• Journal of the Korea Convergence Society
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• v.8 no.9
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• pp.105-115
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• 2017

The purpose of this study is to find the railroad work characteristics that influence stress of workers in the field of Railroad electricity including railroad signaling. After a self-administered questionnaire survey was conducted from Feb. 13 to Mar. 10 of the year 2017, 445 questionnaire copies were analyzed. Objective work characteristics include total working period, current workplace, work type, train service count, train line type, a type of train in charge, failure/accident participation count, work on holidays, and work hours. Subjective work characteristics include work life satisfaction and subjective work intensity. According to bivariate analysis, stress was different depending on all railroad work characteristics. According to multivariate analysis, total working period, train service count, a type of train in charge, work on holidays, work life satisfaction, and subjective work intensity were found to be influential factors. The moderating effect of subjective work characteristics was not found in the relation between objective work characteristics and stress. Therefore, it is necessary for companies to pay attention to the influential factors on stress and manage stress.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.210-218
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• 2021

This study was conducted to provide a basis for developing strategies to improve the intention to quit smoking by identifying the factors affecting the smoking cessation intention of male smokers living in Seoul who have not tried to quit smoking in the past year. The components of the planned behavioral theory were used to identify the influencing factors. The research data were analysed secondary data used in the study performed by the Korea Centers for Disease Control and Prevention in 2020. As a result of the univariate analysis, the factors affecting the smoking cessation intention rate were the average daily smoking amount and the components of the TPB. As a result of multivariate logistic regression analysis, the subjective norm and the perceived behavior control factor among the components of the TPB had statistically significant differences. Therefore, in order to increase the intention to quit smoking, it would be effective to use strategies that strengthen the strong recommendations from significant others and the smoker's self control.

• Journal of the Korea Society of Computer and Information
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• v.19 no.10
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• pp.125-133
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• 2014

This paper develops a bankruptcy prediction model on an Artificial Neural Network for hotel management. A bankruptcy prediction model has a specific feature to predict a bankruptcy of the whole hotel business after evaluate bankruptcy possibility on the basis of business performance data of each branch. here are many traditional statistical models for bankruptcy prediction such as Multivariate Discriminant Analysis or Logit Analysis. However, we chose Artificial Neural Network because the method has accuracy rates of prediction better than those of other methods. We first selected 100 good enterprises and 100 bankrupt enterprises as experimental data and set up a bankruptcy prediction model by use of a tool for Artificial Neural Network, NeuroShell. The model and its experiments, which demonstrated high efficiency, can certainly provide great help in decision making in the field of hotel management and in deciding on the bankruptcy or financial solidity of each branch of serviced residence hotel.

• Korean Journal of Construction Engineering and Management
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• v.17 no.3
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• pp.13-22
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• 2016

Remodeling of multi-family house (MFH) has emerged as a major issue in the construction industry. Many decision-makers are struggling to determine whether to conduct a remodeling because of insufficient information including standard or method for projecting the price of their facilities after remodeling works. In this context, this research has conducted for analyzing how the price of the MFH is shifted by remodeling works. To achieve this research goal, (i) fourteen MFH remodeling cases were collected and (ii) price variation for the collected cases was analyzed in order to figure out how remodeling work affects the price of MFH cases. Finally, this research suggested the factors determining price of the MFH, wherein remodeling work has been conducted. From the results of this research, it is expected that the decision-makers can understand what is the crucial factors for determining the price of their MFH when they plans remodeling, and further this research can be a corner stone for developing a model for predicting the price of MFH if remodeling would be performed.

• The Journal of the Korea Contents Association
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• v.17 no.6
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• pp.98-105
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• 2017

The medical institution considers liability management problems as a direct factor in managerial risks, such as bankruptcy. Cash Flow provides useful information to necessary funds and predicting bankruptcy. The study for 24 general hospitals and 23 hospitals, a regression analysis was performed to determine the impact of cash flows on the debt repayment capability, a multivariate discrimination analysis was conducted to find out how to manage cash flow for the risk posed by debt. The analysis results, For general hospitals, the level of debt repayment capability was done to net income, increase of payables from operating activities and decrease of patient receivables and inventories from operating activities. If there is no dept repayment capability, it is necessary to increase the net income, increase the expenses not involving cash outflows, decrease of patient receivables and increase of payables from operating activities. For hospitals, the level of debt repayment capability was done to net income, increase of expenses not involving cash outflows and payables from operating activities, decrease of income not involving cash inflows, decrease of patient receivables and inventories from operating activities. If there is no dept repayment capability, it is necessary to increase of payables from operating activities.

• Journal of the Korea Convergence Society
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• v.11 no.6
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• pp.95-103
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• 2020

The aim of this study was to confirm the association between obesity and periodontitis in adults and identify the convergence relationship between periodontal disease and health-related behavior at each stage of obesity among 10,058 adults aged 30-79 years from the 7th National Health and Nutrition Survey data. We performed chi-square tests and multivariate logistic regression analyses, adjusting for demographic characteristics and health status. We found that the higher the obesity stage, the higher the risk of periodontitis. Smoking, not using oral care products, and not attending dental check-ups were associated with periodontitis. In addition, we found a difference in influence factors according to the stage of obesity. Increase in obesity stage is a negative influence on the prevalence of periodontitis. Hence, an oral health program should be applied to the obesity management process.

• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.89-97
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• 2020

This study aimed to identify the association between each stage of Community periodontal index of treatment needs (CPITN) and oral health behaviors. Multivariate logistic regression analysis was performed on the data obtained from 11,002 adults aged between 19 and 79 years, using data from the 7th Korea National Health and Nutrition Examination Survey. When interdental care products such as floss or interdental brush were used, the risk of CPITN1 to CPITN3 and periodontitis was significantly reduced. Brushing more than 3 times a day significantly reduced the risk for CPITN1 and CPITN2, and dental check-ups reduced the risk for CPITN1, CPITN2, and periodontitis. There were differences in related factors depending on the stage of CPITN and periodontitis. Therefore, it is essential to include training on the use of interdental care products in oral health education. In addition, it will be helpful educate subjects on select oral health behaviors based on their periodontal status.

• The Korean Journal of Financial Management
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• v.20 no.1
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• pp.125-162
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• 2003

This paper investigates the short- and long- run relationship among Korean, U.S. and Japanese construction indices. We conducted the Johansen's cointegration tests on the hypotheses that the construction indices of three countries we related in the long-run as well as in the short-run. The test results show that there exists no long-run relationship among three countrie's construction indices. In addition, the cointegrating relation did not exist for three countrie's stock market indices and five major Korean construction firms. It fumed out that the U.S. indices Granger-causes Japanese and Korean indices. This finding implies that there may exist international diversification benefit through forming a portfolio from these indices.

• The Korean Journal of Applied Statistics
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• v.24 no.4
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• pp.597-607
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• 2011

Value at Risk(VaR) is being widely used as a simple tool for measuring financial risk. Although VaR has a few weak points, it is used as a basic risk measure due to its simplicity and easiness of understanding. However, it becomes very difficult to estimate the volatility of the portfolio (essential to compute its VaR) when the number of assets in the portfolio is large. In this case, we can consider the application of a dimension reduction technique; however, the ordinary factor analysis cannot be applied directly to financial data due to autocorrelation. In this paper, we suggest a dimension reduction method that uses the time-series factor analysis and DCC(Dynamic Conditional Correlation) GARCH model. We also compare the method using time-series factor analysis with the existing method using ordinary factor analysis by backtesting the VaR of real data from the Korean stock market.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.8
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• pp.3726-3734
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• 2012

This study evaluated the behavior of pollutants based on the seasonal change by selecting the branch river's factors that influence the outflow of pollutants in Soyang lake basin. The analysis method was the factor analysis that classified the factors of the drainage area influencing the outflow of pollutants, and evaluated selected representative factors. As a result of the study, SS and T-P factors should be classified as similar factors to the storm water runoff, and the improvement of water must be strived through managing source of pollution at the time of no rain. Second, as the result of the influence from the factors, spring and winter seasons usually exert 36% influence and summer and fall exert over 90% significant influence that the improvement of water through managing source of water seems possible. At last, the prediction about delivery pollution load considering the outflow characteristic of pollutants at the drainage area based on seasonal change by regarding selected factors as independent variables is possible.