Knowledge and Cooperation Determinants of Innovation Networks: A Mixed-Methods Approach to the Case of Portugal

Systemic perspectives of innovation integrate complex interrelations among enterprise, science and technology, and governance spheres. Innovation networks are crucial within innovation systems and refer to the linkages of a variety of actors with the purpose of innovation. In this article, the deter...

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Main Authors: Hugo Pinto, Maria Teresa de Noronha, Chanda Faustino
Format: Article
Language:English
Published: Universidad Alberto Hurtado 2015-04-01
Series:Journal of Technology Management & Innovation
Subjects:
Online Access:https://www.jotmi.org/index.php/GT/article/view/1681
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author Hugo Pinto
Maria Teresa de Noronha
Chanda Faustino
author_facet Hugo Pinto
Maria Teresa de Noronha
Chanda Faustino
author_sort Hugo Pinto
collection DOAJ
description Systemic perspectives of innovation integrate complex interrelations among enterprise, science and technology, and governance spheres. Innovation networks are crucial within innovation systems and refer to the linkages of a variety of actors with the purpose of innovation. In this article, the determinants of innovation networks are analyzed using a qualitative original database of online information about 623 organizations in Portugal. A binary econometric regression for all types of entities is estimated. The model underlines that actors using external technologies and promoting knowledge are more likely to innovate. In parallel, actors that are involved in managing and supporting entrepreneurship have a smaller probability to do it. Advanced firms and universities are the actors more willing to dynamically innovate. Specific models for firms and universities create a direct comparison between the determinants in both collectives. While promoting knowledge and specific orientation towards innovation is essential for firms it is not relevant for universities. Managing knowledge is the crucial catalyst for the innovation practices in universities. External technological linkages are essential for both types of actors in the creation of innovation networks. The article concludes with policy implications regarding the support of cooperation activities to instigate innovation.
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spelling doaj.art-75ad51302aab4d77b7b3fcd285f0261e2023-04-11T20:00:35ZengUniversidad Alberto HurtadoJournal of Technology Management & Innovation0718-27242015-04-0110110.4067/S0718-27242015000100007951Knowledge and Cooperation Determinants of Innovation Networks: A Mixed-Methods Approach to the Case of PortugalHugo Pinto0Maria Teresa de Noronha1Chanda Faustino2Centre for Social Studies, University of Coimbra and Faculty of Economics, University of AlgarveCentre for Spatial and Organizational Dynamics and Faculty of Economics, University of Algarve, Campus de GambelasFaculty of Economics, University of Algarve, Campus de GambelasSystemic perspectives of innovation integrate complex interrelations among enterprise, science and technology, and governance spheres. Innovation networks are crucial within innovation systems and refer to the linkages of a variety of actors with the purpose of innovation. In this article, the determinants of innovation networks are analyzed using a qualitative original database of online information about 623 organizations in Portugal. A binary econometric regression for all types of entities is estimated. The model underlines that actors using external technologies and promoting knowledge are more likely to innovate. In parallel, actors that are involved in managing and supporting entrepreneurship have a smaller probability to do it. Advanced firms and universities are the actors more willing to dynamically innovate. Specific models for firms and universities create a direct comparison between the determinants in both collectives. While promoting knowledge and specific orientation towards innovation is essential for firms it is not relevant for universities. Managing knowledge is the crucial catalyst for the innovation practices in universities. External technological linkages are essential for both types of actors in the creation of innovation networks. The article concludes with policy implications regarding the support of cooperation activities to instigate innovation.https://www.jotmi.org/index.php/GT/article/view/1681innovationinnovation networksinnovation systemcontent analysislogistic regression.
spellingShingle Hugo Pinto
Maria Teresa de Noronha
Chanda Faustino
Knowledge and Cooperation Determinants of Innovation Networks: A Mixed-Methods Approach to the Case of Portugal
Journal of Technology Management & Innovation
innovation
innovation networks
innovation system
content analysis
logistic regression.
title Knowledge and Cooperation Determinants of Innovation Networks: A Mixed-Methods Approach to the Case of Portugal
title_full Knowledge and Cooperation Determinants of Innovation Networks: A Mixed-Methods Approach to the Case of Portugal
title_fullStr Knowledge and Cooperation Determinants of Innovation Networks: A Mixed-Methods Approach to the Case of Portugal
title_full_unstemmed Knowledge and Cooperation Determinants of Innovation Networks: A Mixed-Methods Approach to the Case of Portugal
title_short Knowledge and Cooperation Determinants of Innovation Networks: A Mixed-Methods Approach to the Case of Portugal
title_sort knowledge and cooperation determinants of innovation networks a mixed methods approach to the case of portugal
topic innovation
innovation networks
innovation system
content analysis
logistic regression.
url https://www.jotmi.org/index.php/GT/article/view/1681
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AT chandafaustino knowledgeandcooperationdeterminantsofinnovationnetworksamixedmethodsapproachtothecaseofportugal