• Journal of Korea Technology Innovation Society
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• v.19 no.2
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• pp.254-279
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• 2016

Recently, with the conversion towards knowledge-based economy era, the importance of the evaluation for patent valuation has been growing rapidly because technology transactions are increasing with the purpose of practically utilizing R&D outcomes such as technology commercialization and technology transfer. Nevertheless, there is a lack of research on determinants of patent valuation by analyzing technology transactions due to the difficulty of collecting data in practice. Hence, to suggest quantitative determinants for the patent valuation which could be applied to scoring methods, 15 patent valuation models domestically and overseas are analysed in order to assure the objectiveness for subjective results from qualitative methods such as expert surveys, comparison assessment, etc. Through this analysis, the important 6 common determinants are drawn and patent information is matched which can be used as proxy variables of individual determinant factors by advanced researches. In addition, to validate whether the model proposed has a statistically meaningful effect, total 517 technology transactions are collected from both public and private technology transaction offices and analysed by multiple regression analysis, which led to significant patent determinant factors in deciding its value. As a result, it is herein presented that patent connectivity(number of literature cited) and commercialization stage in market influence significantly on patent valuation. The meaning of this study is in that it suggests the significant quantitative determinants of patent valuation based on the technology transactions data in practice, and if research results by industry are systematically verified through seamless collection of transaction data and their monitoring, we would propose the customized patent valuation model by industry which is applicable for both strategic planning of patent registration and achievement assessment of research projects (with representative patents).

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.05a
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• pp.43-65
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• 2017

UN 산하 국제해사기구(IMO)는 2020년 국제적인 시행을 목표로 e-내비게이션 분야의 국제기술표준 개발을 추진 중에 있다. e-내비게이션은 차세대 해양안전 종합관리시스템으로서 각종 해상 운항정보를 디지털화 해 선박 운항자에게 실시간 맞춤형 정보를 제공해 준다. 해수부는 2020년 이후 약 1,000조원의 시장이 열릴 것으로 내다보고 있으며, 진입 장벽이 높은 해양 장비 시장에 우리나라도 ICT 강점을 바탕으로 주도권을 잡기 위해 노력중이다. 이를 위하여 한국과 미국의 e-내비게이션 분야의 핵심기술 중심으로 기술분야별 특허동향, 기술시장 성장 단계, 국가간 기술경쟁력, 그리고 특허 Key Player별 보유 특허 포트폴리오, 피인용 분석을 통한 경쟁력, 특허 거래 및 소송 분석을 통하여 양 국가의 기술개발 동향을 파악하고자 한다.

• Journal of Technology Innovation
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• v.22 no.2
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• pp.221-245
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• 2014

In the era of fierce global competition and short product life cycle, firms have been interested in the technology valuation to improve their competitiveness. As the technology valuation may become a key issue for countries and industries, the development of technology valuation method has become increasingly important. Thus, this study aims to suggest a novel method to assess technology value by applying conjoint analysis to bibilographic information of patent. For this purpose, we firstly identified nine patent indexes categorized in three attributes - technological superiority, marketability and legal rights. Then, we collected actual data on patent transactions including their patent attributes and market prices. Based on the data, we could obtain the patent index values. Finally, we applied conjoint analysis to the prices and patent index values as a basis for technology valuation. The suggested method is expected to be an effective tool for technology valuation by using real transaction data rather than relying heavily on experts assessment.

• Environmental and Resource Economics Review
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• v.22 no.1
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• pp.53-76
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• 2013

This paper analyzed on the relationship between R&D productivity of renewable energy and the Emissions Trading Scheme using OECD's country-specific patents and R & D input data. We empirically tested whether this R & D productivity has been substantially improved before and after the implementation of the emissions trading scheme and whether emission trading scheme has been promoted technology progress of renewable energy. Analytical methods used in this study, Negative Binomial Models which was proposed by Hausman et al. (1984). According to the results of this analysis, the R & D productivity of renewable energy was improved by emissions trading scheme, which was statistically significant at the 99% confidence interval [CI]. The R&D productivity of renewable energy was higher in Annex I countries. This research is significant in that R&D productivity was analyzed in associated with the emission trading scheme rather than it was analyzed by simply comparing R&D productivity.

• Venture DIGEST
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• s.16
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• pp.9-9
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• 2003

• 발명특허
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• v.34 no.9
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• pp.54-55
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• 2009

• 발명특허
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• v.11 no.3 s.121
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• pp.44-48
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• 1986

• 발명특허
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• v.30 no.4 s.346
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• pp.36-39
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• 2005

• 발명특허
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• v.11 no.2 s.120
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• pp.50-55
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• 1986

• 발명특허
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• v.11 no.4 s.122
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• pp.46-51
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• 1986