Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/102285
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dc.contributor.authorSavin, I.en
dc.contributor.authorEgbetokun, A.en
dc.date.accessioned2021-08-31T15:02:58Z-
dc.date.available2021-08-31T15:02:58Z-
dc.date.issued2016-
dc.identifier.citationSavin 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.en
dc.identifier.issn1651889-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Green3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84959213025&doi=10.1016%2fj.jedc.2015.12.005&partnerID=40&md5=43f5c148bae174d19af77dfdeb72fef6
dc.identifier.otherhttp://www2.wiwi.uni-jena.de/Papers/jerp2013/wp_2013_022.pdfm
dc.identifier.urihttp://hdl.handle.net/10995/102285-
dc.description.abstractThis 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.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherElsevieren
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceJ. Econ. Dyn. Control2
dc.sourceJournal of Economic Dynamics and Controlen
dc.subjectABSORPTIVE CAPACITYen
dc.subjectAGENT-BASED MODELINGen
dc.subjectCOGNITIVE DISTANCEen
dc.subjectINNOVATIONen
dc.subjectKNOWLEDGE SPILLOVERSen
dc.subjectNETWORKSen
dc.titleEmergence of innovation networks from R&D cooperation with endogenous absorptive capacityen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1016/j.jedc.2015.12.005-
dc.identifier.scopus84959213025-
local.contributor.employeeSavin, I., Chair for Economic Policy, Karlsruhe Institute of Technology, Germany, Bureau d'Economie Théorique et Appliquée, UMR 7522 Université de Strasbourg - CNRS, Strasbourg, France, Chair for Econometrics and Statistics, Graduate School of Economics and Management, Ural Federal University, Yekaterinburg, Russian Federation, DFG Research Training Program `The Economics of Innovative Change', Friedrich Schiller University Jena and Max Planck Institute of Economics, Jena, Germany
local.contributor.employeeEgbetokun, A., DFG Research Training Program `The Economics of Innovative Change', Friedrich Schiller University Jena and Max Planck Institute of Economics, Jena, Germany, National Centre for Technology Management, Ile-Ife, Nigeria
local.description.firstpage82-
local.description.lastpage103-
local.volume64-
local.contributor.departmentChair for Economic Policy, Karlsruhe Institute of Technology, Germany
local.contributor.departmentBureau d'Economie Théorique et Appliquée, UMR 7522 Université de Strasbourg - CNRS, Strasbourg, France
local.contributor.departmentChair for Econometrics and Statistics, Graduate School of Economics and Management, Ural Federal University, Yekaterinburg, Russian Federation
local.contributor.departmentDFG Research Training Program `The Economics of Innovative Change', Friedrich Schiller University Jena and Max Planck Institute of Economics, Jena, Germany
local.contributor.departmentNational Centre for Technology Management, Ile-Ife, Nigeria
local.identifier.pure691326-
local.identifier.pure93f6c06f-3f89-4b40-a2ba-97e486d3c143uuid
local.identifier.eid2-s2.0-84959213025-
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