Channels, benefits and risks of public–private interactions for knowledge transfer: conceptual framework inspired by Latin America

Arza, Valeria

doi:10.3152/030234210x511990

Cited by 168 publications

(164 citation statements)

References 72 publications

(34 reference statements)

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“…Bekkers and Bodas Freitas (2008) suggest that the characteristics of the transferred knowledge, the characteristics of researchers involved, and the environment in which knowledge is produced and exploited determine the selection of a specific interaction channel. Subsequently, a related sub-stream examines the outcomes associated with the implementation of distinct interaction channels, such as the interaction quality and the associated risks and benefits within U-I partnerships (Arza 2010;Dutrénit et al 2010). Nevertheless, it remains an important challenge to nuance the effects of distinct interaction channels by considering short versus long-term goals, as well as acknowledge the role of the context by exploring outcomes across different sectors and collaborative projects with varying intensity of interaction (Schartinger et al 2002).…”

Section: Cluster 4: Interaction Channels Perspectivementioning

confidence: 99%

Mapping the field: a bibliometric analysis of the literature on university–industry collaborations

et al. 2017

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The substantial acknowledgement of university-industry (U-I) collaborations as promotor of economic progress, innovativeness and competitiveness fostered a continuous research engagement. At the same time, the U-I literature experienced a notable increase in the past decade, transforming into a multi-faceted and ambiguous research field, characterised by highly complex interlinks. The recent transformation hinders a comprehensive understanding of the latest developments in research directions and their clear delineation. Therefore, the purpose of this bibliometric literature review is to examine the evolution of the field and identify the primary emerging patterns. This paper employs co-citation analysis and bibliographic coupling techniques to analyse the U-I publications dataset. The findings indicate that the U-I collaborations research can be systematically clustered, resulting in an interconnected ecosystem consisting of three levels: individual, organisational and institutional, respectively. Thus, this review presents the immense contribution that the analysis of U-I collaborations makes to various research streams. Building on these findings and employing qualitative content analysis on the clustered publications, the paper develops a research agenda that encourages future investigations of previously overlooked features of U-I collaborations in general, and their role across levels of analysis, contexts and stages of the collaboration process in particular.

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Section: Cluster 4: Interaction Channels Perspectivementioning

confidence: 99%

Mapping the field: a bibliometric analysis of the literature on university–industry collaborations

et al. 2017

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“…In this way, firms' main motivation for collaborating with universities is to identify and exploit technological opportunities. However, firms have other motivations for collaborating with universities, such as reducing R&D costs (e.g., testing and monitoring activities) and substituting inhouse innovation activities with external sources that often operate with subsidised costs (Arza, 2010;Bekkers & Bodas-Freitas, 2008;Bonaccorsi & Piccaluga, 1994).…”

Section: Main Conceptual Remarks Geographical Distance and Universitymentioning

confidence: 99%

Looking at both sides: how specific characteristics of academic research groups and firms affect the geographical distance of university–industry linkages

García

Araújo

Mascarini

et al. 2015

Regional Studies, Regional Science

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This paper examines factors that affect the geographical distance of university-industry linkages by analysing specific characteristics of both sides of the collaborationfirms and universities. Previous studies have provided important evidence related to this issue; however, they have used data from either firms or universities. Therefore, this paper contributes to existing research on this issue by using information on both collaboration partners. For this purpose, data from the Directory of Research Groups in Brazil are used to estimate an empirical model. The main results indicate that firms with higher absorptive capacity and larger firms tend to collaborate with research groups that are more geographically distant. Further, on the university side, high-performance and larger research groups tend to attract firms that are more geographically distant as collaboration partners. Long-distance collaborations therefore usually occur when firms require high absorptive capacity and when they cannot find high-quality local universities.

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“…Esse tópico foi explorado por Arza (2010), Bishop et al (2011, Tartari e Breschi (2012), D'Este e Perkmann (2011), entre outros. Por exemplo, Tartari e Breschi (2012) investigaram como as percepções dos pesquisadores sobre benefícios e dificuldades esperados das interações impactam sua decisão de interagir com empresas.…”

Section: Revisão Da Literaturaunclassified

“…Alguns focaram o impacto das interações nos processos inovativos ou o seu papel para a pesquisa universitária (KLEVORICK et al, 1995;NELSON, 1996;COHEN et al, 2002). Outros trabalhos analisaram os fatores que afetam a interação e o modo como os agentes envolvidos avaliam tais relações e seus possíveis benefícios, resultados e dificuldades (ARZA, 2010;ARZA;VASQUEZ, 2010;BRESCHI, 2012).…”

Section: Introductionunclassified

A influência das percepções de benefícios, resultados e dificuldades dos grupos de pesquisa sobre as interações com empresas

Araújo¹,

Mascarini²,

Santos³

et al. 2015

Rev. Bras. Inov.

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Resumo O presente trabalho tem por objetivo investigar como as percepções dos grupos de pesquisa acadêmica sobre resultados, benefícios e dificuldades esperados das interações influenciam o número de interações que eles realizam com empresas, com base em um survey sobre as relações universidade-empresa no Brasil. Para tanto, por meio da Teoria de Resposta ao Item não Paramétrico (TRIN), foram criados agrupamentos não ad hoc a partir de padrões de resposta de pesquisadores para as percepções analisadas. A partir dos agrupamentos, foi estimado um modelo para identificar como essas percepções influenciam o número de interações dos grupos. Os resultados apontam que os grupos de pesquisa que percebem benefícios intangíveis e * Os autores agradecem o apoio financeiro recebido pela Fapesp através do projeto "Geografia e Inovação: uma análise dos efeitos da aglomeração industrial e suas implicações de políticas" e do Cnpq através do projeto

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Channels, benefits and risks of public–private interactions for knowledge transfer: conceptual framework inspired by Latin America

Cited by 168 publications

References 72 publications

Mapping the field: a bibliometric analysis of the literature on university–industry collaborations

Mapping the field: a bibliometric analysis of the literature on university–industry collaborations

Looking at both sides: how specific characteristics of academic research groups and firms affect the geographical distance of university–industry linkages

A influência das percepções de benefícios, resultados e dificuldades dos grupos de pesquisa sobre as interações com empresas

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