• Journal of the Korean Society of Clothing and Textiles
• /
• v.43 no.6
• /
• pp.825-836
• /
• 2019

This study focuses on how to improve the use of the sustainable clothing through consignment clothing Stores. This study finds factors for activating consignment clothing stores that can help expand and implement the clothing consumption culture of Korean consumers towards sustainable clothing behavior. The objectives of this study are as follows. First, we identify consumer's sustainable apparel behavior through an in-depth interview with a manager who is currently working in a consignment-selling apparel company in Seoul. Second, we analyze factors for activating a consignment clothing store that help enable the implementation of concrete action plans into Korean culture and towards a sustainable clothing behavior. The study results on consignment clothing stores serve as service factors. First, it increases the participation of consumers in the mindset of secondhand apparel. Second, it secures the quality of used apparel products. Third, it can be seen by expanding the market channel. There is a need to rethink the specialty of apparel products in order to secure the quality of used apparel products and appraisal of experienced apprentices of commodity appraisers.

• Journal of Korea Port Economic Association
• /
• v.31 no.2
• /
• pp.55-67
• /
• 2015

This study analyzes the relationship between shipping profit and market return in the tramp trade from January 2000 to October 2014. First, we carry out the causality test and find a causal relationship between the studied variables. Second, the estimates from the Johansen cointegration test show that shipping profit is cointegrated with market return, which implies that a long-run relationship exists among the variables. The empirical results thus imply that shipping firms need diverse risk management strategies.

• Journal of Information Technology Services
• /
• v.21 no.4
• /
• pp.123-140
• /
• 2022

In the ever-increasing online secondhand product market, the perceived risk of online used products purchase was identified as a factor influencing consumer purchase intention. The results of this study are as follows. First, the relationship between the perceived risk of online secondhand purchase and purchase intention was presented with somewhat different results for each sub-risk factor. First of all, a significant negative causal relationship between physical risk, time loss risk, psychological risk, social risk and online used product purchase intention was verified. On the other hand, financial risk and functional risk did not show a statistically significant relationship with online used products purchase intention. Second, as a result of research on the moderating effect of purchasing experience, offline purchasing experience of used products and online purchasing experience were verified differently. First of all, the moderating effect of the online purchase experience of used products was significant only in the relationship between psychological and social risks on the intention to purchase used products online. The experience of purchasing used products online is believed to reduce uncertainty about the surrounding response to purchasing used products online and weaken the intention to purchase used products online by reducing tension and concerns about purchasing them. Other risks, such as financial risk, performance risk, physical risk, time loss risk, and online purchase experience of used products, were verified to have no significant effect on online used products purchase intention. In addition, the offline purchase experience of used products did not verify a significant moderating effect on the effect of all perceived risks on online used product purchase intention.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.27 no.1
• /
• pp.13-21
• /
• 2021

The purpose of this study is to develop the ship valuation model by utilizing the neural network model. The target of the valuation was secondhand VLCC. The variables were set as major factors inducing changes in the value of ship through prior research, and the corresponding data were collected on a monthly basis from January 2000 to August 2020. To determine the stability of subsequent variables, a multi-collinearity test was carried out and finally the research structure was designed by selecting six independent variables and one dependent variable. Based on this structure, a total of nine simulation models were designed using linear regression, neural network regression, and random forest algorithm. In addition, the accuracy of the evaluation results are improved through comparative verification between each model. As a result of the evaluation, it was found that the most accurate when the neural network regression model, which consist of a hidden layer composed of two layers, was simulated through comparison with actual VLCC values. The possible implications of this study first, creative research in terms of applying neural network model to ship valuation; this deviates from the existing formalized evaluation techniques. Second, the objectivity of research results was enhanced from a dynamic perspective by analyzing and predicting the factors of changes in the shipping. market.