scholarly journals A Typology of Research Training in University—Industry Collaboration

2011 ◽  
Vol 25 (2) ◽  
pp. 93-107 ◽  
Author(s):  
Kuang-Hsu Chiang
Keyword(s):  
Doctoral Students ◽  
Research Collaboration ◽  
Research Training ◽  
Industry Collaboration ◽  
Educational Implications ◽  
Knowledge Perspective ◽  
Research Findings ◽  
Training Programmes ◽  
University Industry ◽  
Depth Interviews

This paper examines the educational implications of research collaboration between university and industry for the research training of doctoral students. It is concerned with the issues of how research training is constructed in such collaborations and what might be the effects of collaboration on doctoral students' learning. The study adopts a knowledge perspective. Three different dispositions of knowledge are identified: ‘expert’, ‘utilitarian’ and ‘commercialized’. Doctoral students' experiences were examined in relation to two aspects of research training – industrial involvement in supervision and academic freedom – in university–industry collaboration in the field of life sciences. Thirty-five in-depth interviews were carried out at BioCity Turku in Finland with 16 doctoral students, 14 of their supervisors and 5 PhD graduates. Four major types of PhD research collaboration were discovered, characterized as ‘Financial’, ‘Interactive’, ‘Kangaroo’ and ‘Appendant’. The significance of each type is discussed in relation to different knowledge dispositions. Drawing on the research findings, suggestions are offered for constructing successful research training programmes through university–industry collaboration.

Trust and dynamic governance mechanisms in the university-industry R&D alliances

2020 ◽  
Vol 11 (2) ◽  
pp. 171-192
Author(s):  
Somchai Ruangpermpool ◽  
Barbara Igel ◽  
Sununta Siengthai
Keyword(s):  
Research Collaboration ◽  
Control Mechanisms ◽  
Governance Mechanisms ◽  
Informal Control ◽  
Content Type ◽  
Case Research ◽  
Thai Government ◽  
The University ◽  
University Industry ◽  
Depth Interviews

Purpose This paper aims to examine how the dynamic interplay of governance mechanisms of the university-firm R&D alliance reduces obstacles and enables the successful commercialization of research collaboration output. Design/methodology/approach A longitudinal case research and retrospective strategy were used to collect relevant data and information in the four university-and-firm alliance teams collaborating on R&D projects in Thailand during 2008-2014. In-depth interviews and meetings were conducted with representatives of all partners and R&D project teams. Findings The authors found that formal and informal control mechanisms act as complementary forms of governance. The informal control (trust) serves as the frame of intentions whether the formal control is interpreted as a guideline or a commitment. Both formal and informal control mechanisms must be put in place to successfully and sustainably develop collaborative research into a commercial product. Research limitations/implications This study investigated four Thai government-funded research collaboration teams from a single industry. It would be worth investigating such research collaboration in other industries and those without any government funding. Originality/value This study applied an exploratory case research method which is rarely used in research on R&D alliance teams. It generates cross-functional insights on how to build trust in such R&D context, especially in an emerging economy.

scholarly journals A Modern Strategy for the Development of Academic Staff Based on University-Industry Knowledge Transfer Effectiveness & Collaborative Research

2013 ◽  
Vol 64 (3) ◽  
Author(s):  
Saima Iqbal ◽  
Abeda Muhammad Iqbal ◽  
Adnan Shahid Khan ◽  
Aslan Amat Senin
Keyword(s):  
Knowledge Transfer ◽  
Collaborative Research ◽  
Academic Staff ◽  
Vital Role ◽  
Effective Interactions ◽  
Research Relationship ◽  
Industry Collaboration ◽  
Research Findings ◽  
Applied Knowledge ◽  
University Industry

University and industry has substantially contributed to enhancing the quality of life. As a result, trans-disciplinary scientific communities have come to play a vital role to produce new knowledge with effective applications for rapid technological change and innovation to be a competitive globally. For this purpose study provide a framework for the development of academic staff of higher education. We used University-Industry collaboration as the channel to develop and encourage teachers, doctors, professors and researchers with the help of research relationship. The paper contributes to the literature on university-industry interactions to improve applied knowledge, skills and practices of academic staff and enhancement on technology innovation and commercialization. Secondly, our aim to provide an efficient mechanism of knowledge transfer effectiveness (KTE) and collaborative research (CR) those are available to transfer and share knowledge and information from university to industry effectively and to eliminate major obstacles of knowledge transfer by using productive knowledge transfer indicators (KTIs). Research findings indicates the question is, how the process of university-industry interaction will be managed at different stages for the success of knowledge transfer and how knowledge gap is reduced through effective interactions. By adopting this framework any university or industry can easily cross the threshold in the grown-up academic and research collaborational community.

scholarly journals Effects of construction industry support for PhD projects: The case of a Swedish scheme

2020 ◽  
Vol 34 (6) ◽  
pp. 391-400
Author(s):  
Jan Bröchner ◽  
Ahmet Anıl Sezer
Keyword(s):  
Doctoral Students ◽  
Construction Industry ◽  
Relevant Information ◽  
Doctoral Studies ◽  
Development Fund ◽  
Industry Collaboration ◽  
Industry Engagement ◽  
The Many ◽  
Doctoral Programmes ◽  
University Industry

One of the many varieties of university–industry collaboration is industry engagement in doctoral programmes. A scheme operated by the Development Fund of the Swedish Construction Industry since the early 1990s has supported thesis projects for about 150 PhD candidates. While they were doctoral students they were employed by contractors as industrial doctoral candidates or by universities. The purpose of this investigation was to analyse how, as PhD graduates, they perceived the benefits of doctoral studies for themselves as individuals and also how they have contributed to the organization that employs them. Results from a survey with 125 respondents show that the greatest individual benefit is that of being able to access relevant information more rapidly, and that the greatest perceived organizational benefit arises from their ability to cooperate with knowledgeable clients.

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.

A Novel Cost Efficient Evaluation Model for Assessing Research-Based Technology Transfer between University and Industry

2013 ◽  
Vol 64 (2) ◽  
Author(s):  
Abeda Muhammad Iqbal ◽  
Saima Iqbal ◽  
Adnan Shahid Khan ◽  
Aslan Amat Senin
Keyword(s):  
Research Collaboration ◽  
Evaluation Model ◽  
Intellectual Property Right ◽  
Industry Research ◽  
Industry Collaboration ◽  
Cost Efficient ◽  
Technological Competency ◽  
The University ◽  
University Industry ◽  
Successful Collaboration

Innovations and inventions are not outcomes of single activity of any organization. This is a result of collaboration of different partners. The evaluation of collaborated research between university and industry has created the greatest interest amongst the collaboration researchers as it can determine the feasibility and value of the collaboration. Despite the enormous importance of this collaboration, there have been certain problems in successful collaboration, for instance issues related to time, trainings, differences in their perceptions, orientations and goals, intellectual property right issues, some other technological competency and fund and financial matters are the key constraints that generates some how proportional to this collaboration. Thus to tackle the basis of these problems and to analyse the strength and weaknesses of these technological linkage, evaluation of such collaboration is highly demanded. This paper intends to illustrate an evaluation model to evaluate the university-industry collaboration and to enhance their technological linkage. For bridging the model, four important variables, constraints, evaluation parameter, success criteria and tangible outcome has been identified. The novelty of this model is, it is cost and time efficient and can be applied for any university-industry research collaboration.

IC & OI The impact of intellectual capital on organizational innovation

2020 ◽  
Vol 6 (7) ◽  
pp. 1257-1265
Author(s):  
Fouad El-Gamal
Keyword(s):  
Intellectual Capital ◽  
Middle Managers ◽  
Organizational Innovation ◽  
Sustainable Competitive Advantage ◽  
Dominant Dimension ◽  
Structural Capital ◽  
Corporate Innovation ◽  
Research Findings ◽  
The Impact ◽  
Depth Interviews

Intellectual capital can generate value for organizations and improve organizational innovation. This study aims to investigate the effects of intellectual capital on corporate innovation. Mixed research methodology approach has been used by combining both qualitative and quantitative analysis to explore and empirical examine the research model. The targeted population of interest is the licensed pharmaceutical manufactures, 90 organizations in the Egyptian pharmaceutical industry throughout its three main sectors (11 public, 70 local private and 9 MNCs). Statistical analyses are employed based on the questionnaires gathered from 39 pharmaceutical manufactures’ companies (44% response rate). In addition, sixty-three “63” in depth interviews have been conducted with both top and middle managers. The research findings indicate that all dimensions of intellectual capital (human, structural, and relational capital) have positive significant effects on organizational innovation of pharmaceutical manufactures’ companies. The study clarifies that the most dominant dimension is structural capital, which provides the largest and strongest support to pharmaceutical manufactures’ companies. The deep realization of the importance intellectual capital and its impact on innovation helps leaders to adopt accurate system to run organizational innovation in a better way, which lead to sustainable competitive advantage for organizations.

scholarly journals Exploring the Influences of Innovation Climate and Resource Endowments through Two Types of University–Industry Collaborative Activities on Regional Sustainable Development

2021 ◽  
Vol 13 (14) ◽  
pp. 7559
Author(s):  
Shu Yu ◽  
Shuangshuang Zhang ◽  
Takaya Yuizono
Keyword(s):  
Sustainable Development ◽  
Human Capital ◽  
Economic Development ◽  
Equation Modeling ◽  
Innovation Activities ◽  
Industry Collaboration ◽  
Regional Sustainable Development ◽  
Resource Endowments ◽  
Innovation Climate ◽  
University Industry

“Innovation driven” is the proper term for promoting regional sustainable development under the general goal of national high-quality development. University–industry collaboration (UIC) has become an important innovation resource for regional sustainable development. The study aims to analyze the influencing factors and mediating mechanisms of university–industry collaboration scientific and technological (S&T) and business activities oriented for regional sustainable development in 30 provinces in China (excluding Tibet). Specifically, we used the partial least squares (PLS) structural equation modeling method to test the effects of innovation climate and resource endowments on regional sustainable development through two mode pathways of university–industry collaboration activities. The results show that the innovation climate and resource endowments significantly affect UIC in scientific and technological innovation activities, and then affect the regional economic development and human capital. UIC S&T innovation activities play positive mediating roles in promoting regional sustainable development. In addition, the innovation climate does not significantly impact the business activities of UIC. Therefore, region can get a greater sustainable development through UIC S&T innovation activities than business activities. Much more UIC S&T activities can improve the economic development, human capital, and environmental conditions in the region.

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