In this paper, we model the formation of innovation networks as they emerge from bilateral decisions. In contrast to much of the literature, here firms only consider knowledge production, and not network issues, when deciding on partners. Thus, we focus attention on the effects of the knowledge...

Empirical research on strategic alliances has focused on the idea that partners are selected on the basis of social capital considerations. In this paper we emphasize instead the role of complementary knowledge stocks and knowledge dynamics, which have received surprisingly limited attention...

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....

Network formation is often said to be driven by social capital considerations. A typical pattern observed in the empirical data on strategic alliances is that of small world networks: dense subgroups of firms interconnected by (few) clique-spanning ties. The typical argument is that there is...

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 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...

In this paper we model interactions between organizational structures, job stress, emotional contagion and organization performance. An organization is modelled as solving problems or performing tasks. Tasks enter the organization and can be addressed by a subset of its members. Organization...

We model knowledge diffusion in a population of agents situated on a network, interacting only over direct ties. Some agents are by nature traders, others are by nature "givers": traders demand a quid pro quo for information transfer; givers do not. We are interested in efficiency of diffusion...