Author
Gerald Silverberg
Other affiliations: University of Stuttgart, International Institute for Applied Systems Analysis
Bio: Gerald Silverberg is an academic researcher from Maastricht University. The author has contributed to research in topics: Technological change & Endogenous growth theory. The author has an hindex of 23, co-authored 43 publications receiving 7716 citations. Previous affiliations of Gerald Silverberg include University of Stuttgart & International Institute for Applied Systems Analysis.
Papers
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3,000 citations
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2,583 citations
TL;DR: In this paper, a dynamic model is proposed to embed the diffusion question into a more general framework of disequilibrium competition, incorporating distinct vintage structures reflecting a change in technological trajectory, learning-by-using, and expectations-driven investment rules of thumb.
Abstract: A number of features of innovation diffusion are identified: appropriability, diversity, expectations, selection, learning, and spillover externalities. A dynamic model is formul ated to embed the diffusion question into a more general framework of disequilibrium competition. The model incorporates distinct vintage structures reflecting a change in technological trajectory, learning-by-using, a nd expectations-driven investment rules of thumb. Simulation studies reveal robust quasi-logistic curves, but a complicated pattern of net market share gains and losses. Uncertainty regarding the rationality of early or late adoption, it is argued, ensures that the requisite behavioral variety is present to generate these diffusion patterns. Copyright 1988 by Royal Economic Society.
490 citations
TL;DR: In this article, the authors develop a network model of new technology diffusion that combines contagion among consumers with heterogeneity of agent characteristics, and explore when a limited subsidy policy can trigger diffusion that would otherwise not happen.
180 citations
TL;DR: In this paper, the authors focus on the analysis of size distributions of innovations, which are known to be highly skewed, and apply the Hill estimator with data-driven cut-offs to determine the tail index for the right tails of all datasets except the NL and UK patent valuations.
138 citations
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TL;DR: In this article, the Triple Helix of university-industry-government relations is compared with alternative models for explaining the current research system in its social contexts, and the authors suggest that university research may function increasingly as a locus in the "laboratory" of knowledge-intensive network transitions.
5,324 citations
01 Jan 2000
TL;DR: In this paper, the Triple Helix of university-industry-government relations is compared with alternative models for explaining the current research system in its social contexts, where the institutional layer can be considered as the retention mechanism of a developing system.
Abstract: Abstract The Triple Helix of university–industry–government relations is compared with alternative models for explaining the current research system in its social contexts. Communications and negotiations between institutional partners generate an overlay that increasingly reorganizes the underlying arrangements. The institutional layer can be considered as the retention mechanism of a developing system. For example, the national organization of the system of innovation has historically been important in determining competition. Reorganizations across industrial sectors and nation states, however, are induced by new technologies (biotechnology, ICT). The consequent transformations can be analyzed in terms of (neo-)evolutionary mechanisms. University research may function increasingly as a locus in the “laboratory” of such knowledge-intensive network transitions.
5,036 citations
TL;DR: In this paper, the authors address the question of how technological transitions (TT) come about and identify particular patterns and mechanisms in transition processes, defined as major, long-term technological changes in the way societal functions are fulfilled.
5,020 citations
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TL;DR: In this paper, Arcangeli, Paul David, Frank Engelman, Christopher Freeman, Massimo Moggi, Richard Nelson, Luigi Orsenigo, Nathan Rosenberg, Michele Salvati, G. N. von Tunzelman, two anonymous referees, and the participants at the meeting of the Committee on Distribution, Growth, and Technical Progress of the Italian National Research Council (CNR), Rome, November 16, 1985, have helped with various redraftings.
Abstract: Fabio Arcangeli, Paul David, Frank Engelman, Christopher Freeman, Massimo Moggi, Richard Nelson, Luigi Orsenigo, Nathan Rosenberg, Michele Salvati, G. N. von Tunzelman, two anonymous referees, and the participants at the meeting of the Committee on Distribution, Growth, and Technical Progress of the Italian National Research Council (CNR), Rome, November 16, 1985, have helped with various redraftings. A particularly grateful acknowledgment is for the insightful and patient help of Moses Abramovitz. This work has been undertaken at the Science Policy Research Unit (SPRU), University of Sussex, as part of the research program of the Designated Research Centre, sponsored by the Economic and Social Research Council (ESRC). Earlier support to the research that led to this paper by the Italian National Research Council (CNR) is also gratefully acknowledged. The statistical research has been undertaken with the assistance of Stephano Brioschi, Ilaria Fornari, and Giovannu Prennushi.
4,373 citations
TL;DR: In this paper, a typology of four transition pathways: transformation, reconfiguration, technological substitution, and de-alignment and re-alignments is presented, which differ in combinations of timing and nature of multi-level interactions.
3,926 citations