• Asia Marketing Journal
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• v.21 no.2
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• pp.51-71
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• 2019

L&P Cosmetic, the leading company selling mask packs on the global market, produces MEDIHEAL, the number-one best-selling mask pack brand in Korea and the best-selling imported mask pack brand in China (2017). The company pioneered the premium market for mask packs through its launch of premium mask packs in 2009, and has subsequently achieved outstanding success in Korea and China. Three key factors have contributed to the success of L&P Cosmetic: product leadership with R&D capability, strategic marketing programs tailored for each market segment, and operational excellence focusing on strategic outsourcing and partnership management. Nonetheless, globalization beyond the Chinese market remains a major challenge for the potential of L&P Cosmetic. The company has embarked upon a collaboration with BTS, the world's top K-pop stars, as an optimally effective way to achieve its goals and a highly efficient strategy to manage the risks of globalization. The global branding collaboration project with BTS has succeeded in generating primary demand for mask packs on the global market, spreading brand awareness of MEDIHEAL, and establishing global channel networks. L&P Cosmetic will continue to grow worldwide on the basis of this outstanding performance.

• The Journal of Society for e-Business Studies
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• v.17 no.2
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• pp.63-72
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• 2012

The Korean telecommunications market has been expanding swiftly, these days, to be saturated. In this environment, the upcoming mobile telecommunication market, where 4G service was introduced this year, is becoming more substitutive and competitive. Thus, the demand forecasting of 4G service is very difficult, while it is critical to market success. This paper adopts a multi-generation diffusion model to capture the diffusion and substitution patterns for two successive generation of technological services, i.e., 3G and 4G mobile telecommunications services. The three parameters, i.e., the coefficient of innovation, the coefficient of imitation, and the coefficient of market potential, used in the multi-generation diffusion model based on Norton and Bass[11] are obtained by inference from similar substitutive relations between older and newer telecommunication services to 3G and 4G services. The simulation results show that the Bass type multi-generation model can be successfully applied to the demand forecasting of newly introduced 4G mobile telecommunication service.

• Journal of National Security and Military Science
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• s.5
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• pp.241-280
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• 2007

This study examines the relationship of the industry-specific factors that effect innovation of manufacturing technology and the market share within the defense industry. Since the establishment of the basic defense industry framework in 1973, there were numerous interactions of the industry-specific factors of the defense industry structure with the technological innovation and market organization of the defense industry. During last three decades, the domestic defense industry has achieved the considerable level but the framework of the basic system has not developed much in areas of the military science and the defense manufacturing technology. Industry-specific factors were formed in the process and appeared in a variety of behavioral characteristics as subsystems. Currently, there IS a growing trend where the management of defense industry is gradually deteriorating due to limitation of the domestic industry-specific factor (e.g. defense technologies, amount of demand, etc.). If there is a prominent imbalance of the industry-specific factors. it can trigger the potential problem of conflict, lack of cooperation and control, slowing the growth of the manufacturing technology thereby diminishing the market and deteriorating the defense supply/demand relationship. In a research conducted by Joe S. Bain, Bain analyzed the relationship of the traditional industrial organization where industry-specific factor(S) not only impacts the conductor(C). And, conductor(C) influences the shaping of the performance(P) of relationship of the traditional industrial organization. Consequently, the researcher has identified the demand monopoly, barriers to entry, and market competition with comparison of defense industry issues. These defense issues were three industry-specific factors identified, which are 1) The demand monopoly and The entry barriers to new market competition, 2) the industrial technical factor to a production technical competitiveness and a market sharing competitiveness, 3) the probability factor to revolution for military affairs(RMA) and a R&D production. According to baseline with these factors, the following research model is established from the special companies group(Group A), the systematization companies group(Group B), and the general companies group(Group 0. The hypothesis is that if there are more industry-specific factors, then there will be more relationships of defense industry relation statutes. This research is an empirical study on the relationship that the industry specific factors effects the innovation of manufacturing technology and the shaping of the market in the defense industry. Moreover, the existing models to evaluate the industry specific factors of the defense industry IS much to be desired with the controlled statistical analysis of the result. It is vital to study on current situation with suggesting alternative strategy to the efficient strategy. The descriptive analysis approach analysis is conducted with SPSSWIN to conduct reliability test, factor analysis, correlation analysis, cross-tabulation analysis, one-way ANOVA, and multiple regression analysis. However, there were some limitations of the survey such as the rigidity of concept about the technical factors and various market management factors. The wishes is that the decision-maker could be utilized these defence industrial factors to formulate efficient defence policy and strategy in the future.

• Korean Management Science Review
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• v.17 no.3
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• pp.61-71
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• 2000

Due to the potential growing capability that reflects future value, the market value of internet business companies (IB) are still evaluated high although major players like Amazon continuously suffer losses. Then, how do investors valuate the potential growing capabilities given that traditional financial/accounting based valuation approaches seem to be inappropriate for IB. This study attempts to provide an answer to this issue. We, therefore, analyzed the predictability of various accounting and non-accounting variables for IB value. These include book value, net income, unique visitors, page view, reach rate, public float and institutional holdings. Because of being in infant stage and difficulties in obtaining necessary web traffic data, sample of 20 pure IB were selected from Korea Stock Exchange Market, KOSDAQ, and informal market. The results of this study showed that web traffic date had the strongest relationship with IB value. In particular, unique visitors and reach rate were found to be best predictors for IB value while page view was reasonable indicator. Interestingly, net income was not found to related to IB value. This calls for an attention to the typical characteristics of IB that my hinder the usage of traditional valuation approaches for IB. Another results revealed that none of both public float and institutional holdings was significantly associated with IB value, indicating market’s supply-demand factors were less important than traffic information.

• Industrial Engineering and Management Systems
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• v.14 no.2
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• pp.159-174
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• 2015

Remanufacturing used, end-of-life products is a complex problem involving multiple types of products that may share common parts. Recovery targets assigned by market demand and environmental legislation add more difficulty to the problem. Manufacturers now need to achieve specified take-back and recovery rates while fulfilling demands for remanufactured products. To assists in the demand- and legislation-driven remanufacturing of a family of products (i.e., multiple products that share common parts), this paper introduces a bi-objective mixed integer linear programming (MILP) model for optimizing remanufacturing. The model identifies optimal remanufacturing plans for a product family, whereby, the remanufacturer can achieve demand and recovery targets more profitably and in an environmentally-friendly manner. The model can also be used to quantify and justify the economic and environmental benefits of a product family from a remanufacturing perspective. A case study is presented for remanufacturing an alternatorfamily of products.

• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.385-396
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• 2014

In the Korean mobile market, the mobile phone has reach the stage of maturity in terms of demand. Since the long-term evolution(LTE) service was introduced in 2011, there have been drastic changes in the market structure. The purpose of this paper is to examine the user intension of brand switching, to analyse the market share among 3 major mobile service companies using the brand switching matrix and to provide some insights. The results show that the smartphone subscriber rate provided by Ministry of Science, lCT and Future Planning agrees with the market share by brand switching matrix of this study. The potential rate of costumer retention would be arranges in order of SKT>KT>LGU+. The preference of mobile service company on switch be in order of SKT>KT>LGU+. The future market share be SKT 63.55%, KT 21.99%, LGU+ 14.36%. The potential rate of costumer retention fell sharply over the past year, suggesting the drastic fluctuations in market share for a while.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.5
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• pp.113-123
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• 2011

Recently, the global warming problem has arised around world, many nations has set up a various regulations for decreasing $CO_2$. In particular, $CO_2$ emissions reduction effect is very powerful in transport part, so there is a rising interest about development of green car, or electric vehicle in auto industry. For this reason, it is important to make a strategy for charging infra and forcast electric power demand, but it hasn't introduced about demand forecasting electric vehicle. Thus, this paper presents a demand forecasting for electric vehicles using choice based multigeneration diffusion model. In this paper, it estimates innovation coefficient, immitation coefficient in Bass model by using hybrid car market data and forecast electric vehicle market by year using potential demand market through SP(Stated Preference) experiment. Also, It facilitates more accurate demand forecasting electric vehicle market refelcting multigeneration diffusion model in accordance with attribute progress in development of electric vehicle. Through demand forecasting methodology in this paper, it can be utilized power supply and building a charging infra in the future.

• Health Policy and Management
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• v.7 no.1
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• pp.55-72
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• 1997

The purpose of this study is to analyze the consumers' demand pattern and the feature of the market for nursing homes, the number of which is tending upwards. The survey data were obtained from the interview of 500 elderly people living in Seoul and Kyung-Ki provincial area. All respondents were 60 years of age and above. The main findings were summarized as follows: 1. The respondents who are less aged, highly educated comparatively, and living with spouse show positive response for the use of nursing homes. The aged living independently and the aged living with unmarried children show higher demand for this facility. Also, the respondents who prefer independent living away from their childrenn, urban areas as their residence and flat-type housing show more interest for the facility. The respondents who are self- supportive, who has no financial supporter, no caretaker, and no domestic helper demonstrate strong inclination to the use of the facility. The respondents who are interested in this kind of facility, acknowledge the necessity of it show strong intention of moving into it. 2. Logistic regression analysis was conducted to understand factors related to the intention of moving into the nursing homes. The group who wish to live separated from their children in the future give 1.78 times more favorable response than the opposite. The group who have an interest in the facility for elderly has 2.02 times higher intention of moving than the opposite. The group who have an intention of using the facility for elderly it is 7.34 times more likely to move into it. 3. The respondents who are the potential consumers for nursing homes can be subdivided. Within the positive group, it could be divided into the group of living independently with the preference of flat-type housing, the group living independently with the preference of separate housing, and the group wishing to live with their children. Within the negative group, the factor of the division is their concern to the facility. Following this study, it can be said that old age people, who have been regarded as one homogeneous group so far, should be recognized as one characteristic individual. This study also shows that the demand aspect yet in its initial stage shold be researched in anticipation of rapid increase. The understanding of diciding factors, the segmentation of potential market will help work out proper strategy, which will contribute to providers' benefit.

• Journal of Electrical Engineering and Technology
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• v.13 no.3
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• pp.1069-1078
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• 2018

Demand response (DR) programs give opportunity to consumers to manage their electricity bills. Besides, distribution system operator (DSO) is interested in using DR programs to obtain technical and economic benefits for distribution network. Since small consumers have difficulties to individually take part in the electricity market, an entity named demand response provider (DRP) has been recently defined to aggregate the DR of small consumers. However, implementing DR programs face challenges to fairly allocate benefits and payments between DRP and DSO. This paper presents a procedure for modeling the interaction between DRP and DSO based on a bilevel programming model. Both DSO and DRP behave from their own viewpoint with different objective functions. On the one hand, DRP bids the potential of DR programs, which are load shifting and load curtailment, to maximize its expected profit and on the other hand, DSO purchases electric power from either the electricity market or DRP to supply its consumers by minimizing its overall cost. In the proposed bilevel programming approach, the upper level problem represents the DRP decisions, while the lower level problem represents the DSO behavior. The obtained bilevel programming problem (BPP) is converted into a single level optimizing problem using its Karush-Kuhn-Tucker (KKT) optimality conditions. Furthermore, point estimate method (PEM) is employed to model the uncertainties of the power demands and the electricity market prices. The efficiency of the presented model is verified through the case studies and analysis of the obtained results.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.48
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• pp.101-125
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• 2010

CEPA(Comprehensive Economic Partnership Agreement, hereinafter CEPA) between India and Korea may influence some changes on Korean pharmaceutical industry which shows less competitive advantages than Indian industry in many regards. So the purpose of this paper remains on suggesting the way of enhancing international competitiveness for Korean industry on the basis of double diamond model. Through the comprehensive and deep analysis, our findings on recommendable business strategies for Korea are as follows ; in terms of factor conditions, first, cooperative strategy in R&D for developing generics will be required. Second, Introduction of CMO business can be considered. In terms of demand condition, Korean firms should find out the chance for demand creation in Indian market which has future market potential and American market exploration, as soon as possible. With regards to strategy, structure and competition, trying M&A with leading Indian companies and utilizing well organized medical professionals in India will be considered. In the points of related and supportive parts, lastly, Korean government should try to make so called "National Strategic R&D committee" for pharmaceuticals and bring u-healthcare service to Korea in the first place. If Korean pharmaceutical industry implement above-mentioned strategies, CEPA can be turned into business opportunities from the crisis. As a result, Korean firms shall have more powerful global competitiveness eventually.