• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.6
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• pp.1189-1204
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• 2020

Population aging and longevity have compelled major worldwide consumer markets to focus on senior citizens who exhibit a desire to nurture their appearance and obtain related products such as cosmetics. This trend signals an increasing need for in-depth research on elderly consumers in the color cosmetics market. This study identified the characteristics of seniors in the pre-elderly stage ("new seniors") based on their lifestyle and market segments. It employed online surveys with participants consisting of pre-elderly Korean women born between 1955 and 1963 who reside in the greater Seoul and Gyeonggi area. The study used SPSS 23.0 for factor analysis, reliability verification, cluster analysis, ANOVA, Duncan's test, and cross-analysis. The results show that new seniors could be classified into four groups based on lifestyle: Prime Seniors, Potential Seniors, Rational Seniors, and Slump Seniors. Each group has distinct characteristics. The findings suggest that the senior market requires further segmentation and is no longer a single uniform market. This study also confirms that the lifestyles of the elderly is an instrumental variable for their segmentation.

• Asia Marketing Journal
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• v.14 no.2
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• pp.157-176
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• 2012

Brand switching data frequently used in market structure analysis is adequate to analyze non- durable goods, because it can capture competition between specific two brands. But brand switching data sometimes can not be used to analyze goods like automobiles having long term duration because one of main assumptions that consumer preference toward brand attributes is not changed against time can be violated. Therefore a new type of data which can precisely capture competition among durable goods is needed. Another problem of using brand switching data collected from actual purchase behavior is short of explanation why consumers consider different set of brands. Considering above problems, main purpose of this study is to analyze market structure for durable goods with consideration set. The author uses exploratory approach and latent class clustering to identify market structure based on heterogeneous consideration set among consumers. Then the relationship between some factors and consideration set formation is analyzed. Some benefits and two demographic variables - age and income - are selected as factors based on consumer behavior theory. The author analyzed USA automotive market with top 11 brands using exploratory approach and latent class clustering. 2,500 respondents are randomly selected from the total sample and used for analysis. Six models concerning market structure are established to test. Model 1 means non-structured market and model 6 means market structure composed of six sub-markets. It is exploratory approach because any hypothetical market structure is not defined. The result showed that model 1 is insufficient to fit data. It implies that USA automotive market is a structured market. Model 3 with three market structures is significant and identified as the optimal market structure in USA automotive market. Three sub markets are named as USA brands, Asian Brands, and European Brands. And it implies that country of origin effect may exist in USA automotive market. Comparison between modal classification by derived market structures and probabilistic classification by research model was conducted to test how model 3 can correctly classify respondents. The model classify 97% of respondents exactly. The result of this study is different from those of previous research. Previous research used confirmatory approach. Car type and price were chosen as criteria for market structuring and car type-price structure was revealed as the optimal structure for USA automotive market. But this research used exploratory approach without hypothetical market structures. It is not concluded yet which approach is superior. For confirmatory approach, hypothetical market structures should be established exhaustively, because the optimal market structure is selected among hypothetical structures. On the other hand, exploratory approach has a potential problem that validity for derived optimal market structure is somewhat difficult to verify. There also exist market boundary difference between this research and previous research. While previous research analyzed seven car brands, this research analyzed eleven car brands. Both researches seemed to represent entire car market, because cumulative market shares for analyzed brands exceeds 50%. But market boundary difference might affect the different results. Though both researches showed different results, it is obvious that country of origin effect among brands should be considered as important criteria to analyze USA automotive market structure. This research tried to explain heterogeneity of consideration sets among consumers using benefits and two demographic factors, sex and income. Benefit works as a key variable for consumer decision process, and also works as an important criterion in market segmentation. Three factors - trust/safety, image/fun to drive, and economy - are identified among nine benefit related measure. Then the relationship between market structures and independent variables is analyzed using multinomial regression. Independent variables are three benefit factors and two demographic factors. The result showed that all independent variables can be used to explain why there exist different market structures in USA automotive market. For example, a male consumer who perceives all benefits important and has lower income tends to consider domestic brands more than European brands. And the result also showed benefits, sex, and income have an effect to consideration set formation. Though it is generally perceived that a consumer who has higher income is likely to purchase a high priced car, it is notable that American consumers perceived benefits of domestic brands much positive regardless of income. Male consumers especially showed higher loyalty for domestic brands. Managerial implications of this research are as follow. Though implication may be confined to the USA automotive market, the effect of sex on automotive buying behavior should be analyzed. The automotive market is traditionally conceived as male consumers oriented market. But the proportion of female consumers has grown over the years in the automotive market. It is natural outcome that Volvo and Hyundai motors recently developed new cars which are targeted for women market. Secondly, the model used in this research can be applied easier than that of previous researches. Exploratory approach has many advantages except difficulty to apply for practice, because it tends to accompany with complicated model and to require various types of data. The data needed for the model in this research are a few items such as purchased brands, consideration set, some benefits, and some demographic factors and easy to collect from consumers.

• Journal of Sasang Constitutional Medicine
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• v.25 no.1
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• pp.43-50
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• 2013

Objectives The aim of this study is to survey the present scales of constitutional medical service market on the base of Korean medical service market following 2006, 2008 year survey. Methods This survey was conducted from Nov. 1 to Dec. 15, 2011 by offline mail. A questionnaire including personal information, general information, and management related to constitutional medicine of Korean medical institution was sent to each subject with a returned envelope. The subjects were asked to complete the questionnaire and 108 data were collected and analyzed. Results This study revealed that the 62% facilities of all Korean medical clinics in Korea are using constitutional medicine for patients. The proportion of constitutional medical service was 13.7% in Korean medical care insurance and 23.5% in total Korean medical service market. Conclusion It is assumed that the scales of total Korean medical service market seemed to be 3,974,425 million won and the scales of total constitutional medical service market seemed to be 929,404 million won.

• Journal of applied mathematics & informatics
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• v.26 no.1_2
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• pp.383-387
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• 2008

The problem of recursive filtering for discrete market model with unknown parameters is considered. In this paper, we develop an effective filtering algorithm for discrete market systems with unknown parameters and the error covariance equation determining the accuracy of the proposed algorithm is derived.

• Proceedings of the KSR Conference
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• 2000.11a
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• pp.68-76
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• 2000

Reliable external cost must be estimated to achieve the optimal market share between transportation modes. In this paper, we determined the market share between railroad and road on the cost minimization base. The results show that optimal market share is achieved by increasing investment on railroad.

• Journal of Fashion Business
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• v.15 no.6
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• pp.176-203
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• 2011

In today's intensifying global competition, Korean fashion industry is relying on only qualitative data for feasibility study of future projects and developmental plan. This study was conducted in order to support establishment of a scientific and rational management system that reflects market demand. First, fashion market size was limited to the total amount of expenditure for fashion clothing products directly purchased by Koreans for wear during 6 months in spring and summer and 6 months in autumn and winter. Fashion market forecasting model was developed using statistical forecasting method proposed by previous research. Specifically, time series model was selected, which is a verified statistical forecasting method that can predict future demand when data from the past is available. The time series for empirical analysis was fashion market sizes for 8 segmented markets at 22 time points, obtained twice each year by the author from 1998 to 2008. Targets of the demand forecasting model were 21 research models: total of 7 markets (excluding outerwear market which is sensitive to seasonal index), including 6 segmented markets (men's formal wear, women's formal wear, casual wear, sportswear, underwear, and children's wear) and the total market, and these markets were divided in time into the first half, the second half, and the whole year. To develop demand forecasting model, time series of the 21 research targets were used to develop univariate time series models using 9 types of exponential smoothing methods. The forecasting models predicted the demands in most fashion markets to grow, but demand for women's formal wear market was forecasted to decrease. Decrease in demand for women's formal wear market has been pronounced since 2002 when casualization of fashion market intensified, and this trend was analyzed to continue affecting the demand in the future.

• The Research Journal of the Costume Culture
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• v.25 no.2
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• pp.145-158
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• 2017

This paper aims to analyze the characteristics of the contemporary Chinese fashion market and the competitiveness of Korean fashion brands in China. Fashion professionals experienced in both the Korean and Chinese fashion markets participated to investigate the Shanghai market and consumers. The results of in-depth interviews show that Shanghai is the most favorable city among Tier 1 cities for Korean fashion brands planning on entering into the Chinese market. Shanghai consumers are open to international brands and highly prefer newness in fashion. Contemporary menswear was selected as a potentially big market due to the increase of unique, young, upper-middle-class male consumers. The Korean fashion brands' strength is that they are capable of satisfying Shanghai consumers with excellent product planning and sensory design capabilities. Their disadvantage is that their brand recognition is weaker than that of global and international brands, and their ability to localize to the Chinese market is weak. The opportunity comes is from the Korean Wave, which is a positive for Korea's products and has good geographical access. The threat is that the Shanghai market is fiercely competitive; having access to many worldwide brands, and the competitiveness of Chinese brands is on the rise. To enter the Shanghai market, creative design ability, trendy product development, skill, and appropriate PR methods such as using Korean culture contents would be required to satisfy the young, powerful consumers in Shanghai.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.3
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• pp.141-152
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• 2018

Although market orientation as the implementation of the marketing concept has long been a major subject in marketing, firms with market orientation do not necessarily come with high performance, showing mixed results in literature. There have been attempts to link market orientation-firm performance until recently with different mediators, but the appreciation on market orientation has been faded in practice. This study focuses on two possibilities for the causes of these problems. 1) Previous studies have overlooked the qualitative aspects of market orientation, 2) have focused on the performance at corporate level. To provide a generalized performance-generation framework, this study demonstrates the market information quality as a moderating variable and introduces the task performance of employees as a universal mediator between market orientation and the firm performance. As the result of this study, we confirmed the positive role of the market information quality and employees' task performance in market orientation-Firm Performance. The relationship between market orientation and employee's task performance becomes stronger when market information quality is high in value. We highlighted the performance generating mechanism of market orientation, regardless of context. This research provides new insights for marketing scholars and managers with regard to both activities and quality of market information and how market orientation affects individual and firm level performance.

• Journal of Animal Science and Technology
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• v.58 no.9
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• pp.35.1-35.10
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• 2016

Background: The aim of this work was the comparison between the carcass and the meat ewes of the regional Traditional market and the Islamic religious (Halal) market. Methods: Thirty and 20 at the end of career traditional market and Halal market ewes were slaughtered following the EC (European Council, 2009) animal welfare guidelines. Live weight of ewes was taken and dressing percentage of carcasses was calculated. On every carcass zoometric measurement and the evaluation trough the EU grid rules were performed. On the Musculus longissimus thoracis of 12 Traditional market carcasses and 11 Halal market carcasses the physical-chemical and nutritional analysis were performed. Consumer tests for liking meat ewe were performed in order to find consumer's preference level for Traditional and Halal markets ewe meat. Considering as fixed factor the ewe meat market (Traditional and Halal), results were submitted to oneway Analysis of Variance (ANOVA) and to Principal Component Analysis (PCA). Results: The Halal market ewes have shown lower dressing percentages ($42.91{\pm}0.82$ vs $46.42{\pm}0.69$) and lower conformation score ($4.5{\pm}0.5$ vs $7.8{\pm}0.4$). The Halal market meat showed higher cooking loss in oven ($37.83{\pm}1.20$ vs $32.03{\pm}1.15%$), lesser Chroma value ($18.63{\pm}0.70$ vs $21.84{\pm}0.67$), and lesser Hue angle value ($0.26{\pm}0.02$ vs $0.34{\pm}0.02$). This product had also lower fat percentage ($4.2{\pm}0.4$ vs $7.09{\pm}0.4$). The traditional market meat had higher percentage in monounsatured fatty acids (MUFA) ($43.84{\pm}1.05$ vs $38.22{\pm}1.10$), while the Halal market meat had higher percentage in ${\omega}3$ poliunsatured fatty acids (PUFA) ($5.04{\pm}0.42$ vs $3.60{\pm}0.40$). The consumer test showed as the ewe meat was appreciate by the consumers. Conclusions: Both meat typologies have shown good nutritional characteristics. The traditional market meat had higher MUFA composition, and a better MUFA/satured fatty acids (SFA) ratio, while the Halal market meat had higher PUFA composition. These results were also supported by the PCA. The consumers preferred the traditional market meat.

• Korean System Dynamics Review
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• v.14 no.3
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• pp.135-163
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• 2013

This study aims to analyze the feedback loops and policy simulation of price fluctuation of Korean Cattle. The Korean Cattle market shows the 'Cycle of Beef' since 1970. In general, the market for agricultural commodities exhibit repeated cycles of prices and production. Why Beef products market in Korea shows the fluctuation of cattle and beef price repeatedly for forty years? To find an answer, this paper explores the feedback structure of the dynamics of the beef market by the systems thinking and build a stock-flow diagram model for the simulation of future behavior of the market sector of the Cattle. The dynamic simulation model was developed to identify and analyze the cyclical behavior among many variables, which is the number of cattle (calves, cow, etc.), the price of cattle, the demand for beef, the desirable number of cattle, slaughter, etc. The results of this study demonstrate that dominant feedback loops between the number of cattle and livestock prices. The demand for Beef and slaughter with time delay, also the results of the simulation to explain the persistence of future price fluctuations and actions meat market until 2025.