• The Journal of the Korea Contents Association
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• v.11 no.3
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• pp.377-388
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• 2011

Different from earlier studies which investigated Chinese market from the perspective of macro strategy, this study compares importance of marketing-mix between Korean and Chinese consumers from that of basic marketing. As elements of marketing-mix for the comparison, product quality, brand, product price, atmosphere of a shopping store, advertising, and price discount are selected. The survey research was conducted to test hypotheses in major Korea and Chinese cities, Seoul, Pusan, Beijing, and Shanghai, from Jan. to Feb. 2010. A total of 315 respondents born in 1980s were interviewed individually by well-trained Chinese and Korean research assistants. Results show that the importance of the product price is higher among Chinese while the importances of the brand and the advertising are higher among Korean. It is also found that the product quality is evaluated more importantly among Chinese while the atmosphere of the shopping store is among Korean within .1 significance level. The mean difference of the importance of the price discount between both countries' consumers is not found statistically.

• Journal of Technologic Dentistry
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• v.16 no.1
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• pp.78-104
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• 1994

Under the fee for service schedule of Korean health insurance system, rational fee for dental laboratory products based on the cost is required to be formulated. The purpose of this study was to find actual cost of dental laboratory products in case of a University Hospital. Materials of this study were used as follows : 1. Balance sheet at Dec. 31, 1992 and profit and loss report of the year 1992 of the sample hospital 2. Performance report of dental laboratory department. 3. Purchasing and other accounting bills of dental laboratory materials. The following methods were used. 1. Actual cost finding of dental laboratory department was performed. 2. Work sampling methods were used for measuring standard working time by the process of working. 3. To porcelain fused to metal crown(non-precious), Relative value of the cost of dental laboratory products was calculated as 1.00. 4. Fee and cost of those products were compared on the basis of Relative values. The results of the study can be summarized as follow : 1. Overall, it took longs time than other items. to product denture-related items. 2. When several teeth are made in a time, average production time is much sorter than when one tooth is made in a time. 3. The relative price cost of Dicor cast crown and denture related items are higher than the criterion items. 4. The material cost occupies average 11% out of the total price cost, proportion of personnel expenses is average as 60.0%. 5. Some of the components consisting of the price cost are not reflected adequately in setting the level of the reimbursement price. 6. Relative values of dental laboratory products price cost are varied in the range from 0.05 to 2.83, overall, the reimbursement price of dental products appears not to reflect adequately the price cost. On the basis of this study results, the following ideas would be suggested : 1. Fee Schedule of dental laboratory products should be renovated in order to reflect their costs. 2. Dental laboratory product manufacturers should be enlarged for the economy of scale which may be useful for cost- containment. 3. Dental laboratory producters themselves are required to be standardiqed according to the categories of skill.

• The Research Journal of the Costume Culture
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• v.26 no.6
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• pp.951-965
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• 2018

The purpose of this study was to investigate the effect of perceived risk, community usage motive, and price sensitivity of customers who purchase children's wear directly from overseas on customer satisfaction. Specifically, this study is aimed at verifying the moderating effect of price sensitivity when perceived risk and community usage motive significantly influence customer satisfaction. A survey was conducted among consumers who experienced directly purchasing children's wear from overseas and engaging in communities. A total of 415 questionnaires were distributed, which 41 responses were insincere and excluded; thus, 374 responses were analyzed. Results of this study are as follows. First, the analysis on how perceived risk and community usage motive influence customer satisfaction reveals the significant influence of economic and social psychological risk on customer satisfaction. Moreover, informational, recreational, and social emotional usage motive have a significant influence on customer satisfaction. Second, the effect of perceived risk and community usage motive on customer satisfaction based on different levels of price sensitivity was verified. As a result, delivery and economic risks affect customer satisfaction for consumers with high price sensitivity. Moreover, recreational usage motive has a significant influence on customer satisfaction for high price sensitive consumers. In conclusion, perceived risk negatively impacts customer satisfaction. Therefore, it is essential to provide a system that can reduce the perceived risk of consumers who purchase children's wear directly from overseas.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.274-283
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• 2022

Korea is facing a number difficulties arising from rising housing prices. As 'housing' takes the lion's share in personal assets, many difficulties are expected to arise from fluctuating housing prices. The purpose of this study is creating housing price prediction model to prevent such risks and induce reasonable real estate purchases. This study made many attempts for understanding real estate instability and creating appropriate housing price prediction model. This study predicted and validated housing prices by using the LSTM technique - a type of Artificial Intelligence deep learning technology. LSTM is a network in which cell state and hidden state are recursively calculated in a structure which added cell state, which is conveyor belt role, to the existing RNN's hidden state. The real sale prices of apartments in autonomous districts ranging from January 2006 to December 2019 were collected through the Ministry of Land, Infrastructure, and Transport's real sale price open system and basic apartment and commercial district information were collected through the Public Data Portal and the Seoul Metropolitan City Data. The collected real sale price data were scaled based on monthly average sale price and a total of 168 data were organized by preprocessing respective data based on address. In order to predict prices, the LSTM implementation process was conducted by setting training period as 29 months (April 2015 to August 2017), validation period as 13 months (September 2017 to September 2018), and test period as 13 months (December 2018 to December 2019) according to time series data set. As a result of this study for predicting 'prices', there have been the following results. Firstly, this study obtained 76 percent of prediction similarity. We tried to design a prediction model of real estate transaction price with the LSTM Model based on AI and Bigdata. The final prediction model was created by collecting time series data, which identified the fact that 76 percent model can be made. This validated that predicting rate of return through the LSTM method can gain reliability.

• Environmental and Resource Economics Review
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• v.33 no.2
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• pp.135-157
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• 2024

In this study, we analyzed the changes in copper consumption according to copper price fluctuations and identified the domestic copper price elasticity. A total of 408 time series data from January 1989 to December 2022 were analyzed using the vector autoregressive (VAR) model with net import volume, price, and production index as variables. In addition, to identify changes in the correlation between variables over time, the dynamic relationship between variables was identified using the time-varying vector autoregressive (TV-VAR) model. As a result of the analysis, it was confirmed that the negative price elasticity for copper is -0.1835. In addition, the interquartile range was -0.3130 ~ 0.0886, with no consistent trend over time, but mainly negative elasticity. This study can be used to quantify the expected impact of various policy proposals and changes related to minerals.

• Korean Journal of Poultry Science
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• v.45 no.2
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• pp.73-79
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• 2018

The objective of this study was to calculate the unit price of an alternative feed ingredient for broiler chickens in consideration of the energy and nutritive contents in the feed ingredient by using a simple Excel worksheet. A corn-distiller's dried grains with solubles (corn-DDGS) was used as an alternative ingredient and corn and soybean meal as ingredients to be replaced. The net change of feed price was calculated based on the replacement values which were estimated in consideration of energy and nutrient concentration in feed ingredients used in the calculation, the price of feed ingredients and inclusion rate of the alternative ingredient. The nitrogen corrected apparent metabolizable energy(AMEn) and standardized ileal digestible AA including Lys, Met, Thr, and Trp, total Ca, and available P were employed as nutritive component to calculate the replacement values for individual feed ingredients. The equation for replacement was 1 ${\times}$ corn-DDGS + 0.0334 ${\times}$ soybean oil + 0.0182 ${\times}$ Limestone = 0.8893 ${\times}$ corn + 0.13 ${\times}$ soybean meal + 0.0004 ${\times}$ Lys + 0.0022 ${\times}$ Met + 0.0005 ${\times}$ Trp + 0.0028 ${\times}$ Thr + 0.0264 ${\times}$ dicalcium phosphate. The replacement price of corn-DDGS was calculated to be 270 won/kg when the inclusion rate was 15% and the energy and nutrient contents were considered in the calculation. In conclusion, the Excel-based ingredient price calculator may be useful to determine the economic value when an alternative feed ingredient is used in diets fed to broiler chickens.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.511-521
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• 2020

The purpose of this study is to research the effects of the same brand item sold online at different prices. To that end, the exploratory study is focused on four factors that influence price dispersion online is suggested. First, the products are divided into utilitarian products and hedonic products in line with the product concept, and laptops, washing machines are included in the utility concept products. Also the backpacks and sneakers are included in the hedonic concept products. A total of 400 effective objectives were selected and analyzed for each concept products, 200 objectives. The research analysis revealed that the price dispersion is significant relationship with an average price, the highest price, the lowest price, the year of release, the number of retailers, and the number of reviews in case of the utility concept product. On the contrary, in case of hedonic concept products, average price, highest price, lowest price, year of release, retailer, and reviews and ratings is found to be positively related to price dispersion. Based on these results, theoretical and practical implications are discussed about the influence price dispersion on marketing.

• Journal of Korean Institute of Industrial Engineers
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• v.33 no.1
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• pp.33-43
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• 2007

The pickup and delivery problem with time windows generally involves the construction of optimal routeswhich satisfy a set of transportation requests under pairing, precedence, time window, vehicle capacity, andavailability constraints. In this paper, we added some constraints to the problem and adopted an objectivefunction based on number of used vehicles, total travel distance and total schedule duration to consider morerealistic problems. A branch and price algohthm for the problem is proposed and an enumeration method is usedfor the subproblems. The algorithm was tested on randomly generated instances and computational results werereported.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.7-10
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• 2003

After the launch of PCS in 1997, price competition between five mobile carriers was so severe that the Korean mobile telephony market achieved a remarkable subscriber base growth. But in that optimal pricing behavior depends on how each fm is likely to react to other frims'choice of price, it is very interesting to analyze competitive pricing behavior and understand market structure in terms of pricing competitiveness in the Korean mobile telecommunications market. In this paper, we use structural econometric models in New Empirical Industrial Organization (NEIO) framework. But previously used models in this framework generally assume that market size is fixed and that all firms maximize their profits. To fit in with the Korean mobile telephony market, we derive various models in using NML market share model under the assumptions that market size varies with industry's total attractions and that firms maximize their market share. In this paper, we find that the model under market share maximization with the assumption that market size varies with total attraction shows the best fitting results.

• Journal of the Korean Operations Research and Management Science Society
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• v.33 no.1
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• pp.19-33
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• 2008

In the previous double auction research for the market optimization, two basic assumptions are usually applied - (1) each trader has a linear or quasi-linear utility function of price and quantity, and (2) buyers as well as sellers have identical utility functions. However, in practice, each buyer and seller in a double auction market may have diverse utility functions for trading goods. Therefore, a flexible and integrated double auction mechanism that can integrate all traders' diverse utility functions is necessary. In particular, the flexible mechanism is more useful in a synchronous double auction because traders can properly change utilities in each round. Therefore, in this paper, we propose a flexible synchronous double auction mechanism in which traders can express diverse utility functions for the price and quantity of the goods, and optimal total market utility is guaranteed. In order to optimize the total market utility which consists of multiple complex utility functions of traders. We show the viability of the proposed mechanism through a several simulation experiments.