• Clean Technology
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• v.8 no.4
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• pp.193-198
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• 2002

In a knowledge-based information society, the technology in itself is one of the most valuable information and in common use as assets. Assessment of a technology depends on many factors such as the grade of technology, marketability, and the time of evaluation, which makes it much more difficult to perform than the other tangible properties. Ultimately, it should be extremely important to consider environmental aspect for technology assessment in order to cope voluntarily with the change of uncertain future toward highly reliable evaluation.

• Journal of Intelligence and Information Systems
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• v.23 no.1
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• pp.23-46
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• 2017

Although there have been cases of evaluating the value of specific companies or projects which have centralized on developed countries in North America and Europe from the early 2000s, the system and methodology for estimating the economic value of individual technologies or patents has been activated on and on. Of course, there exist several online systems that qualitatively evaluate the technology's grade or the patent rating of the technology to be evaluated, as in 'KTRS' of the KIBO and 'SMART 3.1' of the Korea Invention Promotion Association. However, a web-based technology valuation system, referred to as 'STAR-Value system' that calculates the quantitative values of the subject technology for various purposes such as business feasibility analysis, investment attraction, tax/litigation, etc., has been officially opened and recently spreading. In this study, we introduce the type of methodology and evaluation model, reference information supporting these theories, and how database associated are utilized, focusing various modules and frameworks embedded in STAR-Value system. In particular, there are six valuation methods, including the discounted cash flow method (DCF), which is a representative one based on the income approach that anticipates future economic income to be valued at present, and the relief-from-royalty method, which calculates the present value of royalties' where we consider the contribution of the subject technology towards the business value created as the royalty rate. We look at how models and related support information (technology life, corporate (business) financial information, discount rate, industrial technology factors, etc.) can be used and linked in a intelligent manner. Based on the classification of information such as International Patent Classification (IPC) or Korea Standard Industry Classification (KSIC) for technology to be evaluated, the STAR-Value system automatically returns meta data such as technology cycle time (TCT), sales growth rate and profitability data of similar company or industry sector, weighted average cost of capital (WACC), indices of industrial technology factors, etc., and apply adjustment factors to them, so that the result of technology value calculation has high reliability and objectivity. Furthermore, if the information on the potential market size of the target technology and the market share of the commercialization subject refers to data-driven information, or if the estimated value range of similar technologies by industry sector is provided from the evaluation cases which are already completed and accumulated in database, the STAR-Value is anticipated that it will enable to present highly accurate value range in real time by intelligently linking various support modules. Including the explanation of the various valuation models and relevant primary variables as presented in this paper, the STAR-Value system intends to utilize more systematically and in a data-driven way by supporting the optimal model selection guideline module, intelligent technology value range reasoning module, and similar company selection based market share prediction module, etc. In addition, the research on the development and intelligence of the web-based STAR-Value system is significant in that it widely spread the web-based system that can be used in the validation and application to practices of the theoretical feasibility of the technology valuation field, and it is expected that it could be utilized in various fields of technology commercialization.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.81-87
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• 2014

In this study, along with the expansion of the national R&D projects, by analyzing the case of K research center of Land and Transport R&D projects, and was evaluated in the value of technology. The evaluation of the value of technology, were analyzed using the SMART3 targeting patents K research center indicate best technical aspects have registered. Analysis technical value of research center K, was found to have maintained the same level as the average of about of Land and Transport R&D projects. The significance of this study is that it was approached by more concrete approach of valuation of technology principle of national R&D projects. We expect that the study of evaluation method and diverse objective to achieve the intended purpose of the national R&D projects are carried out more.

• Venture DIGEST
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• s.67
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• pp.14-15
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• 2005

정부의 벤처 활성화 대책에 발맞춰 최근 산업은행은‘기업금융 활성화를 위한 기술평가제도(2호)’를 발표하였다. 보고서에 따르면‘기술이전촉진법’과‘벤처특별법’등 기술거래를 위한 기술가치평가의 근거가 마련되어있지만, 미래가치 평가를 위한 평가시스템과 전문기관 및 인력이 필요하다고 지적하였다. 또, 벤처 활성화를 위해 기술평가의 표준화 추진과 평가모델 신뢰성을 제고하는 한편 정부차원의 적극적인 지원방안을 수립해 기업금융을 연계할 필요가 있다고 주장하였다. 다음은 산업은행의 보고서를 정리한 글이다.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.48-58
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• 2021

For securing technology and business competences of companies that is the engine of domestic industrial growth, government-supported policy programs for the creation of commercialization results in various forms such as 『Technology Transaction Market Vitalization』 and 『Technology Finance-based R&D Commercialization Support』 have been carried out since 2014. So far, various studies on technology valuation theories and evaluation variables have been formalized by experts from various fields, and have been utilized in the field of technology commercialization. However, Their practicality has been questioned due to the existing constraint that valuation results are assessed lower than the expectation in the evaluation sector. Even considering that the evaluation results may differ depending on factors such as the corporate situation and investment environment, it is necessary to establish a reference infrastructure to secure the objectivity and reliability of the technology valuation results. In this study, we investigate the evaluation infrastructure built by each institution and examine whether the latest artificial neural networks and deep learning technologies are applicable for performing predictive simulation of technology values based on principal variables, and predicting sales estimates and qualitative evaluation scores in order to embed onto the technology valuation system.

• CDE review
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• v.5 no.3
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• pp.39-41
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• 1999

우리 기술신용보증기금은 중소·벤처기업의 기술개발을 촉진하여 우량기업으로 성장·발전할 수 있도록 기술평가를 통한 신용보증 등 각종 지원사업을 수행하고 있다. 특히 각종법률에 의한 기술가치평가기관으로 지정되어 전국 7개 지역에 기술평가센터를 운영하고 있으며 동 센터에서는 기업이 보유하고 있는 기술에 대한 기술가치 및 사업성평가등 기술력 평가업무를 전문적으로 수행하고 있다. 최근 중소기업청, 정보통신부등의 중앙부터와 경기도등의 지방자치단테에서 추진하고 있는 중소기업 및 벤처창업 지원 관련한 우리기금의 업무 및 고유업무를 간략히 소개하고자 한다.

• Journal of the military operations research society of Korea
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• v.33 no.2
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• pp.75-86
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• 2007

This paper presents the overall valuation framework of the Army Tactical Command Information System(ATCIS) with its empirical data which is developed by the ROK Army in 2005 with its own R&D efforts over the past 10 years. The valuation with the appropriate methods is conducted through the full and relentless support of ROK Army HQs, defense agencies, and related firms. And the results include both qualitative and quantitative values of the ATCIS in perspectives of economic, technical, and defense strength effects. As a result, the development of ATCIS is valued over 1.7291 trillion Won which is over 6.55 times benefit and cost ratio comparing with other country's similar system. The worth of this paper includes the actual framework and methods to apply the valuation of other weapon systems and its preliminary research, defense offset valuation, performance evaluation and others.

• 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 Information Processing Society Conference
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• 2012.04a
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• pp.1369-1372
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• 2012

공공시설 자산관리는 새로운 시설물 유지보수 개념으로 유지관리체계를 넘어 자산의 가치를 높이는 관리체계이다. 이 연구의 목적은 도로 및 교량 같은 공공시설에 자산관리체계를 지원하는 정보시스템을 구축하는데 필수적인 자산의 가치와 가치비용을 평가하는 방법을 개발하는 것이다. 따라서 자산가치를 자산평가 척도인 LoS(Level of Service)를 바탕으로 금전적인 값어치로 공학적 관점에서 계산하는 이론적 방법을 연구하였다. 가치개념을 정립하기 위해 성능은 LoS를 적용하였고, 비용은 유지관리를 위한 직접 투입비용을 적용하였다. 연구목적상 기존 연구결과인 자산비용과 가치비용의 개념을 적용하였으며 합리적인 시설물의 가치비용을 추정하기 위해 추가적으로 자산의 규모, 시설물의 현재 상태, 투입예산의 효과, 시설물의 중요도를 고려하도록 제안하였다. 제안한 자산비용을 바탕으로 하는 가치비용이 최대가 되는 유지관리대안을 선정한다면 최적의 시나리오가 될 것이다.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.113-132
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• 2021

This study is a new evaluation using the Arrhenius equation, which is known as the chemical reaction rate estimation equation, to evaluate the intrinsic and extrinsic value elements of patents as a model. The performance of the evaluation model was superior to the SVM, Logistic reg. and ANN models that were used as patent evaluation models in prior studies. In addition, there was a strong correlation between the predicted lifespan of the patent and the actual lifespan of the patent. These evaluation models may be used for evaluation purposes only, or if an evaluation is required, including a commercialization entity or technical characteristics.