Cognitive distance in research collaborations
Margherita Balconi (),
Valeria Lorenzi (),
Pier Paolo Saviotti and
Antonella Zucchella ()
Additional contact information
Margherita Balconi: Department of Economics and Management, University of Pavia
Valeria Lorenzi: Dipartimento di Scienze Economico Aziendali, Università di Milano Bicocca, Italy
Antonella Zucchella: Department of Economics and Management, University of Pavia
No 51, DEM Working Papers Series from University of Pavia, Department of Economics and Management
Abstract:
This paper addresses the cognitive dimension of proximity/distance in research collaborations of small biotechnology firms. While the theory of optimal cognitive distance assumes learning as motive of collaborations, we suggest that small specialised firms or sub-units of big diversified organizations tend to collaborate with actors endowed with different specific knowledge, with the purpose of accessing rather than acquiring and assimilating the pieces of knowledge they lack. This leads to the expectation of high cognitive distance between collaborators, who however can understand each other since they share the same basic knowledge. We apply this framework to investigate the research collaborations of a sample of Italian biotech firms, using data on the papers co-authored by individuals belonging to different organizations. In order to measure cognitive distance at a very disaggregated level, we introduce an index originally developed by ecologists to measure distance between different species. As expected, most co-publishing partners have high cognitive distance. Moreover, the knowledge accessing motive is also consistent with the finding that even small firms often engage in extensive networks of collaborations with a remarkable variety of actors and do not tend to enlarge their scope over time.
Keywords: biotech; cognitive distance; knowledge; research collaborations. (search for similar items in EconPapers)
Pages: 36 pages
Date: 2013-09
New Economics Papers: this item is included in nep-cbe, nep-cse, nep-knm and nep-neu
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://dem-web.unipv.it/web/docs/dipeco/quad/ps/RePEc/pav/demwpp/DEMWP0051.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pav:demwpp:demwp0051
Access Statistics for this paper
More papers in DEM Working Papers Series from University of Pavia, Department of Economics and Management Contact information at EDIRC.
Bibliographic data for series maintained by Alice Albonico ( this e-mail address is bad, please contact ).