• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.6
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• pp.635-642
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• 2003

The purposes of this study were to explore the consumer attitude toward the retail sales, to examine the relationships between the sale attitude and the price-related variables(i.e., price consciousness, sales proneness, and value consciousness), and to examine the effects of the sale attitude and the price-related variables on the perceived price value during the retail sales. Data were collected from 790 undergraduate students using the two types of questionnaires representing the sale and non-sale situations, and 776 responses were analyzed. Factor analysis of the sale attitude extracted five dimensions including price benefit, limited product assortment, impulse buying, low service quality, and disordered store atmosphere. The price benefit and the impulse buying factors were related with all the 3 price-related variables, and all the sale attitude factors were related with the value consciousness. The price benefit and the impulse buying factors positively affected the perceived price value under the sale situation.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.249-250
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• 2016

Korean government has announced declared prices of apartment reflecting market condition each year. Therefore, on that basis, apartment owners have used as basic data trading apartments and the government has been used to calculate the tax. However, the sales prices and declared prices of apartment has occurred difference depending on the region and the brand. This study has analyzed and compared regional differences in sales price of apartments. The results of this study, we have known that sales price of apartments was a big difference depending on the region and the gross area. Especially, Seoul and Gyeonggi Province are the highest. And sales price of Southeast and urban area are the highest in Seoul. In the future, it is necessary that gap analysis between sales price and declared prices of apartment. And It is needed to develop apartment index considering the region and the gross area.

• 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.

• Smart Media Journal
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• v.11 no.3
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• pp.62-73
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• 2022

Researches on the prediction of domestic apartment sales price have been continuously conducted, but it is not easy to accurately predict apartment prices because various characteristics are compounded. Prior to predicting apartment sales price, the analysis of major factors, influencing on sale prices, is of paramount importance to improve the accuracy of sales price. Therefore, this study aims to analyze what are the factors that affect the apartment sales price in Gwangju, which is currently showing a steady increase rate. With 6 years of Gwangju apartment transaction price and various social factor data, several maching learning techniques such as multiple regression analysis, random forest, and deep artificial neural network algorithms are applied to identify major factors in each model. The performances of each model are compared with RMSE (Root Mean Squared Error), MAE (Mean Absolute Error) and R² (coefficient of determination). The experiment shows that several factors such as 'contract year', 'applicable area', 'certificate of deposit', 'mortgage rate', 'leading index', 'producer price index', 'coincident composite index' are analyzed as main factors, affecting the sales price.

• Journal of the Korean Operations Research and Management Science Society
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• v.31 no.2
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• pp.157-167
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• 2006

Estimating the effects of price increase on a company's sales is important task faced by managers. If consumer has prior information on price increase or expects it, there would be stockpiling and subsequent drops in sales. In addition, consumer can suppress demand in the short run. These factors make the sales dynamic and unstable. In this paper we develop a time series model to evaluate the sales patterns with stockpiling and short-term suppression of demand and also propose a forecasting procedure. For estimation, we use panel data and extend the model to Bayesian hierarchical structure. By borrowing strength across cross-sectional units, this estimation scheme gives more robust and reasonable result than one from the individual estimation. Furthermore, the proposed scheme yields improved predictive power in the forecasting of hold-out sample periods.

• Journal of Korea Technology Innovation Society
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• v.3 no.3
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• pp.85-101
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• 2000

The purpose of this study is to test whether prices of personal computers reflect their varying degrees of non-marketable characteristics including after-sales service. This purpose is carried out using the hedonic price model. In this paper, we estimated 74 functional forms of hedonic price model using the quadratic Box-Cox transformation function and selected one based on the three criteria: expected signs, the statistical significance of estimated coefficients, and goodness of fit in terms of root-mean-square-percentage-error. In this study, we found hat as the after-sales service level increases the price of the personal computer increases. This result is consistent with the hypothesis that the less after-sales service offered with a personal computer, the less consumers are willing to pay for the personal computer, when all else remain constant. This finding shows that since the market works indirectly to influence pricing, the need to rely on consumer protection legislation to guarantee after-sales service is lessened. This study also found that after-sales service supported by each personal computer producer is not a free service, thus produces have a profit incentive for providing after-sales service.

• Journal of Distribution Science
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• v.7 no.2
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• pp.29-44
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• 2009

The aim of this study was to theoretically examine the current status of TV home shopping business entities' expansion of business structure, and then look into TV home shopping business entities' preparation for the future business in their mature period. For this, the investigator examined literature home and abroad and then empirically carried out an experimental sale of household goods by selecting a model TV home shopping business entity. In order to understand current business structure of TV home shopping and increase sales, the investigator has changed price and then induced sales, focusing on the price of household goods. Study findings are as follows: As for the influence of TV home shopping household goods' price upon its sales, because TV home shopping business entities set in advance an efficiency unit-price per broadcast hour and carry out a sales strategy of reaching out the efficiency, they try to keep their sales with discounted price in the real sales setting of TV home shopping. But it is not an exclusive practice. General promotion became a common practice. The price of goods is the same with its life. Continuous discount events lower the reliability of goods and its supplier must bear the result. Overall sales after experiment increases by 13% and the sales efficiency also increases by 9%. Sales amount increases by 9% and a stable sales which is above average is achieved. The number of sales goods keeps 100%.

• International Journal of Advanced Culture Technology
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• v.6 no.3
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• pp.151-162
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• 2018

In deriving the economic order quantity (EOQ) formula, it is tacitly assumed that the buyer has to pay product price while receiving the product from the supplier. However, as a marketing policy, some suppliers permit a delay in payments to the buyers to increase demand for the product they made. Credit transactions would have a positive effect on both suppliers and buyers. For a supplier who offers trade credit, it is an effective means of price differentiation to increase the demand for the product. Availability of opportunity to delay the payment in buyer effectively reduces the cost of holding stocks and therefore, the buyer has a lot of price options to choose his sales price for a customer. Since the buyer's order is affected by the customer's demand, the problems of determining the sales price and EOQ are interdependent and must be solved simultaneously. From this perspective, this paper evaluates the problem of determining the optimal sales price and EOQ for the buyer at the same time when the supplier allows a delay in payments for the product whose demand is represented as a function that decreases linearly with the sales price. For the analysis, it is also assumed that inventory is exhausted not only by customer's but also by decay.

• Journal of Platform Technology
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• v.6 no.2
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• pp.10-18
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• 2018

The purpose of this study was to empirically analyze relations between color changes in the product specification and demand changes with price elasticity in the Chinese mobile phone market. In previous studies on price elasticity, the usual analysis units were product categories or SBU within a given product category. Unlike them, the this study set an analysis unit of price elasticity to focus on colors, which are investigated in the research fields of experiential marketing, aesthetic marketing, and cognitive psychology. Actual sales data according to the mobile phone price changes by the color were based on the sales volume of a sales agency at China's largest B2C site. The findings were as follows: first, price elasticity according to the six colors was higher than the absolute value of 1, which means that demands made flexible reactions to price changes. Secondly, there were differences in price elasticity according to the colors. Aroma white color made the smallest increase in sales volume at the same price discount, whereas diamond color made the biggest increase in sales in the same price discount scope. These findings indicate that more profit can be generated in mobile phone sales in China by setting different price discount or increase rates according to colors or producing different amounts of mobile phones according to colors. Distributors or sales agents can have a chance for higher profit by ordering and selling mobile phones in certain colors than others from mobile phone manufacturers. The academic findings indicates that there are differences in preference and price elasticity according to colors under the mobile phone category in the Chinese market, which means that the present study made an academic contribution by proposing a microscopic analysis unit for product price elasticity and expanding its concept.

• Korean Journal of Construction Engineering and Management
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• v.20 no.5
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• pp.3-11
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• 2019

This study is designed to examine the stock price of construction firms which are affected by the deregulation of new apartment sales price. As empirical methodology, it uses the traditional event study analysis to test the influence of the deregulation of new apartment sales price and the regression analysis to test which variables are related. The results of this study are summarized as follows : First, the cumulative abnormal return of stock is positive when government announced the deregulation of new apartment sales price. The cumulative abnormal return of stock for 21 trading day before -10 to +10 day is 25.51% which is significant different from zero at 1 percent level. This result suggests that the deregulation of new apartment sales price conveys good information to stock market that the firms performance will be good in the future. Second, in the regression analysis this study shows that the cumulative abnormal return of stock is related to firm's profit margin ratio.