• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.211-219
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• 2014

This paper studies the technology management strategy for activating the industry-academia cooperation in open innovation environment. For this, the importance and concept of technology management balancing the internal innovation and utilization of external innovation resources, and industry-academia cooperation were theoretically reviewed. For the successful technology management in open innovation environment firms should adopt the industry-academia cooperation strategy. The technology management strategy for activating the industry-academia cooperation of the firm can be summarized as follows; Firstly, technology strategy for academia-industry cooperation utilizing the strategic technology roadmap should be prepared and executed. Secondly, the firm should adopt the open innovation system and transform their NIH(Not-Invented-Here) culture for open culture. Finally, for activating the networking with various innovation actors, industry-academia cooperation supporting system should be prepared.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.520-527
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• 2019

In this study, the technical level and competence of Chungbuk region manufactures were diagnosed and implications for efficiency improvement of cooperation with local universities were derived. The results are as follow. First, in Chungbuk area, 75% of the skilled workers are medium-skilled and high skilled workers. And the life cycle of production products was found to have entered middle/old age. In addition, the industries were overestimating its technology capabilities, including marketing and sales technology, and management technology. Therefore, local universities should develop differentiated program such as technology transfer and commercialization support so that companies can nurture new industries and it is necessary to improve understanding of reality and future prediction ability through various education and seminars. Second, universities in Chungbuk province have failed to meet the practical demands of industry by providing general educational programs such as lifelong education curriculum, rather than the practical training required by industry. First of all, industries needed the practical training programs such as human resource empowerment, technical education and workers' retraining for local industry development. In addition, industries were expected to provide relevant knowledge and infrastructure such as testing, analysis, participation in technology development such as commissioning and joint research. Therefore, universities should prepare customized Industry-Academia Cooperation Programs through industry demand survey in planning. Also, it is necessary to establish various connection points with industry to ensure that industry-academia cooperation will continue and achieve results. Third, the technology of the industries in Chungbuk province was found to be very unrelated to the next generation regional strategic industries. This is not shared vision between industry and local government, Industry-Academia Cooperation Programs will serve as a platform to organize various community entities. Universities will be able to play a key role in between industries and local governments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.57-65
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• 2016

Academia-industrial cooperation policy is essential to enhance national competitiveness in Korea. Although government and academia have invested in policies and supported industries, academia-industrial cooperation is not operated actively. This is one of the reasons why industrial demand for cooperation has continuously decreased. There are thoughts that universities' outcomes are larger than colleges' outcomes in academia-industrial cooperation, which could be a barrier to academia-industrial cooperation for colleges. It is important to understand industry demands in order to activate this type of cooperation. We propose a way to achieve this based on survey data for 3D printing and college graduates. Interactive cooperation among industries, colleges, and universities is suggested in the process of technical commercialization, such as TRL (Technology Readiness Level).

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.4
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• pp.2023-2028
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• 2014

The main purpose of this study is to explore the factors related to the performance of industry-university cooperation and determine methods for improving activation of industry-university cooperation. The data was collected by questionnaire survey mailed to the participating researcher and university professors which executed the university-industry cooperation projects. We determined cronbach Alpha Coefficient, pearson's correlation coefficient and multiple regression analysis. According to multiple regression analysis, reflect of mutual needs and local industry construction have statistically significant relationships with general satisfaction of university. Knowledge and working ability of industry-university cooperation, activeness of industry-university cooperation activity, Local economy scale and local industry construction have statistically significant relationships with general satisfaction of industry. In relation continuity, activeness of industry-university cooperation activity and information exchange have statistically significant relationships with relation continuity of university. Knowledge and working ability of industry-university cooperation and activeness of industry-university cooperation activity have statistically significant relationships with relation continuity of industry. In outcome utilization, knowledge and working ability of industry-university cooperation, research establishment and apparatus have statistically significant relationships with outcome utlization of university. In conclusion, capability factors, cooperative factors, political factors and external environment factors affected industry-universiry cooperation. Knowledge and working ability of industry-university cooperation will be able to upgrade on general satisfaction, relation continuity and outcome utilization.

• Journal of Digital Convergence
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• v.17 no.12
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• pp.77-82
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• 2019

In this paper, we propose a new industry - university collaboration plan through the analysis of the present state of industry-academia cooperation and government support projects, and analysis of major overseas cases. The following is the plan for activating the new crop cooperation. First, it is necessary to strengthen the innovation of education system and establishment of new education course based on future demand through future-oriented industry-university cooperation. Second, active industry-academia cooperation should stimulate entrepreneurship education and entrepreneurship based on university resources. Third, it should act as an anchor of regional innovation by actively cooperating with local innovation entities. It is necessary to develop an industry-university cooperation model that can generate profits and contribute to university finance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.6 no.6
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• pp.461-467
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• 2005

The role of university is expanded from the human resource provider to demand site. The mission is also changed as a entrepreneurs. There is increasing in the needs of the university and industry cooperation(UIC), but cultural difference also happened. To successfully cooperation, we have to consider stakeholder's perspective and the size of companies and universities. Through the best c luster of innovation, we can figure out the key success factors of the universities, researchers, and leaders, and suggest the new characters for successful UIC.

• 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 Korea Academia-Industrial cooperation Society
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• v.18 no.7
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• pp.175-183
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• 2017

In this study, the LINC project is finished and a new LINC+ has begun. For the settlement of mutual cooperation in universities and corporations, the main agenda of LINC+ project, this research attempts to find factors that are important to industries rather than the measurement of performance closely related to universities. From the companies' perspective, it is not easy to measure how much they are benefiting from mutual cooperation, although there are quantitative performance determinants such as sales, employment and export growth. Therefore, while estimating the satisfaction of industrial-educational cooperation and simultaneously estimating the satisfaction's effect to the development of companies, we try to estimate the contribution of satisfaction towards company development through subjective indicators. Through these efforts, we will raise the credibility of government policies through the cultivation of talented individuals who are customized to the industry through the cultivation of "Industry-Leading Universities" that we intend to pursue through the implementation of LINC+ business, and small and medium enterprises. Innovative support and the cooperation of industry-universities will increase job creation and ensure consistent industry. We will contribute to the mutual development of universities and industries.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.8
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• pp.3656-3664
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• 2013

The purpose of this study is to help each university for valid performance evaluation and quality control of the Industry-University Cooperation Concentration Professor(IUCCP) through the development of the performance evaluation model of industry-university cooperation concentration professor. To achieve this purpose, researchers were collected and analysis data about the management regulations of IUCCP of 57 university include 51 LINC selected by Ministry of Education and Science-Technology in 2012. Through this process, define the concept of IUCCP and clear a qualification criterion, types and role the each types of IUCCP, and developed the model on performance evaluation of industry-university cooperation concentration professor constructed 4 dimensions consists with evaluation area, evaluation element, evaluation indices, and scoring unit.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2514-2519
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• 2012

The policy objective of leading industries for an economic region is to increase industrial competitiveness by regional cooperation and linkage and so the economic impact analysis of R&D by region is required. This research utilizes regional input-output tables of the Bank of Korea to analyze the economic impact of 'next-generation wireless communication devices' project in 'New IT' sector of Chungcheong economic region.