Technology transfer offices as a nexus within the triple helix: the progression of the university's role

Geoghegan, Will; O’Kane, Conor; Fitzgerald, Ciara

doi:10.1504/ijtm.2015.069660

Cited by 35 publications

(15 citation statements)

References 71 publications

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“…For instance, several studies have centered their analyses on the role played by the different agents in the Triple Helix model (e.g., Daniels et al 2017), how these roles evolve over time (e.g., Chen and Lin 2017) and the usefulness of intermediate organizations or platforms aimed at supporting and speeding up Triple Helix initiatives (e.g. Johnson 2008;Geoghegan et al 2015;Chen et al 2016). Other authors have adopted an entrepreneurial approach to investigate the influence of the Triple Helix agents on entrepreneurial innovations' performance of enterprises (e.g., Guerrero and Urbano 2017), on the birth and death rates of firms (e.g., Kim et al 2012), as well as its applicability to study the knowledge base of an urban economy (e.g., Deakin and Leydesdorff 2014;Rodrigues and Melo 2013).…”

Section: The Triple Helix Modelmentioning

confidence: 99%

Triple Helix and the evolution of ecosystems of innovation: the case of Silicon Valley

2018

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Silicon Valley's innovation ecosystem has evolved in the last decade. In this study we aim to understand how and why Silicon Valley evolves by identifying changes on the role played by the Triple Helix Agents. We also aim at identifying if changes in one of the agents trigger evolution of the others. Taking the startup as the unit of analysis and applying a multiple case-study approach, the results are analyzed on the bases of the Triple Helix Model and interpreted in the light of the periods of development of an entrepreneurial venture. Our findings suggest that the role of the Triple Helix agents evolves over time and therefore, so does an innovative ecosystem. Main changes refer to the (1) rise of accelerator programs as a new player in the ecosystem; (2) an early engagement of corporations with startups; (3) the geographical expansion of Silicon Valley, now including San Francisco; (4) an increasing commitment of universities with capital funds; and (5) the rise of micromultinationals due to talent shortage and fierce competition in the area.

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Section: The Triple Helix Modelmentioning

confidence: 99%

Triple Helix and the evolution of ecosystems of innovation: the case of Silicon Valley

2018

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“…The meso-level factors focus on supporting institution's roles, behaviors, and actions of supporting actors. Six variables have been identified to measure the meso-level factors, namely, TTO [67,68], incubators [69], management support [50,70,71], knowledge [44], experience [72], and training [47]. We propose the following hypothesis:…”

Section: Conceptual Modelmentioning

confidence: 99%

Analysis of Factors Influencing Technology Transfer: A Structural Equation Modeling Based Approach

Singhai

Singh²,

Sardana

et al. 2021

Sustainability

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Technology transfer is one of the facets of academic entrepreneurship and acts as a vital element of the innovation system. It forms a sustainable link between research and business communities. A holistic model for successfully transferring technology in developing countries is an unmet need in the context of technology transfer from public-funded academic research institutions to small and medium enterprises. In this work, we developed a conceptual model and undertook an empirical study for the determinants of successful transfer. A questionnaire was prepared and administered to key stakeholders involved in technology transfer. Overall, 321 respondents participated in the survey with congener demography. The conceptualized input factors, viz. micro-level, meso-level, and macro-level factors, are significantly interrelated. The contribution of input factors towards the successful transfer of technology was extensively analyzed and tested using covariance-based structural equation modeling. The results show that the model is a good fit. The study revealed that communication, innovativeness, knowledge, quality of the product, and motivation were the five most important factors for successfully transferring technology.

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“…Ou seja, cada uma das hélices pode assumir o papel da outra Carvalho de Mello, 2004;Leydesdorff, 2000;Etzkowitz et al, 1998). Isso está alinhado com o proposto por Geoghegan et al (2015), onde a tríplice hélice é baseada em um modelo espiral de inovação, que permite que os três domínios institucionais (universidade -governo -indústria) interajam e compartilhem as relações mútuas com as três hélices.…”

Section: Revisão Da Literaturaunclassified

A Atuação da Tríplice Hélice em Santa Catarina pela Visão dos Núcleos de Inovação Tecnológica (NITs) do Estado

Iata

Cunha

2018

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A atuação integrada entre universidade, indústria e governo contribui para o crescimento de uma região, pois cria um ambiente propício para que a inovação aconteça. O presente trabalho investigou, por meio de uma pesquisa qualitativa realizada em 2016, o nível de integração dos atores da tríplice hélice (governo, empresas e universidades) em Santa Catarina. A pesquisa foi realizada com seis coordenadores de NITs-Núcleo de Inovação Tecnológica. Os resultados mostram que cada uma das hélices tem trabalhado para se desenvolver, porém, a atuação ainda não acontece de maneira integrada. Uma preocupação apontada pelos entrevistados foi que qualquer modelo de atuação escolhido para a tríplice hélice no Estado deverá considerar as diferenças regionais existentes. Além disso, é preciso entender quais são os atores regionais de cada hélice e qual a melhor forma para que eles possam trabalhar de maneira integrada.

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Technology transfer offices as a nexus within the triple helix: the progression of the university's role

Cited by 35 publications

References 71 publications

Triple Helix and the evolution of ecosystems of innovation: the case of Silicon Valley

Triple Helix and the evolution of ecosystems of innovation: the case of Silicon Valley

Analysis of Factors Influencing Technology Transfer: A Structural Equation Modeling Based Approach

A Atuação da Tríplice Hélice em Santa Catarina pela Visão dos Núcleos de Inovação Tecnológica (NITs) do Estado

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