• Culinary science and hospitality research
• /
• v.14 no.2
• /
• pp.225-236
• /
• 2008

This study is to explore how the employees of tourist hotels perceive moderate room rates and price acceptance. Sampling was taken among employees for deluxe hotels at Yusong in Daejeon. A total of 150 samples were distributed and 124 valid samples were selected for this research. Answers were processed by SPSS 15.0 after data coding. The results of study are as follows; First, annual average sales price of hotel rooms is \99,223, and the rack rates take up 49.7% of the transaction rates. Second, the rack rates which many employees think moderate are in the range of $50.09{\sim}75.13%(\100,000{\sim}150,000)$ of the rack rates. Third, many employees consider $40.07{\sim}50.09%(\80,000{\sim}100,000)$ of the rack rates as the moderate acceptability rates. Finally, the differences of fair rates by age and annual income were noticeable. These hotels ought to narrow the gap between rack rates and transaction rates. This study has a meaning to draw up a new plan for the room rate policy.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.37 no.1
• /
• pp.45-59
• /
• 2012

We analyze a transaction mechanism so-called the revenue sharing transaction model and its dynamics in a supply chain with two competing suppliers and a monopolistic retailer when the demand pattern is uncertain and the back-order is allowed in case. We assume that the products by the suppliers are substitutable each other with a certain degree even though their retail prices are different. It is proved that a supplier and the retailer in the supply chain have some room for enjoying the possibility of their increased profits comparing with the present ones by adopting the suggested revenue sharing scheme. Furthermore, such a transaction model is beneficial even to the customers by offering a lower retail price than before. On the contrary, we observe that another supplier which sticks to an existing transaction scheme is supposed to suffer some decrease in its profit as a result.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
• /
• v.55
• /
• pp.3-32
• /
• 2012

CISG article 74 establishes the general formula applicable in all cases where an aggrieved party is entitled to recover damages. It provides that damages for breach of contract comprise all losses, including loss of profits, caused by the breach, to the extent that these losses were foreseeable by the breaching party at the time the contract was concluded. An aggrieved party may claim under article 74 even if entitled to claim under article 75 or 76. The latter articles explicitly provide that an aggrieved party may recover additional damages under article 74. Articles 75 and 76 apply only in cases where the contract has been avoided. Article 75 measures damages concretely by reference to the price in a substitute transactions, while article 76 measures damages abstractly by reference to the current market price. Article 76 (1) provides that an aggrieved party may not calculate damages under article 76 if it has concluded a substitute transaction under article 75. If however, an aggrieved party concludes a substitute transaction for less than the contract quantity, both articles 75 and 76 may apply. Pursuant to article 77, damages recoverable under articles 74, 75 or 76 are reduced if it is established that the aggrieved party failed to mitigate losses. The reduction is the amount by which the loss should have been mitigated. Article 78 entitles a party to interest on the price and any other sum that is in arrears.

• Korean Journal of Construction Engineering and Management
• /
• v.20 no.6
• /
• pp.23-33
• /
• 2019

The purpose of this study is to analyze the housing price variation within the redevelopment project district, affected by the characteristics of project and implementation stage. This study implemented the hedonic price model employing the actual transaction price with 24 dependent variables from 2006 to 2016 inside 19 redevelopment districts in Seoul. Research finding indicates that the larger ratio of the number of tenants and general distribution, the smaller ratio of rented households and the more positive effect of housing price. It is noteworthy that this study demonstrated the actual transaction price of houses located within the project districts by implementation stage. This study is expected to help the policy makers, the developers and the investors make more reliable decisions on the feasibility study related to the redevelopment project.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.3
• /
• pp.173-182
• /
• 2022

In this paper, we propose a machine learning model that can prevent fraudulent transactions in advance and interpret them using the XAI approach. For the experiment, we collected a real data set of 12,258 mobile phone sales posts from Joonggonara, a major domestic online C2C resale trading platform. Characteristics of the text corresponding to the post body were extracted using Doc2vec, dimensionality was reduced through PCA, and various derived variables were created based on previous research. To mitigate the data imbalance problem in the preprocessing stage, a complex sampling method that combines oversampling and undersampling was applied. Then, various machine learning models were built to detect fraudulent postings. As a result of the analysis, LightGBM showed the best performance compared to other machine learning models. And as a result of SHAP, if the price is unreasonably low compared to the market price and if there is no indication of the transaction area, there was a high probability that it was a fraudulent post. Also, high price, no safe transaction, the more the courier transaction, and the higher the ratio of 0 in the price also led to fraud.

• Journal of the Korea Society of Computer and Information
• /
• v.15 no.11
• /
• pp.225-231
• /
• 2010

Transaction value of business-to-business(B2B) is composed of various factors for groups and time series. In this paper, we use the panel data for finding various variables and using this we analyse the factors that is major influence to transaction value of business-to-business. For analysis we looked at transaction value of business-to-business of 7 groups such as manufacturing industry, electric, gas and piped water industry, construction industry, retail & wholesale trade, traffic industry, publish, image; broad-casting & telecommunication and information service industry, etc. In our analysis we looked at the transaction value of business-to-business during the period from 2005.01 to 2009.12. We examined the data in relation to the transaction value of cyber shopping mall, company bond, composite stock price index, transaction value of credit card, loaned rate of interest in deposit bank, rate of exchange looking at the factors which determine the transaction value of business-to-business, evidence was produced supporting the hypothesis that there is a significant positive relationship between the transaction value of cyber shopping mall, composite stock price index and loaned rate of interest in deposit bank, rate of exchange. The company bond is negative relationship, transaction value of credit card is positive relationship and they are not significant variables in terms of the transaction value of business-to-business.

• Journal of agricultural medicine and community health
• /
• v.49 no.1
• /
• pp.59-70
• /
• 2024

Objectives: This research analyzed and compared housing transaction prices and depression rates according to housing types before and after the COVID-19 pandemic. Methods: Data on housing transaction prices and depression rates from 2018 to 2022 in 25 districts of Seoul, South Korea, were utilized. Dummy variables were employed to account for potential confounders influencing the relationship between the variables. Statistical analysis was conducted using R, and the relationship between depression rates and housing transaction prices was examined through Ordinary Least Squares (OLS) and panel data regression analysis. Results: The results of OLS and one-way random effects models indicated a significant relationship between apartment (p<.05) and officetel (p<.001) transaction prices and depression. However, detached/semi-detached and row/townhouse transaction prices did not exhibit a significant relationship with depression. Conclusion: It was observed that as apartment and officetel transaction prices increased in Seoul before and after the COVID-19 pandemic, depression rates also increased. Considering that changes in housing prices by housing type in South Korea may impact the mental health of local residents, it is deemed necessary to consider healthy housing and housing prices as comprehensive determinants of mental health.

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

• THE INTERNATIONAL COMMERCE & LAW REVIEW
• /
• v.69
• /
• pp.63-84
• /
• 2016

Article 77 of CISG requires an aggrieved party, the promisee, claiming damages to take reasonable measures to mitigate losses. The reasonable measures required hereunder are limited to those that can be expected under the circumstances having regard to the principle of good faith. When taking such measures, the aggrieved party must do so within a reasonable time under the circumstances. The expenses incurred in taking such measures are recoverable from the promisor. If the aggrieved party fails to do so, the damages recoverable from the promisor are reduced in the amount the loss that should have been mitigated. The aggrieved party's duty to mitigate damages applies to claim for damages only. That is, the violation of this duty should not be invoked against other remedies available under CISG, such as the right to claim specific performance, the right to claim for the price or the right of reduction of price. In practice, under the provision of article 77, the aggrieved party, the seller or the buyer, is often required to enter into a substitute transaction as a measure to mitigate losses and many cases involving a substitute transaction are internationally reported. Therefore this paper intends to provide a certain understanding of the aggrieved party's duty to take measures to mitigate losses based on such cases reported.

• Journal of Information Technology Applications and Management
• /
• v.22 no.2
• /
• pp.149-169
• /
• 2015

This study tried to find out how to overcome multicollinearity problems in the structural equation model by creating a hierarchical construct model about the repurchase intention of social commerce. This study selected, as independent variables, price, quality, service, and social influence, based on literature review about social commerce, and then, as detailed variables of independent variables, selected system quality, information quality, transaction safety, order fulfillment and after-sales service, communication, subjective norms, and reputation. As results of empirical analysis about hierarchical construct model, all the independent variables were accepted having a significant impact on repurchase intention of social commerce. Next, this study analyzed the competition model that eight independent variables of price, system quality, information quality, transaction safety, order fulfillment and after-sales service, communication, subjective norm, and reputation directly influence the repurchase intention of social commerce. As results of empirical analysis, system quality, information quality, transaction safety, communication appeared to be insignificant. This study showed that hierarchical construct model is useful to overcome the multicollinearity problem in structural equational model and to increase explanatory power.