The Evolution of Knowledge and the Dynamics of an Industry Network
The paper moves a step forward in the direction of establishing a connection between the structure and evolution of knowledge bases and the structure and evolution of organizational forms in innovative activities in a science-intensive industry. The paper has an explicit focus on the dynamics of the network of collaborative agreements in R&D in the pharma/biotech industry after the “molecular biology revolution”. Using a comprehensive dataset, built by the authors integrating several sources in the industry, the dynamics of the network over time is extensively analyzed. With regards to network structure, it is found that, while the size of the network increases over time due to net flows of entry, its topological properties remain relatively unchanged. The evolution of the network has occurred without relevant deformations in the core-periphery profile. With regards to age-dependent propensity to collaborate, the paper finds that the extent of inter-generational collaboration is much more significant than intra-generational collaboration. In addition, the propensity of firms of a given generation to enter into collaboration with firms of a different generation increases with the distance between the two, while the total number of intra-generational collaborations decreases over time and, moreover, tends to decrease for most recent generations. In the paper a unitary and coherent explanation of the evidence is developed, coming to reveal the existence of a striking isomorphism between structural properties of the dynamics of knowledge and of the evolution of network structure. Copyright Kluwer Academic Publishers 1997
Volume (Year): 1 (1997)
Issue (Month): 2 (June)
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- Giovanni Dosi & Luigi Marengo & Giorgio Fagiolo, 1996.
"Learning in evolutionary environment,"
CEEL Working Papers
9605, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
- Giovanni Dosi & Luigi Marengo & Giorgio Fagiolo, 2003. "Learning in Evolutionary Environments," LEM Papers Series 2003/20, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Winter, Sidney G., 1984. "Schumpeterian competition in alternative technological regimes," Journal of Economic Behavior & Organization, Elsevier, vol. 5(3-4), pages 287-320.
- Arora, Ashish & Gambardella, Alfonso, 1994. "Evaluating technological information and utilizing it : Scientific knowledge, technological capability, and external linkages in biotechnology," Journal of Economic Behavior & Organization, Elsevier, vol. 24(1), pages 91-114, June.
- Malerba, Franco & Orsenigo, Luigi, 1996. "The Dynamics and Evolution of Industries," Industrial and Corporate Change, Oxford University Press, vol. 5(1), pages 51-87.
- Lynne G. Zucker & Michael R. Darby, 1995. "Present at the Revolution: Transformation of Technical Identity for a Large Incumbent Pharmaceutical Firm After the Biotechnological Breakthrough," NBER Working Papers 5243, National Bureau of Economic Research, Inc. Full references (including those not matched with items on IDEAS)