Kenneth W. Koput

TL;DR: Powell et al. as mentioned in this paper developed a network approach to organizational learning and derive firm-level, longitudinal hypotheses that link research and development alliances, experience with managing interfirm relationships, network position, rates of growth, and portfolios of collaborative activities.

TL;DR: In this article, a recursive analysis of network and institutional evolution is offered to account for the decentralized structure of the commercial field of the life sciences, and four alternative logics of attachment are tested to explain the structure and dynamics of interorganizational collaboration in biotechnology using multiple novel methods.

TL;DR: In this article, the authors focus on the spatial concentration of two essential factors of production in the commercial field of biotechnology: ideas and money, and find that the location of both research-intensive biotech firms and the venture capital firms that fund them is highly clustered in a handful of key US regions.

TL;DR: This paper examined the relationship between position in a network of relationships and organizational performance and found that there are decreasing returns to network experience and diversity, suggesting that there is limits to the learning that occurs through interorganizational networks.

TL;DR: In this paper, the development of collaborative network ties and configurations in the commercial biotechnology field is examined, in order to demonstrate how patterns and the logic of interaction and attachment emerge, take root, and shift over time.