• Journal of Applied Reliability
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• v.16 no.2
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• pp.78-89
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• 2016

Purpose: In this paper, we investigate whether the endeavors for Six Sigma quality management by a firm have positive effects on its financial performance and the length of Six Sigma implemented period affects its financial status. We find a relationship between Six Sigma implemented period and several financial performance index using a smoothing spline function. Methods: A smoothing spline function is used in order to analyze the relationship between efforts for quality management and financial performance. Specifically, the return on assets, return on equity, sales cost and business fee are investigated as dependent variables and the efforts for quality management as independent variable. Results: As a result of the analysis, the indication is that companies that put effects into the Six Sigma quality management have a positive result in its financial status. In detail, the efforts for Six Sigma quality management have positive effects on total asset turnover ratio and Six Sigma implemented period on net income to net sales ratio. Additionally, companies with longer (shorter) period of Six Sigma program have more (less) improvement in its financial status. Conclusion: It can be concluded that the company's efforts for quality management positively influence financial performance.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.4
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• pp.9-17
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• 2019

The purpose of this research is to review historical development of Islamic finance in individual East Asian economies, including China, Japan, South Korea and Hong Kong, and examine the success factors of the Hong Kong Sukuk issuances in 2014-2017. The research is a qualitative study applying case study method. It is found that the East Asian economies do play efforts to develop their Islamic capital markets although they have very limited size of Muslim population. Their progress on this development generally remains to be slow. The Hong Kong Sukuk is a breakthrough, carrying a total issuance value of US$3 billion. The Sukuk issuances, treated as a kind of asset-backed securities with restrictions on financing purposes, are distributed to international investors by investment banks from Hong Kong, Middle East and Malaysia. Success factors of these issuances include involvement of an issuer with high credit quality, recognition by central bank for using the Sukuk in its discount facility for commercial banks, centralized clearing services for the Sukuk and global banking network for underwriting the Sukuk. The lessons from the Hong Kong Sukuk are good references for other economies to develop their regional Islamic capital markets and to integrate the markets into the global capital market.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.18
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• pp.8211-8214
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• 2016

Background: Having a conscience is one of the main pre-requisite of providing nursing care. The knowledge regarding levels of conscience among nurses in eastern countries is limited. So, the purpose of this study was to examine the level of conscience and its related factors among Iranian oncology nurses. Materials and Methods: This descriptive-correlational study was conducted in 3 hospitals in Tabriz, Iran. Overall, 68 nurses were selected using a non-probability sampling method. The perceptions of conscience questionnaire was used to identify the levels of conscience among nurses. The data were analyzed using SPSS version 13.0. Results: The mean nurses' level of conscience scores was 72.7. In the authority and asset sub-scales nurses acquired higher scores. The mean of nurses' scores in burden and depending on culture sub-scales were the least. Also, there were no statistical relationship between some demographic characteristics of participants and their total score on the perceptions of conscience questionnaire. Conclusions: According to study findings Iranian nurses had high levels of conscience. However, understanding all the factors that affect nurses' perception of conscience requires further studies.

• Journal of the Korean housing association
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• v.28 no.3
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• pp.75-83
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• 2017

The purpose of this study was to identify some residential characteristics of Post-retirement and characteristics of the Continuing Care Retirement Communities (CCRCs) favored by those baby-boomer generations soon retiring. A web-based online survey was conducted with middle-class baby-boomers living in the Seoul-Incheon-Gyengki capital area and the five metropolitan cities of Korea between 9th and 20th of February in 2017. A total 0f 507 responses were valid for statistical analysis. The findings obtained that they preferred living Urban outskirts after retirement; Desired area of post-retirement was differentiated depending on asset and educational attainment; 63.4% of respondents had no intentions to live with adult child; a combination of independent living and assisted living was the most preferred form of the CCRCs; Over 80% of respondents had intention to live in independent living, assisted living and nursing home; and Intention to live in assisted living and nursing home was differentiated depending on Intention to live with adult child. Among the four Community-linked types, the Hospital-based one was most popular. The University-based and Religion-based ones were then preferred by females than males. The results obtained here can be used for reflecting the residents needs when planning the CCRCs in Korea.

• KIEAE Journal
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• v.13 no.4
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• pp.55-62
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• 2013

Korea Government have carried out various policies to reduce the energy consumption that cause the global warming and environmental pollution. Energy consumption of buildings in Korea has reached 24% of total energy quantities and energy consumption of apartment has been continuously increasing. It has executed the building energy efficiency rating system and energy performance assessments and certification systems have been in force to save energy consumption of buildings. Therefore, this study tried to asset the energy performance of apartment according to the shapes of unit plan, and then to evaluate the energy performance of apartment according to altering balcony area into living area in the unit plan of apartment and thus, to present the effective unit plan to reduce the energy consumption. According to the results, in case of standard unit plan, the 3Bay and 4Bay unit plans showed more effective energy consumption than the 2Bay unit plan, respectively, 5%, 6%, and in case of extended unit plan, respectively, 2%, 5%. Compared the energy efficiencies of the standard unit plan to the extended unit plan, the standard one showed more effective energy consumption than the extended one, respectively, 2% in case of the 2Bay and 4Bay unit, 5% of the 3Bay unit.

• Journal of the Korean Home Economics Association
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• v.47 no.1
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• pp.25-43
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• 2009

The purpose of this study was to find how economic structures differ among four different household groups('enough', 'so so', 'a little difficult', 'very difficult') classified by subjective evaluation on their economic conditions. The data were drawn from 2004 Korean Labor and Income Panel Study conducted by Korea Labor Institute, and $X^2$-test and F-test were utilized by SPSS for Windows 10.0. The major findings were as following. First, the economic levels of household groups of 'enough' and 'so so' showed to be higher than the average. This result implies that households tend to evaluate by themselves their economic conditions comparing to the others. Second, the deviations of average economic levels among four different household groups were relatively bigger in household economic elements of liquid asset, monthly savings and insurance than the others, and relatively smaller in household economic elements of total expenditure, especially expenditures in food at home, education, medical, communication than the others. Third, the households of 'a little difficult' and 'very difficult' showed undesirable economic structures resulting from lack of savings and insurance for their future.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.11-18
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• 2020

This paper analyzes factors affecting enterprise's financial risk listed on the Vietnam stock market. The panel data of research sample includes 524 non-financial listed enterprises on the Vietnam stock market for a period of eleven years, from 2009 to 2019. The Generalized Least Square (GLS) is employed to address econometric issues and to improve the accuracy of the regression coefficients. In this research, financial risk is measured by the Alexander Bathory model. Debt structure, Solvency, Profitability, Operational ability, Capital structure are independent variables in the study. Firm Size, firm age, growth rate are control variables. The model results show that in order to prevent and limit financial risk for enterprises listed on the Vietnam Stock Market, attention should be paid to variables reflecting Liability structure ratio, Quick Ratio, Return on Assets, Total asset turnover, Accounts receivable turnover, Net assets ratio and Fixed assets ratio. The empirical results show that there are differences in the impact of these factors on the financial risk in state-owned enterprises and non-state enterprises listed on the Vietnam stock market. The findings of this article are useful for business administrators, helping business managers make the right financial decisions to improve the efficiency of financial risk management in enterprises.

• The Journal of Information Systems
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• v.12 no.2
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• pp.1-20
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• 2003

This paper deals with the application of the genetic algorithm to the technical trading rule of the stock market. MACD(Moving Average Convergence & Divergence) and the Stochastic techniques are widely used technical trading rules in the financial markets. But, it is necessary to determine the parameters of these trading rules in order to use the trading rules. We use the genetic algorithm to obtain the appropriate values of the parameters. We use the daily KOSPI data of eight years during January 1995 and October 2002 as the experimental data. We divide the total experimental period into learning period and testing period. The genetic algorithm determines the values of parameters for the trading rules during the teaming period and we test the performance of the algorithm during the testing period with the determined parameters. Also, we compare the return of the genetic algorithm with the returns of buy-hold strategy and risk-free asset. From the experiment, we can see that the genetic algorithm outperforms the other strategies. Thus, we can conclude that genetic algorithm can be used successfully to the technical trading rule.

• The Journal of Asian Finance, Economics and Business
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• v.4 no.1
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• pp.5-18
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• 2017

Total debt in the People's Republic of China surged to nearly 290% as a ratio to GDP by the second quarter of 2016, mostly on account of non-financial corporate debt. The outpouring of credit to stem the impact of the global financial crisis accentuated industrial overcapacity in traditional sectors, such as steel, cement, and energy, while feeding asset bubbles in the property, equity and bond markets. At the Chinese corporate level, this has translated into weakened fundamentals and a fall in industrial profits, particularly of SOEs. As debtors struggle to service interest payments, non-performing loans (NPLs) have been on the rise. This paper assesses the financial fragility of the Chinese economy by looking at risk factors in the non-financial sector. We apply quantile regressions to a dataset containing all Chinese listed companies in Standard & Poor's IQ Capital database. We find higher sensitivity over time of corporate leverage to some of its key determinants, particularly for firms at the upper margin of the distribution. In particular, profitability increasingly acts as a curb on corporate leverage. At a time of falling profitability across the Chinese non-financial corporate sector, this eases the brake on leverage and may contribute to its continuing increase.

• Journal of Korean Society of Water and Wastewater
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• v.25 no.2
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• pp.141-152
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• 2011

In this study, we extracted effective factors of pipe burst from the status data of water asset, operating data of pressure, volume and etc. and 7 years' pipe burst and repair records. The extracted factors were sorted by each attribution and then a statistical analysis was performed to generate a pipe burst probability function using the logistic regression model. As the result, material, diameter, length, laying year, pressure and road width affected to pipe burst significantly. Especially, in case of small diameter, laying year was most effective factor and in case of steel pipe, external loading was main cause of burst, and in case of cast iron, PE, PC, HP pipes, the deterioration of joint was main cause. The other side, as a result of Hosmer-Lemeshow goodness of fit test the models are turned out significant statistically. Also the classification criteria were determined to minimize the total cost from classification errors, when the predicted probability was more than 18% this pipe could have a chance of burst.