The performances of different Systems of Innovation (SI) vary substantially due to the fact that, apart from
the differences in the underlying technologies, institutions, etc., there are specific causes at work. In particular, we refer
to the intentionality of the agents interacting within a System of Innovation to find out the relationship between agents’
goals, and the SI’s performance. The underlying thesis is that agent intentionality is a necessary condition for a substantive
explanation of the dynamism of any socio-economic system. This paper departs from an abstract definition of a system
as a set of constitutive elements and the connections among them serving a common purpose. It also explores how agents’
intentionality and capabilities shape the structure, evolution and performance of an SI. In this context an evolutionary
efficiency criterion is proposed.Support
from INnoTEC (Project N. SEJ2004-02422
– Ministerio de Educación y Ciencia, Spain),
Instituto de Investigaciones Económicas y Sociales
‘Francisco de Vitoria’ and Universidad Autónoma
de Madrid
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