• Title/Summary/Keyword: R&D valuation

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Development of Systematic Process for Estimating Commercialization Duration and Cost of R&D Performance (기술가치 평가를 위한 기술사업화 기간 및 비용 추정체계 개발)

  • Jun, Seoung-Pyo;Choi, Daeheon;Park, Hyun-Woo;Seo, Bong-Goon;Park, Do-Hyung
    • Journal of Intelligence and Information Systems
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    • v.23 no.2
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    • pp.139-160
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    • 2017
  • Technology commercialization creates effective economic value by linking the company's R & D processes and outputs to the market. This technology commercialization is important in that a company can retain and maintain a sustained competitive advantage. In order for a specific technology to be commercialized, it goes through the stage of technical planning, technology research and development, and commercialization. This process involves a lot of time and money. Therefore, the duration and cost of technology commercialization are important decision information for determining the market entry strategy. In addition, it is more important information for a technology investor to rationally evaluate the technology value. In this way, it is very important to scientifically estimate the duration and cost of the technology commercialization. However, research on technology commercialization is insufficient and related methodology are lacking. In this study, we propose an evaluation model that can estimate the duration and cost of R & D technology commercialization for small and medium-sized enterprises. To accomplish this, this study collected the public data of the National Science & Technology Information Service (NTIS) and the survey data provided by the Small and Medium Business Administration. Also this study will develop the estimation model of commercialization duration and cost of R&D performance on using these data based on the market approach, one of the technology valuation methods. Specifically, this study defined the process of commercialization as consisting of development planning, development progress, and commercialization. We collected the data from the NTIS database and the survey of SMEs technical statistics of the Small and Medium Business Administration. We derived the key variables such as stage-wise R&D costs and duration, the factors of the technology itself, the factors of the technology development, and the environmental factors. At first, given data, we estimates the costs and duration in each technology readiness level (basic research, applied research, development research, prototype production, commercialization), for each industry classification. Then, we developed and verified the research model of each industry classification. The results of this study can be summarized as follows. Firstly, it is reflected in the technology valuation model and can be used to estimate the objective economic value of technology. The duration and the cost from the technology development stage to the commercialization stage is a critical factor that has a great influence on the amount of money to discount the future sales from the technology. The results of this study can contribute to more reliable technology valuation because it estimates the commercialization duration and cost scientifically based on past data. Secondly, we have verified models of various fields such as statistical model and data mining model. The statistical model helps us to find the important factors to estimate the duration and cost of technology Commercialization, and the data mining model gives us the rules or algorithms to be applied to an advanced technology valuation system. Finally, this study reaffirms the importance of commercialization costs and durations, which has not been actively studied in previous studies. The results confirm the significant factors to affect the commercialization costs and duration, furthermore the factors are different depending on industry classification. Practically, the results of this study can be reflected in the technology valuation system, which can be provided by national research institutes and R & D staff to provide sophisticated technology valuation. The relevant logic or algorithm of the research result can be implemented independently so that it can be directly reflected in the system, so researchers can use it practically immediately. In conclusion, the results of this study can be a great contribution not only to the theoretical contributions but also to the practical ones.

t-LINKED OVERRINGS OF A NOETHERIAN DOMAIN

  • Chang, Gyu-Whan
    • Korean Journal of Mathematics
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    • v.7 no.2
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    • pp.167-169
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    • 1999
  • Let R be a Noetherian domain. It is proved that $t$-dimR = 1 if and only if each (proper if R is not a valuation domain) $t$-linked overring D of R is of $t$-dimD = 1 if and only if each integrally closed $t$-linked overring of R is a Krull domain.

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Development of the DEA Model for Measuring R&D Efficiency (R&D 능률성 측정 DEA모형의 개발)

  • Cho, Jeong-Sik;Ahn, Ki-Hyun;Kang, Ii-Jung;Kwon, Cheol-Shin
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2007.11a
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    • pp.141-144
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    • 2007
  • This research aims to propose model for measuring the efficiency of R&D organizations by using Data Envelopment Analysis. In existing research about using Data Envelopment Analysis, the types of R&D organizations have not been clarified and the difference between analysis time from measurement time is usually $4{\sim}5$ years. This research divides R&D organizations into three types and provides proper methods for measuring the efficiency of each R&D organizations.

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The Role of Intangible Assets on the Valuation of IPO shares (신규공모주의 가치평가와 무형자산의 역할)

  • Choi, Mun-Soo
    • The Korean Journal of Financial Management
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    • v.20 no.1
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    • pp.1-27
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    • 2003
  • The purpose of this study is to empirically investigate the role of capitalized intangibles such as patents, copy rights and R&D and non-capitalized intangibles such as advertising expenses and labor-related expenses, which are considered to be important to generating future excess profits, on the valuation of IPO shares. This study examines 125 firms which went public during 1992 - 1998. The result suggests that advertising expenses do not have significant influence on the offer price and the market price of IPO shares. On the other hand, R&D and labor-related expenses play important role in determining the offer price and the market price of IPO shares. In case of capitalized intangible assets, they we important factors in determining the market price but not the of for price. This study suspects that the Securities and Exchange Law of the Korean Securities Exchange Commission potentially contribute to the result of no effect of capitalized intangibles (except R&D) on the offer price by underwriters. According to the Law, any intangible assets which are considered to be irrelevant to the valuation of IPO shares must be exclued. This is very ambiguous and potentially cause underwriters to exclude any intangibles difficult to measure their value. However the market considers capitalized intangibles to be important, as suggested by the result of this study. To reduce this valuation asymmetry, it is important to reveal detailed information regarding the valuation of assets, in particular, intangible assets to the public.

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Real Options and Strategic Decision Analysis (실물 옵션과 전략적 의사 결정)

  • Kim, Ki-Hong;Oh, Hyung-Sik
    • Journal of Korean Institute of Industrial Engineers
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    • v.33 no.2
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    • pp.221-226
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    • 2007
  • This paper suggests a valuation framework of investment project using the concept of real options. We show the valuation process of real assets using the risk-neutral pricing. Especially, we focus on the investment lag. Real assets have investment lag in general. The decision time and the payment time are not identical. So the investment lag should be considered when valuing real assets for reality. We provide the valuation process for real assets, including R&D project. The results of this paper can be used for the real assets valuation and strategic decision analysis.

Design of Valuation Model & Valuation Item for R&BD activation of National R&D Program (국가연구개발사업의 R&BD 활성화를 위한 평가항목 및 평가모델 설계)

  • An, Jeong-Eun;Kim, Ju-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.05a
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    • pp.439-442
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    • 2008
  • 국가연구개발사업은 국가연구개발사업의 관리 등에 대한 규정 제17조에 의거하여 연구개발결과를 활용하는데 그 목적을 가진다. 그러나, 사실상 최근 국가연구개발사업을 통해 개발된 연구기술들은 특허 등의 라이선스를 획득하고 기술이전을 통해 사업화로 이어지는 사례가 매우 미미하다. 실제로 2005년 산업자원부의 조사에 따르면, 국가연구개발사업의 사업화 성공률은 평균 31.4%로 선진국의 1/2에도 못 미치는 수준이다. 따라서, 본 논문에서는 국가연구개발사업의 예산 대비 기술이전 및 확산을 통한 기술사업화 성공률을 높이기 위한 하나의 방법으로, 연구과제 평가 시 기술의 가치를 평가하여 그 평가결과를 예산배분에 반영 할 수 있도록 기술가치평가방법을 활용한 R&BD(Research &Business Development) 활성화를 위한 평가항목 및 개발될 기술의 사업성을 평가할 수 있는 평가모델을 설계하였다.

An Analysis on the Economic Validity of the Establishment of R&D Supreme Academy (R&D 인력 재교육 전문기관의 경제적 타당성 분석)

  • Lim, Chang-Joo;Kim, Sang-Yung;Baek, Nak-Ki;Oh, Sea-Hong;Seo, Jong-Hyen
    • Journal of the Korea Safety Management & Science
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    • v.11 no.3
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    • pp.181-188
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    • 2009
  • This paper presents the economic validity with the cost/benefit analysis on establishing R&D Supreme Academy. To evaluate the profitability of R&D Supreme Academy, willingness to pay (WTP) is measured by contingent valuation method (CVM) and then the net present value (NPV), internal rate of return (IRR) and benefit/cost ratio(BCR) are calculated. The results of economic evaluation verified that the establishment of R&D Supreme Academy is timely and effective in an economic perspective.

A System Dynamics Approach for Valuing Nuclear Power Technology (System Dynamics를 이용한 원자력발전의 기술가치 평가)

  • Lee, Yong-Suk
    • Korean System Dynamics Review
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    • v.7 no.2
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    • pp.57-80
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    • 2006
  • Nuclear technology made a great contribution to the national economy and society by localization of nuclear power plant design, and by stabilization of electricity price, etc. It is very important to conduct the retrospective analysis for the nuclear technology contribution to the national economy and society, but it is more important to conduct prospective analysis for the nuclear technology contribution. The term "technology value" is often used in the prospective analysis to value the result of technology development. There are various definitions of technology value, but generally it means the increment of future revenue or the reduction of future cost by technology development. These technology valuation methods are widely used in various fields (information technology or energy technology, etc). The main objective of this research is to develop valuation methodology that represents unique characteristics of nuclear power technology. The valuation methodology that incorporates market share changes of generation technologies was developed. The technology valuation model which consists of five modules (electricity demand forecast module, technology development module, market share module, electricity generation module, total cost module) to incorporate market share changes of generation technologies was developed. The nuclear power technology value assessed by this technology valuation model was 3 times more than the value assessed by the conventional method. So it was confirmed that it is very important to incorporates market share changes of generation technologies. The valuation results of nuclear power technology in this study can be used as policy data for ensuring the benefits of nuclear power R&D (Research and Development) investment.

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The External Benefits of Research and Development Investment in Waste-to-Energy Technology in Korea

  • Lim, Seul-Ye;Kim, Hyo-Jin;Yoo, Seung-Hoon
    • Asian Journal of Innovation and Policy
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    • v.5 no.2
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    • pp.208-224
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    • 2016
  • The Korean government considers expanding the WtE share of total energy from 1% to 5% by 2020 through research and development (R&D) in waste-to-energy (WtE) technologies. This study attempts to measure the external benefits of investing in R&D in these technologies. To this end, a contingent valuation (CV) is employed. More specifically, a 2016 national survey of randomly selected 1,000 households was carried out across the nation to gauge the willingness to pay (WTP) for the investment. One-and-one-half-bounded dichotomous choice question was used in the CV survey, and the spike model was applied to dealing with zero WTP responses. The mean yearly WTP is estimated to be KRW 4,175 (USD 3.57) per household, which is statistically significant at the 1% level. Expanding the value to the entire nation translates into an investment of about KRW 79.1 billion (USD 67.6 million), which can be interpreted as the annual external benefit of the R&D investment in WtE technology.