• Journal of Distribution Science
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• v.12 no.4
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• pp.65-72
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• 2014

Purpose - Because of the emphasis on the necessity of academic-industrial cooperation between companies and universities, there are various ongoing academic-industrial cooperation programs led by the government. As government actively supports such cooperation as policy,and universities vitalize new technology development, academic-industrial cooperation between companies and universities is being recognized as an important growth engine for companies the competitiveness of academic-industrial cooperation is also attracting more interest. The government has vitalized human resource fostering, practical R&D, and technology transfer to companies since 2012 by executing a "leading university fostering project for academic-industrial cooperation." Based on an organic interlink among universities, industry, and research institutes, the government also created and is promoting several models of such cooperation between companies and universities to support shared growth of industry and local universities. The purpose of academic-industrial cooperation is growth and benefit fromtechnology development, technical cooperation, and technology transfer between companies and universities. Research design, data, and methodology - As more academic-industrial cooperation efforts are ledby companies due to the limitation in technology-focused commercialization cooperation, the academic-industrial cooperation system became fragmented and it is losing the potential for future advancement. Specifically, as differences between universities grow, academic-industrial cooperation between companies and universities based on new technology from universities is finding difficulty advancing,while systematic support from companies to enhance the performance of businesses created by academic-industrial cooperation is also insufficient. Accordingly, this study established a growth model for the advancement of academic-industrial cooperation between companies and universities and suggested a plan to strengthen the competitiveness and promote the future advancementof academic-industrial cooperation between companies and universities by analyzing the current situation of such cooperation and diagnosing its issues. Results - This study explored the concept and current status of academic-industrial cooperation relationships and analyzed related issues. For such cooperative organizations to be competitive, the employment environment of professional human resources for academic-industrial cooperation should be improved and measures to secure professional resources should be taken as early as possible. Though the academic-industrial cooperation now is being led by government, there is a limitation based on business models, which require creation of profit; however, an academic-industrial cooperation model still cannot stand alone without the support of government. This study also pointed out that a having only a plan to build competitiveness of companies and universities for academic-industrial cooperation is not sufficient. Conclusions - In order to increase the competitiveness of academic-industrial cooperation, a detailed growth-sharing model for academic-industrial cooperation should be developed, and there should be more joint development processes for the advancement of such cooperation in which the need for technology development can be verified in advance. In addition, beyond focusing on technology-focused academic-industrial cooperation, a network between companies and universities searching for ideas for academic-industrial cooperation in the fields of human and social aspects should be created. A new academic-industrial model linking current cooperation between companies and universities to the local area should be built based on such academic-industrial cooperation in human and social fields.

• Cartoon and Animation Studies
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• s.17
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• pp.69-81
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• 2009

Recently, the animation industry in China is rapidly developing drawing the government and the whole society's attention. To cope with a large-scale animation market by each region, they busily seek revitalization program of animation industry and are producing lots of animations that maximized their creative ability with its own competence and breaking the existing OEM production method. Up to now, when the scale of sales related with animation in China exceeds 10 times than that in Korea, the concrete studies on current state of animation education AS the basis of development of animation industry of China and the way of academic-industrial cooperation through that education are proved to be insufficient. Therefore, this study has surveyed and analyzed the current state of animation education by directly visiting 6 local universities related with animation. Equivocally, it has also examined current state of academic-industrial cooperation in industrial field related with animation in China by directly visiting around 10 main companies related with animation in China. Through this study, it has been possible to grasp the current state and problems of academic-industrial cooperation in China and various programs of academic-industrial cooperation system that can be implemented in universities and businesses which are intended to be suggested to them as based on this analysis. The touchstone of intensive studies on academic-industrial cooperation system in China could be suggested through this study, which has been previously unsatisfactory and it is considered to be worthy of application as many preceding studies that engraft on reality of education in the country today.

• Journal of Engineering Education Research
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• v.26 no.2
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• pp.3-22
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• 2023

The purpose of universities is diversifying, such as education and research for the transfer of knowledge and technology, and training talented people with the competencies required in industrial sites. Therefore, universities are attempting various forms of industry-academic cooperation to maintain organic relations with companies and to conduct research activities, technology sharing, technology development, technology transfer, and human resources training. In particular, in the field of engineering education, various industry-academic cooperation programs such as field training, interns, and start-up support are actively developed and operated. Accordingly, the Engineering Education Innovation Research Information Center developed an online industry-academic cooperation capstone design matching platform for engineering education to enable collaboration between universities and companies nationwide. The industry-academic cooperation matching platform was developed under the theme of capstone design. Capstone design is a project-oriented and problem-based learning method that combines the knowledge and experiences acquired by the undergraduate department and designs and produces them. The subject of the Capstone design project was to solve corporate difficulties and allow companies and universities to collaborate. This study developed an online industry-academic cooperation capstone design matching platform according to analysis, design, development, evaluation, and execution procedures. This study is meaningful in that it has developed a channel through which students and companies, who are the subjects of industry-academic cooperation, can carry out projects and communicate organically through an online matching platform.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.11
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• pp.6556-6564
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• 2014

This study analyzed the relationship of socially prescribed perfectionism, academic burnout, academic stress, and academic procrastination. In addition, this study examined whether academic stress/procrastination has a mediating effect on the relationship between socially prescribed perfectionism and academic burnout. Data was collected from 283 cyber university students and analyzed using the correlation and structural equation model. The results showed that, socially prescribed perfectionism was positively correlated with academic stress and burnout, academic stress was correlated with academic procrastination and burnout, and academic procrastination was also correlated with academic burnout. Using the result of structural equation model analysis, socially prescribed perfectionism was found to enhance academic burnout through academic stress, or increase academic procrastination through academic stress, then resulted in academic burnout. This result suggested that to prevent academic burnout in a socially prescribed perfectionist, it is essential to lower their level of academic stress and prevent them from procrastination.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.12
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• pp.7160-7169
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• 2014

This study examined the relationship of academic failure tolerance, academic self-efficacy and academic achievement of nursing students. The data was obtained from August 27 to September 17. The participants were 198 students in a university in D city. The data was analyzed using descriptive statistics, Pearson correlation coefficients and multiple regression. A positive correlation was observed between all the variables. The factor that significantly affected academic achievement was academic self-efficacy, which explained 7.5% of the variances. The subdomain of the academic failure tolerance affecting academic achievement was found to be the behavior, which explained 8.0% of variances. The subdomains of academic self-efficacy affecting the academic achievement was the self-regulatory efficacy. This factor explained 15.4% of the variances. This study suggests that it is necessary to enhance the academic failure tolerance and academic self-efficacy for the learning achievement and working performance of nursing students.

• 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 the Korea Academia-Industrial cooperation Society
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• v.21 no.6
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• pp.51-61
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• 2020

Ever since the Act on the Promotion of Industrial Education and Industry-Academic Cooperation (IAC) was enacted in 2003, domestic universities have been focusing on commercialization research that can be applied to basic research industries by collaborating with industry and government agencies. Despite these efforts, the ratio of technology transfer and commercialization through IAC is low. Most technology transfer and technology commercialization studies have derived core technologies by analyzing the applied patents. First, this study collected expired patents from major domestic universities, compared quality characteristics of the expired and live patents, and finally found key patents among expired patents in order to identify companies and fields of application to which the patents can be utilized. The results of the study focus on expired university patents in terms of methodology and present a framework to identify patents capable of continuous IAC and technology transfer and match them with those in need. The results of this study are expected to contribute to increasing the efficiency of technology commercialization.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.11
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• pp.5455-5464
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• 2013

The purpose of the present study was to investigate the role of self-regulated learning and academic burnout on the relationship between regulatory focus and academic achievement. The participants of this study were 312 university students and analyses for this study was conducted by using PASW 18.0 and Amos 8.0. The major achievements were as follows; Self-regulated learning confirmed mediating variable between regulatory focus and academic burnout, and academic burnout confirmed mediating variable between self-regulated learning and academic achievement. That is, regulatory focus had some effect on academic achievement through academic burnout based on self-regulatory learning. Finally, the needs of development about the counseling and the education approaches as a special intervention was discussed, and that approaches were reflected self-regulated learning to be improved and academic burnout to be reduced. Also, limitations and implications of subsequent further study were suggested in this research.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.462-470
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• 2017

The purpose of this study is to identify the relationship among the self-directed learning ability, academic self-efficacy and academic achievement of elementary school students. The subjects of this study were 197 sixth graders. The results of this study were as follows. First, the correlations among self-directed learning ability, academic self-efficacy and academic achievement were significant. Second, among the variables of self-directed learning ability and academic self-efficacy, self-confidence, preference for task difficulty, self-understanding of learner and independent mind of learning were positively related to academic achievement. These results imply the need for measures to increase these variables of academic efficacy and self-directed learning ability in the field of education in order to improve students' academic achievement.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.3
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• pp.1148-1156
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• 2013

The purpose of this study is to investigate the relationship among self-efficacy, motivation proposed by self-determination theory and academic achievement and to confirm the relative predictive power of motivation variables in predicting 480 middle/high students' achievement. The instruments used in this study were 'Self-efficacy' and 'Self - regulation' scale. The data were analyzed with Pearson correlations and multiple regression (stepwised) analysis. The correlations among self-efficacy, self-determination motivation and academic achievement were significant. The variables among self-determination were correlated to academic achievement in middle school. Among the variables of self-determination motivation, identified regulation, Integrated regulation and intrinsic regulation were positively related to academic achievement in high school but amotivation was negatively related to academic achievement. Self-control efficacy and self-confidence were the significance predictor of academic achievement in middle school. Hard-task preference and self-control efficacy were the significance predictor of academic achievement in high school students. Introjected-regulation was the best predictor of academic achievement in middle school. Identified-regulation was the best predictor of academic achievement in high school.