rather than a physical space. In the organizational space, a new technology diffuses both among different organizations and among different locations or units within the same organization. In principle this could be looked upon as a special kind of spatial diffusion since the organizational space could be endowed with a topology, for instance a metric, that expresses the important characteristics of organizational neighborhoods and distances in terms of communication and decision-making structures.
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References
Astebro, T., 1989, Intra-Firm Di f fusion Patterns of Electronic Mail Systems, Paper presented at the IIASA Conference on Diffusion of Technologies and Social Behavior, 14–16 June 1989, International Institute for Applied Systems Analysis, Laxenburg, Austria.
Eliasson, G., 1987, The Dynamics of Supply and Economic Growth: How Industrial Knowledge Accumulation Drives a Path Dependent Economic Process, IUI, Working Paper No. 182, The Industrial Institute for Economic and Social Research, Stockholm, Sweden.
Freeman, C., Clark, J., and Soete, L., 1982, Unemployment and Technical Innovation, Frances Pinter, London, UK.
Dosi, G., 1988, Sources, procedures, and microeconomic effects of innovation, Journal of Economic Literature 26: 1120–1171.
Granstrand, O., 1982, Technology, Management and Markets, Frances Pinter, London, UK.
Granstrand, O. and Sjölander, S., 1990, Managing innovations in multi-technology corporations, Research Policy 19 (1): 35–60.
Mahajan, V. and Peterson, R.A., 1985, Models for Innovation Diffusion, Sage Publications Ltd., London, UK.
Mansfield, E., 1968, Industrial Research and Technological Innovation, Norton & Co., New York, NY, USA.
Mansfield, E., Rapoport, J., Romeo, A., Villani, E., Wagner, S., and Husic, F., 1977, The Production and Application of New Industrial Technology, Norton and Co., New York, NY, USA.
Metcalfe, J.S., 1981, Impulse and diffusion in the study of technical change, Futures 13 (5): 347–359.
Metcalfe, J.S., 1988, The diffusion of innovation: an interpretative survey, in G. Dosi et al,eds., Technical Change and Economic Theory,Pinter Publishers, London and New York.
Nelson, R.R. and Winter, S., 1982, An Evolutionary Theory of Economic Change, The Belknap Press of Harvard University Press, Cambridge, MA, USA.
Rosenberg, N., 1976, Perspectives on Technology, Cambridge University Press, Cambridge, UK.
Sahal, D., 1981, Patterns of Technological Innovation, Addison-Wesley, Reading, MA, USA.
Sharif, M.N. and Ramanathan, K., 1984, Temporal Models of Innovation Diffusion, IEEE Transactions on Engineering Management, Vol. EM-31, No. 2: 76–86.
Stoneman, P. and Ireland, N.J., 1983, The role of supply factors in the diffusion of new process technology, Economic Journal Conference Papers 93: 66–78.
von Hippel, E., 1976, The dominant role of users in the scientific instrument innovation process, Research Policy 5: 212–239.
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Granstrand, O. (1991). Temporal Diffusion and Population Dynamics: A Systems Model. In: Nakićenović, N., Grübler, A. (eds) Diffusion of Technologies and Social Behavior. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-02700-4_10
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DOI: https://doi.org/10.1007/978-3-662-02700-4_10
Publisher Name: Springer, Berlin, Heidelberg
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