• 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.

• 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 the Korea Convergence Society
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• v.12 no.7
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• pp.221-233
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• 2021

The purpose of this study is to analyze the effects of determinants of innovation performance on innovation performance in industry-research institute(IR) cooperation for researchers of government-funded research institutes in Daedeok Innopolis. We reviewed the existing literature on the determinants of innovation performance through cooperation, and established a conceptual framework to analyze the combinatorial effect of the determinants of innovation performance on innovation performance in IR cooperation. Data for empirical analysis were collected through a questionnaire survey targeting researchers at a government-funded research institute in Daedeok Innopolis. The fuzzy-set qualitative comparative analysis (fsQCA) was used to analyze the combined effect of determinants of innovation performance. The fsQCA results show that the configuration of high motivation, high trust, high commitment and high satisfaction of researchers of government-funded research institutes improve innovation performance. On the other hand, it shows that the configuration of high motivation, high trust, low commitment and low satisfaction of the researcher improves innovation performance.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.31 no.6
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• pp.353-358
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• 2018

In this study, it is describe to an optimization analysis process for the weight reduction of the voltage converter in the electric vehicle charging systems. The optimization design is a technique that finds the optimal material distribution under a given material quantity constraint by combining the design sensitivity with the material properties and the mathematical optimization. Among the topology optimization, a lightweight design is performed by a solid isotropic material with penalization with simple formula and well-convergence. The lightweight design consists of three steps. As a first step, a finite element model for the basic design of the on-board voltage converter was constructed and static analysis was performed on the load. In the second step, the optimum shape is obtained for the lightweight by performing the topology optimization using the solid isotropic material with penalization applying the stiffness coefficient of the isotropic material to the static analysis result. As a final step, impact analysis was performed by applying a half-sinusoidal pulse shape impact load which satisfies the impact test standard of the vehicle-mounted part with respect to the optimum shape. In the topology optimization, the design domain was defined as the mounting bracket area, and the design technology was finally achieved by optimizing the mounting bracket to achieve a weight reduction of 20% over the basic design.

• Korean small business review
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• v.42 no.2
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• pp.93-115
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• 2020

Government funded research institutes (GFRIs) maintain a cooperative relationship with companies and stably provide their resources through the family company system. They are thereby implementing a demand-oriented support system that responds to the needs of the company. This study analyzed the changes in corporate financial performance depending on the participation in family company system and customized support. For this purpose, 2,229 companies registered with the KITECH during 2015-2017 composed the "Family company group", and 80 companies that participated in the customized support were selected as the "customized support group". The effect of participation on the corporate financial performance was analyzed using the PSM-DID model. The analysis verified that companies in a cooperative relationship with GFRIs had a higher sales growth rate than others. Furthermore, when these companies received additional customized support, their OI and ROE were significantly improved. The value of this study lies in that it quantitatively analyzed the cooperation performance of partner companies following a sustainable SME-GRI relationship. In addition, it provides insight into the strategic support system for SMEs by confirming the necessity of a customized support based on the relationship.