The Coevolution of Innovative Ties, Proximity, and Competencies: Toward a Dynamic Approach to Innovation Cooperation

Cantner, Uwe; Hinzmann, Susanne; Wolf, Tina

doi:10.1007/978-3-319-45023-0_16

Cited by 7 publications

(3 citation statements)

References 67 publications

(187 reference statements)

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“…Investigation into the determinants and constraints of collaborative knowledge production revealed that the proximity of the parties involved is a key driver in these networks (e.g. Fleming and Frenken 2007;Balland 2012;Broekel and Boschma 2012;Brenner, Cantner, and Graf 2013;Ter Wal 2013;Cassi and Plunket 2015;Crescenzi, Nathan, and Rodríguez-Pose 2016;Cantner, Hinzmann, and Wolf 2017). Proximity here means the degree to which collaborators are similar to one another along different dimensions, including geographical location, domains of expertise, institutional context, social norms and organizational background (e.g.…”

Section: The Relational Structure Of Collaborative Knowledge Production Across European Regionsmentioning

confidence: 99%

Repeated collaboration of inventors across European regions

Tóth

Juhász

Elekes

et al. 2021

European Planning Studies

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This paper explores the spatial patterns and underlying determinants of repeated inventor collaboration across European NUTS 3 regions. It is found that only a small fraction of co-inventor linkages across regions are repeated, while community detection reveals that these collaborations are clustered in geographical space more intensively compared with collaboration in general. Additional results from gravity modelling indicate that links in the interregional co-inventor network emerge mainly through the triadic collaboration of regions, while geographical proximity becomes the most influential factor for repeating co-inventor ties. In addition to that, the combination of technological similarity and shared third partner regions offer a premium for the likelihood of repeating a collaboration, but only when geographical proximity is present as an enabler. Hence, repeated inter-regional co-inventor collaborations are more likely to revert to spatial clustering, contributing to the fragmentation of the European Research Area.

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Section: The Relational Structure Of Collaborative Knowledge Production Across European Regionsmentioning

confidence: 99%

Repeated collaboration of inventors across European regions

Tóth

Juhász

Elekes

et al. 2021

European Planning Studies

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“…Partners' increasing experience in collaboration, the breadth of interactive projects, and the creation of mutual trust between the partners are the primary factors that lower barriers to collaboration over time (Cantner et al 2017;Rivera-Huerta et al 2011). Another hypothesis can be stated:…”

Section: H1: University-industry Collaborations Increase the Scientifmentioning

confidence: 99%

An analysis of how long-term university-industry linkages affects academic research productivity

García¹,

Araújo²,

Santos³

et al. 2017

Blucher Engineering Proceedings

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The aim of this paper is to analyse the impact of long-term university-industry collaboration on academic research productivity. Empirical evidence shows that in general, collaboration with industry positively affects scientific productivity. However, there is a lack of understanding of the long-term effect of collaboration. This paper addresses that concern through the use of a unique longitudinal and comprehensive dataset on university-industry collaboration in Brazil. The results show that over the long term, research groups that collaborate with industry present better scientific performance, allowing for the conclusion that long-term collaboration between research groups and firms has a positive effect on academic productivity.

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“…The emerging structure of networks can be, therefore, best described by the interplay of various dimensions. Consequently, many empirical studies have tried to independently operationalize and assess the role of different proximities for network structural evolution and qualify their nature as either substitutes or complements (Balland, 2012;Balland et al, 2013;Broekel & Boschma, 2012;Cantner et al, 2017;D'Este et al, 2013;Tsouri, 2022)…”

Section: Proximity Frameworkmentioning

confidence: 99%

Exploring the Dynamics of Regional R&D Networks: a Closer Look at Valencia's Inter-Organizational Partnerships

Yankova

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Despite organizations' documented tendency to repeat interactions with prior partners, scholarly understanding on the implications of recurring collaborations has been fairly limited. This study investigates whether and under what conditions organizations use repeated engagements to explore new topics (what we call diversification), as opposed to deepening their expertise in a single one (specialization). The empirical analysis is based on the Spanish region of Valencia and its publicly-funded R&D network. Employing lexical similarity to compare the topic and content of project abstracts, we find that strong ties are not always associated with specialization. Yet, diversification is more likely when at least one of the partners mobilizes a growing network of diverse contacts and can access novel knowledge.

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The Coevolution of Innovative Ties, Proximity, and Competencies: Toward a Dynamic Approach to Innovation Cooperation

Cited by 7 publications

References 67 publications

Repeated collaboration of inventors across European regions

Repeated collaboration of inventors across European regions

An analysis of how long-term university-industry linkages affects academic research productivity

Exploring the Dynamics of Regional R&D Networks: a Closer Look at Valencia's Inter-Organizational Partnerships

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