• Journal of Navigation and Port Research
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• v.28 no.8
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• pp.687-697
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• 2004

This paper is aimed to guide ocean-going companies to reasonable decisions and to increase the competitiveness of Korean shipping industry by clarifying the determinants of political costs of ocean-going companies, which only depend for the enormous amount of money to introduce the operating fixed assets, or the vessels, upon the supporting policy from the government or the loan from the related financial institutions. As independent variables of the political costs, 5 elements were settled such as company size(sales, total assets and market share), debit ratio, capital concentration ratio, profitability(operating profit) and marine risk(sales fluctuation). To verify the relations and the effect level between dependent variables and political costs, the Multiple Regression Analysis Model was applied The result of the analysis shows significantly positive relations between size variables and political cost of shipping industry. Moreover, debt ratio and profitability were proved significant related with political costs of shipping industry.

• Journal of Digital Convergence
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• v.16 no.3
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• pp.145-156
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• 2018

Unlike the past, when distributors distributed games through retail stores, they are now selling digital content, which is based on online distribution channels. This study analyzes the effects of eWOM (electronic Word of Mouth) on sales volume of game sold on Steam, an online digital content distribution channel. Recently, data mining techniques based on Big Data have been studied. In this study, emotion index of eWOM is derived by emotional analysis which is a text mining technique that can analyze the emotion of each review among factors of eWOM. Emotional analysis utilizes Naive Bayes and SVM classifier and calculates the emotion index through the SVM classifier with high accuracy. Regression analysis is performed on the dependent variable, sales variation, using the emotion index, the number of reviews of each game, the size of eWOM, and the user score of each game, which is a rating of eWOM. Regression analysis revealed that the size of the independent variable eWOM and the emotion index of the eWOM were influential on the dependent variable, sales variation. This study suggests the factors of eWOM that affect the sales volume when Korean game companies enter overseas markets based on steam.

• Journal of Applied Tourism Food and Beverage Management and Research
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• v.11
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• pp.135-135
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• 2000

The financial performance over the twenty four-year period (1968-1991) was analyzed with respect to six performance measures : current ratio, net sales to working capital for liquidity, total liabilities to net worth for solvency, asset turnover for activity, return on assets for profitability, and cost of operations for operating. Interesting enough, small size hotel companies have enjoyed great profitability while relatively big hotel companies have fallen under the average. Further, after a certain level of firm size, the costs of operations increase, not decrease, as plant size increase. This results lead to a conclusion that getting bigger is not always good financial decision.

• Korean Management Science Review
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• v.30 no.3
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• pp.71-79
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• 2013

This paper investigates and selects the areas that need to be improved in R&D and production management of small and medium size companies. The study on the capability of R&D and production management shows that the areas for evaluating of the R&D and production management levels are composed of 8 elements : R&D resource, R&D support and experience, long-term operations strategy, intermediate range planning, short-term planning, subcontractor management, logistics and inventory management, and quality management. The investigation of the gap between the importance of the areas and the capability of SMEs shows that the most important things are to consolidate supply chain, to improve product and process competitiveness using quality improvement, and to enhance production management through sophisticated short-term planning. The detailed analysis also shows that the areas that need to be improved depend on the size and sales of the company.

• Korean Management Science Review
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• v.31 no.4
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• pp.135-150
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• 2014

This paper analyzes the operational efficiency of 91 individual retail stores in Seoul by a two-step procedure. In the first step, a data envelopment analysis (DEA) model is used to identify the efficiency scores. Three inputs (store size, number of items, and number of employees) and two outputs (sales and number of customers) are used for the efficiency measurement. In the second step, a Tobit regression model is used to identify the drivers of efficiency. DEA efficiency scores are used to test hypotheses on the impact of five independent variables, namely store age, number of items per store size, number of items per employee, trade area index, and number of competitors. Results of the Tobit analysis show that number of items per store size, number of items per employee, and number of competitors play a significant role in influencing the operational efficiency of retail stores. Managerial implications of the study are discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3169-3181
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• 2015

Nowadays, online word-of-mouth has become a powerful influencer to marketing and sales in business. Opinion mining and sentiment analysis is frequently adopted at market research and business analytics field for analyzing word-of-mouth content. However, there still remain several challengeable areas for 1) sentiment analysis aiming for Korean word-of-mouth content in film market, 2) availability of machine learning models only using linguistic features, 3) effect of the size of the feature set. This study took a sample of 10,000 movie reviews which had posted extremely negative/positive rating in a movie portal site, and conducted sentiment analysis with four machine learning algorithms: naïve Bayesian, decision tree, neural network, and support vector machines. We found neural network and support vector machine produced better accuracy than naïve Bayesian and decision tree on every size of the feature set. Besides, the performance of them was boosting with increasing of the feature set size.

• Fashion & Textile Research Journal
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• v.16 no.5
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• pp.785-790
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• 2014

This study was performed to investigate purchasing practice and size satisfaction in order to establish marketing strategy and produce free-size clothes for the male and female in their 20s. Results were as follows; first, regarding the size selection method, it has been found that 71.5% of subjects answered that they buy clothes as a sales clerk chooses for them without knowing the old size name or notation. Second, 47.5% of subjects answered that free size is the size, which fits well to 55~66 size. Meanwhile, 36.1% answered that free size fits well to any body type; while 4% answered that free size fits well to 77 size. Third, regarding the clothes kind, which consumers buy most as free size, consumers buy shirts and sportswear by free size. Fourth, they were observed to purchase free-size clothes "free-size clothes what I want" and to not purchase clothes "due to the lack of right sizes." The size notation of clothes products is basic information, by which consumers can tell whether the clothes fit to self or not before the consumer would wear the clothes and confirm its fitness. Therefore, it is suggested that all clothes products would be manufactured by having KS clothes size as basic data and they would use standard size notation so that consumers would not have confusion. Standardized size notation by proper education and utilization on new KS notation method and attitude change of companies and consumers on size are suggested.

• Journal of Cadastre & Land InformatiX
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• v.44 no.1
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• pp.213-226
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• 2014

The objective of this paper is to investigate the factors determining the premium of coffee shops by using coffee-shop lease cases at main retail trade areas in Seoul. The focus is on analyzing that the coffee-shops' the sales, building, location and retail trade area characteristics affects the coffee shop's premium. The major findings are as follows. First, there is a high positive correlation between the premium and the sales, and the sales and the size of the shop are shown to be statistically significant variables in estimating the premium per $3.3m^2$. It means that the shop's sale is empirically important an independent variable in determining the premium and as the major costs in the process of starting the business. Second, the deposit money per $3.3m^2$ and public service officers in the retail areas are important in determining the premium. Third, the size of the shop have the effects on the premium per $3.3m^2$ negatively. In short, this study adopts the research hypothesis that retail trade area, location, building of the characteristics, which is located in the coffee shops have the effects on the premium.

• Journal of the Korean Data and Information Science Society
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• v.24 no.6
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• pp.1369-1384
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• 2013

In this study, we investigate various factors affecting five kinds of life planners' satisfaction after turnover which are general, human relations within organization, sales environment support, economic, life planner management system. Also we suggest theoretical and practical implication to them. The results of survey of life planners are as follows. First, in the general life planners' satisfaction after turnover, insurance company belonged to, recognition on own sales ability, life planners' satisfaction level, financial and insurance related award, education level, marital status, size of branch, and surrounding recognition about life planner are influential factors on it. Second, factors which affect the life planners' human relations satisfaction within organization after turnover are size of branch, surrounding recognition about life planner, and insurance company belonged to. Third, factors which affect the life planners' sales environment support satisfaction after turnover are surrounding recognition on life planner, insurance company belonged to, certificates relating to finance or insurance, size of branch, Fourth, in the solicitors' economic satisfaction after turnover, mainly demographic factors such as education level, marital status, age are crucial to it and also life planners' satisfaction level is influential factor. Last, in the solicitors' management system satisfaction, only experienced turnover type is a influential factor.

• Journal of the Korea Fashion and Costume Design Association
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• v.16 no.2
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• pp.15-29
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• 2014

Setting the ease amount takes the important part to the fit that consumers satisfies. Therefore, it is required to create a pattern for off-the-rack jackets that considers the proper amount of ease. However, few studies have been done previously regarding the ease amount of jacket pattern for the women in their 20s whose demand for jacket is high and who are sensitive to the fit. Therefore, this study selected top five brands in terms of sales and preference among the national female apparel brands. It obtained a tailored jacket pattern for basic size (55 size) and made the jacket. Then, an expert panel group put the pattern on Hani body, a torso dummy for education made by the anthropometric data of Size Korea for females in their 20s and conducted an evaluation on the ease amount and analyzed the results. As a result, the ease amount of the Pattern A was evaluated as proper and that of the Pattern B was found to be lease proper. From the fact, we can see that each of the top 5 off-the-rack brands has different ease amount, though they are of the same basic size (55 size).