Network Dynamics and Field Evolution: The Growth of Interorganizational Collaboration in the Life Sciences

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Abstract/Contents

Abstract
A recursive analysis of network and institutional evolution is offered to account for the decentralized structure of the commercial field of the life sciences. Four alternative logics of attachment--accumulative advantage, homophily, follow-the-trend, and multiconnectivity--are tested to explain the structure and dynamics of interorganizational collaboration in biotechnology. Using multiple novel methods, the authors demonstrate how different rules for affiliation shape network evolution. Commercialization strategies pursued by early corporate entrants are supplanted by universities, research institutes, venture capital, and small firms. As organizations increase their collaborative activities and diversify their ties to others, cohesive subnetworks form, characterized by multiple, independent pathways. These structural components, in turn, condition the choices and opportunities available to members of a field, thereby reinforcing an attachment logic based on differential connections to diverse partners.

Description

Type of resource text
Date created 2005

Creators/Contributors

Author Powell, Walter W.
Author White, Douglas R.
Author Koput, Kenneth W.
Author Owen-Smith, Jason
Publisher University of Chicago
Sponsor National Science Foundation
Sponsor Hewlett Foundation
Sponsor University of Siena, EPRIS Project

Subjects

Subject biosciences
Subject life sciences
Subject networks
Subject social networks
Genre Article

Bibliographic information

Related Publication Powell, Walter, Douglas White, Kenneth Koput, and Jason Owen-Smith. (2005). Network Dynamics and Field Evolution: The Growth of Interorganizational Collaboration in the Life Sciences. American Journal of Sociology, 110:1132-1205.
Location https://purl.stanford.edu/vn011cv9237

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License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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Graduate School of Education Open Archive

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