• IE interfaces
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• v.18 no.2
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• pp.184-192
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• 2005

In recent research there has been intense interest in understanding how real option valuation (ROV) approaches might usefully complement conventional discounted cash flow (DCF) techniques. However, investment decision makers in a real world have been worried about adopting the ROV approaches mainly because of difficulty in technically understanding the theory of the ROV approaches as indicated by many researchers. With this difficulty in mind, we propose the opportunity cost model as another discrete-time model to value a deferral option. The main advantage of observing a real options value in terms of the opportunity cost concept is to provide a technique for practitioners to estimate a wide range of real options values without sticking to a financial option modelling. The fundamental ground for developing the opportunity cost model proposed in this paper lies in the work of dissecting the structure of the real options value into three categories: capital gain, expected opportunity loss, and expected opportunity gain. At the end of the paper, we will present a short illustrative example to demonstrate the applicability of the model.

• 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.

• Journal of Korea Game Society
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• v.14 no.4
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• pp.67-74
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• 2014

Real options valuation models are now proved as a effective valuation method both in Theoretically and empirically. However, to use real options model for early stage start-ups, additional non-financial information is crucial in the valuation process. Previous studies theoretically suggested the modified real options valuation model and process to use non-financial information in the valuation of early stage startups, but there is no empirical evidence on the suggested model. Therefore, this study investigated the effectiveness of the modified real options valuation model using a case study. The case study result showed that the modified real options valuation effectively reflect the non-financial information in early stage startups, and decrease the forecasting error in the valuation process.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.7
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• pp.3016-3021
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• 2011

While there is ample information on the investment plans about Korea's selected new growth businesses, it is hard to find any analysis on the valuation of the projects. In this paper, I intend to do a valuation for the three particular technologies, which are solar cell, automotive battery, and bio-pharmaceutical, based on compound option model so that the valuation can capture not only the expected net cash flow but also the value originated from the flexibility of the decision maker. In addition, the real option pricing theory is reviewed and its practical limitations are thoroughly investigated.

• Journal of Korea Technology Innovation Society
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• v.21 no.1
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• pp.130-150
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• 2018

Technology valuation refers to the act, procedures, or techniques in evaluating certain technology and its value for commercialization. For this purpose, deadlines and process plans are established based on valuation goals such as technology transfer, investment and financing, investment in kind, and strategy establishment. The technology valuation process involves analyzing and evaluating technology performance, rights, marketability, and business value technology, as well as calculating the monetary value of technology modules based on the results. Analysis and evaluation of each module is performed by a team of experts having knowledge of specific technology. Valuation of technologies is conducted as independent projects by project managers (PM) who integrate and manage modules; they must have expertise in systematic performance of task support and management to ensure objectivity and reliability. Furthermore, the valuation team comprises expert stakeholders having knowledge about each module due to the nature of technology valuation. For smooth knowledge sharing in technology and valuation procedures, communication skills and roles of PMs supporting and managing the valuation are important. Primarily, PMs must resolve conflicts between evaluators participating in different tasks, evaluators and evaluatees, and technology holders and receivers. This study examines technology valuation for four conflicts occurring frequently among stakeholders providing valuation support to PMs, and seeks resolutions. The conflicts and resolutions discussed in this study may lead to more specialized roles of PMs in technology valuation and project management, as well as systemized valuation support and management plans.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.129-134
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• 2008

Dividend is one of essential factors determining the value of a firm. According to the valuation theory in finance, discounted cash flow (DCF) is the most popular and widely used method for the valuation of any asset. Since dividends play a key role in the pricing of a firm value by DCF, it is natural that the accurate prediction of future dividends should be most important work in the valuation. Although the dividend forecasting is of importance in the real world for the purpose of investment and financing decision, it is not easy for us to find good theoretical models which can predict future dividends accurately except Marsh and Merton (1987) model. Thus, if we can develop a better method than Marsh and Merton in the prediction of future dividends, it can contribute significantly to the enhancement of a firm value. Therefore, the most important goal of this study is to develop a better method than Marsh and Merton model by applying artificial intelligence techniques.

• Journal of Korea Technology Innovation Society
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• v.8 no.1
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• pp.277-295
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• 2005

The objective of the study is to verify the discriminatory power of valuation indexes in predicting IT small and medium sized manufacturing firms' going concern or firms' failure. The result of the study is expected to be useful in loan evaluation, investment decision, internal management decision making and business improvement. The results of study is as follows. First, we find that at least six valuation index elements are significant ex-ante variable which are discriminating between firms' going concern and firms' failure in IT small and medium sized manufacturing firms in various analysis' results. Second, these index elements are composed of 2 indexes-the ability of technology R&D, the efficient strategy of market penetration and six index elements explain 46% of the total variance. This explainable power of these indexed is similar to that of the existing 16 index elements. Finally, we find that the most important success factor of IT small and medium sized manufacturing firms are the ability of technology R&D and the efficient strategy of market penetration.

• Environmental and Resource Economics Review
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• v.10 no.3
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• pp.289-322
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• 2001

This paper introduces the environmental economic studies in Korea, focused especially on the environmental regulation policy and valuation of environmental resources in Korea. It can be seen from this survey that the Korean environmental economists have had most of their interests in socially hot issues such as the evaluation and alternatives of the existing environmental policy instruments, and the impacts of both the environmental regulation and greenhouse gas reduction policies, as well as economic valuation of environmental assets including air, water, and ecosystem. We need more intensive research on issues of the evaluation of individual public investment, enforcement, transaction costs and income distribution and inter-generational equity. More attention should also be paid to the valuation methods and environmental data.

• Journal of Technology Innovation
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• v.24 no.3
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• pp.1-28
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• 2016

This paper suggests objective practical investment index for venture capital investment evaluation, deviating from investment behavior that relies on venture capitalist's intuition and experience. To deduct universally valid practical venture investment index, We conducted a survey of venture capitalist 65 and analyzed the data using AHP method. The results show that when VCs determine whether to invest in a venture or not, market related factors are considered most important. For venture companies who hope to receive investment from VCs, market access, CEO's technical / managerial experience, and recommendation/reputation are considered as crucial factors.

• The Journal of Fisheries Business Administration
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• v.39 no.1
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• pp.63-85
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• 2008

The objective of this study is to review the methodology of economic analysis of fishing ports by examining the economical feasibilities of a national fishing port (Jeongja Port) in Ulsan. This study utilized market value evaluation method to measure the benefits and costs related to the development of ports. The benefit variables are income effects resulting from the developments while the cost variables are sum of construction costs and maintenance costs. The income effects are measured in two ways: (1) income from individual project resulting from the developments, (2) the income effects by utilizing investment multipliers. The results shows that the BC ratio (Benefits/Costs) of Jeongja port by using (1) income from individual project resulting from the developments was 1.07 while the BC ratio by using (2) the income effects by utilizing investment multipliers was 1.10 due to a relative short period of useful life for investment multipliers. However, the income variable utilizing investment multipliers is more sensitive to the period of duration than the income variable from individual project.