Neuro-Model for Improving the University-Industry Collaboration and Intellectual Property

2018 ◽  
pp. 163-191
Author(s):  
Pedro Ponce ◽  
Ken Polasko ◽  
Arturo Molina
Keyword(s):  
Technology Transfer ◽  
Intellectual Property ◽  
Doctoral Students ◽  
Model Performance ◽  
The United States ◽  
Industry Collaboration ◽  
Artificial Neural Network Ann ◽  
The University ◽  
University Industry ◽  
Determinant Factor

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.

scholarly journals University–Industry Collaboration: A Sustainable Technology Transfer Model

2021 ◽  
Vol 11 (4) ◽  
pp. 142
Author(s):  
Antonia Terán-Bustamante ◽  
Antonieta Martínez-Velasco ◽  
Andrée Marie López-Fernández
Keyword(s):  
Technology Transfer ◽  
Innovation Management ◽  
Absorption Capacity ◽  
Management Control ◽  
Transfer Model ◽  
Know How ◽  
Industry Collaboration ◽  
Knowledge Intensive ◽  
The University ◽  
University Industry

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.

HE–Industry Collaboration in Northern Portugal

1992 ◽  
Vol 6 (4) ◽  
pp. 245-249
Author(s):  
L. Chaínho Pereira
Keyword(s):  
Technology Transfer ◽  
Commercial Sector ◽  
Industrial Enterprises ◽  
Northern Portugal ◽  
Industry Collaboration ◽  
The University ◽  
University Industry

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.

scholarly journals Science-based entrepreneurship education as a means for university-industry technology transfer

2020 ◽  
Author(s):  
Marlous Blankesteijn ◽  
Bart Bossink ◽  
Peter van der Sijde
Keyword(s):  
Technology Transfer ◽  
Scientific Literature ◽  
Relevant Literature ◽  
Empirical Finding ◽  
Entrepreneurship Education ◽  
Theory And Practice ◽  
Science Technology ◽  
Industry Collaboration ◽  
The University ◽  
University Industry

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.

China’s Science-Based Innovation and Technology Transfer in the Global Context

2021 ◽  
pp. 314-336
Author(s):  
Jizhen Li ◽  
Ximing Yin ◽  
Subrina Shen
Keyword(s):  
Technology Transfer ◽  
Industrial Revolution ◽  
Government Officials ◽  
Global Context ◽  
Innovation And Technology ◽  
The University ◽  
University Industry ◽  
Critical Overview ◽  
And Diffusion ◽  
University Industry Linkages

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.

scholarly journals Developing students’ aptitudes through University-Industry collaboration

2015 ◽  
Vol 35 (3) ◽  
pp. 121-128 ◽  
Author(s):  
Miguel Aizpun ◽  
Diego Sandino ◽  
Inaki Merideno
Keyword(s):  
Engineering Students ◽  
Technical Knowledge ◽  
Collaborative Approach ◽  
Engineering Knowledge ◽  
Undergraduate Engineering ◽  
Student Community ◽  
Novel Approach ◽  
Industry Collaboration ◽  
The University ◽  
University Industry

<p>In addition to the engineering knowledge base that has been traditionally taught, today’s undergraduate engineering students need to be given the opportunity to practice a set of skills that will be demanded to them by future employers, namely: creativity, teamwork, problem solving, leadership and the ability to generate innovative ideas. In order to achieve this and educate engineers with both in-depth technical knowledge and professional skills, universities must carry out their own innovating and find suitable approaches that serve their students. This article presents a novel approach that involves university-industry collaboration. It is based on creating a student community for a particular company, allowing students to deal with real industry projects and apply what they are learning in the classroom. A sample project for the German sports brand adidas is presented, along with the project results and evaluation by students and teachers. The university-industry collaborative approach is shown to be beneficial for both students and industry.</p>

The Impact of Culture on University–Industry Knowledge Interaction in the Chinese MNC Context

2010 ◽  
pp. 295-320
Author(s):  
Jianzhong Hong ◽  
Johanna Heikkinen ◽  
Mia Salila
Keyword(s):  
Future Research ◽  
Transfer Of Knowledge ◽  
Global Competitiveness ◽  
Work In Process ◽  
Industry Collaboration ◽  
The University ◽  
Different Cultures ◽  
The Impact ◽  
Collaborative Knowledge ◽  
University Industry

Recent studies on university–industry collaboration have paid a growing attention to complementary knowledge interaction, which is of crucial importance for networked learning and knowledge co-creation needed in today’s rapidly changing markets and for gaining global competitiveness. The existent studies concentrate on the transfer of knowledge from the university to the company, and the impact of culture is examined with a focus on fundamentally different cultures between two types of organizations (i.e., between universities and firms). The studies, however, remain highly fragmented in cultural exploration on one level, and are primarily concerned with one-way technology and knowledge transfer. Research on more interactive knowledge interaction (e.g., collaborative knowledge creation) and especially in the Chinese context is seriously lacking. This chapter explores university–industry knowledge interaction in a broad sense, focusing on the development of a conceptual view on the understanding and analysis of the cultural impact in the Chinese MNC context. The chapter is an early work in process and it is theoretical in nature. It clarifies and elaborates key concepts and perspectives, and suggests implications for future research and practice regarding effective knowledge co-creation involving dissimilar cultures.

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