The aim of this paper is an investigation on the role of demand in industrial dynamics. Despite the decades-long debate on demand and innovation, theory still lacks a comprehensive analytical formulation. This paper proposes a model where demand is conceived as a peculiar blend of two...

This paper presents a History Friendly Model which addresses the issue of the bifurcation in technological styles" between US and Britain during the nineteenth century. The model aims at gaining a better understanding of the micro-dynamics that gave rise to different patterns of innovation in...

This paper presents a History Friendly Model which addresses the issue of the bifurcation in "technological styles" between US and Britain during the nineteenth century. The model aims at gaining a better understanding of the micro-dynamics that gave rise to different patterns of innovation in...

The aim of this paper is an investigation on the role of demand in industrial dynamics. Despite the decades-long debate on demand and innovation, theory still lacks a comprehensive analytical formulation. This paper proposes a model where demand is conceived as a peculiar blend of two...

Innovation is widely acknowledged as one of the main forces driving economic growth. However, despite our significant knowledge of the technological determinants of innovation processes, an adequate understanding of demand side factors is still lacking. This paper aims to survey the literature...

The aim of this paper is an investigation on the role of demand in industrial dynamics. Despite the decades-long debate on demand and innovation, theory still lacks a comprehensive analytical formulation. This paper proposes a model where demand is conceived as a peculiar blend of two...

The aim of this paper is an investigation on the role of demand upon innovation. Despite the decades-long debate on demand and innovation, theory still lacks an analytical formulation. This paper proposes a model where demand is conceived as a peculiar blend of two conditions, market size, and...

Probabilistic graphical models successfully combine probability with graph theory and therefore provide applied statisticians with a powerful data mining engine. Graphical models are a good framework for formal analysis, allowing the researcher to obtain a quick overview of the structure of...