Integrated Versus Core-Periphery Structures in Regional Biotechnology Networks
This paper examines the importance of networks of interfirm cooperation in biotechnology. As in other knowledge-intensive industries, network-like cooperation is suggested to be a critical factor for companies as they enable the unobstructed exchange of information and knowledge. A discussion of the extant literature reveals two competing perspectives on corporate networks in high-tech industries. While one group of actors has argued that due to the high importance of information and knowledge in these industries, companies are embedded in dense interorganizational collaboration networks, others have suggested that a dense core may be distinguished from a sparse periphery in these networks. By applying a network analytical approach we test both propositions empirically for a regional network in biotechnology. Our findings show that the assumption of dense interorganizational networks does not seem to hold true. Instead, we find support for the assumption that within regional networks, a considerable number of companies are only loosely connected to the network's dense core.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 24 (2006)
Issue (Month): 1 (February)
|Contact details of provider:|| Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/115/description#description|
|Order Information:|| Postal: http://www.elsevier.com/wps/find/journaldescription.cws_home/115/bibliographic|
When requesting a correction, please mention this item's handle: RePEc:eee:eurman:v:24:y:2006:i:1:p:73-85. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.