• The Journal of Bigdata
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• v.6 no.2
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• pp.109-124
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• 2021

In this paper, the structural characteristics of Industry-University cooperation networks are analyzed using network analysis. Recent studies have shown that technological cooperation and joint research has a positive effect on R&D performance. In order to boost innovation performance, various types of cooperative activities and governmental policy supports for major R&D stakeholders(i.e. universities, laboratories, etc.) are provided. However, despite these efforts, the outcome is still insufficient, so it is time to prepare for a plan to build an innovative network to strengthen university-centered Industry-University cooperation activities. Specifically, this study builds the networks according to the form of Industry-University cooperations(i.e. patent, paper, joint research, and technology transfer), and different types of Industry-University cooperation networks are analyzed from a statistical viewpoint by using QAP correlation and regression analyses. The analysis results show that joint research network is closely related to paper network, and is related to other Industry-University cooperation networks. This study is expected to shed a light on supporting innovation activities such as establishing Industry-University cooperation strategies and discovering cooperative partners necessary for creating new growth engines for universities.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.359-368
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• 2016

In the 21st century, the Korean university education system is focused on innovation and change, including cooperation between industry and universities. It should be a goal to foster an industry-university ecosystem through interactions between universities and industry. Therefore, it is important to measure their relationships and to find advisable ways to measure the final results of industry-university cooperation. This paper sets out the achievements in cooperation and the satisfaction from such enterprises and measures mutual relationships influencing satisfaction from industry-university cooperation as to adherence and cooperation. Therefore, this research focuses on regression equation analysis in order to analyze the influence from satisfaction with industry-university cooperation based on factors in the relations between industry and universities. Also, as we examined the multicollinearity problem, before analyzing multiple regression, the multicollinearity problem appeared to be relatively irrelevant. In particular, the satisfaction variable, which can also be set as a subordinate variable, was in this research constructed as a high-dimensional subordinate variable composed of five individual variables. We then analyzed how the adherence construct factor and degree of cooperation construct factor influences the respective and subordinate satisfaction variables. As a result, the degree of realization of local customized programs was shown by the most significant variables. The biggest factor influencing satisfaction with industry-university cooperation proves the degree of realization for appropriate programs under local conditions, such as education, research, and technique guidance.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.2
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• pp.59-71
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• 2022

This study considered regional differences in the university-industry collaboration of Korean universities and performed cluster analysis to identify the spatial range with high university-industry collaboration connectivity. By university establishment type, it was found that the university-industry collaboration capacity of the major national university was superior overall, especially in the technology transfer & commercialization sector and the infrastructure sector, compared to private universities and general national universities. The spatial pattern of university-industry collaboration capacity showed relatively clear differences by city and province. In terms of university-industry collaboration capacity by sector, it was confirmed that the regional gap was not large in the talent training sector and the infrastructure sector, but the regional gap was relatively large in the technology transfer & commercialization sector and the start-up sector. As a result of the cluster analysis to identify a spatial range with high connectivity in terms of similarity and spatial proximity of university-industry collaboration patterns, it is divided into 15 clusters. It is found that most of major national universities are included in one of 15 clusters where all sectors of university-industry collaboration are strong. Therefore, as a policy measure to achieve regional innovative growth through enhancing the effectiveness of university-industry collaboration, we propose the establishment of a hub & spoke network-type collaboration system in which a major national university acts as a hub and nearby local universities play a spoke role.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.1
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• pp.107-118
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• 2014

enterprise to strengthen growth and technological competitiveness through close cooperation with universities and research institutions. The Purpose of this study is to present how to seek more participation in industry-university cooperation from Industry, University, Research Institute, and Government (I-U-R-G) using success factor analysis of "Excellent Industry-University Cooperation Coordinator". The findings can be summarized as follows. First, it is indicated that Coordinator' business aggressiveness positively affect the volume of business and technology DB excavation. Second, it is indicated that the number of agency staff positively affect the volume of business, the number of Project derived by Coordinator and new professors participation rate. Third, it is indicated that the Fellowship of the Enterprises positively affect the volume of business, technology DB excavation and new professors participation rate. Lastly, it is indicated that organization maintains, center chapter leadership, and local government'commitment don't have positive effect on the performance of I-U Cooperation of SMEs.. Therefore, in order to improve the performance of cooperation technology development projects that affect the technological competitiveness of SMEs, I-U cooperation coordinator needs more continuous attention and support from Industry, University, Research institution, and Government.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.373-374
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• 2011

산학협력은 대학과 기업이 사회 환경의 변화에 대비하고 상호간의 이익을 공유하기 위해 구성되고 있으나 대부분은 단기성 또는 일회성이 그치는 경우가 다반사다. 그 이유는 연구 결과 또는 연구여건, 내용 등 여러 문제가 있겠지만, 대부분이 산학협력에 대해 참여주체별 추진과정에서 나타난 심리적 갈등 및 불만족이 주요인 중 하나이다. 따라서 이 논문에서는 오래전부터 우리의 내면에 잠재되어있는 전통의식과 공동체적 협동방식에서산학협력의 문제점 발생요인에 대한 원인 및 해결방안을 파악하여 산학협력의 활성화 방안을 제시하였다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.4
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• pp.95-109
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• 2013

The practices and processes of HRM (Human Resource Management) for university faculty in Korea depend heavily on assessment of research and teaching rather than the UIC (University-Industry Cooperation) performance. In this regard, HRM of Korean universities is said to be far distant from UIC. Although policy initiatives by the Korean government, notably the MoE (Ministry of Education) have implemented in most universities, the desirable level of UIC could not be achieved yet. Moreover, the very notion of 'university' in Korea is much more to do with 'pure' education and research institution than with 'applied' and 'vocational' purpose. Considering upon HRM practices and organizational culture, for enhancing UIC in Korea, the government's policy should be linked to alter deep-rooted university culture. So the aims of the research are to describe the current state of HRM in Korean and foreign universities; to find out the critical factors of UIC in Korean universities; to analyze the gaps between university research and industrial commercialization based on a conceptual framework, the 'valley of the death'; and to recommend HRM policies fostering UIC for the MoE. For achieving these objectives, we deploy multiple methodologies, namely, in-depth interview, literature survey, and statistical data analysis with regard to UIC. Analyzing the data we have collected, the present research sheds light on all aspects of HRM processes and UICs. And the main policy implication is restricted to the Korean universities, even if we have collected and analyzed foreign universities, notably universities in the USA. The research findings are mainly two folds. Firstly, the HRM practices among Korean universities are very similar due to the legally institutionalized framework and the government's regulations. Secondly, the difficulties of UIC can be explained by notion of the 'valley of death' ways in which both parties of university and industry are looking for different purposes and directions. In order to overcome the gap in the valley of death, the HRM policy is better to be considered as leverage. Finally, the policy recommendations are as follows. Firstly, various kinds of UIC programs are able to enhance the performances of not only UIC, but also education and research outcome. Secondly, fostering organizational climate and culture for UIC, employing various UIC programs, and hiring industry-experienced faculty are all very important for enhancing the high performance of university. We recommend the HRM policies fostering UIC by means of indirect way rather than funding directly for university. The HRM policy of indirect support is more likely to have long-term effectiveness while the government's direct intervention to UIC will have likely short-term effectiveness as the previous policy initiatives have shown. The MEST's policy means of indirect support might vary from financial incentives to the universities practicing HRM for UIC voluntarily, to information disclosure for UIC. The benefits of the present research can be found in suggesting HRM policy for UIC, highlighting the significance of industry-experienced faculty for UIC, and providing statistical analysis and evidences of UIC in Korean universities.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.1
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• pp.71-81
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• 2020

Family companies are the unique industry-academic cooperation-related systems of Korean universities created by universities to promote various forms of industry-academic cooperation with companies. It is important to figure out the current status of family companies in order to understand the achievements of industrial-academic cooperation projects that have been actively pursued since the early 2000s. A lot of studies on industry-academic cooperation have focused mainly on the university's position. On the contrary, this study focuses on understanding the current status of the family company system and the status of industry-academic cooperation. Introduced in 2004, the Family Company System expanded rapidly as it was used as a performance indicator for college financial support projects related to industry-academic cooperation, with 174,425 companies registered as family companies as of 2017. A survey of family companies registered in universities carrying out the LINC+ project shows that companies registered in multiple universities are increasing, with relatively high demand and satisfaction for industry-academic cooperation among companies. Family companies were found to be relatively satisfied in terms of the use of R&D equipment or joint research, while they were relatively less satisfied in terms of workforce training and retraining. While companies have assessed product quality improvements through industry-academic cooperation, they have underestimated the effect of increasing sales and reducing production costs. Further, it was found that it was urgent to expand incentive systems and improve online information services to boost corporate participation in order to enhance the effectiveness of industry-academic cooperation.

• Journal of Korea Technology Innovation Society
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• v.19 no.1
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• pp.105-136
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• 2016

This paper analyzed the qualitative evaluation indicators of the SYSTEM sector of the LINC program, which aimed at strengthening ability of regional universities through the activities of industry-academia cooperation (IAC). By using interview data and the program reports of universities, this research explored the problems of the indicators and suggested improvement measures which could lead to performance creativity. According to research results, in university system reform for activating IAC, some improvements are required as follows: limiting excessive expansion of IAC-friendly faculty evaluation; and evaluating soft aspects in the reform of academic affairs. In relation to strengthening of ability of the IAC organization, the indicators need to be amended as follows: enhancing the role of channel of IAC Foundation; strengthening the function of planning team of the IAC Foundation; and inducing development of own model of universities for IAC. As regards expansion of IAC infrastructure, it is necessary to enlarge the manpower who can develop programs of the support center in the foundation and to secure of operators for effective operation of joint-using equipments. Therefore, the indicators are required to be upgraded, considering these improvement direction.

• International Commerce and Information Review
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• v.19 no.1
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• pp.305-324
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• 2017

Industry-University cooperation for pioneering overseas market contributes to improve the quality of manpower and the export performance. However, performance is showing that without exporting experience, exploring overseas market is not promising. Without systematic training and preparation, pioneering overseas market can be a waste of time and budget. I have conducted interviews with 30 participants in Industry-University cooperation for pioneering overseas market. As a result, I have derived a model for each phase of Industry-University cooperation. 8 stages of this model are student selection, cooperation company networking, student education, overseas market research, selection of trade fair, preparation of trade fair, dispatch of trade fair and follow-up management. Opinions of experts have been reflected and compiled to each suggested stage. Specific details can be applied directly to those affiliated who want to start the first or foremost pioneering overseas markets.

• International Commerce and Information Review
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• v.17 no.2
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• pp.307-327
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• 2015

Trade education methods that combine practical knowledge and on-site job training have significantly contributed in improving abilities of trade experts. For instance, GTEP and LINC have contributed to a substantial expansion of SME export performane. Moreover, students' cooperation experience have led to employment outcomes as SMEs can employ customized trade workers. I have conducted a survey to 100 students about university-industry collaboration. Results show that ICT skills and foreign language ability are the highest required conditions of employment while production and technology knowledge are the lowest. Furthermore, 50 companies operating in foreign markets responded that through industry-university cooperation, capabilities of university graduates have improved and trade education cooperation scheme is a success.