• Proceedings of the Korean Society of Organic Agriculture Conference
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• 2009.12a
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• pp.141-154
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• 2009

• Journal of the Korea Society of Computer and Information
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• v.24 no.6
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• pp.45-55
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• 2019

The purposes of this paper is to draw a conclusion on the impact of the characteristics of economic cooperation between china and south korea on customer value and enterprise performance in the korean electronics industry. In this paper, product reliability and product innovation are especially used as analytical factors, and this paper used a survey of 293 internal employees working in the electronics industry for analyze, and structural equation model(SEM) was used to analyze the data. The results of the research analysis are summarized as follows. First, it was found that the characteristic of economic cooperation in the research model has a significant effect on the product reliability. Second, it was found that the characteristics of economic cooperation have a significant effect on the products innovation. Third, the products reliability has a significant impact on customer value, while the products innovation has not affected customer value. Finally, it was found that the customer value of the korean electronics industry also has a significant impact on the Enterprise performance. As a good development alternative to this research, there is the ultimate goal of hoping that corporate managers will help to create new good values. To this end, we hope it will be helpful as we have made necessary suggestions to establish the desired direction of the Korean electronics industry operator.

• 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.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.2
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• pp.187-200
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• 2014

Industry Cooperation is not the choice of national development but the inevitable component in the world. Industry cooperation results of the reconstruction of the country is an important place as an essential element of the economic development of the national policy in the major economies. Despite several changes in the international economic environment, United States, Canada, Finland, Sweden, Israel settled and maintaining the sustainable development of the countries which successfully established Industry-University Cooperation or Industry-Acaemy Cooperation system in history. In this study, delivered to the realistic ways of Industry cooperation through comparison study on domestic and international cooperation programs. The new activation programs of industry academic cooperation are delivered, that is, The bonus payments system of technology development patent and free technology transfer for joint development, bonus points system and evaluation indicators for joint capacity building program which participate student, industry and academic sector, step-by-step training. system for total employment and entrepreneurship at the same time strengthening management training programs and education opportunity gives to the benefits for the community members. Finally, Intellectual property expert matching program which develops basis of technology trader and expert maps in the smallest unit by administrative area. practice the internet information search services in national wide network for this matching program and government office dedicated to staffing for technology transfer.

• Archives of design research
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• v.12 no.3
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• pp.215-224
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• 1999

In the recent era of diversity and grobal competition, it is very important to notice that we need a new paradigm, where and should cooperate with each other. In particular, for the area of furniture, industry must strategically adopt a new design in order to improve product's competition, and also university as an education institute ought to provide with good designers for development of furniture. For this purpose, it is essential for and (University> to cooperate with each other in all areas, and it is necessary to maximize the activity in This cooperation is again emphasized in the view that design without production or production without design is nonsense. We have to go beyond and escape from narrow concept of education in only university and production in only industry. It is required for all of us to have the common consensus that what we have to do now for our future is to construct the system of cooperation between and

• 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.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.9-19
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• 2015

In this paper we investigate relation between participation and satisfaction of industry-university co-program with the view of evaluating performance of industry-university cooperation. The importance rank and satisfaction of university-industry co-programs have statistically positive correlation. In regression model, the number of participating co-programs affects the general satisfaction positively. These results implement that the companies have interest in 'industry-university cooperation forum' in initial stage of industry university cooperation, and take part in 'technology co-development program' and gradually enhance availability of other co-programs.

• 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.

• Management & Information Systems Review
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• v.37 no.3
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• pp.147-171
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• 2018

The purpose of this study is to analyze the factors affecting cooperation between industry and public research institutes, in addition to the effects of cooperation between them; on technological and economic performance of firms. Based on existing research relating to the factors affecting industry-university-research institutes cooperation and the relationship between them and firm performance, this study selected the competence of government-funded research institutes, R&D capabilities and organizational characteristics of firms, and support of government and local governments; as factors influencing cooperation between industry and public research institutes. This study sets seven hypotheses on the relationship between the factors promoting industry-public research institute cooperation, technological performance and economic performance. A questionnaire survey was used to collect data for hypothesis testing and 116 questionnaires were completed and used in this research. The PLS-MGA was used as a method for hypothesis testing. In the analysis results, we found that the competence of government-funded research institutes, organizational characteristics of firms, and the support of government and local governments have a positive impact on cooperation between industry and public research institutes. We also found that the collaboration between industry and public research institutes, positively affects firms' technological performance. In addition, we found that the technological performance of a firm, positively affects a firms' economic performance. On the other hand, firms' R&D capabilities have no significant effect on cooperation between industry and public research institutes, and industry-public research institute cooperation does not directly affect the economic performance of firms.

• Journal of Technology Innovation
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• v.31 no.1
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• pp.175-213
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• 2023

As the importance of industry-university cooperation continues to increase in a knowledge-based society, the government is implementing various projects related to industry-university cooperation. However, despite the government's support, it has not achieved satisfactory results, and the need for empirical performance analysis to diffuse the results of industry-university cooperation is increasing. In this study, DEA was used to analyze the Industry-University cooperation performance of universities participating in LINC+ program. Efficiency analysis was performed using the CCR model and the BCC model, and the return to scale and causes of inefficiency were analyzed through the scale efficiency analysis. As a result of the analysis, it was found that there were differences in LINC+ performance depending on the region where the university is located and that each university had different goals for inefficiency improvement. The results of this study will contribute to improving the university's operational efficiency and strengthening competitiveness, and are expected to be utilized in the establishment of follow-up program plans for LINC+.