University-industry Collaboration Research Articles

Leading organizations in information exchange: University-industry collaboration interfaces

Leading organizations in information exchange: University-industry collaboration interfaces

The application and planning of multi-scale integration in the talent cultivation model in the integration of higher vocational teaching industry and education

Abstract Addressing the challenges of integrating industry and education, this research unveils a knowledge monitoring model aimed at refining the talent cultivation process, particularly in higher trade colleges and universities in China. The “2+1” model is developed in response to issues such as ineffective teaching practices, an abundance of practical courses without depth, and weak university-industry collaboration. Based on a comprehensive analysis of the talent cultivation demand and integration policies, this model employs a multi-scale integration network to foster a meaningful fusion of industry and education. Through case study evaluation, a strong positive correlation (0.727, significant at the 0.01 level) between overall satisfaction and the accomplishment of skills cultivation highlights the model’s effectiveness. This contribution not only advances our understanding of talent development in vocational education but also has significant implications for the broader application of industry-education collaborative models.

How does product innovation affect the performance of university-industry collaboration A dynamic knowledge transfer perspective

How does product innovation affect the performance of university-industry collaboration A dynamic knowledge transfer perspective

Technology Transfer Offices for Better Management of The University-Industry Collaboration: Comparison of Slovenia, Italy, And Malta

Technology Transfer Offices for Better Management of The University-Industry Collaboration: Comparison of Slovenia, Italy, And Malta

Objectives of University Industry Collaboration in Nepal: Observation of Students, Professors and Industrial Leaders

The collaborative relationship between university and industry is becoming crucial research phenomena for professors, students, industrial leaders, government and the general public in the advanced developing as well as underdeveloped economies. It has become more imperative to the management schools and institutes and research centers. In the prevailing knowledge economy universities are called to produce innovative and creative manpower ready to job in the organizations. This research was conducted in Nepalese business management schools operating under the three leading universities, namely Tribhuvan University, Pokhara University and Kathmandu University. Apart from the students and professors, the perception of business community leaders also has been included in regard to attainability of the objectives of university industry collaboration in Nepal. The objective of the study was to find the perception of students, course facilitators and industrial leaders about the level of attainability of the stated objective of UIC. With some differences all respondentsfound the objectives of UIC are attainable in Nepal. Such kind of research is important to the universities, especially business management educators, the industries and the government to frame education policy and curriculum.

Guide to Education and Employment Matching Supply and Demand Project by Ministry of Education and Sophia Technology (SHENZHEN) Co.,Ltd.

Founded on January 5, 2017, Sophia Technology (Shenzhen) Co., Ltd. is an advanced e-commerce, international trade, intelligent transportation, artificial intelligence, aerospace science and technology, software development, digital economy integrated solution service provider. Sophia Technology (Shenzhen) Co., Ltd. participated in the first phase of the Ministry of Education’s supply and demand matching employment and education project. Under the guidance of the Ministry of Education, Sophia Technology (Shenzhen) Co., Ltd. has participated in the Ministry of Education's University-Industry Collaborative Education Program since 2017, and has set up the Ministry of Education’s Industry-University Cooperation Cooperative Education Project with Tsinghua University and other colleges and universities, as well as the Jilin Province Industry-University Cooperative Cooperation Cooperative Education Project of 362 items, and the “Microbial Pharmaceutical Virtual Simulation Teaching System” with Northwestern Polytechnical University has been awarded as the excellent case of the Ministry of Education's Industry-University Cooperation Cooperative Education Program.

Fostering University-Industry Collaboration: Unveiling the Mediating Influence of Gratitude between Relational Benefits and Relationship Value

The relationship between universities and industry (UIRs) has been a significant phenomenon for the past decade. The West has made tremendous progress in this area since the Industrial Revolution. However, there is a need for more reliable studies on UIRs, specifically on the creation of value, which can help identify gaps in this field. This research's primary objective is to analyze gratitude's role in understanding the relationship between relational benefits (RB) and relationship value (RV). To achieve this, a survey questionnaire was used to assess the applicability of the CG model to the field of education. The results indicate that CG mediates the relationship between relationship benefits and relational value.

Comparison of the criteria affecting the digital innovation performance of the European Union (EU) member and candidate countries with the entropy weight-TOPSIS method and investigation of its importance for SMEs

Digital innovation offers new competitive opportunities for the EU to achieve its digital strategies and innovation objectives. This study aims to show that the digital innovation performance of SMEs is related to criteria that affect countries' levels of digital technology adoption, digital transformation and innovation management. The digital innovation indicators used for this purpose are ICT, knowledge-intensive employment, university-industry collaborations on R&D, digital skills, patent applications, investments in new technologies, R&D expenditures, use of virtual social networks and cyber security. Research data were obtained from the Global Innovation Index (GII), Global Competitiveness Index (GCI) and Network Readiness Index (NRI). These data were analyzed with the Entropy Weight-TOPSIS method and EU and candidate countries were compared. In the results of the research analysis, Austria, Denmark and Germany took the first three places. In the ranking of these countries, ICT utilization, patent applications and R&D expenditures have high scores. The last three ranked countries are Turkey, Serbia and Croatia. Compared to EU members and other candidate countries, these three countries have the lowest scores in ICT use, patent applications, knowledge intensive employment, digital skills, investment in new technologies and university-industry cooperation in R&D.

University-Industry Collaboration For Manpower Planning And The Challenges Of Economic Development

The development of manpower aimed at addressing the prevailing and future needs of a given society is a good reason for designing and structuring collaboration between universities and industries. Using a qualitative research design, this article explored the university-industry collaboration for manpower planning and the challenges of economic development in Nigeria. It looked at the concept of university education as a private and social investment that has a limitless rate of returns to both the individual recipient and the society. It also discussed the relationship between economic development and manpower development planning and highlighted that economic development which is a deliberate process of sustained quality improvement of the people requires proper planning, at the center of which is manpower development planning. Furthermore, the critical roles universities and industries in Nigeria have to play in producing the skills needed for industries and national development were also examined. These roles include producing high-level and middle level manpower in order to address socio-economic challenges, boosting the acquisition of skills to tackle the mismatch between skills of the available workforce and job vacancies, and championing ideas and innovations to facilitate access to new markets. The article suggested a number of strategic approaches to foster a stronger collaboration of universities with industry. These strategies include among others an establishment of a consultative process where the voice of relevant business managers is given adequate consideration in curriculum development in order to ensure that the academic programs of universities are tailored to the needs of the industries.

A model for enhancing creativity, collaboration and pre-professional identities in technology-supported cross-organizational communities of practice

This research proposes that technology-supported cross-organizational (university-industry) Communities of Practice (CoPs), which are integrated into the Design Studies curriculum in Higher Education, can foster robust university-industry collaborations. These can help bridge the reported gap between the actual versus the expected soft skills and personae of young graduates transitioning to the creative industries today. CoPs are groups of people who share a common interest in an area of ‘endeavor’ and connect to co-create competence in that area through their practice.This paper makes two overarching research contributions. First, it informs about the design, enactment, and evaluation of a student CoP in an undergraduate Design course which was expanded to include members from the industry as clients, alumni mentors, and expert evaluators. Drawing from rich empirical data, the paper explains the designed and emergent learning phenomena of CoP participation and its effects on the students’ creative and socio-epistemic outcomes, as well as their pre-professional identities. Second, it presents a governance model with three sets of actionable guidelines, namely the Set (technology), the Social (collaborative), and the Epistemic (learning) components. The entire body of work validates the critical interlocking of these components to form a robust social learning model that appropriates the complex practices of cross-organizational CoPs in Higher Education Design studies.

Scaling Greater Heights in Higher Education Through Boundary-Spanning-Based University-Industry Collaboration: the ‘Four New’ Project in China

Abstract China’s ‘Four New Project’ initiative has been a major attempt to achieve quality revolution in higher education since 2017. Underpinning it are comprehensive strategies coordinating multiple stakeholders to span boundaries and develop a synergistic approach for collaborative education. This paper teases out China’s national policies and measures to develop a leadership-oriented innovation ecosystem for higher education, drawing upon boundary-spanning perspectives of various practices in engineering education, medical education, agriculture education, and liberal arts education. It unravels how stakeholders with different interest pursuits have been coordinated to jointly fuel the reform to China’s higher education talent cultivation patterns in response to the demands of Industry 4.0 and Biomedicine 3.0. The findings render visible the macro changes in higher education institutions across tiers, types and fields, and also unravel the project’s robust effects on teaching and learning at micro level. Challenges are also discussed to shed light upon space of improvement.

Commercialisation time and licensing performance of university inventions: the moderating role of university inventors

ABSTRACT This paper examines the relationship between time and performance in the commercialisation of university-originated inventions. Focusing on the commercialisation time, defined as the time taken for a lab-scale invention to be developed for commercial sale, we investigate whether there is any systematic association between commercialisation time and the licensing revenue generated by university-originated inventions. Analysing a sample of inventions from Stanford University, we find that both pre- and postlicensing time of commercialisation are negatively associated with its licensing revenue. We also find that the negative relationship between the postlicensing time of commercialisation and licensing revenue is contingent on the inventor’s orientation towards university-industry collaboration. We discuss theoretical and practical implications of our findings as well as future avenues of research in technology commercialisation.

An empirical investigation into UK university–industry collaboration: the development of an impact framework

Providing evidence of the impact of university–industry (U–I) partnerships is challenging. This empirical research contributes to this thought-provoking subject area by developing an impact assessment framework to assess the effect of collaboration between university and industry. This is examined through a multiple case study approach: 13 partnership schemes, each of two years duration, in manufacturing and healthcare. This study demonstrates that effective knowledge transfer from universities to enterprises is not only hypothetically feasible, but also realistically tangible and measurable. It explores how Business and Management Schools transfer knowledge and technology through external interventions and formal partnership schemes. Our findings show that impact and knowledge transfer can be evaluated, but requires active facilitation before, during and after the project, plus a level of openness and expert engagement within the partnerships. Additionally, our findings established that healthcare partnerships generated higher perceived levels of impact than manufacturing. This perhaps indicates that further work is necessary to resolve the issues limiting the productivity gains of manufacturing partnerships.

Data literacy education through university-industry collaboration

Purpose This study aims to explore the findings related to data literacy skills for students to succeed in the digital age labor market and the role of university-industry collaborations (UICs) in the co-design and co-delivery of curriculum for the development of students’ data literacy. Design/methodology/approach The study uses an interview-based research methodology to gather insights from industry partners and stakeholders. The interviews focus on identifying key data literacy skills, understanding the significance of these skills and exploring the role of UICs in enhancing students’ data literacy. Findings The findings reveal several important data literacy skills for students. The most commonly mentioned skills include data evaluation/analysis, identifying the relevance of data and data protection in a sensitive manner. Participants also emphasized the importance of recognizing the interrelationships among data, adapting data across different contexts and strategically combining diverse data. The study emphasizes the role of universities in providing a well-rounded educational setting that fosters the development of data literacy skills. Additionally, it highlights the value of practical collaborations between universities and industries, enabling students to apply theoretical knowledge in real-world contexts. Originality/value The study highlights the interconnected nature of various data skills and emphasizes the significance of data literacy in navigating the complexities of the digital age labor market. It also sheds light on the role of UICs in codesigning and codelivering curricula to enhance students’ data literacy. The findings provide valuable insights into the practical implications for UICs in preparing students for the data-driven job market.

Career trajectory and cross‐system mobility: Career planning of doctoral students in Macao

AbstractThis study investigates career trajectory and work locations of doctoral students trained in Macao and analyses how their career paths are shaped by perceived macro‐level factors. Respondents from four applied disciplinary areas were selected for semi‐structured in‐depth interviews. Research results show that doctoral students who graduated from Macao higher education institutions enjoy good career prospects in Mainland China. Their competitiveness in the research‐related job market benefits from having a multi‐level support system and a training mode that promotes government–university–industry collaboration. Policies and demand from industrial sectors are involved in students' learning experience through channels such as financial support, project collaboration and networks. Doctoral students in Macao are strategic planners and actors in leveraging their human capital. As Macao becomes an emerging destination for cultivating high‐level research labour, findings from this study capture a model of human capital formation in China's cross‐system context.

University Knowledge Inside: How and When University–Industry Collaborations Make New Products More Attractive to Consumers

In this research, the authors examine how consumers perceive the fruits of university–industry collaborations (i.e., new products codeveloped with universities). Eight studies document a positive university effect and highlight its practical significance and boundary conditions. An Instagram A/B test utilizing a video that refers (vs. does not refer) to the underlying university–industry collaboration results in higher click-through rates and ad engagement levels. Another field study demonstrates that university-codeveloped products are more attractive to consumers, even after an actual product trial. Further, several consequential studies reveal that consumers are willing to pay up to 65% more for products marketed as codeveloped with a university. The authors argue and show that collaborating with a university infuses the underlying firm with a stronger sense of scientific legitimacy, thereby making the resulting product more attractive to consumers. Congruously, the authors find that the effect is more pronounced when the scientific legitimacy engendered by universities is more important to the focal product (i.e., high tech vs. low tech), underlying company (i.e., new vs. established), or target customer (i.e., high vs. low belief in science).

Aligning entrepreneurial universities' HEInnovate dimensions with entrepreneurs' needs: A graduate entrepreneur-centered perspective

PurposeEntrepreneurial universities can bridge innovation and the entrepreneurial ecosystems to emerge as knowledge providers and capability aggregators that catalyse regional and national economic and social development. Given their prominent role in society, this study seeks to understand how entrepreneurial teaching and learning, preparing and supporting entrepreneurs, and digital transformation and capabilities (HEInnovate dimensions) influence the development of graduates' entrepreneurial activities. Design/methodology/approachBased on 13 interviews with graduate entrepreneurs, this study reveals the multiple aspects involved in the university entrepreneurial structures approached by the dimension of the HEInnovate scale. FindingsThe findings convey how entrepreneurial graduates are aware of the need for university-industry collaboration and the dependence on government policy and funding.The findings generate implications. Originality/valueThis study contributes to theory and practice as well as a framework illustrating the articulation among formulated research propositions and underlining their positioning within the mutual engagement of Triple Helix dynamics.

University engagement in open innovation and intellectual property: evidence from university–industry collaborations

University engagement in open innovation and intellectual property: evidence from university–industry collaborations

Key policy mechanisms supporting the University–Industry collaboration in the Danube region: case study of academic HPC centres and SMEs

Purpose This paper aims to explore the key anchors of the National Innovation System shaping the nature of collaboration between academic high-performance computing centres (academic HPC centres) and small- to medium-sized enterprises (SMEs) working in the automotive and electronics sectors of the Danube region. With two main research questions, it discusses the importance of knowledge transfer and technology transfer for collaboration between University and Industry (U-I collaboration) in three groups of developmentally distinct countries: competitively advanced, competitively intermediate and competitively lagging. As main anchors of the innovation system, stable legal environment, exciting innovation policies and strong R&D funding are recognised.Design/methodology/approachA qualitative empirical study in 14 Danube region countries included 92 focus group participants, expert representatives of academic HPC centres and SMEs. The data were audio recorded, transcribed and analysed.FindingsThe findings show the main prerequisites of the framework conditions for efficient U-I collaboration evolve through a goal-oriented National Innovation Policy and developed and functioning legal environment supporting labour market and intellectual property (IP) protection and enforcement. Additionally, skilled people are needed to be able to operate with HPC, where it seems all the countries lack such skilled workforce. In competitively lagging countries, the high levels of brain drain exhibit strong impact to U-I collaboration.Research limitations/implicationsResearch into relationships between academic HPC centres and SMEs conducted was qualitative; therefore, limitations in terms of generalisation arise from it. On the other hand, the research is promising in terms of offering the guidance for policy makers who can use the findings when delivering innovation policy mix, adjusted to developmental level of own innovation ecosystem.Originality/value The study is among the pioneering work in U-I collaboration between academic HPC centres and SMEs from automotive and electronics industries in the Danube region. The research addresses the dynamics of collaboration and offers policy implications to strengthen the particular U-I collaboration.

University-industry collaboration as a driver of digital transformation: Types, benefits and enablers

University-Industry collaboration as a driver of digital transformation ultimately depends on the engagement and relationship between individual academics and industry practitioners as partners in a trust relationship. This paper describes the personal (‘lived’) experiences of academics and industry practitioners. The types, benefits, and enablers of the collaboration were investigated during semi-structured face-to-face interviews with industry partners and academic staff from the Science, Technology, Engineering and Mathematics (STEM) unit at the University of Enterprise in Australia. The types of collaboration included research activities, sharing facilities and equipment, innovation and commercialisation, collaboration involving students projects, collaborative teaching and learning, and sharing facilities and equipment. The benefits of the collaboration include access to valuable resources, validation of work, learning and teaching opportunities, financial benefits, improved reputation and career progression. The enablers of collaboration have been clustered into institutional, output, framework, and relationship factors. In this paper we focus on relationship factors and institutional enablers such as stakeholder engagement. The research is represented in a UA-IP Collaboration Model indicating the types (what), benefits (why), and enablers (how) of academic-practitioner collaboration. Universities and businesses from a variety of industries can benefit from the results of the presented research.