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Modellers have had to wrestle with an unavoidable trade-off between the demand of a general theoretical approach and the descriptive accuracy required to model a particular phenomenon. A new class of simulation models has shown to be well adapted to this challenge, basically by shifting outwards...
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Although the area of innovation economics dates back to the early twentieth century with the seminal contributions of … sector economics that puts innovation systems in the eye of public policy decision makers. Although well researched in … academia in recent years, the role that innovation networks play in driving successful processes of innovation and …
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Innovation policy is in need for a rational which allows the design and evaluation of policy instruments. In economic … intervene and which instrument should be applied. In innovation policy this rational cannot meaningfully be applied because of … the uncertain and open character of innovation processes. Uncertainty is not a market failure and cannot be repaired …
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Innovation is the major driver of economic growth and development. To analyze innovation processes the restriction of a … framework suited to the analysis of innovation towards the industrial sphere of an economy is not sufficient because of the … important co-evolutionary dimensions of innovation. Instead, a comprehensive economic theoretical approach is needed which …
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An agent-based simulation model representing a theory of the dynamic processes involved in innovation in modern …. The aim of the simulation exercises is to show that the artificial innovation networks show certain characteristics they … share with innovation networks in knowledge intensive industries and which are difficult to be integrated in traditional …
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