• 무역상무연구
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• 제49권
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• pp.3-41
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• 2011

In this article, the author have studied on main revisions and some recommendations of the Incoterms(R) 2010. Main revisions are as belows. 1. Two new Incoterms rules -DAT and DAP- have replaced the Incoterms 2000 rules DAF, DES, DEQ and DDU. 2. New classification of the Incoterms(R) 2010 are adopted. First class is Rules for any mode or modes of transport(EXW, FCA, CPT, CIP, DAT, DAP and DDP belong to this class.) and second class is rules for sea and inland waterway transport(FAS, FOB, CFR and CIF belong to this class.). 3. Incoterms(R) 2010 rules formally recognizes that they are available for application to both international and domestic sale contracts. 4. The Guidance Notes and Introduction are not part of the actual Incoterms(R) 2010 rules. 5. Under the FOB, CFR and CIF, all mention of the ship's rail as the point of delivery has been omitted in preference for the goods being delivered when they are "on board" the vessel. 6. Incoterms(R) 2010 rules include the obligation to 'procure goods shipped' as an alternative to the obligation to ship goods in the relevant Incoterms rules. 7. Incoterms(R) 2010 rules give electronic means of communication the same effect as paper communication. 8. Incoterms(R) 2010 rules have allocated obligations between the buyer and seller to obtain or to render assistance in obtaining security-related clearances. such as chain-of custody information. Some recommendations are as belows. 1. The parties must incorporate the Incoterms(R) 2010 rules into their contract of sale. 2. The parties must choose the appropriate Incoterms(R) 2010 rules. 3. Specify the place or port as precisely as possible in their contract of sale. 4. Remember that Incoterms(R) 2010 rules do not give the parties a complete contract of sale. 5. Incoterms(R) 2010 rules do not prohibit alteration of Incoterms rule, but there are dangers in so doings. In order to avoid any unwelcome surprises, the parties would need to make the intended effect of such alterations extremely clear in their contract.

• 무역상무연구
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• 제67권
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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.

• 한국조리학회지
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• 제9권2호
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• pp.148-175
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• 2003

As mentioned above, Korean restaurant's menu price is to be decided by combining various factors. Korean restaurant is demanded to decide menu price more carefully than other restaurants do, because the number of Korean restaurant is the largest in Korea and Korean food is the most popular among the Korean people. Korean restaurant cannot neglect price competitiveness and is often given complaints from its customers. Because of such management difficulties, the number of Korean restaurant has recently decreased at special class hotels as well as common hotels. Korean restaurant managers are demanded to make efforts to inherit Korean tradition and culture by keeping pride and responsibility. Until now, Korean restaurants are thought to decide the menu prices in short-sighted, non-scientific and haphazard way of thinking. Such price decision factors have established traditions and have been generally accepted to let Korean restaurant managers lose carefulness at the menu price decision. In advanced countries, however, they recognized the importance of the price decision since the 1960's or earlier to research the menu price systematically and scientifically. Before deciding the menu prices, Korean restaurant managers are demanded to investigate various kinds of factors carefully and spend a lot of time to calculate direct costs, that is, one of the most important factors of cost calculations. The managers are demanded to decide the menu prices in reasonable and future-oriented way by keeping not private thinking but correct information and judgment. The sale of each menu has difference, while the menu price increase has been evaluated to be successful from overall point of view. Despite of increased total sale, there was not much difference of net profit because of increased material costs. However, higher level of the customers produced comfortable and cozy atmosphere of the restaurant enough to satisfy customers, and improved service quality much more. Not only customer satisfaction but also improved service quality is thought to play an important role in invitation of future customers.

• 지적과 국토정보
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• 제44권2호
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• pp.231-242
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• 2014

주택의 착공과 동시에 수분양자에게 주택을 분양하는 주택선분양제에서는 사업자가 분양의무를 이행하지 못할 위험이 항상 존재한다. 이러한 위험으로부터 수분양자를 보호하기 위해 주택분양보증제도가 도입 운영되고 있으나, 주택분양보증사고가 발생하면 수분양자 피해발생 등 여러 문제점이 발생한다. 따라서 주택분양보증사고에 대한 관심이 높지만, 지금까지 주택분양보증사고 발생요인에 대한 연구는 별로 없었다. 본 연구는 이러한 배경에서 주택분양보증사업의 사업장 특성과 사업자 특성 등의 자료를 기초로 주택분양보증사고에 영향을 미치는 요인을 분석하고 예측모형 개발의 가능성을 검토하였다. 분석방법으로는 이항로지스틱 회귀모형을 사용하였다. 분석결과 주택분양보증사고 발생은 주택분양사업장 소재지, 사업유형, 건설하는 주택의 유형, PF대출보증 유무 등의 사업장 특성과 시행사 시공사 신용등급, 주택건설 착공연도 등에 영향을 받는 것으로 나타났다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2015년도 추계학술대회
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• pp.533-535
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• 2015

최근 들어 도시의 변두리 휴경지를 이용하여 가족과 함께 취미로 원예나 정원 가꾸기를 즐기는 여가 트렌드가 확산되고 있다. 자연에서 직접 체험하고 가족의 유대관계를 강화시킬 수 있는 주말농장이 인기를 끌고 있다. 그러나 분양 절차가 까다로우며 많은 정보가 필요하기 때문에 이용하는데 어려움이 있다. 이러한 문제점을 해결하기 위해 본 논문에서는 애플리케이션으로 공공 API를 이용한 농장 분양 및 학습 시스템을 개발하고자 한다. 본 시스템은 주말농장을 쉽게 분양받고 관리할 수 있도록 분양 중인 농장 정보를 제공한다. 또한 쉬운 인터페이스를 통해 농장을 가꾸면서 기록할 수 있는 게시판, 앨범, 일정관리 기능을 제공한다. 더불어 농장체험에 대한 아이들의 관심을 높일 수 있는 놀이 기능을 제공하여 아이들의 학습 능력을 향상시키고 가족들의 주말 농장에 대한 참여도를 높이는 것을 목적으로 한다.

• 한국주거학회논문집
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• 제14권4호
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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.

• 한국디지털건축인테리어학회논문집
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• 제8권1호
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• pp.15-21
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• 2008

The district unit planning (DUP) in Korea is a planning instrument. One of the key methods is the incentive system focused on the mitigation of the financial charge of business proprietors with use of various planning deregulation. Here in this paper, it is examined whether the incentive system is indiscriminately applied not only in the metropolitan cities but also in the rural cities. The analysis is carried out with six indicators in relation to the effect on the incentive system on the market of Apartment Housing Development. The indicators are a. the building-to-land ratio(BLR), b. the floor area ratio(FAR) c. the publicly assessed value of land(PAVL), d. the sale price of land(SPL), e. the sale/lease price of apartment house(SLPH) and f. the ratio of housing subscription(RHS). The final result is that the incentive system has different effects between metropolitan cities and rural cities. One of reasons lies on the too high FAR in rural cities to be given basically. Another reason lies on the difference between the cost for purchasing public installation and the profit of the sale & lease price of apartment house. In rural cities their difference becomes much narrow. Finally, the low ratio of housing subscription(RHS) in rural cities makes the effect of the incentive system nearby meaningless.

• 한국의류산업학회지
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• 제23권3호
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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.

• 디지털융복합연구
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• 제16권12호
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• pp.217-229
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• 2018

이 연구에서는 미분양 아파트 단지의 세대별 계약 자료에 데이터 마이닝 기법인 의사결정나무, 신경망, 로지스틱 모형을 적용하여 세대별 초기계약을 예측하는 모형을 개발한다. 모형 개발에는 위례신도시 미분양 아파트 단지의 계약 자료가 이용되며, 이 자료는 훈련용 자료와 검정용 자료로 분할되어 분석에 투입된다. 훈련용 자료에서는 신경망, 의사결정나무, 로지스틱 모형 순으로 예측력이 뛰어났지만 검정용 자료에서는 로지스틱 모형이 가장 우수하게 나타났다. 이 같은 결과는 신경망이 훈련용 자료에 최적화된 모형으로 구축되면서 검정용 자료에 대한 적응성이 떨어져 나타난 결과로 판단된다. 의사결정나무와 로지스틱 모형을 병행 적용한 결과, 층수, 향, 세대 위치, 전기 및 발전기실의 소음, 청약자 거주지, 청약 종류가 초기계약에 영향을 주는 것으로 나타났다. 이는 두 가지 모형을 같이 사용하는 것이 초기계약 결정요인 발굴에 더 효과적이라는 것을 의미한다. 이 연구는 데이터 마이닝의 적용 범위를 주택 분양 예측까지 확장함으로써 융복합 분야 발전에 기여하고 있다.

• International Journal of Advanced Culture Technology
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• 제10권1호
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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.