This volume contains a collection of papers all concerned with the exploration of economic and social dynamics in relation to the innovation process and its outcomes. This theme is firmly rooted in the Schumpeterian tradition in which an economic perspective is mutually embedded in a wider awareness of the role of other disciplines. Indeed since Schumpeter's time, the degree of specialisation within the social sciences has risen many fold, new sub disciplines continue to emerge, highly specialised theoretical tools and empirical methods continue to be developed, and new fields for the study...

Silicon Valley is the most salient example of high-tech industrial clusters. Public policymakersthroughouttheworldwouldliketolearnthesecretsofSiliconValley in order to build their own high-tech economies. The existing literature on ind- trial clusters, which traces back to Marshall (1920), focuses on the way in which ?rms bene't from locating in a cluster; it suggests that once a cluster comes into existence, it tends to reinforce itself by attracting more ?rms. However, a more important question is how to reach this critical mass in the ?rst place. In contrast to the literature, evidence...

This book addresses central issues in evolutionary and Schumpeterian accounts of industrial competition, learning, and innovation. It contains a collection of twelve papers which are oriented toward exploring methodological issues in evolutionary and related scholarship. Reflecting the diversity of work in evolutionary scholarship, a range of methodologies are employed in the papers, including simulation, experiments, and econometric analysis. Some of the papers use well established models to takle new questions and problems. Others introduce entirely new approaches, which the authors...