• Journal of the Korean Society of Costume
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• v.55 no.5 s.95
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• pp.43-54
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• 2005

This study was designed towards female college students to find out how increasing promotional marketing means are affecting the evaluation of clothing products; qualify perception, value perception, and purchase intention. 704 female college students participated in this study and SPSS package was used to analyze gathered data. The results of this study were as follows: First, the use of sales promotional means and preference had a significant difference among students demographic factors(residence, whole Income of the family, allowance, and clothing expenses). Second, qualify perception, value perception, and purchasing intention were the three factors of clothing product evaluation. Third, normal price and $30\%$ sale price clothing was perceived as high quality product and $50\%$ sale price clothing was perceived as high valued product. Purchasing intention was high when low price was suggested or promotional gift was given. Fourth, when considering product price as the factor of product evaluation, there were significant difference between the prices of product. And also, considering the product price, there were significant difference among factors of product evaluation and sales promotional means. Fifth, there was significant correlation between qualify perception, value perception, purchasing intention, usage and preference of promotional means. Further more, value perception was main factor that affected purchasing intention.

• Journal of Digital Convergence
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• v.15 no.1
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• pp.181-189
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• 2017

The purpose of this research is to set a standard for deciding competitive marketing prices of new supplying apartment houses and to analyze decision factors in sale price of supplying apartment houses with Analytic Hierarchy Process; the resulted model does not use the method that joins the land cost and the cost of construction together, but the method that compares the sales prices of surrounding apartments. This research tries to set a standard for decision of the prices of newly supplying apartment houses by classifying the determinants into the $1^{st}$ step(4 factors), the $2^{nd}$ step(9 factors), and the $3^{rd}$ step(25 factors). According to the process, the relative importance of decision factors in the sale prices is determined and this should be used as the index of sale prices for newly supplying apartment houses when the houses are provided. In addition, through the $2^{nd}$ step including 9 factors, the comparative model for sale prices is defined and the model is presented to be applied in the real business. Subsequent study additionally considering the factors apart from marketing which tries to find a generalized standard needs to be conducted.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.6 no.1
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• pp.1-14
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• 2003

In this study, to take the object of this thesis on understanding the characteristics on marketing structure and marketing distribution of landscape materials after consideration in the side of prices trends which is important factors for analysis in understanding the market of landscape materials. To do this, Analysis is divided into the prices trends. The investigation of prices trends and marketing distribution are to collect data refer to purchases and sales reports, these results are used to analyzed the operative factor of forming market structure. The periodic range of this thesis is limited from 1996 to 2000 and analytic articles is limited on 609 landscape materials(planting materials : 567 articles, facility materials : 7 articles, the other : 35 articles). The results of the whole prices trends and marketing distribution survey can be summarized as follows : 1. Prices trends of showing 3 types of landscape materials : In cases of planting, facility and the others materials, the annual average increasing rate of the index number of price was 3.1%, 3.4%, 3.1% while the KPRC(Korea Price Research Center) price was 3.98% for the past five years. 2. GSP(Government Specified Prices) Prices trends of showing 3 types of landscape materials : In cases of planting, facility and the others materials, the annual average increasing rate of the index number of price was 3.7%, 1.2%, 2.6% while the KPRC(Korea Price Research Center) price was 3.98% for the past five years. This increase indicates a small price margin, particularly, the GSP price of planting materials should be adjusted to a realistic level. 3. Native and exotic product Prices trends of showing 3. types of landscape materials : In cases of Native planting, facility and the others materials, the annual average increasing rate of the index number of price was 3.2%, 3.2%, 3.6% while cases of exotic was 3.1%, 1.0%, 5.8% for the past five years. The index number increase of prices of exotic landscape materials were fluctuated more than those the native landscape materials.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.113-114
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• 2007

For restructure of korean power system, we needs research and development concerning RTP and Revenue Reconciliation. In these Implementations the real-time prices are updated at half-hourly or hourly intervals and in no case are the prices spatially differentiated. The implemented rates are based upon marginal generating costs with markups to account for system transmission and distribution costs or other revenue reconciliation needs. This paper analyzes how great is the impact of alternative price markup methods on measures of social welfare and customer responses. A case study and energy sales are also presented.

• The Journal of Fisheries Business Administration
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• v.51 no.4
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• pp.69-83
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• 2020

The purpose of this paper is to empirically investigate whether asymmetric price transmission exists in the distribution stage of farmed olive flounder market. For the analysis, time series data were used for the producer prices of Jeju and Wando, and the wholesale prices of Incheon, Hanam and Busan. Through the Granger causality test, the causal relationship from the producer price to the wholesale price was derived and the asymmetric price transmission was analyzed using the autoregressive distributed lag model (ARDL). As a result of the analysis, it was found that there is a phenomenon of 'positive asymmetric price transmission' from the producer price to the wholesale price. This result can be one evidence that excess profits are received in the intermediate distribution stage, and can be said to be a result showing the incompleteness and inefficiency of the distribution structure of the farmed olive flounder. In the future, it is required to establish an information-sharing system in all stages of production, distribution, and consumption that can create a competitive environment for distribution participants and resolve information asymmetry. Also, it is necessary to review the distribution center specializing in live fish from the viewpoint of the establishment of new distribution channels and sales diversification strategy under the rapidly changing fisheries environment.

• Journal of KIBIM
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• v.10 no.3
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• pp.54-62
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• 2020

There is growing consensus among planners and policymakers that brownfield remediation has positive impacts on neighborhoods in terms of housing prices, public health, and environmental quality. However, there is a limited understanding of how brownfield redevelopments spatially affect neighborhood housing turnover and stability. This paper addresses the spatial impacts of brownfield redevelopments on neighboring housing turnover in Cuyahoga County, Ohio. This study examines housing turnover before and after the remediation of brownfield sites countywide and in housing submarkets stratified by household income. Based on housing sales data between 1996 and 2007, the extended Cox Hazard model with the difference-in-difference approach is employed to clarify the causal relationships between brownfield redevelopments and neighboring housing turnover. Additionally, along with the results of the previous study examining impacts of brownfield remediation on nearby housing prices, this paper estimates the change of neighborhood stability due to brownfield redevelopments based on both attributes of housing prices and turnovers.

• Journal of KIBIM
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• v.11 no.2
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• pp.43-53
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• 2021

The 'public agency oil joint purchase system' was introduced to lower public sector oil prices and contribute to the stability of the overall consumer oil market. The present study used spatial regression to analyze the factors affecting domestic gasoline price, focusing on the impact of potential implicit collusion among gas stations in determining domestic gasoline prices. Also, this study investigated the effect the location characteristics of the market convention gas stations and government offices on the pressure of price competition in the market and the gasoline price at general gas stations. To summarize the results of the spatial lag model (SLM), the individual characteristics of gas stations such as convenience stores (+), self-fuelling (-), commercial areas (+), subway stations (+), population density (-), and sales (-) are correlated to gasoline prices at gas stations, and the institutional location factors of gas stations (+) affected the average of 9 won per liter, 11 won per liter. In order to solve these problems, the establishment of a monitoring system reflecting the location characteristics of the region and the ongoing review of the system should be carried out. In addition, separate, expanded and promotional measures should be prepared for the convenience of general and public oil buyers.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.05a
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• pp.151-152
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• 2021

The sale price of apartment buildings is a key factor in the success or failure of apartment projects, and the factors that affect the sale price of apartments vary widely, including location, environmental factors, and economic conditions. Existing methods of predicting the sale price do not reflect the nonlinear characteristics of apartment prices, which are determined by the complex impact factors of reality, because statistical analysis is conducted under the assumption of a linear model. To improve these problems, a new analysis technique is needed to predict apartment sales prices by complex nonlinear influencing factors. Using machine learning techniques that have recently attracted attention in the field of engineering, it is possible to predict the sale price reflecting the complexity of various factors. Therefore, this study aims to conduct a basic study for the development of a machine learning-based prediction model for apartment sale prices.

• Journal of Navigation and Port Research
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• v.41 no.4
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• pp.181-188
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• 2017

In the existing ship sales market, prices determined based on the prices of similar ship types that recently traded. ince the 2008 financial crisis, ship prices have fluctuated, and ship price criteria have become ever more necessary to the imminent value of the ship. Therefore, this research used the hedonic price model to estimate imminent values of ships. In this study, the influence on ship prices was analyzed by the value of each characteristic and an estimated functional formula was. Out of the four models suggested by the hedonic price model, an optimal model was selected with variance inflation factors and a stepwise selection. For this, the influence of determinants of ship prices was analyzed based on actually traded ships and characteristic data. The selected model s the Log-Line model; as a result of regression analysis, eight variables, including DWT, Age, Market Value, Short-Term Charter, Long-Term Charter, Enbloc, Special Survey Due and Builder were to affect the ship price model. This model is expected to be useful for objective and balanced ship price evaluation.

• Journal of Distribution Science
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• v.13 no.3
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• pp.51-60
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• 2015

Purpose - Among potential marketing strategies, the most efficient method to encourage purchase intention is through sales promotions. Sales promotions also serve to enhance customer satisfaction, which is closely related to the incidence of repurchases. Therefore, the success of retail stores greatly depends on the effectiveness of their promotional activities. The present study aimed to obtain the necessary information for apparel stores to establish more effective promotional activities. To this end, the study's specific research questions were to examine 1) consumer satisfaction with the recent sales promotions of retail apparel stores, 2) the levels of consumer preferences for different types of sales promotions (cash discounts, promotional gifts, prize drawings, discount coupons, stamp cards, or mileage cards), and 3) the differences in purchase intention according to preference levels for different types of sales promotions. Research design, data, and methodology - The research employed a descriptive survey method using a self-administered questionnaire. The sample consisted of 700 men (n=234) and women (n=466) ranging in age from their 20s to their 50s and residing in the Seoul area. Data were analyzed through methods including factor analysis as well as Cronbach's α coefficients, the t-test, ANOVA, and the Duncan test. Results - Differences among consumer preferences were identified for each type of sales promotion according to the purchase amount and the customer's age. In relation to purchase amounts below 500,000 won, participants in their 50s have lower preferences for price discounts than those in their 20s or 30s, whereas participants in their 40s or 50s have lower preferences for stamp cards and mileage cards than those in their 20s. When the purchase amount is greater than 500,000 won, housewives have higher preferences for promotional gifts than respondents with other occupations. However, no gender differences were found with regard to preference levels for the different types of sales promotions. Respondents generally exhibited mediocre satisfaction with the sales promotion events of retail apparel stores. They also expressed negative opinions about sales promotions when such promotions lead to high prices, as well as dissatisfaction with the poor quality of promotional gifts. It was also found that, regardless of the purchase amount, the groups with higher preferences for discount coupons and mileage cards displayed higher purchase intentions. Only when the purchase amount is greater than 200,000 won did the group with higher preferences for lottery system promotional gifts express higher purchase intentions. On the other hand, for all purchase amount sizes, there were no differences in purchase intentions according to preferences for cash discounts, promotional gifts, or stamp cards. Conclusions - The results revealed that greater effort must be devoted to enhancing consumers' satisfaction levels with the promotional activities performed by apparel retail stores. The results also showed that it is necessary to differentiate among sales promotion strategies according to preference levels for different types of sales promotions, purchase amounts, and target consumer ages.