• Journal of the Korean Society of Hazard Mitigation
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• v.9 no.6
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• pp.99-109
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• 2009

In this study, often the spatial distribution of precipitation was analyzed using the quantile with regional frequency analysis and spatial analysis to find out the detail distribution of extreme precipitation for preventing the disaster in the region of Gangwon. The hourly precipitation data of 66 stations in Gangwon were used. As the results of regional frequency analysis, it shows that the generalized logistic (GLO) distribution is the best for the region of Gangwon. As the results of spatial analysis, the quaniles have high vaules nearby Seolakdong, Daegwallyeong and Cheongil as the duration of precipitation increase, and the change of spatial distribution occurs severely according to the duration of precipitation. The spatial characteristics of precipitation appears clearly as the return period of quantile increases. As the results of the spatial distribution of precipitation in Gangwon heavy quantiles usually are appeared in Yongdong, and the spatial distributions of quantile in Yongseo are various according to the duration and the return period of quantile. Therefore, to estimate more accurate quantiles in Gangwon, various geographical and weather conditions are considered additionally for the regional precipitation frequency analysis.

• The Journal of the Korea Contents Association
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• v.12 no.2
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• pp.369-387
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• 2012

Based on the survey data, this study focused venture firms examines how organizational resources and capabilities along with its external environmental conditions have an effect on its strategy and performance. In particular, this article attempts, by performing a binary logistic regression analysis, to identify the venture-specific importance and priority of the factors that may influence firms' strategy patterns, with multiple regression analysis on the relationships between some variables included in the model. The survey was conducted from October 1, 2010 through October 30, 2010. The results of this study are the following. First, the more firms are exposed to high industry growth and low competitive intensity, the higher chance they get to pursuit aggressive strategy. And then a firm seeks aggressive strategy, when it has more technological resources and human resources. Third, environmental uncertainty, industry growth, technological resources, human resources, financial resources and marketing capabilities have positive effects on firm's performance. But, competitive intensity has no direct influence firm's performance. Finally, CEO competence directly influences firm's performance, but the interaction. of CEO competence with other variables is not significant.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.402-412
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• 2012

The purpose of this study was to analyze the types of Brand name spectrum for hospitals, and to analyze the differences of types depending on the characteristics of hospitals. Study data was collected from the yearbook of Korean Hospital Association in 2008. The hospital's name was divided into meaningful words and then the spectrum type of hospital name was decided based on the meaning of words. Hospital variables were used to investigate the difference of the types of brand name spectrum among hospitals. The study results showed that arbitrary name was the most frequently used in hospitals, then followed by the suggestive name, descriptive name, and then coined name. In arbitrary name, district name and person's name were most frequently used as the hospital name. Although most hospitals had one type of naming spectrum, some hospitals had types more than two. When hospital managers are developing hospital name, they will need to consider not only how it can provide the unique images to customers, but also how they protect their brand in legal aspects.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.519-529
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• 2020

The purpose of this study is to establish a model for predicting academic achievement of college students and to reveal the interrelationship and relative influence of each factor. For this, we surveyed the personal factors and learning strategy factors of 1,310 learners at J University, and analyzed the discriminant factors and patterns of the predictors of academic achievement through the decision tree analysis, a data mining method, and examined the relative effects of each factor. Binary logistic regression analysis was performed for viewing. As a result, the most important factor for predicting academic achievement was efficacy, and other factors such as motivation, time management, and depression were predictive of academic achievement. The patterns of factors predicting academic achievement were found to be high in efficacy and time management, and high in motivation for learning even if the efficacy was moderate. Low efficacy and learning motivation, and high depression have been shown to decrease academic achievement. Based on these results, the study suggested the efficacy and motivation to improve academic achievement of college students, strengthening time management education, and managing negative emotions.

• Journal of the Korea Society for Simulation
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• v.22 no.3
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• pp.25-33
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• 2013

The research focuses on the method to improve the Logistics considering investigating the present state of the fast growing social commerce. The improving Logistics is the jointed transport system, which proposes the concept of the packaged delivery for customers in same area and the condition-specific benefits as the transport cost and delay period. Customers in this system will obtain the advantage as the decrease of transport cost and social commerce companies will make the effect about growing the number of customer and the sales by the lowest price in the online markets. There are 7 scenarios for simulation. The performance assessment of the results from simulation is carried out by total number of orders, finished number of orders, sales, delivery times, delivery cost, earlier rate of delivery, and fluctuation of number of wrong delivery. The results of the research show that the total number of orders, finished number of orders and sales are increased, while the times and cost of delivery are decreased.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.3
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• pp.28-38
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• 2017

The study is to analyze the aggressive driving behavior in the protected/permissive left turn(PPLT) intersections in Gunsan City. As a result of the logistic regression model, increasing of driver's age and driving experience, non-peak time, no company, sedan and male have a tendency to behave aggressive driving to the opposite vehicles. When the vehicles try to turn the unprotected left in the PPLT intersection, the opposite vehicle drivers recognize them at the aggressive driving behavior if the distance to opposite vehicles is not enough. The relationship between driver characteristics and the distance to the opposite vehicles is analyzed under aggressive driving behavior. increasing of age and company, peak time tend to influence the short distance opposite vehicles while male and higher driving experience the middle and long distance. Sedan has the aggressive possibility to shorter distance opposite vehicles rather than others.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.13-25
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• 2016

This paper analyses the impacts of the characteristics of policyholder and contract on the lapse of Voluntarily Insured Person in National Pension, using the recent lapse data from National Pension Service. The logistic regression model is used in examining lapse odds with several independent variables. The result demonstrates several hypotheses of the lapse behaviors. First, the lapse odds of men is lower than that of women. Second, the effect of age on lapse odds shows concave shave with the peak at 37. Third, insured period has a negative effect on lapse odds in entrants sample. Fourth, standard monthly income has little effect on lapse in either sample. Fifth, the lapse odds decreases as the expected benefit ratio increases. Sixth, 2013 pension bill resulted in the sharp increase of lapse odds and the effect was greater for entrants. Last but not least, spatial environment such as residence also affects the lapse behavior.

• Journal of Korea Port Economic Association
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• v.26 no.2
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• pp.19-35
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• 2010

The purpose of this paper is to develop a benchmark of performance standards for Global Logistics Provider in the merging logistics market. The Data Envelopment Analysis (DEA) can be employed to compare and analyse the efficiencies of Global Logistics Provider(3PL, 4PL). That is because Global Logistics Providers are able to reach the highest level of efficiency by using Logistics institutions and Logistics service systematically. This research is focused on analyzing the efficiencies of top 40 Global Logistics Providers. The framework assumes that the Providers use three inputs to produce one output. The inputs include number of employees information system, and number of warehouses. The output is the annual turnover. The results show that Panalpina, C.H. Robinson Worldwide, Maersk Logistics/Damco, Hub Group, Lander Global Logistics on Global Logistics Providers are the efficient providers. This paper also allows the inefficient DMUs to establish their benchmarking strategies. The strategies are dependent on the assets such as number of employees, information system, and number of warehouses.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.493-509
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• 2018

This study was performed to compare the effects of health behaviors, dietary habits, and psychological health on metabolic syndrome (MS) between young adults living in one-person households (OPHs) and multiple-person households (MPHs). The data from the Korean National Health and Nutrition Examination Survey (KNHANES), which was conducted in 2014 and 2016 were used. The subjects were 2,682, who were 20 to 39 years old. The data were analyzed using complex sample Rao-Scott ${\chi}^2-tests$, t-tests, and multiple logistic regression using SPSS 23.0 software. Sex, age, obesity, and subjective health status were associated with MS in young adults living in either OPHs or MPHs. Breakfast consumption frequency, eating alone, food label use, stress, and depression were associated with MS only in young adults living in OPHs. Thus, these differentiated risk factors of MS should be considered, when health promotion strategies and interventions are planned for young adults living in OPHs. Also, further studies are needed to evaluate the effectiveness of the strategies or interventions.

• Journal of Preventive Medicine and Public Health
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• v.34 no.1
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• pp.21-27
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• 2001

Objectives : To develop a model that will predict the mortality of patients undergoing Coronary Artery Bypass Graft (CABG) and evaluate the perfermance of hospitals. Methods : Data from 564 CABGs peformed in six general hospitals were collected through medical record abstraction by registered nurses. Variables studied involved risk factors determined by severity measures. Risk modeling was performed through logistic repression and validated with cross-validation. The statistical performance of the developed model was evaluated using c-statistic, $R^2$, and Hosmer-Lemeshow statistic. Hospital performance was assessed by severity-adjusted mortalities. Results : The developed model included age, sex, BUN, EKG rhythm, Congestive Heart Failure at admission. acute mental change within 24 hours, and previous angina pectoris history. The c-statistic and $R^2$ were 0.791 and 0.001, respectively. Hosmer-Lemeshow statistic was 10.3(p value=0.2415). One hospital had a significantly higher mortality rate than the average mortality rate, while others were net significantly different. Conclusion : Comparing the quality of service by severity adjusted mortality rates, there were significant differences in hospital performance. The severity adjusted mortality rate of CABG surgery may He an indicator for evaluating hospital performance in Korea.