• IE interfaces
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• v.15 no.4
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• pp.444-451
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• 2002

Recently, the interest in technology valuation is revived and increasing mainly due to the lack of suitability of the traditional valuation methods in explaining the market reaction to newly-emerging knowledge-oriented companies. Moreover, many firms are now gearing their efforts to the strategic use of technology asset such as technology licensing, transfer and commercialization. Firms are also trying to enhance their technological competitiveness by re-evaluating their technology level and thus identifying the strengths/weaknesses of their technology portfolio. To accomplish this objective, the development of an integrated evaluation system for technology assets is essential. This paper presents a technology valuation system developed for a steel manufacturing company in South Korea. The valuation framework is based on; (1) the multi-attribute evaluation of technological competitiveness using Analytic Hierarchical Process and; (2) the expected future benefit of the technology using four different methods of discounted cash flow estimation. The suggested framework will be easily applicable to various industries where technological competitiveness should be evaluated systematically.

• Journal of Energy Engineering
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• v.23 no.4
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• pp.106-111
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• 2014

In order to manage the gradual increase of electricity demand, the United States, Japan, and Europe are seeking to achieve overall change of electric power system by introducing solutions such as smart grid. Among these solutions, there are various research projects regarding the Electricity Storage System (ESS), which aims to promote the efficient usage of electricity and grid system of new and renewable energy system. Korean government revised the law by including ESS in new and renewable energy facilities to accelerate ESS deployment. Following the same direction of the government policy, this study suggests methodologies of setting REC weighted value that guarantees investment financial feasibility when new and renewable power producers install ESS.

• Journal of Korean Library and Information Science Society
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• v.41 no.4
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• pp.355-381
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• 2010

The purpose of this study was to develop teaching-learning method for reading guidance librarians in Korean Library and Information Science. Even though it was an increase of needs for reading guidance librarians in libraries, reading education courses provided by LIS in Korea lacked. Also, most reading education courses of LIS stressed knowledge-oriented education than the practice of reading program design or reading experience. So this study developed the teaching-learning method of the self-directed learning for the activities of post-reading portfolio, management of reading program for motivation, and the team-projected learning for the design of reading program.

• The Journal of the Convergence on Culture Technology
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• v.4 no.1
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• pp.219-224
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• 2018

Financial Assets have various characteristics, the benefits from which create demands for the financial assets. Based on the financial benefits, this article analyzes the influential factors on Korean households' financial portfolios. Provided that profitability and safety remain constant, it shows that individuals' most preferred characteristics have a significant impact on their selection of financial assets. Main demographic variables and financial status can also be considered to be influential factors according to the financial asset categories. Additionally, a further study on the substitution between financial assets would be helpful for developing new financial instruments.

• Journal of the Korean Solar Energy Society
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• v.40 no.3
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• pp.33-42
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• 2020

Operational energy is the energy that is used during the occupancy stage of building life cycle. It is associated with relatively longer proportion of infrastructure's service life and can constitute 80-90% of the total energy. Assessing the energy use in buildings is essential since they are significant contributors to energy demand. In this regard, energy performance of buildings has become the focus of many regulations. This paper aimed to review the regulations about the energy performance of buildings during their operational stage in Korea. For energy efficient operation program for existing buildings, governments should implement policies and support voluntary programs that rely on collecting and managing building performance data and using this data to inform public and private-sector operation and maintenance strategies. Implementing these policies and programs requires tools and processes for collecting, curating, managing, analyzing, and publishing this data. Energy assessment tool, that is a data resource management tool that enables to assess energy use across the entire portfolio of buildings, is also required.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.25-39
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• 2021

This purpose of this study is to investigate the association among mutual funds (MFs) risk measures and return parameters, evaluate mutual fund performance and also explore the best appropriate mutual fund performance measure for investment in Pakistan. Therefore, thirty-five mutual funds have been selected for the period 2007-2015. The Sharpe, Treynor, Jensen Alpha, Information ratio and Fama's Net Selectivity measures has been used to analyze MF performance. Our study findings show significant positive relation exist between Sharpe and Jenson alpha & information ratio (IR); Treynor ratio is negatively correlated to Jenson alpha and Jenson alpha is positively allied with IR. Moreover, association among performance measures, Fama's net selectivity is a major driver in leading to other measures but Sharpe and IR lead to Treynor ratio as well. Furthermore, performance measures are ranked in accordance standard deviation with the arrangement of Fama's net selectivity at top, Jenson Alpha at second, Sharpe ratio at third, IR at fourth and Treynor ratio at fifth position according to risk parameters in Pakistan. Overall, Jensen Alpha measure appears to be the best suitable mutual fund performance measure in Pakistan due to its practical nature. Finally, the Pakistani stock market index KSE100 (as benchmark) performs better than MF industry of Pakistan.

• Asia Marketing Journal
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• v.20 no.3
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• pp.1-15
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• 2018

Dongwon Systems established in 1977 to exclusively supply Dongwon tuna cans, the parent company. Instead of its stable management and profits by relying on the parent company, the company was not complacent and started innovating and challenging new markets. Dongwon Systems decided to expand the business area and pioneer new markets so that it becomes the first domestic company to successfully expand into independent businesses other than parent company products. Such success of Dongwon Systems was driven by its differentiated B2B strategies. Unlike the characteristics of usual B2B companies, Dongwon Systems has been thinking both of its client companies and end-consumers. In this case-study, we will explore how Dongwon Systems became the No.1 packaging solution company in Korea through technology innovation in the aspects of unique B2B marketing strategy. The key success factor can be summarized in three ways; product and technology development with customer centric mind-set, systematically extending new markets through business diversification, and marking Southeast Asia as a bridgehead for its global strategy. It is expected that the current case study of Dongwon Systems will be able to provide implications for B2C companies as well as B2B companies that try to expand their business portfolio and global business areas through B2B marketing case analysis.

• Asia-Pacific Journal of Business
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• v.14 no.1
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• pp.113-129
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• 2023

Purpose - The purpose of this study is to examine whether trading volume amplifies the extent to which lottery-type stocks are overpriced, and whether economic sentiment index explains time-variation in the magnitude of the volume amplification effect. Design/methodology/approach - We examine monthly returns on 5x5 monthly bivariate portfolios formed by lottery characteristics (measured by maximum daily return) and trading volume. In addition, we perform time-series regression tests to examine how the volume amplification effect changes in high and low economic sentiment periods, after controlling for Fama-French three factors. Findings - Our bivariate portfolio analysis shows that the overpricing of lottery-type stocks are mostly pronounced among high trading volume stocks. In contrast, for low trading volume stocks, overpricing of lottery-type stocks appears to vanish. Furthermore, the amplification effect of trading volume on overpricing of lottery-type stock is concentrated in high economic sentiment periods. Research implications or Originality - This study is the first attempt to examine whether trading volume drives lottery-type stocks' overpricing in the Korean stock market. Furthermore, our analysis unveils the time-varying nature of volume amplification effect. The results suggest that trading volume might play a important hidden role in asset pricing, opening a new line of researches in the future.

• International Journal of Computer Science & Network Security
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• v.24 no.9
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• pp.105-110
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• 2024

Nowadays, permutation problems with large state spaces and the path to solution is irrelevant such as N-Queens problem has the same general property for many important applications such as integrated-circuit design, factory-floor layout, job-shop scheduling, automatic programming, telecommunications network optimization, vehicle routing, and portfolio management. Therefore, methods which are able to find a solution are very important. Genetic algorithm (GA) is one the most well-known methods for solving N-Queens problem and applicable to a wide range of permutation problems. In the absence of specialized solution for a particular problem, genetic algorithm would be efficient. But holism and random choices cause problem for genetic algorithm in searching large state spaces. So, the efficiency of this algorithm would be demoted when the size of state space of the problem grows exponentially. In this paper, the new method presented based on genetic algorithm to cover this weakness. This new method is trying to provide partial view for genetic algorithm by locally searching the state space. This may cause genetic algorithm to take shorter steps toward the solution. To find the first solution and other solutions in N-Queens problem using proposed method: dividing N-Queens problem into subproblems, which configuring initial population of genetic algorithm. The proposed method is evaluated and compares it with two similar methods that indicate the amount of performance improvement.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.14 no.5
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• pp.1-12
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• 2015

Length and the number of tunnels has increased 10% annually. Tunnel construction has positive effect in nature and driving condition. However, the structure of tunnels lead to a greater probability of major accidents. For this reason, tunnel is focusing its attention on the rapid incident handling and disaster management to build a tunnel management system in recently. In this study, tunnel management system adequacy analyzed in terms of operational safety using IPA and AHP analysis. IPA analysis results using the portfolio chart, incident management factors has a large gap between important and satisfaction. Disaster management is analyzed high ranking in priority. However, incident management factors are derived first priority in AHP analysis. This study determined that the results are meaningful to practitioners in the field is determined. In addition, practitioners comments should be reflected primarily for tunnel operational safely.