• Vending industry
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• v.6 no.1 s.16
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• pp.71-74
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• 2006

최근 중고 커피자판기 시장 경기가 말이 아니다. 대다수의 중고 커피자판기 유통업체들이 심각한 수요부진으로 시름을 하고 있고, 유통가격대는 나날이 급락을 하고 있어 채산성을 유지하기도 힘든 지경이다. 가격 경쟁력으로 무장한 중고 커피자판기 시장마저 부진하다는 사실은 커피자판기 시장 전체가 총체적 난국에 빠졌다는 사실을 반증하고 있다. 신형, 중고 할 것 없이 수요부진의 깊은 늪에서 헤어나지 못하고 있는 상황에서 시장재활이 시급한 과제로 대두되고 있다. 난국 속, 중고 커피자판기 시장의 현실과 과제를 집중 조명해 봤다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.151-152
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• 2020

최근 코로나바이러스(COVID-19)의 여파로 경기침체가 이루어 지고 있는 중, 반대로 역성장을 이루고 있는 중고시장의 흥행요인을 분석하고, 또한 기존 지역단위의 중고거래시장이 아닌 새로운 소규모 동네단위 중고시장의 급성장 요인을 분석하여 향후동향을 예측하고자 한다.

• Journal of the Korea Convergence Society
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• v.8 no.3
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• pp.215-223
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• 2017

The purpose of the present study is to identify the differences of customer preference in online and offline used car business. Conjoint analysis is used for examining the attributes of used car choices. As a result, the order of importance in real used car market is as follows: brand, design, price, model, mileage. Whereas the order of importance in online used car market is as follows: brand, trust, price, web design, accident. Accordingly, the author suggested that customer preferences depend on the path people are approaching and the attributes of preference vary in online and real stores. For example, trust and accident are important attributes in online market in comparison with real market. Used car market is increasing and becoming important. The authorities and practitioners need to understand used car market and establish the related policies.

• Journal of Korea Port Economic Association
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• v.23 no.3
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• pp.1-27
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• 2007

The used car export of Korea has rapid growth with the competitive price through economic situation of IMF, but the export volume would be decreased due to the import restriction of used car by Iraqi, Middle Asian countries since 2004. This research would be suggested the proposal of "the used car's innovative export logistics system" to solve the increased supplying of used car and decreasing of used car's export. This proposal of "the used car's innovative export logistics system" present the advanced used car's export logistics center for activation of export and construction of integrated export logistics system to be promoted the export process. As a result of analysis of the economic effectiveness through the activation of used car's export at the port of Incheon, it is forecasted that the concerned companies have the increasing of net profit 27,000 million Korean won; the value added effectiveness 340,000 million Korean won, acceleration of employment 2,200 persons. The policy should be consistent in order to process of "the used car's innovative export logistics system". For promotion of used car's export, not only near vision for solve the current matter, but also the strategic policy and master plan for promotion of used car's export to the international competitiveness strength continuously. The object of this research is directed to "the used car's export integrated logistics system" and "policy" for creation of export logistics complex".

• Journal of Service Research and Studies
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• v.14 no.1
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• pp.27-43
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• 2024

The market share of online platform services in the used car market continues to expand. And The used car online platform service provides service users with specifications of vehicles, accident history, inspection details, detailed options, and prices of used cars. SUV vehicle type's share in the domestic automobile market will be more than 50% in 2023, Sales of Hybrid vehicle type are doubled compared to last year. And these vehicle types are also gaining popularity in the used car market. Prior research has proposed a used car price prediction model by executing a Machine Learning model for all vehicles or vehicles by brand. On the other hand, the popularity of SUV and Hybrid vehicles in the domestic market continues to rise, but It was difficult to find a study that proposed a used car price prediction model for these vehicle type. This study selects a used car price prediction model by vehicle type using vehicle specifications and options for Sedans, SUV, and Hybrid vehicles produced by domestic brands. Accordingly, after selecting feature through the Lasso regression model, which is a feature selection, the ensemble model was sequentially executed with the same sampling, and the best model by vehicle type was selected. As a result, the best model for all models was selected as the CBR model, and the contribution and direction of the features were confirmed by visualizing Tree SHAP Value for the best model for each model. The implications of this study are expected to propose a used car price prediction model by vehicle type to sales officials using online platform services, confirm the attribution and direction of features, and help solve problems caused by asymmetry fo information between them.

• Journal of Service Research and Studies
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• v.6 no.3
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• pp.123-139
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• 2016

As competition continues to increase, it becomes even more important for companies to improve customer satisfaction to survive. Many companies have tried to improve customer satisfaction in their own ways. This case study focuses on the market for used products, and introduces the case of the start-up company, SELL-IT, a company that has made great efforts to solve the problems commonly facing their customers and has been rewarded by improved customer satisfaction. Focusing on improving communications between buyers and sellers, the root of many problems in any market, SELL-IT has introduced a number of new systems to solve the problems that plague the secondhand market. This case study provides marketers with practical implications to improve customer satisfaction in the secondhand market.

• Korean Journal of Social Welfare
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• v.63 no.2
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• pp.233-260
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• 2011

This study intends to analyze the trend of employment rate of men aged 55~64 in 15 OECD countries from 1980 to 2005. Furthermore, this study means to examine the determinants of men aged 55~64 in 15 OECD countries to support the labor force participation among them. The analysis is based on the data of OECD, ILO and LIS. The analysis method is Arellano and Bond(1981)'s difference GMM which used instrumental variables by dynamic panel model which estimates state dependency of labor market participation and individual panel's heterogeneity. The main results from this analysis are summarized in three points. First, the employment rates of men aged 55~64 had decreased until the middle of the 1990s, while that has been increasing since 1995. Second, the sate dependency strongly worked in the employment rates of 55~64 men and positive period effect was observed for 1980~2005. This study cannot find the pull effect of public pension, while labor market push effect have negatively affected. Third, temporary work rates had contributed to increase the employment rate of men aged 55~64 for 1996~2005. The poverty has become the mechanism of the labor.

• Journal of Navigation and Port Research
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• v.43 no.1
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• pp.72-78
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• 2019

The second-hand ship market provides immediate access to the freight market for shipping investors. When introducing second-hand vessels, the precise estimate of the price is crucial to the decision-making process because it directly affects the burden of capital cost to investors in the future. Previous studies on the second-hand market have mainly focused on the market efficiency. The number of papers on the estimation of second-hand vessel values is very limited. This study proposes an artificial neural network model that has not been attempted in previous studies. Six factors, freight, new-building price, orderbook, scrap price, age and vessel size, that affect the second-hand ship price were identified through literature review. The employed data is 366 real trading records of Panamax second-hand vessels reported to Clarkson between January 2016 and December 2018. Statistical filtering was carried out through correlation analysis and stepwise regression analysis, and three parameters, which are freight, age and size, were selected. Ten-fold cross validation was used to estimate the hyper-parameters of the artificial neural network model. The result of this study confirmed that the performance of the artificial neural network model is better than that of simple stepwise regression analysis. The application of the statistical verification process and artificial neural network model differentiates this paper from others. In addition, it is expected that a scientific model that satisfies both statistical rationality and accuracy of the results will make a contribution to real-life practices.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.529-536
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• 2023

The secondhand market in Korea has been showing steady growth. However, the number of fraud cases and the amount of damages from fraudulent activities in secondhand transactions are also increasing. As of 2021, the size of the secondhand market reached 24 trillion won, but the total amount of fraud-related damages reached 360.6 billion won. In order to prevent fraud between individuals, secondhand trading platforms have implemented a safety payment system. However, new types of fraud methods exploiting the safety payment system have emerged, undermining the security of secondhand transaction safety payments. In this study, we aim to utilize text mining to examine the current state of the safety payment system in secondhand transactions and propose improvement measures by analyzing the system through text mining and network analysis.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.61-68
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• 2023

As global growth has gradually declined, the Customer to Customer (C2C) market has expanded. And the growth potential of the C2C market is getting higher than in the past. Therefore, in this study, we examined what factors affect the price of used products within the C2C market. In order to examine the factors, we used data provided by Kaggle, which is a data science platform, and Mercari, Japan's largest C2C community marketplace platform. In research methods, the characteristics of the products were selected such as product categories, product status, shipping costs, product brands, and the data were analyzed using a linear mixing model to predict the price of C2C used goods. As a result, the variable that most affected the price was the shipping cost. When the seller paid for the shipping cost, the price would drop more than if the buyer had to pay. This study has been shown that the shipping costs is also an important factor in the used market, which can provide practical implications for customers of real transactions.