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Organizational Networking in UK Biotechnology Clusters
Author(s) -
Hendry Chris,
Brown James
Publication year - 2006
Publication title -
british journal of management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.407
H-Index - 108
eISSN - 1467-8551
pISSN - 1045-3172
DOI - 10.1111/j.1467-8551.2005.00464.x
Subject(s) - spillover effect , industrial organization , externality , business , marketing , economic geography , product (mathematics) , space (punctuation) , economies of agglomeration , distribution (mathematics) , set (abstract data type) , cluster (spacecraft) , economics , economic growth , microeconomics , mathematical analysis , linguistics , philosophy , geometry , mathematics , computer science , programming language
Differences in growth patterns between regional clusters are often attributed to the extent to which they benefit from agglomeration, defined as the advantages that derive from being proximately located with other companies and institutions in the same industry. Foremost among these supply‐side externalities are the knowledge ‘spillover’ effects that can result from firms interacting extensively in both horizontal (complementary equivalent firms) and vertical (value chain) directions. The paper presents evidence from two surveys, one national and one regionally based, of networking patterns in UK biotechnology, focusing on how firms engage with other small firms, with large pharmaceuticals, and with research centres, and how far these interactions are regional, national or international in character. It suggests that where companies do collaborate, there is a tendency for the intensity of activity to increase as the location of the partner moves from the local to the international space. We evaluate the obvious interpretation that local linkages may be satisfactory for idea generation and early product development, but that national and international connections are more important for manufacturing, marketing and distribution activities. However, we conclude that a broader set of largely industry factors account for the networking patterns – namely, the science‐technology base, research funding, firms' business models, and competitor strategies in evolving markets – and that these matter more to clustered UK biotechnology firms than the cluster itself. These findings suggest a rethinking of cluster policy and the theoretical basis for clusters.