Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/102285
Title: Emergence of innovation networks from R&D cooperation with endogenous absorptive capacity
Authors: Savin, I.
Egbetokun, A.
Issue Date: 2016
Publisher: Elsevier
Citation: Savin I. Emergence of innovation networks from R&D cooperation with endogenous absorptive capacity / I. Savin, A. Egbetokun. — DOI 10.1016/j.jedc.2015.12.005 // Journal of Economic Dynamics and Control. — 2016. — Vol. 64. — P. 82-103.
Abstract: This paper extends the existing literature on strategic R&D alliances by presenting a model of innovation networks with endogenous absorptive capacity. The networks emerge as a result of dynamic cooperation between firms occupying different locations in the knowledge space. Partner selection is driven by absorptive capacity which is itself influenced by cognitive distance and R&D investment allocation. Under different knowledge regimes, we examine the structure of networks that emerge and how firms perform within such networks. We find networks that exhibit small world properties which are generally robust to changes in the knowledge regime. Certain network strategies such as occupying brokerage positions or maximising accessibility to potential partners pay off, especially in 'young' industries with limited involuntary but abundant voluntary spillovers. This particular result is driven by endogenous absorptive capacity. © 2016 Elsevier B.V.
Keywords: ABSORPTIVE CAPACITY
AGENT-BASED MODELING
COGNITIVE DISTANCE
INNOVATION
KNOWLEDGE SPILLOVERS
NETWORKS
URI: http://hdl.handle.net/10995/102285
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 84959213025
PURE ID: 691326
93f6c06f-3f89-4b40-a2ba-97e486d3c143
ISSN: 1651889
DOI: 10.1016/j.jedc.2015.12.005
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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