• East Asian mathematical journal
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• v.36 no.1
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• pp.55-60
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• 2020

We study a probabilistic approach for valuing an exchange option with default risk. The structural model of Klein [6] is used for modeling default risk. Under the structural model, we derive the closed-form pricing formula of the exchange option with default risk. Specifically, we provide the pricing formula of the option with the bivariate normal cumulative function via a change of measure technique and a multidimensional Girsanov's theorem.

• Journal of Korea Technology Innovation Society
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• v.7 no.2
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• pp.413-439
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• 2004

There are many new technologies developed these days and the companies try to assess their technologies in order to either get financial supports or verify how valuable they are. However, since not only so many innovative technologies have been developed, but also the areas are very diverse, it becomes really difficult to value the technologies by the conservative technology valuation systems. Especially, in the energy technology area, it is much harder because energy technology is mainly used for public purposes and there have not been many experiences of valuing technologies. In this paper, the objective and systematic technology valuation system tool for energy technology will be suggested and investigated.

• Journal of Technology Innovation
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• v.14 no.1
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• pp.177-199
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• 2006

Recently, it has become important to establish a technology appraisal system because of increasing a service of technology credit guarantee. Also, there have been many efforts to evaluate a technology in the advanced countries. The technology/credit appraisal model which can measure firms' performance was suggested by Small and Medium Business Administration. In this paper, we analyze a structural validity of the model by confirmatory factor analysis and estimate the model which can distinguish whether an investment is possible or not by discriminant analysis.

• 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 Information Management
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• v.33 no.4
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• pp.107-128
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• 2002

The purpose of this study is developing a information support system for R&D decision making to maximize economic results of the R&D. This system is composed of studying the model of work flow for R&D decision making, analyzing a technology information, connecting with the databases from KISTI and others, and valuing R&D technology on line. Especially in the case of technology valuation, this system is combined with the valuation model which supports knowledge information for helping more objective estimation.

• Journal of Technology Innovation
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• v.15 no.2
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• pp.153-176
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• 2007

DMB data broadcasting has recently come into the spotlight as a platform for a new business opportunity and an application of various contents. This paper estimates the willingness to pay for the DMB data broadcasting services and explains the demand characteristics for TPEG, BIFS and BWS services, using the Double-bounded dichotomous choice Contingent Valuation Method. Consumers are willing to pay 2,039 Korean won for TPEG service and 1,612 Korean won for BIFS and BWS services per month, which corresponds to the market size 87.6 billion Korean won for TPEG and 195.2 billion Korean won for BWS and BIFS a year respectively. It is also found that the more consumers show usage intentions, have experiences in the similar services, and know of the DMB data broadcasting services, the more they are likely to pay for the DMB data broadcasting services.

• The Journal of Asian Finance, Economics and Business
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• v.2 no.2
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• pp.27-34
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• 2015

The 21st century belongs to biotechnology as it made profound impact in the field of health, food, agriculture and environmental protection. India's biotechnology industry is poised to record substantial growth, perhaps even overtake the robust IT industry. The objectives of the study are to determine the existing HR practices in Biotech Industry and to understand the need for the up gradation in existing HR Policies. Conclusive and descriptive research design has been used. Data is collected from 122 employees in 23 companies of Biotech Industry. It was found that Biotechnology companies require managers with unique qualities. The lack of solid managerial training and the associated risk of failure often have long-term consequences for the careers of research professionals. The efforts to achieve excellence through a focus on learning, quality, teamwork, and reengineering are driven by the way organizations get things done and how they treat people. Biotech industry is trying to establish itself in India for last one decade but is not showing any phenomenal growth because they still do not valuing their human resource as much they should be.

• East Asian Economic Review
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• v.21 no.3
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• pp.259-274
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• 2017

This study estimates the random utility function of fluid milk using 1,165 survey responses in Laos. It finds that both products' attributes and individual characteristics affect consumers' preference for the milk and the hypothetical brand of Laos-Korea has a potential compared to four real dairy products. Results also show that calories have a positive relationship with consumer's preference while the price and fat content have a negative one. The decision for choosing each brand is significantly affected by individual characteristics such as gender, age, whether or not respondents live with their children, the level of education, income, the frequency of purchasing milk per week, and the region where they live. The preference for five brands appears in the order of Foremost, Nabong, Thai-Danish, Meiji, and Lao-Korea, and probabilities of purchasing each brand at the mean level are 30.9%, 17.48%, 21.48%, 15.0% and 10.39%, respectively. Nabong that was Lao national milk brand still has a significant market power even though it was closed in 2008. The policies to promote milk industry by implementing its national milk brand again would be more effective if it focuses on the young generation, female consumers, families with children, quality of dairy products, and Vientiane capital areas.

• International Journal of Advanced Culture Technology
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• v.10 no.4
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• pp.337-344
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• 2022

The ecological expression of art in modern society takes the harmonious developmental relationship between man and nature as an element and combines it with the various manifestations of painting as an expression of ecological artistic development. The necessary relationship for the harmonious development of nature is accurately articulated, and the ecological changes in people are expressed in integrated materials that inspire human reflection. In the pursuit of material pleasures, mankind is neglectful and indifferent to the environment. The development of composite painting in art and ecology is a process that more reveres the harmony between man and nature as well as satisfying the creative value of the work. After systematic evaluation and research, people have engaged in various structural forms of composite art painting development in the long history of art development, focusing on the integration of environmental and ecological culture.In the process of nature education going through development, the comprehensive practical development of nature education is enhanced and efforts are made to feel new ecological art ideas and new ways of valuing environmental protection. In this paper, an observational study of eco-art will be carried out, starting from the theory of hierarchical division and analyzing the contradictory relationship between man and nature. Recognize nature, understand it and feel it through eco-art painting. The analysis of the contradictory relationship between man and nature is combined with the identification of various types of information that give value to the environmental protection public, and the combination of ecological painting and nature art to achieve an upgrade of the environmental protection idea of the value of painting.

• Educational Technology International
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• v.25 no.1
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• pp.1-25
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• 2024

This study aims to analyze the impact of learners' usability perceptions of topic modeling-based visual feedback and generative AI interpretation on reflection levels in online discussions. To achieve this, we asked 17 students in the Department of Korean language education to conduct an online discussion. Text data generated from online discussions were analyzed using LDA topic modeling to extract five clusters of related words, or topics. These topics were then visualized in a network format, and interpretive feedback was constructed through generative AI. The feedback was presented on a website and rated highly for usability, with learners valuing its information usefulness. Furthermore, an analysis using the non-parametric Mann-Whitney U test based on levels of usability perception revealed that the group with higher perceived usability demonstrated higher levels of reflection. This suggests that well-designed and user-friendly visual feedback can significantly promote deeper reflection and engagement in online discussions. The integration of topic modeling and generative AI can enhance visual feedback in online discussions, reinforcing the efficacy of such feedback in learning. The research highlights the educational significance of these design strategies and clears a path for innovation.