• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.6
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• pp.723-733
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• 2004

This study was designed to find out the effects of country-of-origin and price on the perceived quality, perceived value and purchase willingness of t-shirt products. This study will allow marketers to find the target consumers and to choose both the suitable country -of -origin and the reasonable selling price. This study was based on theoretical and empirical methods. For the empirical methodology, 3${\times}$3 between subjects factorial design with country-of-origin (U.S.A. vs. Korea vs. China) and price(high price vs. middle price vs. low price) was used. The nine types surveys by country-of-origin and price were transmitted to 960 undergraduate and graduate school students in Seoul. A total of 912 questionnaires were used in the final statistical analyses using factor analysis, MANOVA, Duncan test, and Tukey test. The results of this study were as follows: First, in the case of the perceived quality, participants evaluated t-shirt products better when the origin is U.S.A. followed by Korea and China in the order. Second, price affected the perceived value and purchase willingness. In the perceived value and purchase willingness, low priced t-shirt products were evaluated higher than the middle and high priced ones. Third, in the perceived quality, high priced Korean t-shirt products were evaluated lower than high and middle priced American t-shin products. In the perceived value, low priced Chinese t-shirt products were evaluated lower than middle priced Korean t-shirt products. In the purchase willingness, low priced American and low priced Korean t-shirt products and middle priced Korean t-shirt products were evaluated higher than all priced Chinese t-shirt products.

• Journal of the Korean Society of Food Culture
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• v.32 no.6
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• pp.549-557
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• 2017

As many companies are performing brand management as a marketing strategy to establish long-term relationships with their customers, consumers decide the actual purchasing behavior by understanding the brand attributes of the relevant company based on an evaluation standard of the products. This paper provides the basic data for improving the competitiveness of the coffee shop market continuously, and analyzes the influential relationships between each variable by limiting the brand attributes of the coffee shop and the price fairness factor that would be expected to affect the consumers' purchasing behavior as the cause variables. The results showed that the-out of brand attribute factors of the coffee shop, the brand awareness and perceived quality had significant effects on the price fairness while the influence of the shop image on the price fairness was not verified. In addition, all the brand awareness, shop image, and perceived quality had significant effects on the purchasing behavior while the statistical significance between price fairness and purchasing behavior was verified. The rationality of the price presented by the coffee shop could be judged depending on the quality perceived by the consumers. Similarly, once consumers classified the propriety of price and then perceived that a suitable price had been set up regarding the quality and service provided by the coffee shop, it was highly possible for them to include it in their actual purchasing behavior, despite the higher price than other brands'. Further research on the psychological variables affecting the purchasing behavior by securing more diverse consumers to understand their purchasing behavior for a wide range of research subjects and the generalization of research results, will provide useful data for establishing marketing measures necessary to form strong relationships between consumers and brand in the currently-saturated coffee shop market.

• Journal of Korean Society of Transportation
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• v.22 no.2 s.73
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• pp.7-18
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• 2004

This study aims to present the establishment and necessity of the proper market segmentation by customer preference. In this study, benefit segmentation method was employed using conjoint analysis to measure price elasticity by segmented groups. It presents that the price elasticity is different by characteristic of customers using parcel service in this result. Benefit segmentation, therefore, may use some useful marketing tool when a parcel service company segments the market to provide better service.

• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.819-821
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• 2005

Since the System Marginal Price (SMP) is a vital factor to the market entities who intend to maximize the their profit, the short-term marginal price forecasting should be performed correctly. In a electricity market, the short-term trading between the market entities can be generally affected a short-term market price. Therefore, the exact forecasting of SMP can influence on the profit of market participants. This paper presents a methodology of day-ahead SMP foretasting using Autoregressive Integrated Moving Average (ARIMA). To show the efficiency and effectiveness of the proposed method, the numerical studies have been performed using historical data of SMP in 2004.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.10a
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• pp.207-210
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• 1996

Learning methodologies such as neural networks or genetic algorithms usually require long training times. Case based reasoning, however, attains peak performance swiftly and is often appropriate for learning even with small data sets. Previous work has shown that an extended case reasoning methodology can yield superior performance in the task of predicting financial data series. This paper examines the impact of reasoning procedures on stock price prediction. The following characteristics are evaluated: size of input vector, multiplicity of neighboring states, and a scaling factor for growth. The concepts are illustrated in the context of predicting the price of an individual price.

• Proceedings of the IEEK Conference
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• 1999.11a
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• pp.1037-1040
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• 1999

In this paper, we designed the extended ATA(AT Attachment interface with extension) interface that combines with goods price and ability and intellectual behavior of SCSI, for make progress the ability and structure of ordinary interface for connect with device of using PC. ATA is establish a standard of IDE(Intelligent Drive Electronics) public in small form factor. SCSI bus is device behaving intellectual and have stable hardware structure, calssified instructions structure. But it is device that difficult to buy, because of price of more than two times. The other side, ATA device is worse than SCSI bus in part of ability, but it came to SCSI in part of speed after improve and it's price is less expensive. another improvement of ATA is a standard of ARAP(AT Attachment Packet Interface) and use method of packet transmission and behaves as if SCSI use a method. Finally, improvement of ATAPI behave from interface of only HDD to ability of ordinary interface. This paper propose the structure of extended interface that satisfied the price and ability.

• Journal of the Korean Home Economics Association
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• v.48 no.2
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• pp.23-38
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• 2010

The objectives of this study were 1) to classify survey respondents according to vanity scales, and 2) to identify price attitude among the classified groups. The participants were 276 university students who were residents in Seoul. Data were analyzed by factor analysis, cluster analysis, and one-way ANOVA. The vanity scales consisted of four factors; physical concern, physical view, achievement concern and achievement view. Based on these four factors, the respondents were classified into three clusters(interested, vain, and self-confident) as an attached group name. There were significant differences in the dimensions of materialism, price attitude and store choice behavior among the clusters. Marketing implications are discussed.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2005.11a
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• pp.115-119
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• 2005

This study is to examine changes since autonomy of lotting-out price of apartment house and planning factors related to sale of apartment house through leaflet of sale of apartment house. Objects of the study were leaflets of sale of apartment houses through the Donga Il Bo daily newspaper from 2001 to 2003. The results of research can be summarized to three. First, traffic of locational factors in advertisement of sale of apartment house showed the highest frequency and it was found that it was an important planning factor of apartment house. Second, considering that advanced facilities and the highest finishing materials were used, quality of apartment house has been advanced. Third, considering that community space, theme park and green zone showed high occupancy in external space, there has been high increase in external space as well as in internal one since autonomy of lotting-out price.

• Journal of Distribution Science
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• v.13 no.11
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• pp.39-46
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• 2015

Purpose - In Korea, there has been a recent trend that shows housing prices have risen rapidly following the International Monetary Fund crisis. The rapid rise in housing prices is spreading recognition of this as a factor in housing price volatility. In addition, this raises the expectations of housing prices in the future. These expectations are based on the assumption that a relationship exists between the current housing prices and expected housing prices in the real estate industry. By performing an empirical analysis on the validity of the claim that an increase in current housing prices can be correlated with expected housing prices, this study examines whether a long-term equilibrium relationship exists between expected housing prices and existing housing prices. If such a relationship exists, the recovery of equilibrium from disequilibrium is analyzed to derive related implications. Research design, data, and methodology - The relationship between current housing prices and expected housing prices was analyzed empirically using the Vector Error Correction Model. This model was applied to the co-integration test, the long-term equilibrium equation among variables, and the causality test. The housing prices used in the analysis were based on the National Housing Price Trend Survey released by Kookmin Bank. Additionally, the Index of Industrial Product and the Consumer Price Index were also used and were obtained from the Bank of Korea ECOS. The monthly data analyzed were from January 1987 to May 2015. Results - First, a long-term equilibrium relationship was established as one co-integration between current housing price distribution and expected housing prices. Second, the sign of the long-term equilibrium relationship variable was consistent with the theoretical sign, with the elasticity of housing price distribution to expected housing price, the industrial production, and the consumer price volatility revealed as 1.600, 0.104,and 0.092, respectively. This implies that the long-term effect of expected housing price volatility on housing price distribution is more significant than that of the industrial production and consumer price volatility. Third, the sign of the coefficient of the error correction term coincided with the theoretical sign. The absolute value of the coefficient of the correction term in the industrial production equation was 0.006, significantly larger than the coefficients for the expected housing price and the consumer price equation. In case of divergence from the long-term equilibrium relationship, the state of equilibrium will be restored through changes in the interest rate. Fourth, housing-price volatility was found to be causal to expected housing price, and was shown to be bi-directionally causal to industrial production. Conclusions - Based on the finding of this study, it is required to relieve the association between current housing price distribution and expected housing price by using property taxes and the loan-to-value policy to stabilize the housing market. Further, the relationship between housing price distribution and expected housing price can be examined and tested using a sophisticated methodology and policy variables.

• International Area Studies Review
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• v.15 no.2
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• pp.77-100
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• 2011

The Korean economy have experienced the remarkable decreases in factor prices such as bond yields, real wage since the IMF foreign exchange crisis. This paper investigates the effects of the price changes in the factor markets on determining the level and cyclicality of industrial markups in the manufacturing industry. For this purpose, we construct a markup equation in the small open economy based on the production function including foreign intermediate goods and assuming constant returns to scale technology and AR(1) process of technological coefficient. Empirical results are summarized as the followings. The empirical results shows that the increased markups after the IMF crisis can be explained by the price decreases in the factor markets which result in lowering marginal costs. And we also observed counter cyclicality of markup, labor share and interest rates while real wages, technical coefficients, and production price index proved to be pro-cyclical. In conclusion, the price changes in factor market have contributed to the stickiness in markup fluctuation in the manufacturing industry.