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"Powell, Walter W"
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Networks, Propinquity, and Innovation in Knowledge-Intensive Industries
Industrial districts and regional clusters depend on the networks that arise from reciprocal linkages among co-located organizations, while physical proximity among firms can alter the nature of information and resource flows through networks. We consider the joint effects of geographic propinquity and network position on organizational innovation using negative binomial count models of patenting activity for U.S.-based life science firms in industrial districts and regional clusters across a 12-year time period, 1988–1999. We find evidence that regional agglomeration and network centrality exert complementary, but contingent, influences on organizational innovation. Results show that in the high-velocity, research-intensive field of biotechnology, geographic and network positions have both independent and contingent effects on organizational innovation. The influence of centrality in local, physically co-located partner networks depends on the extent to which firms are also embedded in a global network comprising physically distant partners. Such global centrality, however, alters how proximity to two important classes of organization—other biotechnology firms and public sector research organizations, such as universities, research institutes, and teaching hospitals—influences innovation. Regional agglomeration shapes the character of information and resource flows through networks, while much of what makes industrial clusters region-like involves the structure of their internal networks. We conclude that network effects persist both independently and interdependently with geographic variables, and regional characteristics influence the degree to which centrality enhances innovation.
Journal Article
Network Dynamics and Field Evolution: The Growth of Interorganizational Collaboration in the Life Sciences
A recursive analysis of network & 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, & multiconnectivity -- are tested to explain the structure & 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, & small firms. As organizations increase their collaborative activities & diversify their ties to others, cohesive subnetworks form, characterized by multiple, independent pathways. These structural components, in turn, condition the choices & opportunities available to members of a field, thereby reinforcing an attachment logic based on differential connections to diverse partners. 7 Tables, 9 Figures, 2 Appendixes, 95 References. Adapted from the source document.
Journal Article
The Knowledge Economy
We define the knowledge economy as production and services based on knowledge-intensive activities that contribute to an accelerated pace of technical and scientific advance, as well as rapid obsolescence. The key component of a knowledge economy is a greater reliance on intellectual capabilities than on physical inputs or natural resources. We provide evidence drawn from patent data to document an upsurge in knowledge production and show that this expansion is driven by the emergence of new industries. We then review the contentious literature that assesses whether recent technological advances have raised productivity. We examine the debate over whether new forms of work that embody technological change have generated more worker autonomy or greater managerial control. Finally, we assess the distributional consequences of a knowledge-based economy with respect to growing inequality in wages and high-quality jobs.
Journal Article
Knowledge Networks as Channels and Conduits: The Effects of Spillovers in the Boston Biotechnology Community
We contend that two important, nonrelational, features of formal interorganizational networksgeographic propinquity and organizational formfundamentally alter the flow of information through a network. Within regional economies, contractual linkages among physically proximate organizations represent relatively transparent channels for information transfer because they are embedded in an ecology rich in informal and labor market transmission mechanisms. Similarly, we argue that the spillovers that result from proprietary alliances are a function of the institutional commitments and practices of members of the network. When the dominant nodes in an innovation network are committed to open regimes of information disclosure, the entire structure is characterized by less tightly monitored ties. The relative accessibility of knowledge transferred through contractual linkages to organizations determines whether innovation benefits accrue broadly to membership in a coherent network component or narrowly to centrality. We draw on novel network visualization methods and conditional fixed effects negative binomial regressions to test these arguments for human therapeutic biotechnology firms located in the Boston metropolitan area.
Journal Article
The Rationalization of Charity: The Influences of Professionalism in the Nonprofit Sector
This paper analyzes how professional values and practices influence the character of nonprofit organizations, with data from a random sample of 501(c)(3) operating charities in the San Francisco Bay Area collected between 2003 and 2004. Expended professionalism in the nonprofit world involves not only paid, full-time careers and credentialed expertise but also the integration of professional ideals into the everyday world of charitable work. We develop key indicators of professionalism and measure organizational rationalization as expressed in the use of strategic planning, independent financial audits, quantitative program evaluation, and consultants. As hypothesized, charities operated by paid personnel and full-time management show higher levels of rationalization. While traditional professionals (doctors, lawyers, and the clergy) do not differ significantly from executives with no credentialed background in eschewing business-like practices, managerial professionals champion such efforts actively, as do semi-professionals, albeit more modestly. Management training is also an important spur to rationalization. We assess what is gained and lost and the tension that can arise when nonprofits become professionalized and adopt more methodical, bureaucratic procedures.
Journal Article
Learning From Collaboration: Knowledge and Networks in the Biotechnology and Pharmaceutical Industries
The biotechnology and pharmaceutical fields are rife with a wide range of collaborative relationships intended to access knowledge, skills, and resources that cannot be produced by organizations internally in a timely fashion. As more firms rely on external relationships for knowledge, the ability to process, transfer, and transmit knowledge gained in one context to other activities becomes critical. This article examines the capability for learning both how and what to learn in the context of these inter-organizational relations, and it surveys various practices developed by companies for accessing and distributing knowledge. The key challenge in innovation-intensive fields is to develop organizational routines for learning that are robust, flexible, and durable.
Journal Article
A Comparison of U.S. and European University-Industry Relations in the Life Sciences
We draw on diverse data sets to compare the institutional organization of upstream life science research across the United States and Europe. Understanding cross-national differences in the organization of innovative labor in the life sciences requires attention to the structure and evolution of biomedical networks involving public research organizations (universities, government laboratories, nonprofit research institutes, and research hospitals), science-based biotechnology firms, and multinational pharmaceutical corporations. We use network visualization methods and correspondence analyses to demonstrate that innovative research in biomedicine has its origins in regional clusters in the United States and in European nations. But the scientific and organizational composition of these regions varies in consequential ways. In the United States, public research organizations and small firms conduct R&D across multiple therapeutic areas and stages of the development process. Ties within and across these regions link small firms and diverse public institutions, contributing to the development of a robust national network. In contrast, the European story is one of regional specialization with a less diverse group of public research organizations working in a smaller number of therapeutic areas. European institutes develop local connections to small firms working on similar scientific problems, while cross-national linkages of European regional clusters typically involve large pharmaceutical corporations. We show that the roles of large and small firms differ in the United States and Europe, arguing that the greater heterogeneity of the U.S. system is based on much closer integration of basic science and clinical development.
Journal Article
Interorganizational Collaboration and the Locus of Innovation: Networks of Learning in Biotechnology
We argue in this paper that when the knowledge base of an industry is both complex and expanding and the sources of expertise are widely dispersed, the locus of innovation will be found in networks of learning, rather than in individual firms. The large-scale reliance on interorganizational collaborations in the biotechnology industry reflects a fundamental and pervasive concern with access to knowledge. We develop 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. We test these hypotheses on a sample of dedicated biotechnology firms in the years 1990-1994. Results from pooled, within-firm, time series analyses support a learning view and have broad implications for future theoretical and empirical research on organizational networks and strategic alliances.
Journal Article