• Journal of the Korean Society of Costume
• /
• v.60 no.2
• /
• pp.114-129
• /
• 2010

The purpose of this study were to identify shopping orientation for fashion outlet consumers and its significance in influencing brand loyalty and shopping satisfaction. This study will propose results which help to better understand shopping orientation of fashion outlet consumers. A questionnaire was administered to 326 20s male and female living in Daegu Gyeongbuk during October of 2008. Data were analyzed by using Factor analysis, Reliability analysis, t-test and Regression analysis. The results of the research are as follows: First, The shopping orientation could be into 5 dimensions: pleasure tendency, fashion tendency, name brand tendency, prudence buying tendency, economic tendency. Brand loyalty were factor analyzed resulting three factors such as brand loyalty, brand care and brand knowledge. Brand loyalty factors of brand loyalty and brand knowledge had a positive effect on fashion tendency, name brand tendency. Brand care has a positive effect on name brand tendency and economic tendency. Second, Shopping satisfaction were factor analyzed resulting five factors such as product, store atmosphere, service store reputation, location convenience and price. Outlet product had a positive effect on fashion tendency, name brand tendency, prudence buying tendency and while all other factors showed a positive effect on preferences to follow trends. However, outlet price had a positive effect on only those consumers possessing a economic tendency.

• The Korean Journal of Community Living Science
• /
• v.26 no.1
• /
• pp.87-102
• /
• 2015

This study examines the structural relationships between ecotourism village visitors' motivation, value, satisfaction, and loyalty. A self-administered survey was conducted based on 254 visitors to six ecotourism villages. According to the confirmatory factor analysis, there were four underlying dimensions of motivation (relaxation, adventure, nature experience, and learning) and on underlying dimension of value (tourism). According to structural equation modeling, relaxation had a positive effect on economic value, and relaxation and learning had positive effects of functional value. Relaxation had a positive effect on social value. Economic, emotional, and social value had positive effects on ecotourism village visitors' satisfaction, and economic value had the greatest effect on satisfaction. Satisfaction had a positive effect on destination loyalty. The results imply that economic, emotional, and social value played important mediating roles in the relationship between motivation and satisfaction.

• Journal of Information Technology Services
• /
• v.17 no.3
• /
• pp.37-51
• /
• 2018

Recently, cloud computing market is growing geometrically in both private and public area, and many global companies in various domains have developed and provided cloud computing services. In such situation, Korean government made multiple plans for domestic cloud computing industry. However, most research institutes have focused on market size and status information, which makes actual effectiveness of cloud computing service hard to recognize. In this study, we define cloud computing Industry by rearranging Input-Output table published by the Bank of Korea to use Input-Output Analysis. The Input-Output Analysis was devised in 1963 by Leontief and it is used in many fields of study until now. It produces various coefficients that are able to identify production-inducing effect, value-added effect, labor-inducing effect, front and rear chain effect. The analysis results show that production-inducing effect, front and rear chain effect of cloud computing industry is low compared to other industries. However, cloud computing Industry possesses relatively high value-added effect and labor-inducing effect. It is because industry magnitude of cloud computing is smaller than other industries such as manufacturing, chemical industries. The economic effects of the cloud computing industry are not remarkable, but this result is significant to emerging markets and industries and presents the fresh way of analyzing cloud computing research field.

• KDI Journal of Economic Policy
• /
• v.43 no.4
• /
• pp.23-44
• /
• 2021

This research attempts to provide an in-depth analysis of the public perceptions of inter-Korean economic cooperation. KDI survey data with a sample size of 1,000 were subjected to empirical analyses. By means of ordered logit estimations, we derive the following results. First, there is a significant effect of age on economic cooperation perceptions, where younger generations tend to be more negative. Second, the group who has positive view on the economic cooperation tends to prefer large-scale, domestic-entity-funded cooperation projects, whereas the group who has negative view tends to prefer small-scale projects and projects funded by international organizations. According to these results, prioritizing trade with the involvement of international organizations is likely to be an effective measure to alleviate potential political constraints and to achieve sustainable long-run economic cooperation systems when pursuing the economic cooperation.

• Asia-Pacific Journal of Business
• /
• v.14 no.1
• /
• pp.113-129
• /
• 2023

Purpose - The purpose of this study is to examine whether trading volume amplifies the extent to which lottery-type stocks are overpriced, and whether economic sentiment index explains time-variation in the magnitude of the volume amplification effect. Design/methodology/approach - We examine monthly returns on 5x5 monthly bivariate portfolios formed by lottery characteristics (measured by maximum daily return) and trading volume. In addition, we perform time-series regression tests to examine how the volume amplification effect changes in high and low economic sentiment periods, after controlling for Fama-French three factors. Findings - Our bivariate portfolio analysis shows that the overpricing of lottery-type stocks are mostly pronounced among high trading volume stocks. In contrast, for low trading volume stocks, overpricing of lottery-type stocks appears to vanish. Furthermore, the amplification effect of trading volume on overpricing of lottery-type stock is concentrated in high economic sentiment periods. Research implications or Originality - This study is the first attempt to examine whether trading volume drives lottery-type stocks' overpricing in the Korean stock market. Furthermore, our analysis unveils the time-varying nature of volume amplification effect. The results suggest that trading volume might play a important hidden role in asset pricing, opening a new line of researches in the future.

• Resources Recycling
• /
• v.32 no.3
• /
• pp.45-56
• /
• 2023

This study analyzed the economic and environmental effect of recycling rhodium used in the non-catalytic field. As an analysis methodology, economic effect analysis applied cost-benefit analysis and resource-saving effect analysis and the environmental effect analysis applied life cycle assessment (LCA). The results show that from an economic point of view, the cost-benefit ratio was 1.28, which was feasible, and the cost reduction was 237,000 won based on 1 g of rhodium recycled and the amount of rhodium recycled was 7.17 billion won in 2025. As for the environmental effect, the greenhouse gas(GHG) emissions were compared between the case of recycling based on rhodium 1 kg and the case of overseas sales. The calculation results show that based on rhodium 1 kg, greenhouse gas emissions were reduced by 99.8%, from 65 kg CO₂eq./kg-Rh when recycling to 28,800 kg CO₂eq. when sold overseas. The results obtained from this study could suggest that rhodium recycling is necessary in Korea where resources are scarce by analyzing the economic and environmental effect of recycling rhodium used in the non-catalytic field.

• Korea Trade Review
• /
• v.47 no.1
• /
• pp.13-24
• /
• 2022

This study was conducted because the global economic downturn caused by COVID-19 caused a surge in logistics costs and it was no longer possible to predict logistics costs using existing methods. For this study, we made the assumption that economic indicators affect logistics cost. Chapter 2 examines the current status of the liner market and factors affecting logistics costs. Based on this, Chapter 3 collects independent and dependent variables to determine the analysis model. As the independent variable, economic indicators of major countries constituting the SCFI were selected, and the dependent variables were the SCFI Europe Index and the SCFI USA Index. In Chapter 4, a panel analysis was conducted based on this, and it was confirmed that major economic indicators had a negative (-) effect on SCFI. This is contrary to the existing research results, which can be attributed to the special situation caused by COVID-19 and the imbalance of demand and supply by region. The results of this study are meaningful in that they can predict long-term logistics cost volatility without analyzing supply and demand, and can be applied to other studies as well.

• The Journal of Industrial Distribution & Business
• /
• v.13 no.6
• /
• pp.19-36
• /
• 2022

Purpose: The purpose of this study is to analyze the effects of COVID 19. The effects of COVID 19 are grouped into 5; economic stress, mental stress, health stress, task concern, self-confidence. We introduce the concept of personal ambidexterity that is necessary power for cabin crews to provide appropriate and efficient service to passengers. Ambidexterity consists of exploiting existing resources to sustain and exploring the new including method of performing task, customer, market etc. The former is necessary to maintain present condition while the latter is necessary to prepare for the future. Also motive is considered as a stimulating factor for task. Previous studies show that motive affects ambidexterity and we try to analyze whether COVID 19 effects influence this relationship. Research design, data, and methodology: Considering the relationship between the variables, we designed to measure the influence of the effects of COVID 19 by analyzing the moderating effects of them. For empirical analysis we distributed survey questionnaire and collected. Total of 361 samples are used fo the analysis. For analysis program, SPSS version 23 was used. Regression analysis and moderating effect analysis were conducted. Results: Study results show that first, the variables of economic stress, mental stress, health stress, task concern, self confidence affects personal ambidexterity and service provision. Also ambidexterity affects service provision significantly. Among COVID 19 effects, economic stress, task concern, and self confidence has moderating effects. On the other hand, new work environment does not have moderating effect. Conclusions: In conclusion, the effects of COVID 19 are wide and various. Among them the most serious effect is that COVID 19 is depriving workers of self confidence and passion toward the work. To remedy stresses and restore self confidence and passion, each worker should make his/her own efforts, such as, learning more to become more competitive, also firms should do make efforts to protect employees and to rebuild trust between firm and employees in every respect. Especially firms should realize that economic stress can be treated by economic compensation as the situation turns to normal but trust as well as self confidence and passion is not easy to restore.

• Journal of Korea Trade
• /
• v.24 no.6
• /
• pp.1-18
• /
• 2020

Purpose - This study investigates whether a listing effect exists in cross-border M&As and whether the effect can be attributed to the uncertainty of the GDP growth rate in the target firm's home country. We apply a joint variable analysis using M&A announcement data from the Korea Exchange (KRX), Shanghai Stock Exchange (SSE), and the Taiwan Stock Exchange (TWSE) from 2004 to 2013. We also conduct an event study using the measure of the uncertainty of the GDP growth rate (based on IMF statistics) in 55 target countries. Design/methodology - We measure the abnormal return (AR) using the market-adjusted model. We test the significance of the AR and the cumulative abnormal return (CAR) using a one-sample t-test. We examine the characteristics of the CARs depending on whether the target company is listed by applying a difference analysis using CAR as a test variable. In addition, we set CAR (-5, +5) as a dependent variable to identify the cause of the listing effect, and test both the financial characteristic variables of the acquirer and the collective characteristic variables of the merger as independent variables in the multiple regression analysis. Findings - First, we find the listing effect of cross-border M&As in the KRX, SSE, and TWSE, which represent the capital markets in Korea, China, and Taiwan, respectively. This listing effect persists during the global financial crisis and has a negative effect on the wealth of acquiring shareholders, especially when the target countries are emerging markets. Second, greater uncertainty regarding the target countries' economic growth in cross-border M&As has a negative effect on the wealth of acquiring firms' shareholders. Third, our empirical analysis demonstrates that the listing effect is attributable to the fact that firms listed in a target country with greater uncertainty of economic growth are more directly and greatly exposed to uncertain capital markets through stock markets, than are unlisted firms. Originality/value - This study is significant in that it presents a new strategic perspective in the study of cross-border M&As by demonstrating empirically that the listing effect is attributable to the uncertainty regarding the economic development of the target firms' home countries.

• Korea Trade Review
• /
• v.44 no.2
• /
• pp.173-188
• /
• 2019

The purpose of this study is to investigate the causal relationship between the logistics industry and the economic growth in Korea, and to provide implications for the contribution of the logistics industry to economic growth. Unlike Previous Related Studies, we derive short-term and long-term effects through dynamic panel analysis such as panel Granger causality test and impulse response function estimation using panel vector error correction model. The results of the empirical analysis are as follows: Labor input of the logistics industry has the greatest positive impact on economic growth. And capital input and total sales of the logistics industry have a negative effect on economic growth. This means that Korea's logistics industry features labor-intensive growth. In addition, We have also found that the growth (sales) and capital input of the logistics industry have not yet had a direct positive impact on economic growth. Therefore, the results of this analysis provide implications for the direction of logistics industry policy to enhance contribution of the logistics industry to economic growth.