Although intuitively appealing (and common), drawing network strategy implications from empirical evidence of network performance effects in pooled cross-section is not necessarily warranted. This is because network positions can influence both the mean and variance of firm performance....

This paper models a dynamic innovation process to examine the relationship between levels of R and D and market structure. In contrast to most of the literature, here R and D increases firms' knowledge stocks, making future R and D less costly. This s a feedback by which market structures can...

This paper analyzes empirically whether expansion of a university system affects local industry innovation. We examine how the opening of new university faculties in Italy during 1985-2000 affected regional innovation systems. We find that creation of a new university faculty increased regional...

May 1999 <p> This paper has been prepared under the EC TSER Programme's TIPIK Project, for presentation to the 3 rd TIPIK Workshop held in Strasbourg, at BETA, University of Louis Pasteur, 24 th April 1999. We are grateful for the comments and suggestions received from colleagues in the TIPIK...</p>

This paper presents an economic model of R&D network formation through the creation of strategic alliances. Firms are randomly endowed with knowledge elements. They base their alliance decisions purely on the technological fit of potential partners, ignoring social capital considerations and...

Empirical research on strategic alliances has focused on the idea that alliance partners are selected on the basis of social capital considerations. In this paper we emphasize instead the role of complementary knowledge stocks (broadly defined) in partner selection, arguing not only that...

This paper investigates how technological distance between firms affects their network of R&D alliances. Our theoretic model assumes that the benefit of an alliance between two firms is given by their technological distance. This benefit-distance relationship determines the ego-network of each...