HE–Industry Collaboration in Northern Portugal

1992 ◽  
Vol 6 (4) ◽  
pp. 245-249
Author(s):  
L. Chaínho Pereira

After describing the collaboration established between the University of Minho and industrial enterprises in the Minho region, the author discusses the R&D activities of the University and the mechanisms adopted to reinforce collaboration with the commercial sector. Special attention is paid to the role of university–industry interface institutes in promoting technology transfer within the Minho region.

1996 ◽  
Vol 10 (2) ◽  
pp. 71-78 ◽  
Author(s):  
Hans G. Schuetze

Research on technology transfer, industrial liaison, cooperative research and other forms of cooperation between universities and industry tend to concentrate on the links between universities and firms as if they were the only players in the game. Thus typically, academic and policy literature describes the process of such collaboration, the organizational, legal, administrative arrangements and settings, the factors that enhance, or conversely, impede cooperation, and the outcomes, projected and real, that are attributed to the university—industry cooperation. This article, starting from a different premise, looks into university—industry liaison from the perspective of a regional system of innovation, identifying various institutions in such a system, and their communication and interaction. It is in this framework that the role of universities and the process of technology transfer is analysed.


2021 ◽  
Vol 11 (4) ◽  
pp. 142
Author(s):  
Antonia Terán-Bustamante ◽  
Antonieta Martínez-Velasco ◽  
Andrée Marie López-Fernández

Faced with the pandemic caused by COVID-19, universities worldwide are giving a powerful response to support their communities. One way to provide support is via the collaboration between universities and industries, allowing the co-creation of knowledge that leads to innovation. Historically, universities, as knowledge-intensive organizations (KIOs), have produced knowledge through research. At present, its important contribution to countries’ economy is widely recognized through the development of new knowledge and technical know-how. Universities are a source of innovation for firms, which ultimately translates into social welfare improvements. The objective of this research is to analyze the university–firm linkage. The methodological strategy is carried out using Bayesian networks through a model where the main elements of university–industry linking, which impact competitiveness and innovation, are identified and quantified. The technology transfer model shows that the most crucial processes are Technology Strategy, Value Proposal, Knowledge Management, Control and Monitoring, Innovation Management, Needs Detection, Knowledge Creation, New Products and Services, and Absorption Capacity.


Author(s):  
Marlous Blankesteijn ◽  
Bart Bossink ◽  
Peter van der Sijde

AbstractThis paper explores the potential of university-industry technology transfer through science-based entrepreneurship education (SBEE). The scientific literature focuses mostly on enabling university-industry technology transfer via university-industry collaboration in research, and not so much in (science) education. The paper identifies four strands of relevant literature for further theorizing SBEE principles to research its contribution to industry-technology transfer: 1. Embedding entrepreneurship education in universities; 2. Balancing theory and practice of entrepreneurship education; 3. Cultivating an entrepreneurial mindset through entrepreneurship education; and 4. Creating spin-offs through entrepreneurship education. One of the main theoretical contributions of this paper is, that SBEE is different from regular entrepreneurship education in its need for being firmly embedded in a science, technology and R&D environment, both within and outside the university. This is important in order to give SBEE students the opportunity to gain experience with handling the hurdles for successful university-industry technology transfer. The main empirical finding is that elements in the program, related to for example the balance between teaching entrepreneurship through theory and experiential learning, are not systematically covered. It means that fundamental questions such as: Can entrepreneurship be indeed taught? Which elements of entrepreneurship can be taught through theory, and which ones must be experienced in practice? are currently left unanswered. Systematic coverage of these questions enables a better exploitation of the possibilities that SBEE offers for university-industry technology transfer.


2010 ◽  
Vol 14 (02) ◽  
pp. 201-219 ◽  
Author(s):  
YASUNORI BABA ◽  
MASARU YARIME ◽  
NAOHIRO SHICHIJO

This article aimed to identify the effect of university-industry collaborations on the innovative performance of firms operating in the advanced materials field, and it proposed an original classification of the research organization partners. The main contribution resides in the estimation of the role played by collaborations with differently experienced corporate researchers. In the advanced materials industry the most effective collaborations are driven by "core researchers," who have been involved in authoring scientific papers, in addition to applying sizeable patents. The results of the case study focusing on partner firms collaborating with "Pasteur scientists" such as Fujishima and Hashimoto of the University of Tokyo confirm the idea that core researchers have the quality to work as boundary spanners between science and technology, and that their becoming heavy-weighted project leaders pushed the firms' R&D towards commercialization.


Author(s):  
Pedro Ponce ◽  
Ken Polasko ◽  
Arturo Molina

Some universities in the United States are leading technology transfer by their many close partnerships with government and industry. This has benefited them financially and by enhancing their research reputation. Patent-based intellectual property is a determinant factor, so an adequate cost-aware model must be derived to understand the process completely. This chapter presents the design and results of an artificial neural network (ANN) which relates the patent cost and the primary inputs of the process to model performance. Such inputs are invention disclosure, new patents issued, U. S. patents issued, licenses and optional executed, and other major agreements. A prediction of patent's cost could help a technology transfer office decide over the research to be patented but also to evaluate cost benefits. In addition, an integral solution is proposed where the positions of doctoral students and postdocs are defined. Overall, generating high quality invention disclosures is improved based on a more effective relationship between universities and industries.


1995 ◽  
Vol 9 (5) ◽  
pp. 285-292 ◽  
Author(s):  
Jay Mitra ◽  
Piero Formica

This article analyses the behaviour of ‘learning’ companies and ‘entrepreneurial’ universities in the context of the territorial and business ecosystems of innovation in which they are involved. Against a background of the fundamental differences between the higher education and the commercial sector, and the history of university—industry cooperation in Europe, the characteristics of territorial ecosystems for innovation (TEIs) are set out and the holistic, networking and interactive models of knowledge and technology transfer are discussed. This analysis provides a conceptual framework for the successful development of territorial ecosystems of innovation which are identified as crucial for future successful European socio-economic development. As concrete examples of activities which contribute towards this end, the authors offer brief case studies of the Economic Development Unit and Innovation Centre at the University of North London and the London Technopole Initiative.


2021 ◽  
pp. 314-336
Author(s):  
Jizhen Li ◽  
Ximing Yin ◽  
Subrina Shen

Science-based innovation in universities and diffusion through university-industry linkages are the keys to strengthening national innovation capability, especially for emerging markets. This chapter provides a critical overview of China’s innovation and technology transfer between the university and industry in the context of globalization and the new industrial revolution. By doing this, the chapter attempts to provide critical insights for relevant stakeholders—whether they be researchers, innovators, entrepreneurs, government officials, investors, or international organizations—in China’s development, innovation, and technology transfer. The chapter illustrates three aspects related to China’s innovation and technology transfer in comparison with other major players in the field. Then it further analyzes the drivers and challenges of China’s science-based innovation and university technology transfer for understanding the future of China’s innovation and technology transfer.


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