• Asia Marketing Journal
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• v.11 no.3
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• pp.151-165
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• 2009

The objective of this case study is to analyze how effectively KIA SOUL, which is a leading Crossover Utility Vehicle (CUV) brand, has created a new market space through innovative product strategy. Up until now, most car manufacturers have focused only on the traditional product market segments missing out on the opportunity of the crossover segment market. KIA SOUL found a new market space by identifying the high crossover utility demand and filling the gap between the current product category values and the emerging crossover product category values. This case study illustrates that an innovative product strategy can be effectively employed to create a new market space in the saturated car manufacturing industry. The case summarizes that the innovative product strategy of KIA SOUL is comprised of four primary pillars: design innovation, market frontier in CUV, the first company to launch customizing service brand-TUON, and functional innovation. The KIA SOUL case study provides valuable insights and implications for many other companies that are planning to find "blue oceans" for their own business.

• Korea Journal of Hospital Management
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• v.6 no.3
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• pp.90-108
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• 2001

This research examines the compensation package maximizing the utilities of internal customers by applying the market segmentation theory. Data were collected from four Korean hospitals in Seoul, Pusan and Kyunggi-do. The research is designed to seek the compensation package maximizing the utility of doctors and nurses by applying the market segmentation theory. The compensation package for doctors and nurses was classified into 5 attributes which are level of salary, payment method, education, promotion, reward method. The test results were as follows. First, the relative importance of each attribute in the compensation package is different. The level of salary is the most important, reward method is the next. Second, the utility of doctors increases by 8.7%, when they are segmented on the basis. of their preference for compensation attributes while that of nurses increases by 39.8%. The results of this study imply that the utility of doctors and nurses increases with differentiated compensation package for internal customer segmented by their preference.

• Journal of Fashion Business
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• v.2 no.4
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• pp.28-39
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• 1998

The purpose of this study was to demonstrate the information sources according to the benefit segmentations of New kids' jeans wearing. The subject consisted of 392 adolescents in Seoul and Honsung area. For analysis of data, confirming factor analysis, correlations, stepwise regression analysis were applied. The results were as follow ; 1. The benefit segmentation dimensions of New kids' jeans wearing were brand royalty, personality, fashionality, and utility pursuit. 2. According to the correlations between the benefit segmentation and the information sources, brand royalty was positive correlation with all information sources. Similary, both personality and fashionality were positive correlation with market initiated and neutral information. The other hand. only utility was negative correlation with neutral information. 3. In influences of the information sources according to the benefit segmentations, market initiated information is high valued in personality, fashionality, utility, and brand royalty. Neutral information is high valued in fashionality.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.2
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• pp.266-272
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• 2011

Real Time Pricing(RTP) is used not only to stabilize the price volatility in electricity market, but to hedge the price risk for Load Serving Entity(LSE). This paper presents an efficient method to reduce the risk of the price volatility in real-time electricity market. For designing the RTP, load patterns of customer are calculated by applying the demand elasticity and customer's utility is also analyzed to compute the RTP revenue through the risk-attribute of the LSE. In the end, the distribution of the LSE's profits can be evaluated to lead the optimal RTP value, depending on the level of customer's participation. Results from the case study based on PJM data are reported to illustrate the proposed method.

• Proceedings of the KIEE Conference
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• 2001.11b
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• pp.57-59
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• 2001

The restructuring of power industry is still going on all over the world for last several decades. Many kinds of restructuring model has been studied, proposed, and applied. Among those models, power pool is more popular than others. This paper assumes the power pool market structure having competitive generation sector and a new method is presented to build bidding strategy in that market. The utilities participating in the market have the perfect information on their cost and price functions, but they don't know the strategy to be chosen by others. To define one's strategy as a vector, we make utility's cost/price function into discrete step function. An utility knows only his own strategy, so he estimates the other's strategy using stochastic methods. For considering these conditions, we introduce the Bayesian rules and noncooperative game theory concepts. Also additional assumptions are included for simplification of solving process. Each utility builds the strategy to maximize his own expected profit function using noncooperative Bayesian game. A numerical example is given in case study to show essential features of this approach.

• East Asian mathematical journal
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• v.33 no.1
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• pp.23-36
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• 2017

We study an optimization problem for HARA utility function under a multi-scale Heston's stochastic volatility model. We investigate a practical strategy that do not depend on the incorporated factor which is unobservable in the market.

• East Asian mathematical journal
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• v.34 no.1
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• pp.1-16
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• 2018

We study an optimization problem for hyperbolic absolute risk aversion (HARA) utility function under two-factor Heston's stochastic volatility model. It is not possible to obtain an explicit solution because our financial market model is complicated. However, by using asymptotic analysis technique, we find the explicit forms of the approximations of the optimal value function and the optimal strategy for HARA utility function.

• International Commerce and Information Review
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• v.5 no.2
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• pp.3-17
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• 2003

This paper examined a e-Business utility of on-line shopping mall firms. Based on the literature review and cases study, the following results were found. First, in e-business policy, it was found that partnership between government and market are very important to e-business utility. Second, e-CRM of on-line shopping mall firms should be considered web site design based on commodity, cafe based on experience and information shares, and transaction confirm service. Third, B2C e-commerce model should be contained firm-specific force, customer oriented force, social force, and technology force.

• Plant Journal
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• v.6 no.1
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• pp.64-70
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• 2010

From 2000, the world plant market, especially plant developing business related to oil and gas, has been increasing. Domestic construction companies advance to overseas plant construction market actively, and proportioning to this, an importance of utility construction is increasing. However, the project becomes large and high-tech, and many companies experience difficulty of project management due to relatively high risk of overseas construction. In this study, we built the standard process with which domestic company can evaluate the risk of overseas plant utility construction. Primary factors for risk evaluation is derived, classification system is made out, primary factor is analyzed, and counter plan is suggested. And thorough management of risk is performed by risk management organization that manages the risks, risk control methods, reports and monitors through risk sheet and risk action log from the start of project to the end.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.91-101
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• 2021

The paper examines the impact of the COVID-19 pandemic on the stock market prices. The vector autoregression model (VAR) has been used in this analysis to survey 341 stocks on the Ho Chi Minh City Stock Exchange (HOSE) for the period from January 23, 2020 to December 31, 2020. The empirical results obtained from the analysis of 11 economic sectors suggest that there is a statistically significant impact relationship between COVID-19 and the healthcare and utility industries. Additional findings show a statistically significant negative impact of COVID-19 on the utility share price at lag 1. Analysis of impulse response function (IRF) and forecast error variance decomposition (FEVD) show an inverse reaction of utility stock prices to the impact of COVID-19 and a gradual disappearing shock after two steps. Major findings show that there is a clear negative effect of the COVID-19 pandemic on share prices, and the daily increase in the number of confirmed cases, indicate that, in future disease outbreaks, early containment measures and positive responses are necessary conditions for governments and nations to protect stock markets from excessive depreciation. Utility stocks are among the most severely impacted shares on financial exchanges during a pandemic due to the high risk of immediate or irreversible closure of manufacturing lines and poor demand for basic amenities.