The Role of Universities in Supporting New Technology Industries through Commercialization Spin-off Activities

Calzonetti, Frank J.; Reid, Neil

doi:10.2457/srs.43.7

Cited by 4 publications

(3 citation statements)

References 39 publications

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“…Additionally, it reflects the demand for the industrialization of university R&D outcomes in the industry. In fact, past research has verified that enhancing the link between academics and industry contributes to the industrialization of academic R&D (Boehm and Hogan, 2013;Powers, 2003); UIC technologies are often the technologies that the industry genuinely requires (Calzonetti and Reid, 2013;Di Gregorio and Shane, 2003;Perkmann, 2013). Therefore, conducting technological development through UIC can assist researchers in discovering new commercialization opportunities and applying for patents using their research outcomes (Okamuro and Nishimura, 2013;Ponomariov, 2013).…”

Section: University-industry Collaboration Patentsmentioning

confidence: 99%

“…Some universities have sought to become entrepreneurial universities and have proactively initiated cooperative R&D with industries to create UIC patents and innovative performances (Guerrero and Urbano, 2012;MingJi and Ping, 2014). Past studies have proven that strengthening ties between the academic and industrial sectors benefits the commercialization of the academic R&D results and leads to more practical research results in academia (Calzonetti and Reid, 2013;Perkmann, 2013). Di Gregorio and Shane (2003) discovered that UICs tend to exhibit risk avoidance; hence, the produced results are more applicable to the market.…”

Section: University-industry Collaboration Patentsmentioning

confidence: 99%

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Key licensing technologies for patents based on university– industry collaboration

Chang

2019

IJIS

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Purpose As the university–industry collaboration (UIC) gradually attracts the attention of various national governments, the number of studies on UIC has increased substantially. Past UIC studies have mostly focused on investigating the incentives and the motivation for UIC, forms of UIC and performance output of UIC. However, they have not actively identified the key technologies and technology distribution that are conductive to the commercialization of UIC outcomes. Therefore, this study aims to adopt the licensed UIC patents as the basis for analysis and to construct a patent licensing technology network. Design/methodology/approach This study focused on licensed patents because past studies have indicated that such patents usually have higher value. Moreover, patent licensing can be seen as the final step for the commercialization of UIC outcomes. Finally, past studies have rarely explored patent examiners’ views on key technologies. However, during the substantive examination of patents, patent examiners often use their background knowledge regarding the technology to include citations to other patented technologies that they consider valuable or indispensable. Therefore, this study focused on investigating the patents recognized and cited by patent examiners and conducted key technology identification. Findings The results indicated that past key technologies in UIC focused on surveying, medicine, biochemistry and electric digital data processing; these fields are crucial to the commercialization of key UIC technologies. Finally, the USA, Japan, Sweden and Germany play critical roles in the network of global university–industry cooperation and technology licensing. Originality/value Patent examiners’ perspectives were adopted to establish a patent licensing technology network, through which the key technologies that could promote UIC patent licensing were mined. This study can also serve as a reference for resource allocation in university research and development and for governments to promote new technologies.

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Section: University-industry Collaboration Patentsmentioning

confidence: 99%

Section: University-industry Collaboration Patentsmentioning

confidence: 99%

Key licensing technologies for patents based on university– industry collaboration

Chang

2019

IJIS

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“…It is also clear that the presence of and access to an advanced knowledge base in the Podkarpackie area -in particular, higher education institutes -play a critical role in supporting new technology industries (see Calzonetti, Reid 2013). R&D plays a critical role in the success of the Polish aviation industry in general and of Dolina Lotnicza in particular.…”

Section: The Aviation Valley: the Dolina Lotnicza Clustermentioning

confidence: 99%

Effective Clusters as Territorial Performance Engines in a Regional Development Strategy - A Triple-Layer DEA Assessment of the Aviation Valley in Poland

Kourtit¹,

Nijkamp²,

Suzuki³

2017

REGION

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Abstract. In the past decades, a new concept has been introduced in the regional development literature, viz. economic-technological clusters. A wealth of studies has been published on the conceptual, operational and policy foundation, and relevance of this concept, especially in relation to previously developed regional growth concepts, such as industrial districts, industrial complexes, or growth centers. In the present paper, clusters will be regarded as the spatial foci of sustainable territorial performance strategies and synergetic actions by both public and private actors. This paper aims to address the relevance of cluster concepts for an effective regional development policy, based on the notion of territorial capital. It does so by introducing a new concept, viz. effective cluster, in which spatial-economic synergy, local/regional concentration of industry, and the supporting role of territorial capital are regarded as the main determinants of a highly performing cluster in a given territory. The effective cluster concept will be illustrated and tested on the basis of a field study on the aviation and aerospace cluster 'Dolina Lotnicza' in the Podkarpackie region in South-East Poland. This is one of the most vibrant high-tech clusters in the country. Rather than providing a critical assessment of the specific development strategy of the Podkarpackie region, this study will show the added value of a new general conceptual framework based on effective clusters. A novel approach based on a triple-layer architecture will be adopted here, viz. a quantitative comparative analysis of the 16 Polish 'voivodships' (main administrative regions in the country, at a NUTS-2 level), a benchmark analysis of the 25 counties ('powiats') within the Podkarpackie voivodship (at a NUTS-4 level), and an effective industrial cluster analysis on the basis of the individual aviation firms located in the Podkarpackie region. In each step, an extended Data Envelopment Analysis (DEA), characterized by a merger of a Slack-Based Measure (SMB) and a super-efficiency (SE) DEA model, will be used in order to achieve an unambiguous ranking of the various regions or relevant Decision Making Units (DMUs) in the area concerned. The study will employ an extensive database based on field work among the individual actors in the cluster, in combination with a broadly composed territorial-capital database for the areas under study. The paper will be concluded with some strategic policy lessons. 39 40 K. Kourtit, P. Nijkamp, S. Suzuki

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Exploring Innovation Gaps in the American Space Economy

Mulligan

Reid

Carruthers

et al. 2017

Regional Research Frontiers - Vol. 1

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The Role of Universities in Supporting New Technology Industries through Commercialization Spin-off Activities

Cited by 4 publications

References 39 publications

Key licensing technologies for patents based on university– industry collaboration

Key licensing technologies for patents based on university– industry collaboration

Effective Clusters as Territorial Performance Engines in a Regional Development Strategy - A Triple-Layer DEA Assessment of the Aviation Valley in Poland

Exploring Innovation Gaps in the American Space Economy

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