• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.524-533
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• 2021

Recently, due to the increasing necessity of developing core parts for weapons systems, the project for localization of parts for weapons systems is expanding. In order to apply the developed core parts to the domestic weapon system and advance into the overseas market, it is necessary to plan a project that reflects the technology trends in advance. This study derived trend of technology development through conducting the patent research and analysis. Also, suggested plan for applying the analysis results when project planning and selecting. As a detailed method, patents related to the 2019 year selection project were investigated. The number of patent applications by year and number of applicants from the time of the first application to the present were analyzed. And the growth stage of the technology market was derived. The comprehensive result was derieved through the portfolio analysis by arranging the parts localization technology in each area of the matrix consisting of market growth stage and the criteria for the selection of parts localization project. This research suggested the applying plan for improving project selection process. we expect the promotion of defense industry and the effective task planning.

• The Journal of Bigdata
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• v.6 no.2
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• pp.71-84
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• 2021

Since small and medium-sized enterprises fell short of the securement of technological competitiveness in the field of big data and artificial intelligence (AI) field-core technologies of the Fourth Industrial Revolution, it is important to strengthen the competitiveness of the overall industry through technology commercialization. In this study, we aimed to propose a priority related to technology transfer and commercialization for practical use of public research results. We utilized public research performance information, improving missing values of 6T classification by deep learning model with an ensemble method. Then, we conducted topic modeling to derive the converging fields of big data and AI. We classified the technology fields into four different segments in the technology portfolio based on technology activity and technology efficiency, estimating the potential of technology commercialization for those fields. We proposed a priority of technology commercialization for 10 detailed technology fields that require long-term investment. Through systematic analysis, active utilization of technology, and efficient technology transfer and commercialization can be promoted.

• Journal of the Korean Geosynthetics Society
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• v.12 no.4
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• pp.123-131
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• 2013

The patents trends registered in korea, the USA, Japan and Europe were analyzed to forecast the direction of R&D for the technology of sediment disaster. As a result of portfolio analysis, the number of patents in Korea have continued to rise, but have been placed behind the other countries. The level of technology of each country was investigated. In the survey technology and sensing technology, the Korean and USA situations were classified as a period of growth, and the Japanese situation was classified as a period of decline. In the control technology and protection technology, Korean situation was classified as a period of growth, and the Japanese situation was classified as a period of decline. As a result of analysis for a direction of R&D using blank technologies, standardization of analysis technologies for mechanism, fusion techniques between ICT and conventional techniques, development of eco-friendly materials and evaluation of structure should be developed by R&D in Korea.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.2
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• pp.195-205
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• 2022

This study aims to investigate the relationship between Corporate Venture Capital(CVC) investments and firm innovation, exploring the moderating effect of corporate ESG risk on this relationship. First, adopting the organizational learning theory, I theorize a process in which a firm's relationship with a venture through CVC investments acts as an external innovation source for learning and ultimately short-term innovation. Also, based on the discussion of the stakeholder theory, I argue that when a firm is evaluated as having high ESG risk externally, this may have a negative moderating effect that weakens the relationship between CVC investments and innovative performance. In order to verify these hypotheses, panel data analysis was performed using CVC investments data, patent application data, and ESG risk scores of US high-tech firms from 1993 to 2018. As a result of the analysis, as expected, it was found that the more the firm invests in ventures through CVC, the more the firm's innovative performance increases. In addition, the social aspect of ESG risk of a firm, related to the local community and employees, were found to weaken the association between CVC investments and innovative performance. This study expands the understanding of existing research on CVC investments as a vehicle for learning and innovation. Focusing on the importance of relationship with ventures rather than the size of CVC investments, I empirically examined that the formation of CVC relationships with ventures is directly related to the short-term innovation of investing firms. Additionally, this study contributes to the CVC literature by including stakeholders in the current discussion in addition to investing firms and portfolio ventures. Finally, this study investigated how ESG issues, which are attracting attention as playing an important role in firm activities, are related to CVC investments.