• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.2
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• pp.117-128
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• 2020

The aim of this study was to examine price sensitivity of industrial products purchased via a group buying system and how industrial products for a group buying system differ from general industrial products, and then identify the major factors in selecting products and the important determinants in purchasing industrial products for school foodservices. The survey was conducted with 250 dietitians (teachers) in Gyeonggi-do Province, who were using industrial products for a group buying system and general industrial products. A paired t-test showed a difference in satisfaction between industrial products for a group buying system and general industrial products by factors, while statistically significant differences were found for red pepper paste, fermented soybean paste and soy sauce in all nine satisfaction factors, including product quality, packaging state, labeling, hygiene, item diversity, specification diversity, price appropriateness and supply. Moreover, analyzing price sensitivity for industrial products for a group buying system, using the PSM method with respect to the issue of high price, showed that the respondents considered that the current unit purchase prices were high for all items investigated. This study suggests that schools would purchase more industrial products for a group buying system, when the pricing of the products are considered with the purchase intention of dietitians (teachers).

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.11a
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• pp.207-208
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• 2019

Currently, as the public interest for environmental issues has grown rapidly, the needs for G-SEED have also increased. However, as investment according to eco-friendly elements is inevitable to receive G-SEED certification, it is necessary to find out whether or not the sales price of apartments have increased compared to investment costs. Therefore, the objective of this study is to analyze the sales price of apartments according to G-SEED by using T-test. To achieve the objective, First, variables affecting on the sales price of apartments are selected. Second, the data are collected by using GIS(Geographic Information System). Third, after testing the normality, a comparison analysis is conducted on the sales price between G-SEED certified and non-certified apartments by using T-test. As a result, it is concluded that G-SEED certified apartments are more expensive than non-certified apartments. In the future, these findings can be utilized to develop of apartments price calculation model based on the G-SEED.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.4
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• pp.498-509
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• 2000

This study is designed to find out the effects of price on the consumers'perceived quality, value and purchase willingness of clothing in order to get the basic information that is needed in helping clothing manufacturer's strategy for merchandising promotion on price. This study was conducted by means of a questionnaire survey of university students in seoul. SAS program was used for analysis. The conclusions of this study as follow: first, with respect to the price level of clothing, consumers evaluate the perceived quality of high-price case higher than that of low-price case, and evaluate the perceived value and purchase willingness of low-price case higher than those of high-price case. Second, with respect to the brand name level of clothing, consumers evaluate the perceived quality, perceived value and purchase willingness of well-known brand case higher than those of unknown brand can. Third, the interaction between price and brand dosen't appear. Thus from this result we can know that price and brand have the same amount of effect in both single-quo case and multi-que case. Forth, with respect to the price and brand name level of clothing, there exist significant differences in perceived quality, perceived value, and brand name level. Fifth, in the study of the relationship between perceived quality and purchase willingness and the relationship between the perceived value and purchase willingness, perceived value has more effect on purchase willingness than perceived quality.

• Fashion & Textile Research Journal
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• v.7 no.6
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• pp.594-600
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• 2005

This study investigated adolescents' shopping orientation and price perception according to socio statistics and their experience of internet shopping mall. We distributed the questionnaire to 411 high school students in near Seoul. In the order of high shopping orientation, they showed 'compare products', 'enjoy as leisure', 'shop loyalty', 'discount shopping', and 'brand shopping' orientation. In the order of high price perception, they showed 'economic', 'value', 'brand-quality', and 'price knowledge'. The higher in 'shop loyalty', 'enjoy as leisure' in the shopping orientation, the higher in the price concept of 'price knowledge'. Adolescents who have experience to shopping through internet shopping mall, have the higher enjoy as leisure, shop loyalty, compare products' in shopping orientation, and the higher 'economic, price knowledge' in price perception than those who have not. Socio-statistics parameters are found to affect adolescents' shopping orientation and price perception. Adolescents had average scores in 'shop loyalty', while they had high scores in 'compare products'. Thus, in order to have superior position in adolescent's market, detailed product specification and information are necessary to enhance their shop loyalty. Adolescents thought the price was economical, and they had less concept in 'price knowledge' due to their position. Unlike adults, adolescent's gender does not have effects on their 'economic concept. Male students also had high scores in 'economic concept' as much as female students did.

• Journal of the Korean Data and Information Science Society
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• v.25 no.1
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• pp.65-76
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• 2014

Housing prices are influenced by external shock factors such as real estate policy or economy. Thus, the intervention effect is important for the development of forecasting model for housing price index. In this paper, we examined the degree of effective power of external shock factors for forecasting housing price index and analyzed time series models for efficient forecasting of housing price index. It is shown that intervention models are better than other models in forecasting results using real data based on the accuracy criteria.

• Journal of the Korean Data and Information Science Society
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• v.18 no.1
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• pp.41-50
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• 2007

This study attempts to test the lead-lag relationship between the stock price and the business indicator in the multivariate context. It additionally investigates the short and long-run dynamic relationships among the four market variables. The hypothesis that the stock price leads the business indicator is found to be rejected for the whole study period. When structural change is considered, the statistical result appears to reflect the reality. The causal relationships among the variables in the former period are simpler than those in the latter period, and the stock price significantly appears to lead the business indicator. On the other hand, the relationship between the stock price and the business indicator in the latter period appears to prove the recent hypothesis of their coincidence.

• Fashion & Textile Research Journal
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• v.3 no.1
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• pp.61-69
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• 2001

The purpose of this study was to analyze the purchasing behavior related factors of Small Store User in Yhasi street of Dong-Sung Ro, Daegu. Frequency, $X^2$-test MANOVA, ANOVA and Duncan multiple range test were used to analyze the sample. The results of this study were as follows: 1) The largest sample were as follows: un married female, college students of twenties, 101-200 thousand won for salaries. 2) The factors of purchasing behavior were classified into 8 factors, enjoy shopping, store image, unique goods, culture space, salesperson, low price, information seeking, value via price orientation. 3) There were significant differences found between attitude on information source, number of seeking store, music in shop, music sound, size, display, price, street, in their factors of purchasing behavior (unique goods, value via price, low price, store image, enjoy shopping) 4) There were significant differences found between demographic characteristics (personal sales, location, transportation) in their factors of purchasing behavior (salesperson, cultural space, store image).

• Journal of the Korea Society of Computer and Information
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• v.22 no.11
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• pp.111-116
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• 2017

This paper proposes a data mining approach to predicting stock price direction. Stock market fluctuates due to many factors. Therefore, predicting stock price direction has become an important issue in the field of stock market analysis. However, in literature, there are few studies applying data mining approaches to predicting the stock price direction. To contribute to literature, this paper proposes comparing single classifiers and ensemble classifiers. Single classifiers include logistic regression, decision tree, neural network, and support vector machine. Ensemble classifiers we consider are adaboost, random forest, bagging, stacking, and vote. For the sake of experiments, we garnered dataset from Korea Stock Exchange (KRX) ranging from 2008 to 2015. Data mining experiments using WEKA revealed that random forest, one of ensemble classifiers, shows best results in terms of metrics such as AUC (area under the ROC curve) and accuracy.

• Management & Information Systems Review
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• v.36 no.1
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• pp.21-40
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• 2017

This study is to examine the effects of marketing communications strategies which are also buying brand image and beauty services supplier discount information on consumer attitudes. Beauty service providers will have to consider that price discounts are worried impact on the brand image and purchase intentions. In this study, an empirical analysis demonstrated the impact on the brand image, price discount and discounts way. Discount in this study was shown to negatively affect the brand image, there is also a purchased showed a positive impact. Therefore, the proposed price reductions only way to save off the asking price was lower this distinction and professionalism. On the other hand, intent-upon price discount were positive. If such a price discount if the discount just present attitude towards the use of low discount rates but suggested it was found that the intent is absolutely high.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1471-1479
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• 2017

The variability of trade price index of apartment influences on the various aspect, especially economics, social phenomenon, industry, and culture of the country. In this article, the autoregressive error (ARE) model has been considered for analyzing the monthly trading price index of apartment data. About 16 years of the monthly data have been used from September 2001 to May 2017. In the ARE model, six macroeconomic variables are used as the explanatory variables for the rade price index of apartment. The six explanatory variables are mortgage rate, oil import price index, consumer price index, KOSPI stock index, GDP, and GNI. The result has shown that trading price index of apartment explained about 76% by the mortgage rate, and KOSPI stock index.