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.

scholarly journals Enhancing university –industry collaboration: What are the drivers of academic researchers’ involvement in industry?

2015 ◽  
Vol 1 (1) ◽  
pp. 36-46 ◽  
Author(s):  
Mostak Ahamed Galib ◽  
Kamrun Nahar Munny ◽  
Akmal Khudaykulov
Keyword(s):  
Organizational Outcomes ◽  
Theory And Practice ◽  
Key Factors ◽  
Scientific Model ◽  
Learning Capability ◽  
Industry Collaboration ◽  
Industry Engagement ◽  
Research Networking ◽  
The Relationship ◽  
University Industry

Industry engagement of researchers plays an important role in organizational outcomes such as increased number of licenses and patents, innovation, successful R&Ds and consequently increased efficiency and economic performance. The gap between the theory and practice of industry engagement are identified and a scientific model of industry engagement of is developed in this paper. The research model depicts the possible generation of the industry engagement as an outcome. Through a detailed review of all factors belonging to the scope of motives that are opportunity-driven, key factors that are most conducive to researchers’ industry engagement were identified. We have proposed the relationship between compensation and recognition, access to resources, application of the research, networking opportunities, and industry problem solving with industry engagement. This study supports the notion that industry engagement is essential for improving organizational learning capability and innovation performance. Significant implications for organizations exist, as they are aware of which parts of their operations and conditions will drive relevant talent to engage in the organizations’ work. academia drivers

scholarly journals The Ph.D. Dilemma in Canada Revisited

1978 ◽  
Vol 8 (2) ◽  
pp. 49-92
Author(s):  
Max Von Zur-Muehlen
Keyword(s):  
Graduate Education ◽  
Doctoral Students ◽  
Historical Trends ◽  
Doctoral Studies ◽  
Doctoral Graduates ◽  
Canadian Universities ◽  
University Teachers ◽  
Declining Demand ◽  
History Of ◽  
The Many

Growth of doctoral studies at Canadian universities in the last two decades has resulted in the more than 1,000 programs that are now offered. Not surprisingly, the output of Ph.D. graduates has increased 6 fold since the early sixties. But during the seventies, an imbalance between the rising supply of Ph.D. 's and the declining demand for them, particularly in higher education, became apparent. This paper traces historical trends in the employment of Canada's Ph.D. holders, and looks at their prospects for the future. Traditionally, about 65% of doctoral graduates have entered educational occupations. Today, because of the youthful age structure, there are few retirements or deaths, and hence, the annual replacement demand is for only about 500 Ph.D. 's. But Canadian universities now confer around 2,000 doctorates each year (including returning Canadians from abroad). Moreover, this imbalance is apt to persist. On the basis of the current enrolment of 13,000, the Ph.D. supply has been projected from 1977-78 to 1981-82 for 45 disciplines. Relating these supply estimates to the likely demand for university teachers reveals a potential surplus in almost every discipline. A cycle of shortage and surplus appears to have developed in some fields. These simulations have been derived from assumptions, which are outlined in two appendices and 26 supporting tables. In addition, this paper also examines other features of the Ph.D. situation in Canada: a history of the growth of graduate education; variations in the ratio of Ph.D. enrolment to graduates in different disciplines; support programs for doctoral students, and the immigration of university teachers. The information provides an overview of the many dimensions of the Ph.D. issue.

scholarly journals Industry Collaborations of Research Teams: Are They Penalized or Rewarded in the Grant Evaluation Process?

2021 ◽  
Vol 6 ◽  
Author(s):  
Sıla Öcalan-Özel ◽  
Patrick Llerena
Keyword(s):  
Evaluation Process ◽  
Grant Application ◽  
Policy Objective ◽  
Evaluation Scheme ◽  
Significant Relationships ◽  
Industry Collaboration ◽  
Diversity Effect ◽  
Industry Engagement ◽  
A Company ◽  
University Industry

This paper explores the relationship between the industry collaborations of grant applicant teams and the outcomes of a multistage grant evaluation process. We studied this relationship by focusing on two possible channels of impact of industry engagement—team diversity (or the diversity effect) and prior collaboration experience (or the experience effect)—and examined their influence on the evaluators' decision by using the proxies of direct industry engagement (i.e., the involvement of a company-affiliated researcher in the grant applicant team) and indirect industry engagement (i.e., joint publications with a company-affiliated researcher prior to the grant application), respectively. We analyzed data extracted from the application and reviewed materials of a multidisciplinary, pan-European research funding scheme—European Collaborative Research (EUROCORES)—for the period 2002–2010 and conducted an empirical investigation of its three consecutive grant evaluation stages at the team level. We found that teams presenting an indirect engagement were more likely to pass the first stage of selection, whereas no significant relationships were found at any of the three evaluation stages for teams presenting a direct engagement. Our findings point to the heterogeneity of the decision-making process within a multistage grant evaluation scheme and suggest that the policy objective of fostering university–industry collaboration does not significantly impact the funding process.

Engineers for Industry

2019 ◽  
pp. 35-45
Author(s):  
Robin P. Clark ◽  
Jane Andrews
Keyword(s):  
Engineering Education ◽  
Industry Collaboration ◽  
The World ◽  
The Future ◽  
The Many ◽  
The University ◽  
University Industry

The need for a reliable supply of engineering talent is accepted globally, but in many parts of the world the many challenges mean that this is not easily achieved. Even if the graduate supply is a reality, often there are concerns about the quality of the engineers entering the workforce. This chapter will explore this landscape, and after identifying the many challenges, explore solutions and potential ideas for the future of engineering education and the university/industry collaboration.

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 Building and Supporting Humanities-Based University–industry Partnerships: View from the Academics

2019 ◽  
Author(s):  
Lynne Siemens
Keyword(s):  
Policy Intervention ◽  
For Profit ◽  
Not For Profit ◽  
Industry Collaboration ◽  
New Knowledge ◽  
Industry Partnerships ◽  
The Many ◽  
The University ◽  
University Industry

University–industry partnerships are rare on the humanities side of campus in contrast to the sciences. As a result, little is known about these partnerships, which tend to be with libraries and other not-for-profit organizations. Using the Implementing New Knowledge Environments: Network Open Social Scholarship (INKE:NOSS) as a case study, this research examines a humanities-based university–industry partnership from the academics’ perspective. It explores the nature of the collaboration, associated benefits and challenges, and measures of success and desired outcomes. Overall, building upon several years of working with the partners, the interviewed researchers found that the benefits of collaborating outweighed the challenges. The benefits included the potential to move research towards production-orientated results. Among the many challenges, there was some hesitation about the ability to achieve publications and presentations needed for tenure and promotion. The academics contributed students, and in-kind and cash resources from their own research funds and those of the university to the partnership. At this point, the measures of success and desirable outcomes have not been quantified and instead focus on policy intervention and movement towards open social scholarship. These understandings about the nature of such a university–industry collaboration should provide a good foundation if partnership is funded.

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.

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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