NETWORKS, KNOWLEDGE SPILLOVERS AND TECHNOLOGICAL PROGRESS OF FIRMS: SIMULATIONS IN AN EVOLUTIONARY FRAMEWORK

Christian Henning () and Volker Saggau ()
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Christian Henning: Department of Agricultural Economics, Christian-Albrechts-University at Kiel, Wilhelm-Seelig-Platz 6/7, 24118 Kiel, Germany
Volker Saggau: Department of Agricultural Economics, Christian-Albrechts-University at Kiel, Wilhelm-Seelig-Platz 6/7, 24118 Kiel, Germany

International Journal of Innovation and Technology Management (IJITM), 2013, vol. 10, issue 05, 1-32

Abstract: Following modern innovation theory, this paper analyses in an evolutionary framework the impact of information network structures on firms' absorptive capacities and induced realization of technological progress (t.p.) in a finite set of firms. Main results of simulation analyses are: (i) At the macro-level average speed of firms' realized t.p. depends on global network structures, i.e. a high local size and centralization, but a low clustering of a networks. (ii) Networks are only important if firms' direct R&D activities are moderately successful. (iii) A free-rider problem arises, i.e. collectively, firms have high incentives to form interfirm network ties, but not individually.

Keywords: Knowledge spillovers; innovation diffusion; agent-based modeling; social networks; collective learning (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (4)

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DOI: 10.1142/S021987701340018X

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