• Journal of Fashion Business
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• v.15 no.6
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• pp.1-22
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• 2011

This paper is a study on the information required for developing Korean clothing products intended for Chinese students in Korea and for opening markets of Korean clothing and brands in China. It analyses the buying behaviors, purchasing ability, the favourite apparel type for clothing, and satisfaction with Korean clothing and brands of Chinese students in Korea, with which it seeks a program for South Korea branding to enter into the Chinese clothing market. Three hundred fifty seven students of Hannam University and PaiChai University Chung nam National University in Daejeon-city took part in this study. This paper adopts Descriptive Analysis, Crossing Analysis, Bivariate Correlations, and One-way ANOVA in SPSS 17.0 with Post Hoc Multiple Comparisons to know about the impact of demographic variables of Chinese students in Korea on buying information sources, the criteria for store selection, buying capacity, praise degree on various properties of Korean clothes products and their satisfaction with Korean clothes products. The first proposal of expanding China market for Korean merchants is to achieve maximum sales based on sales promotion strategies, such as the credit card corporations, the store display and sales person service development, SPA, design size development, and to upgrade consumption values. The second proposal is Korean clothes corporations should open the Internet shopping corresponding to the physical stores, the most frequently used information source of Chinese students is the network, from the age distribution of Internet users in 2008 in China, population above 10 and below 30 accounts for 66.7% of all users, In recommending clothes made in Korea to Chinese young people, on-line advertising will get better effects than other strategies, specially during advertisement, they should take good use of Korean television shows and variety shows or help Chinese poor areas to do the social contribution hereby to improve the public image of Korean clothes corporations, which can bring good sale promotion effects as well.

• Korean Journal of Community Nutrition
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• v.8 no.1
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• pp.62-70
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• 2003

This article aims to summarize the development and application of menu engineering technique, 'Menu Engineering Modified by Preference (MEMP)'. The site selected for this project was a foodservice operation in Yonsei University residence hall. Sales and food costs data were collected from the daily sales reports for 1 month, and the survey of food preference was conducted during May, 1999. Statistical data analysis was completed using the SAS/Win 6.12 for descriptive analysis. The calculation for menu analysis were carried out with MS 2000 Excel spreadsheet program. This MEMP technique developed had 6 category criteria and 2 dimensions of the contribution margin (CM) and the menu mix modified% (MMM%) . The MMM% was calculated by the sales volumes and also weighted by food preference. The CM and MMM% for each item were compared with a mean menu CM as well as a 70% rule. Four possible classifications by MEMP were fumed out as 'STAR', 'PLOWHORSE', 'PUZZLE', 'DOG'. 'STAR' items were the most popular and profitable items and required to maintain rigid specifications for quality. The decision actions for 'PLOWHORSE' menu items which were relatively popular, but yield a low menu average CM included combining a plowhorse item with lower cost products and reducing the frequency of serving or serving size. There was a need for 'PUZZLE' items to be changed in the menu combination, improve recipe, and promote menu. The last DOG' items were desired to be deleted. This study demonstrates that menu information can be interpreted more easily with MEMP. The use of MEMP is therefore an effective way to improve management decisions about menu of university residence hall foodservice.

• Knowledge Management Research
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• v.21 no.4
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• pp.41-57
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• 2020

This study investigates the posting strategies of influencers for sales: what kind of contents should the influencers provide and how? Influencers used to have seven days of advertising period before the event date (sales begins) and provide both (or either) commercial and (or) non-commercial contents. Some influencers have large number of followers, while others have very small followers. We empirically investigated whether the sequence of posting the commercial and non-commercial contents influence sales, and whether such effects are susceptible to the size of followers. Through the analysis of 1,153 events of 298 influencers on Instagram, we found that commercial contents are more important than non-commercial contents for both small and large influencers. In more detail, the quantity of commercial contents is very important for the large influencers, while the quality of commercial contents is important for small influencers.

• Journal of Industrial Convergence
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• v.21 no.9
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• pp.133-142
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• 2023

The use of digital information technology has become important in order to effectively respond to changes in production conditions in Korean agriculture, which are continuously worsening due to a decrease in the rural population, deepening aging, and climate change. Accordingly, this study analyzed the factors affecting farmers' adoption of information devices use and the effect of information devices use on agricultural product sales using the propensity score matching method. As a result of the analysis, it was found that low-age farmers, high-education farmers, and leading farmers are highly likely to adopt use of information devices. For farms with similar characteristics such as age, management size, and farming type, it has been confirmed that farms that have adopted information devices use in agricultural management have higher sales of agricultural products. Therefore, increasing farmers' access to information and the ability to use information devices provides implications that farm income can be improved. The government's informatization support project in the agricultural and rural sectors is important so that farmers can have the ability to distribute informatization devices and utilize agricultural information, and active investment should also be made in information infrastructure.

• Fashion & Textile Research Journal
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• v.17 no.3
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• pp.405-420
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• 2015

The purpose of this study is to identify the differences between clothing size satisfaction and clothing sizing systems of Korean and foreign SPA (specialty retailer of private label apparel) brands according to height group, and provide foundation material that can be used to establish product strategy from the perspective of Korean SPA brand clothing sizes in order to secure competitiveness in the international market. Satisfaction of tall women in their twenties with the clothing sizes of SPA brands was researched, and t-test was conducted to examine differences between clothing size satisfaction of Korean and foreign SPA brands between the two height groups. Then, differences in the size minimum and maximum values, size ranges, size intervals and size numbers between clothing sizing systems of Korean and foreign SPA brands were researched and comparatively analyzed. Existing clothing sizes need to make improvements considering the lengths and shoulder width of tall consumers. And Korean SPA brands need to diversify the range and number of sizes in the clothing sizing system, and set a separate tall-size group, or apply the relationship between vertical and horizontal sizes of clothing to establish a clothing sizing system. A product strategy that applies the results of this study will solve the clothing size dissatisfaction of tall female consumers and stimulate sales of Korean SPA brand clothing products. The study has value in that it extracted realistic problems by researching clothing sizing systems of products that are actually sold.

• Korea Real Estate Review
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• v.24 no.1
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• pp.15-26
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• 2014

Using multivariate GARCH model, we estimate the relationship between the housing sale prices and lease prices in the Korean housing market. In the analysis of relationship between the rate of changes in sale and lease prices, the correlation coefficient of the apartment and detached house is higher than that of the townhouse. By housing type, the correlation coefficient between detached house and townhouse is higher than between apartment and detached house or apartment and townhouse. By housing size, there are no significant different results between the sales price and the rental price. The correlation coefficient between medium and small size is the highest in the apartment housing market, whereas the correlation coefficient between large and medium size is the highest in the detached housing market, resulting from the fact that people may be more interested in medium- and small-sized apartment and large- and medium-sized detached house. In the detached housing market, the correlation coefficient between large-medium size and medium-small size in the rental price is higher than that of sales price. This result implies that the process of the decision making between purchasing and leasing a house might be different.

• Journal of Korea Technology Innovation Society
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• v.20 no.3
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• pp.642-663
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• 2017

The purpose of this study is to investigate the factors that affect professor startups and their performances in Universities in Korea. We included 5 categories of factors: University's size and reputation, University's technology commercialization staff number and startup deregulation, University's resources for research and technology commercialization, University's patents and professors' publication, and student startups. We analyzed 150 Universities, using Korean government's Academyinfo database, and additional data for University ranking and government's projects for University startups. Our analysis shows that Universities' fund amount for research and technology commercialization, Universities' amount of patents give a positive impact on Universities statistically significantly, while Universities' size or reputation does not. In addition, the amount of patents and startup projects funded by the government give a significantly positive impact on the annual sales of the professor startups. Furthermore, student startups are in a positive relationship with professor startups and their sales, showing a synergy effect between the two startup groups in Universities. The result implies that Universities and government need to focus on supporting patenting activities, providing technology commercialization funds, and collaboration activities between professors and students for their startup activities.

• Korean Journal of Human Ecology
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• v.22 no.1
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• pp.167-179
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• 2013

In recent years, Corporate Social Responsibility (CSR) has received particular attentions from both practitioners and scholars. This study focused on Korean national fashion businesses and identified various types of CSR practices in addition to social contributions. Besides, comparison in corporation by size of the number of full-time employees and sales volume were examined. A total of 1054 cases of 147 brands, 86 corporations between 2000 and 2012 were collected from internet articles and brand home pages. Findings were as follows. First, the types of CSR activities were categorized into the following six: economic responsibility, legal responsibility, consumer protection, protection of worker's right, protection of environment, and social contribution. Social contribution took largest portion of CSR activities (67.7%), followed by environmental protection (14%), and protection of worker's right (6.2%). The other three types presented limited cases but included negative aspects of CSR. Social contribution consisted of six sub categories (culture & art, sports, education, donation, voluntary service, and campaign), and donation took the largest part of social contribution area. Second, comparing 86 corporations by the size of the number of full-time employees, companies more than 300 employees (38.1%) were more likely to practice CSR activities. Similarly, companies with more than 500 billion won sales (13.1%) were more active in their CSR activities than their counterparts. Suggestions are given for improving CSR practices to fashion business.

• Journal of the Korean Home Economics Association
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• v.32 no.2
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• pp.1-16
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• 1994

This paper analysis the structure of Housing Consumption Expenditure of urban salary and wage-earners' households from 1982 to 1992 by employing Time-series. Data was based on " Annual report on the Family Income and Expenditure Survey" of the National Bureau of Statistic Planning Board, Republic of Korea. Percentile marginal-propensity to consume(MPC) and income elasticity of consumption expenditure are estimated by their socio-economic and demographic variables. The results are as follows: 1. The proportion of the expenditure for furniture and utensils and house mending has increased with the increase of income in urban salary and wage-earners' households, while fuel light and water charges and rents paid has decreased. 2.1) Engel Function by income group; MPC associated with rents paid and fuel light and water charges is higher in the lower income group than in the rest. The income elasticity estimates in rents paid and fuel light and water charges is less than 1 in all group while larger than 1 in furniture and utensils and house mending. 2) Engel Function by occupation of household head; The highest MPC in rents paid is associated with the sales profession. The income elasticity of fuel light and water charge is found be inelastic. The groups other than the sales group show irregular MPC. 3) Engel Function by family size; MPC in house mending and fuel light and water charge is increased while is decreased in rents paid in accordance with family size. The income elasticity of rents paid and fuel light and water charge is less than 1 in all groups while that of house mending and furniture and utensils is larger than 1. 4) Engel Function by age of housegold head; MPC in rents paid is decreased according to the age of housefold head. The income elasticity of rents paid and fuel light and water charge is less than 1 in all group while it is larger than 1.

• The Journal of Fisheries Business Administration
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• v.42 no.2
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• pp.1-14
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• 2011

We try to find the determinants of fisheries firms' capital structure during the years from 1992 to 2007 in this paper. We also have a comparative analysis of capital raising behavior in pre and post-IMF financial crisis. Regression analysis is used for this empirical study. Dependent variable is leverage ratio and independent variables are firm size, operating risk, proportion of tangible asset, non-debt tax shield effect, sales growth ratio, profitability and dummy variable. We compared the characteristics of fisheries industry with that of manufacturing industy. The determinants of fisheries firms' capital structure and correlation between pre and post-IMF financial crisis are roughly same as the hypothses except a little difference. As a peculiar difference, corrlation between fisheries firms' operating risk and leverage ratio is (+) in the pre-IMF financial crisis, but (-) in the post-IMF financial crisis. Proportion of tangible asset has a (+) correlation with leverage ratio in pre and post-IMF financial crisis, but in case of manufacturing industy, (-) correlation shows in the pre-IMF financial crisis. Because, in the pre-IMF financial crisis, high proportion of tangible asset doesn't play a role of a collateral, but only increase the bankruptcy probability. Non-debt tax shield effect and leverage ratio have (-) correlation in all industry and all period, but only (+) correlation in case of fisheries industry in the pre-IMF financial crisis. Sales growth ratio has no significant relationship with leverage ratio in fisheries industry, and this is not coincide with our hypothsis. We have a limitation of the sample size of fisheries firms and sample period in this study. Further study is required to classify the fisheries industry with in-shore fisheries, deep sea fisheries and cold storage industry.