• Culinary science and hospitality research
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• v.6 no.2
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• pp.123-134
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• 2000

The food service industry represents one of Korea's fastest-growing and most challenging areas of business but it is at the beginning of the industry. Italian cooking of the food service industry has a lot of merits but it is difficult to manage because of the shortage of domestic customers and the poor management of the industry. This research suggests the marketing strategies in order to systematize Italian food service satisfy the customers requirements and promote the sale of Italian food. The circulation structures should be simplified and systematized in order to enhance the quality of the food and lower the price. Italian food should be recognized as health food cooked with unsaturated fatty acid, olive oil. It is necessary that the Italian food for the Korea especially for the women and children be developed. The information about Italian food the advertisement of it should be structured because 13 percent of Italian food sale has dropped in the current environment.

• The Korean Journal of Community Living Science
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• v.19 no.4
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• pp.697-706
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• 2008

Generally, tourism environments are classified as macro or micro environments. Hotel revenues are influenced directly and indirectly by macro and micro environments. This study aims to examine the determinants of the change in macro-environments on hotel revenue. The explanatory variables in this research were wage, exchange rates (ER), consumer price index (CPI) and seasonality. The results of this study were as follows; The CPI and ER significantly affected the hotel food and beverage sales. The seasonality (summer and autumn) and wage significantly affected the hotel room sales. Wage and seasonality (summer and autumn) also significantly affected the total sale on the hotels.

• Korean Journal of Construction Engineering and Management
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• v.22 no.4
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• pp.59-65
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• 2021

Since the 2016 "Housing Act Partial Amendment" and the "2018 Housing Comprehensive Amendment Plan", interest in the pre sale system and post sale system of apartment houses has been on the rise. In order to compare the advantages and disadvantages of the pre sale system and the post sale system of apartment houses, and to establish the basis for the institutional policy of the post sale system, a questionnaire survey method was used for tenants of the apartment house from the public side, and issues of time and cost. The time series analysis method is intended to suggest an appropriate time for payment of contributions. Accordingly, through a review of existing theories and literature, the post sale system of public and private institutions was organized, and through a questionnaire survey, the path to securing pre sale money, product information of the model house, and the degree of awareness of the effect of the post sale system were investigated. For the post sale fund support and payment method, it is necessary to increase the commercial line for existing financiers from the user's point of view, and it is necessary to operate in consideration of the economic power of the pre sale market by region. Both 60% post sale and 80% post sale have a price range of up to KRW 10 million, and the total interest rate is 5.0%, and the annual interest rate is about 2.8% for 60% post sale, and about 2.1% for 80% post sale, which is lower than the current 3.1%. I need an interest rate. The research is a perception survey targeting a total of 5,213 households in a sample of after sale apartments in public institutions. As the actual values are analyzed using a time series on the effects of market supply and demand and market prices, there is a limit to applying them to prospective residents of private apartments. In addition, to respond to first time tenants, a questionnaire survey was conducted on five complexes that have moved in within the last five years.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.12
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• pp.201-225
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• 1999

This article is focused on the review of price reduction and measuring damages under the CISG together with the law relating to sale of goods in main countries when the goods delivered did not conform with the contract. And also reviewed on the election of remedies for the aggrieved party, that is, which one between the two remedies would provide more compensation for the non-conformity. This article can be summarized as below. 1. Price reduction has its principal significance when the buyer accepts non-conforming goods and plays important role only when the seller is not liable for the non-conformity because the same price reduction formula applies for all circumstances. Of course, the buyer must bear any further damages, such as shutdown expenses and other consequential damages. 2. If the seller is liable for the damages and the price level rises, the buyer normally will claim damages since this approach is much more favorable result than price reduction. 3. In case the seller is liable for the damages and the buyer suffers no consequential damages, if the price level falls, price reduction would provide more compensation for the non-conformity than would damages and if there is no change in the market level, the allowance for defects in the goods will be normally the same under the price reduction and damages. By the way, In case the seller is liable for the damages and the buyer suffers consequential damages, it is desired that the buyer firstly elect the price reduction and later seeks to claim for consequential losses when the price level falls and unchanged.

• 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.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.67
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• pp.1-21
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• 2015

U. N. Convention on Contracts for the International Sale of Goods (hereinafter the 'CISG' or the 'Convention') has been in force more than 37 years. The CISG responds to the need for uniform sales law. First of all, the biggest barrier against the uniformity in sales law is so-called "homeward trend". Professor Honnold, who served as secretary of UNCITRAL during the time in which the CISG was developed, pointed out the danger of "homeward trend" like this in his Article. "One threat to international uniformity in interpretation is a natural tendency to read the international text through the lenses of domestic law." CISG Article 79 is the principal provision governing the extent to which a party is exempt from liability for a failure to perform any of his obligations due to an impediment beyond his control. So-called 'Manfred Forberich' decision regarding the article 79 represents the most extreme example of what is likely the most dangerous error that tribunals applying the CISG can make. CISG Article 79 only governs impossibility of performance, and there is a controversy whether a disturbance which does not fully exclude performance, but it considerably more difficult or onerous(hardship, change of circumstances, economic impossibility) can be considered as an impediment. Unlike PICC and PECL, the CISG governs contract of sale. Therefore, events such as a sudden increase in the price of raw materials or a dramatic devaluation of currency, will not allow the seller to avoid his liability for non-delivery of the goods or to require renegotiation of the terms of the contract of sale. We should bear in mind that the CISG should be interpreted and applied in the context of the CISG itself.

• Journal of the Korean housing association
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• v.14 no.4
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• pp.109-119
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• 2003

This paper has examined a resident's feeling of satisfaction on residential environment. It has searched a policy direction to improve the quality of residential environment with three models in which what factors have an influence on the resident's feeling of satisfaction is evaluated. First, when the residents were asked why they chose lease APT, Low price was answered the most between two populations. Second, with regard to the feeling of satisfaction by categories, both populations showed similar results. The social prejudice on lease APT such as disadvantage on their children and unfavorable surroundings that has been engraved in people's mind about lease APT for a long time was never an issue any more. Third, when the two populations were examined by regression analysis with three models in terms of what factors had an effect on the feeling of satisfaction, there was no big difference in each effect of variables. Internal environment was a key variable for lease APT while external environment was a core variable for the APT that is converted into installment sale. In order to enhance the feeling of satisfaction on residential environment for lease APT residents, high quality turned out the most important factor between both populations, and then a loan with low interest rate and high average standard of APT followed. As unsatisfactory items, low cultural level, slowness in repairing works, and unsatisfactory finishing work were pointed out with regard to the low quality of internal facilities. In general, it turned out that the APT that was converted into installment sale was more preferable than lease APT. As known in this analysis, housing supply policy needs to be focused on quality and high average standard of APT should be achieved for the working classes.

• Fashion & Textile Research Journal
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• v.23 no.3
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• pp.358-369
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• 2021

This study aims to classify the dimensions of the sales information of secondhand clothing goods on the C2C secondhand trading platform and to systematically analyze the components of each dimension. To this end, the NVivo 12.0 qualitative data analysis software was used. The content analysis showed that the sales information of secondhand clothing goods was classified into four dimensions: detailed information of the sale goods, information specific to secondhand clothing goods, seller opinion information, and service information. The components of each dimension were as follows. The detailed information of the sale goods included size, sale price, item, design, brand name, material, color, wearing season, fit, gender, etc. The information specific to secondhand clothing goods included the number of times the item was worn, its purchase history, and product condition. Seller opinion information included product review, sales motivation, notes for the transaction, coordination proposal, and usage proposal. The service information included the transaction mode, exchange·return·refund, and promotion. The frequency analysis showed that the highest frequencies were sale goods(37.47%), information specific to secondhand clothing goods(24.63%), seller opinion information(20.54%), and service information(17.37%). This study will help C2C secondhand trading platform managers or sellers establish clear standards for presenting sales information and developing ideas toward constructing differentiated platform contents.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.518-527
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• 2016

The housing market is changing continuously according to the place and time and these changes have a ripple effect across various fields. On the other hand, the amount of housing that is consumed in the region also acts as a central cause of price movement. Moreover, the cause of variations in the housing market can be separated according to the characteristics of the housing consumer. In addition, the individual characteristics of the consumer varies according to the region. As a result, a study on the regional causal relationship of the housing market is underway. Although significant research has been done on the domestic home sales market, there has been limited research on the housing charter market. Therefore, in this paper, regional causal relationship of the housing market in the Gangnam and Gangbuk area in Seoul and Gyeonggi Province was analyzed using the vector error correction model, and is segmented by housing sale market and housing jeonse market. In addition, housing sale and housing jeonse of Gangam, Ganbuk and Gyeonggi province are defined as analysis variables, and time series data is the monthly material of June 2003 to November 2015. The results of the analysis, in the case of the housing sale market, showed that fluctuations in house prices in Gangnam area have a major influence on the fluctuations in house prices in the surrounding region. Similarly, in the case of the housing jeonse market, it was found that the jeonse price of Gangnam area has a significant impact on the jeonse price of housing in the surrounding area.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.48 no.1
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• pp.72-81
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• 2012

Using artificial neural network (ANN) technique, auction prices for common mackerel were forecasted with the daily total sale and auction price data at the Busan Cooperative Fish Market before introducing Total Allowable Catch (TAC) system, when catch data had no limit in Korea. Virtual input data produced from actual data were used to improve the accuracy of prediction and the suitable neural network was induced for the prediction. We tested 35 networks to be retained 10, and found good performance network with regression ratio of 0.904 and determination coefficient of 0.695. There were significant variations between training and verification errors in this network. Ideally, it should require more training cases to avoid over-learning, which leads to improve performance and makes the results more reliable. And the precision of prediction was improved when environmental factors including physical and biological variables were added. This network for prediction of price and catch was considered to be applicable for other fishes.