• Journal of the Korean Society of Costume
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• v.57 no.2 s.111
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• pp.69-85
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• 2007

Despite the recovery of consumer expenditure and retailing in the Korean economy after 2001, the domestic apparel industry has been aggravated by negative growth in both productivity and production. The purpose of the stud? is to diagnose the develop competitive of the Korean apparel industry and derive implications for this after estimating the efficiency of the Korean apparel companies with Data Envelopment Analysis. Data Envelopment Analysis(DEA) is a methodology based in non-parametric analysis and linear programming. It was developed for measuring the relative efficiency of a set of firms that use inputs to produce outputs. Data used fer input and output variables in the analysis are drawn from financial statement recorded by the Korean Financial Supervisory Service. The initial input data comprise the number fo the employees, fixed assets, general management and selling expenses, and cost of sales. The initial outputs are the operating profit and the gross margin. To summary the results, the efficiencies of the Korean apparel companies has increased yearly in spite of being overabundance of investment in Labour and Capital. According to correlation between input and output variables, the Korean apparel industry has been revamping gradually from labor intensive industries to the capital. The companies need to reduce costs in the results from the number of employees, fixed asset and cost of sales to transform into an efficiently enterprise. The companies owning or obtaining a brand had bitter establish an outsourcing strategic in production, while OEM corporations are called far setting up a manufactory in domestic or abroad. Although the paper is derived some implications with production efficiencies, the relation between apparel companies and brand power, consumption level of consumer, and social trend is remained on a limitation to the study. The next research necessitates a topic with Fashion industry or examining the correlation between brand value, social propensity and profit margin.

• Journal of Convergence for Information Technology
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• v.11 no.9
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• pp.94-108
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• 2021

This study is to identify the internal and external factors of a company that can affect the rate of change in the inventory turnover ratio. In addition, by appropriately managing or responding to these factors, changes in the inventory turnover ratio do not occur abruptly, so that the company's business and financial performance can be improved. To confirm this, factors such as gross profit margin, cash flow volatility, advertising expenses, inflation, exchange rate rise, and leading economic index were selected, and these factors were predicted to affect the change rate of inventory turnover. Data of 85,878 companies were obtained from domestic securities listings, KOSDAQ listings, and externally audited companies, and multiple regression analysis was performed using the data. Gross profit margin and cash flow volatility have a significant positive (+) effect, advertising expenses have a negative (-) significant effect, and inflation and exchange rate rises have a negative (-) significant effect. As an influence, the leading economic index was tested to have a significant positive (+) effect. Through this, it is suggested that manufacturing companies can improve their business performance and achieve operational efficiency by well understanding and appropriately managing factors that can affect the change rate of inventory turnover.

• Environmental and Resource Economics Review
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• v.31 no.4
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• pp.693-710
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• 2022

Social interest in occupational safety and health is increasing due to ESG management and the implementation of the Serious Accidents Punishment Act. This study examines the current status of occupational accidents, which is the safety level of energy companies, and the impact of occupational accidents on the management performance (sales per capita, operating profit per capita, operating margin per capita) of energy companies over the period of 2015 to 2021 was empirically analyzed. As a result of the analysis, the level of occupational accidents in the 157 energy companies to be analyzed was lower than the occupational injury accident rate in Korea, but the disease rate was high.As a result of analyzing the impact of occupational accidents on management performance, it is estimated that an increase in the occupational accident rate reduces per capita sales, per capita operating profit, and gross margin rate.Through this study, the vulnerability of energy companies to occupational accidents was confirmed, and the direct and indirect costs of occupational accidents quantified the negative impact on management performance.Referring to the results of this study, energy companies should strengthen their efforts to prevent occupational accidents by increasing investment in safety and health to protect the lives of valuable workers and create sustainable business performance.

• Journal of the Korea Society of Computer and Information
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• v.19 no.9
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• pp.125-139
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• 2014

In this paper, I propose a response modeling with a Semi-Supervised Support Vector Regression (SS-SVR) algorithm. In order to increase the accuracy and profit of response modeling, unlabeled data in the customer dataset are used with the labeled data during training. The proposed SS-SVR algorithm is designed to be a batch learning to reduce the training complexity. The label distributions of unlabeled data are estimated in order to consider the uncertainty of labeling. Then, multiple training data are generated from the unlabeled data and their estimated label distributions with oversampling to construct the training dataset with the labeled data. Finally, a data selection algorithm, Expected Margin based Pattern Selection (EMPS), is employed to reduce the training complexity. The experimental results conducted on a real-world marketing dataset showed that the proposed response modeling method trained efficiently, and improved the accuracy and the expected profit.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.348-356
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• 2013

This study examines nonpatient revenues of hospital in korea. The data source for this study was the 11 national university hospitals over the period 2008-2012. In this study, patient revenues, patient expenses, operating profit, nonpatient revenues, total revenues, ratio of the nonpatient revenues in the total revenues, operating margin, normal profit to gross revenues were analysed by the annual. The analysis of nonpatient revenue differences by management performance, bed size, location was performed. The results were as follows. Nonpatient revenues of national university hospitals were increased during the period 2008-2012. Nonpatient revenues were no significant differences by management performance. Nonpatient revenues in hospitals which are large bed size and located in big city were larger. Based on these results, this study suggests implications to diversify profitability for management performance in hospitals.

• Korean journal of food and cookery science
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• v.23 no.2 s.98
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• pp.270-279
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• 2007

The purposes of this study were to analyze the profitability of audited restaurant franchise firms and to investigate the financial variables affecting profitability. This study decomposed profit variation into the three main factors comprising the Du Pont Identity (operating efficiency, asset use efficiency and financial leverage). The operating efficiency of restaurant franchise firms was on the rise until 2004, but dropped dramatically in 2005. Especially, the profit margin dropped from 13.46% in 2004 to 6.54% in 2005. The asset use efficiency has been decreasing since 2003. The total asset turnover ratio, which can be indicative of over-investment, dropped from 1.55 in 2003 to 1.50 in 2005. The financial leverage remained stable after 2002. There were major differences in debt accumulation among the firms, and the current level of debt was thought to be higher in the restaurant industry than in other industries. Based on the results of a multiple regression analysis, we concluded that the factors affecting ROE were the debt-equity ratio, total asset turnover and the size of the firm. The debt-equity ratio and total asset turnover had a significantly positive effect on ROE, while the firm size had a significantly negative effect on ROE. However, the current ratio and sales growth rate were not significant. The finding that firm size and profitability were negatively related implied that restaurant franchise firms should pursue qualitative growth rather than quantitative growth. There was no major difference in profitability between domestic brands and foreign brands. However, the domestic brand was more efficient in terms of asset usage than the foreign brand.

• Health Policy and Management
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• v.12 no.4
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• pp.1-17
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• 2002

This study was attempted to identify the liquidity trends and determinants of private hospitals in Korea different. Data used in this study were collected from 98 hospitals with complete general data of present conditions as well as financial statements(balance sheets, income statements). They were chosen from hospitals that passed the standardization audit undertaken by the Korean Hospital Association from 1996 to 2000 for the purpose of accrediting training hospitals. The dependent variables in this study were used current ration and quick ratio as a proxy indicator for liquidity. The independent variables were ownership type, hospital type, location, bed size, period of establishment, short-term liabilities to total assets, long-term liabilities to total assets, borrowings to total assets, fixed asset ration, net profit to total assets, operating margin to gross revenue, growth rate of net worth to total assets, total asset turnover, and business risk(volatility of profit). The major findings of this study were as follows. Trends of liquidity(current ratio, quick ratio) had been continuously decreased. Especially, There were very distinct decreasing trends of personal hospitals and less than 300beds, which weakened liquidity. The factors had significant effect on current ratio were short-term debt to total assets(-), fixed asset ratio(-), business risk(+). High short-term debt to total assets, high fixed asset ratio and high business risk significantly decreased in liquidity. The factors that significantly affected on quick ratio were short-term debt to total assets(-), borrowings to total assets(+), fixed asset ratio(-), business risk(+).

• Korea Journal of Hospital Management
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• v.23 no.4
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• pp.53-64
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• 2018

Purposes: The hospitals needs to generate a minimum profit, in order to perform its own role such as providing high-quality medical services. The demand for hospital management is increasing, as the social demands are diversified and the financial transparency is emphasized. The purpose of this study is to compare hospitals management based on Dupont Identity, by various hospital classification. Methodology: This study is based on '2016 Statistics for Hospital Management' provided by the Korea Health Industry Development Institute. The hospitals were classified according to the scope of care, the type of establishment, the location, and the number of beds. We analyzed the general and financial characteristics of over 337 hospitals using the method of Dupont Identity. Findings: Net profit margin (PM) has the biggest impact on return of equity (ROE). By the number of beds, general hospital with 160-299 beds have the highest return on equity (ROE). By location, hospitals in local municipalities have higher return on equity than hospitals in urban municipalities. According to the type of establishment, public hospitals have lower business performance, and although they invest more than private hospitals. Practical Implications: This study can inspire interest and provide understanding in hospital management and financial structure, by analyzing through an intuitive indicator named Dupont identity. It is possible to provide basic data for hospital management methods for each financial elements, in order to increase the profitability of hospitals.

• Korea Journal of Hospital Management
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• v.27 no.3
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• pp.26-38
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• 2022

Purposes: We analyzed the profitability determinants of regional public hospitals during the entire period between 2010 and 2020 and the period before and after COVID-19. We intended to provide fundamental data for developing publicness evaluation index and task of establishing and expanding regional public hospitals. Methodology: The financial and non-financial information of the regional public hospitals were used as the main analysis data; The financial data was established by the Center for Public Healthcare Policy of National Medical Center, and the non-financial data by the Health Insurance Review and Assessment Service. T-test and regression analysis were used. Findings: The results can be summarized in two. First, the main determinants of profitability of the regional public hospitals were appeared to be the total asset turnover rate and the labor cost rate. Second, during the COVID-19 pandemic in the regional public hospitals, the number of sickbeds, the number of isolation rooms, the total asset turnover rate and the labor cost rate appeared to be the factor worsening the profitability. Practical Implication: The results of this study suggests that the management of the regional public hospitals is not aiming for the profit making, but it performs the functions as the community healthcare safety net such as controlling infectious diseases.

• Journal of Korea Trade
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• v.24 no.8
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• pp.81-100
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• 2020

Purpose - Based on complexity theory, this study develops a configurational model to predict the profitability of Halal cosmetics firms in the Indonesian and Malaysian markets. The proposed research model involves two level configurations-industry context and selling strategies-to predict high and low scores of a firm's profitability. The industry context configuration model comprises industry stability, product homogeneity, price sensitivity, and switching cost. Selling strategies include customer-focused, competitor-focused, and margin-focused approaches. Design/methodology - This is the first empirical study that calculates causal models using a combination of industry context and selling strategy factors to predict profitability. Data obtained from the marketing managers of cosmetics firms are used to test the proposed configurational model using fuzzy-set qualitative comparative analysis (fsQCA). It contributes to the current knowledge of business marketing by identifying the factors necessary to achieve profitability using analysis of condition (ANC). Findings - The results revealed that unique and distinct models explain the conditions for high and low profitability in the Indonesian and Malaysian halal cosmetic markets. While customer-focused selling strategy is necessary to attain a higher profit in both the markets, margin-focused selling strategy appears to be an essential factor only in Malaysia. Complexity of the interactions of selling strategies with industry factors and differences between across two study markets confirmed that complexity theory can support the research configurational model. The theoretical and practical implications are also illustrated. Originality/value - Despite the rapid growth of the global halal industry, there is little knowledge about the halal cosmetic market. This study contributes to the current literature of the halal market by performing a set of asymmetric analytical approaches using a complex theoretical model. It also deepens our understating of how the Korean firms can approach the Muslim consumer's needs to generate more beneficial turnover/revenue.