• Journal of Engineering Education Research
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• v.26 no.6
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• pp.62-70
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• 2023

The purpose of this study is to derive implications for improving related policies and evaluation criteria in the future by analyzing trends of evaluation criteria for industry-university cooperation in Korea. For this purpose, five surveys on industry-university cooperation by government departments, major general university evaluations, and evaluation indicators of specialized industry-university evaluations by the Ministry of Education were analyzed. As a result, most of the evaluation criteria for domestic industry-university cooperation have been composed of quantitative indicators and have a limited character as quantitative performance management for government projects. Although the Ministry of Education's evaluation criteria for industry-university cooperation projects has gradually changed to a segmented index considering universities, industries, and regions, it needs to be supplemented for sustainability of industry-university cooperation. In order to promote sustainable industry-university cooperation in the future, it was suggested that first, it is necessary to supplementation of qualitative Indicators considering each university's characteristics, second, the composition of indicators related to reflect on demand in the process of the cooperation, and third, to build a virtuous cycle system for future operation of evaluation criteria.

• 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.

• International Journal of Knowledge Content Development & Technology
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• v.13 no.1
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• pp.101-109
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• 2023

Fifteen years have passed since the enactment of the Industrial Technology Innovation Promotion Act, which promoted industry cooperation activities for universities. Therefore, the study analyzes the relationship between the university's industrial cooperation activities and the college graduates' starting salaries and provides policy suggestions on improving the direction of university-industry cooperation. The study used nine-year panel data from Graduates Occupational Mobility Survey (GOMS) to conduct an empirical analysis and found that starting salaries of college graduates were not significantly higher if the university only participated in basic industry cooperation activities. On the other hand, when the quality of university-industry cooperation activities was higher, such as job search support, the starting salary of college graduates was higher. The findings suggest that university-industry cooperation activities must focus on qualitative performances rather than quantitative approaches.

• The Journal of Industrial Distribution & Business
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• v.9 no.3
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• pp.45-56
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• 2018

Purpose - The Korean university education system is facing innovation and change, including cooperation between industry and university, Therefore It is important to activate the industry-university cooperation. This paper aims to demonstrate the factors that activate industry-university cooperation, particularly about the voluntary participation induction by industry and researching in path dependency perspectives. Research design, data, and methodology - The subject of this research were companies that are aware of the industry-university cooperation program. This research hypothesis is derived from the literature of previous studies of industry-university cooperation, This study have constructs that was defined operationally with reference to previous studies, this research model design to figure out structural relationship among technology leadership of university, university specialization, local network strength, fixation of local economy, recognition of path dependence, participation by industry, performance of industry-university cooperation. From 2017 July. 1 to Sept. 31, questionnaire survey targeting company staff who is involving in industry-university cooperation. 257 questionnaire survey had conducted. 249 investigated data were used for empirical analysis except wrong data. This data were used for AMOS(structural equation) & Regression statistics to verify hypothesis which developed by researcher. Results - The results of this study are as follows. First, technology leadership of universities has a significant effect on voluntary participation by industry. University specialization has significant effect on voluntary participation by industry. Second, local network strength has significant effect on voluntary participation by industry. but fixation of local economy does not affect voluntary participation by industry. Third, recognition of path dependence has moderating effect between Independent(university, company characteristics) and dependent variables(voluntary participation by industry) When recognition level of path dependence is high, preceding factors have a significant effect on voluntary participation by industry than recognition level of path dependence is low. As a result, the degree of recognition of path dependence was shown important variables that induce voluntary participation of industry for industry-university cooperation program. Conclusions - This study suggests that voluntary participation of industry is a very important factor in the achievement of industry-university cooperation. Recognition of interdependence as well as leading factors that encourage voluntary participation of industry is also just as important. If recognition of path dependence was high, Industry's voluntary participation was high.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.1
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• pp.82-92
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• 2020

This study attempts to explore the activities and performance of industry-academic cooperation with the perspective of the firm that has not been systematically addressed in the previous research. To do this, a survey of university family companies across the country was conducted to draw factors that influence the competencies of firms and universities on the performance of industry-academic cooperation and to compare differences by region. The main results of the study are as follows. First, it was found that the knowledge and technologies that universities retain and the active participation of companies in the activities of university-academic cooperation were the most important contributors to the corporate achievements in industry-academic cooperation. Second, when divided into the Seoul metropolitan area and non-capital area, it was found that there was a difference in the capabilities and performance of industry-academic cooperation between the two regions. Third, it was found that there were significant differences in the capabilities and performance of industry-academic cooperation in five areas. These findings suggest that industry-academic cooperation projects specialized for each region is necessary to enhance the effectiveness of industry-academic cooperation.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.3
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• pp.145-164
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• 2022

In this study, factors necessary for successful industry-university cooperation of SMEs(small and medium-sized enterprises) were identified. The structure of the TOE (Technology, Organization, Environment) framework was considered for a company's industry-university cooperation preparation capacity, and open innovation collaboration and resilience were utilized as a mediating effect between industry-university cooperation preparation capacity and corporate performance. This study verified the model through a structured questionnaire targeting 204 SMEs with industry-university cooperation experience. As a result, it was confirmed that it was important for companies to make diversified efforts by accommodating industry-university cooperation to obtain results from industry-university cooperation.

• The Journal of Korean Institute for Practical Engineering Education
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• v.3 no.1
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• pp.119-126
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• 2011

This study analyzed the effect of the competency factors (resources and education competency)on the performance of university-industry cooperation by characteristic of universities through multiple regression model using 202 datasets empirically. The input factors variables used in a research model were characteristics of universities (research oriented/education-oriented universities and public/private universities) and competency factors (resource competency and education competency) of university-industry cooperation. The performance factors of university-industry cooperation were composed of the outcomes of intellectual knowledge asset, technology transfer, spin-off and financial profits. The empirical results show that research-oriented universities and public universities produce a uniter performance of university-industry cooperation than education-oriented universities and private universities, respectively and the competency factors of university-industry cooperation such as resource and education competency also have a positive effect on the performance of university-industry cooperation.

• Journal of the Korea Safety Management & Science
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• v.23 no.2
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• pp.45-52
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• 2021

Recently Korea and China's logistics industry developed rapidly. Because two countries' industry have complementarity, there are broad basis and area for cooperation between China and Korea. This study compares and analyzes the logistics development trends and competitiveness of two countries, and suggests mutual win-win logistics cooperation between the two countries based on macro cooperation of government and micro cooperation of enterprises. This is important for the two countries to participate in the global supply chain system, promote regional cooperation in Northeast Asia, and enhance the efficiency and competitiveness of the logistics industry.

• Management & Information Systems Review
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• v.38 no.2
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• pp.119-137
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• 2019

This paper analyzes the factors affecting the relationship characteristics of firms and public research institutes, in-addition to analyzing the effect of relationship characteristics with the industry-public research institute cooperation. We selected factors influencing relationship characteristics of firms and public research institutes based on the study of existing industry-university-institute cooperation. These factors include the willingness of the industry-public research institute cooperation, firm's R&D capabilities, and the firm's perceived public research institutes competence. The relationship between these factors, their relationship characteristics, and the performance of the industry-public research institute cooperation was studied using six hypotheses. In order to test this research model, we conducted a survey on industry-public research institute cooperation firms and received responses from 116 companies. Partial Least Square-Multi Group Analysis (PLS-MGA) was used to test the research model. The results of the empirical analysis show the following results. First, the willingness of the industry-public research institute cooperation, firm's R&D capabilities and firm's perceived public research institutes competence have a positive impact on the relationship characteristics of firms and public research institutes. Second, the relationship characteristics of firms and public research institutes have a positive impact on firm performance in the industry-public research institute cooperation. Third, firm's R&D capabilities and firm's perceived public research institutes competence directly affect firm performance in the industry-public research institute cooperation. These results provide policy and practical implications for enhancing firm performance of the industry-public research institute cooperation.

• 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.