• Journal of Information Technology Applications and Management
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• v.22 no.2
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• pp.201-217
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• 2015

In this paper, we report computational testing result to examine the validity of firm's bankruptcy risk estimation through quantification of supply chain risk. Supply chain risk in this study refers to upstream supply risk and downstream demand risk, To assess the firm's risk affected by supply chain risk, we adopt unit of analysis as industry level. since supply and demand relationships of the firm could be generalized by the industry input-output table and the availability of various valid economic indicators which are chronologically calculated. The research model to estimate firm's risk level is the linear regression model to assess the industry bankruptcy risk estimation of the focal firm's industry with the independent variables which could quantitatively reflect demand and supply risk of the industry. The publicly announced macro economic indicators are selected as the candidate independent variables and validated through empirical testing. To validate our approach, in this paper, we confined our research scope to steel industry sector and its related industry sectors, and implemented the research model. The empirical testing results provide useful insights to further refine the research model as the valid forecasting mechanism to capture firm's future risk estimation more accurately by adopting supply chain industry risk aspect, in conjunction with firm's financial and other managerial factors.

• Journal of the Korean Home Economics Association
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• v.42 no.12 s.202
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• pp.55-67
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• 2004

The purpose of this study was to investigate the associations between adolescent risk behaviors and correlates of risk behaviors. Questionnaires were completed by 955 high school freshmen in the Daegu${\cdot}$Kyungpook area and included measures of risk behaviors, coping, self-esteem, social competence, attitudes toward risk behaviors, parental attachment, autonomy, parental monitoring, and peers' risk behaviors. The major findings were as follows. (1) Parental attachment, autonomy, and appropriate parental monitoring were positively correlated with adolescent coping, self-esteem, social competence, and peers' desirable behaviors, but were negatively associated with peers' risk behaviors and attitudes toward risk behaviors. (2) Of all the variables, peers' risk behaviors and favorable attitudes toward smoking had the greatest influence on adolescent drinking and smoking, following by favorable attitudes toward drinking, social competence, and gender (3) Similar to adolescent drinking and smoking, of all the variables, peers' risk behaviors had the greatest influence on adolescent delinquency, following by favorable attitudes toward smoking and gender.

• Journal of the Korean Home Economics Association
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• v.41 no.11
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• pp.49-60
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• 2003

The purposes of this study were (1) to assess the perceived evaluation of family financial risk safeguards and (2) to identify demographic variables, financial security and financial communication which were an influence on the perceived evaluation of family financial risk safeguards. The data were collected from 598 housewives using an on-line survey. The major findings of this study were as follows: first, the perceived evaluation of financial risk safeguards was lower than the median(2.80). Especially, the perceived evaluation of financial risk safeguard for children's education had the highest score. Second, the variables which were an influence on the financial communication of husbands and wives were‘financial security’ and ‘years which they have been married’. Third, the perceived evaluation of financial risk safeguards was significantly different according to financial security and the financial communication of husbands and wives.

• Journal of Industrial Technology
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• v.29 no.A
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• pp.101-110
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• 2009

Due to frequent occurrence of a localized torrential downpour caused by global warming and change of outflow tendency caused by rapid urbanization and industrialization, risk analysis must be carried out in levee design with uncertainty. In this study, reliability analysis was introduced to quantitatively evaluate the overtopping risk of levee by the uncertainty. First of all, breaking function was established as a function of flood stage and height of levee. All variables of breaking function were considered as random variables following any distribution functions, and the risk was defined as the possibility that the flood stage is formed higher than height of levee. The risk evaluation model was developed with AFDA (Approximate Full Distribution Approach). The flood stage computed by 2-D numerical model FESWMS-2DH was used as input data for the model of levee risk evaluation. Risk for levee submergence were quantitatively presented for levee of Wol-Song-Cheon.

• Korean Journal of Adult Nursing
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• v.18 no.3
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• pp.426-435
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• 2006

Purpose: The purpose of this study was to explore the predictors of cardiovascular risk factors among type 2 diabetic patients. Method: Data were collected from November, 2003 to June, 2004 using a physiological index and questionnaires. Patients(N=159) aged 40 and above were conveniently recruited from health care centers in B city. Data were analyzed with descriptive statistics, Pearson correlation and stepwise multiple regression using SPSS WIN 10.0 program. Results: The cardiovascular risk factors were negatively related with female gender, household monthly income, educational experience about diabetes, physical activity, self-care, self-efficacy and problem oriented coping, while positively related with the duration of diabetes, diabetic family history and depression. Self-care, diabetic family history, female gender, monthly household income, self-efficacy, affective-oriented coping and physical activity predicted 41.5% of the variance in cardiovascular risk factors of diabetic patients. Conclusion: According to the findings of this study, we concluded that cardiovascular risk factors of type 2 diabetic patients are related to the modifiable and non-modifiable variables. Self-care, self-efficacy, affective oriented coping, and physical activity were identified as modifiable variables. Intervention programs to increase those variables are warranted to reduce cardiovascular risk factors among type 2 diabetic patients.

• Journal of the Korean Society of Safety
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• v.39 no.2
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• pp.9-21
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• 2024

Static-electricity-induced fires and explosions persistently occur every year, averaging approximately 80 and 20 cases annually according to fire statistics provided by the National Fire Agency and industrial accident statistics provided by the Ministry of Employment and Labor, respectively. Despite the relatively low probabilities of these accidents, their potential risks are high. Consequently, effective risk assessment methodologies and accident investigation strategies are essential for efficiently managing static-electricity hazards in fire- and explosion-prone areas. Accordingly, this study aimed to identify the causal variables essential for accident investigations, thereby facilitating risk assessments and the implementation of effective recurrence prevention measures to mitigate static-electricity hazards in fire-and explosion-prone regions. To this end, industrial accident statistics recorded over the past decade (2012 to 2021) by the Ministry of Employment and Labor were analyzed to identify major fire and explosion incidents and related industrial accidents wherein static electricity was identified as a potential ignition source. Subsequently, relevant investigation reports (63 cases) were thoroughly analyzed. Based on the results of this analysis, existing electrostatic fire and explosion risk assessment techniques were refined and augmented. Moreover, factors essential for investigating electrostatic fire and explosion disasters were delineated, and the primary causal variables necessary for effective risk assessments and scientific investigations were derived.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.555-565
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• 2020

This study examines the determinant factors affecting young people in preparing entrepreneurship in Indonesia. This study involved several variables, including the need for achievement, risk perception, locus of control, entrepreneurial attitude to predict entrepreneurial intention, and preparation for entrepreneurship among young people. The approach utilized in this study was a quantitative research design using a survey model. The participants of this study were recruited from young people in East Java, Indonesia. Structural equation modeling with Partial Least Square (SEM-PLS) was implemented to test the hypotheses and the relationships between variables. The findings of this research showed that the attitudes toward entrepreneurship and entrepreneurial intention of young people in Indonesia are determined by several variables such as the need for achievement, risk perception, and locus of control. The correlation between variables showed one positive direction in which all independent variables can influence dependent variables. Additionally, the result of this study confirms a robust relationship between the attitude toward entrepreneurship and preparing for entrepreneurship among young people. Lastly, this study showed a positive correlation between entrepreneurial intention and preparation for entrepreneurship. This study suggests that government institutions and universities need to be concerned about entrepreneurial programs to promote young entrepreneurs.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.77-93
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• 2022

In this study, we present an algorithm that analyzes the risk by reflecting regional characteristics for factors affected by direct and indirect damage from heavy-snow. Factors affected by heavy-snow damage by 29 regions are selected as influencing variables, and the concept of sensitivity is derived through the relationship with the amount of damage. A snow damage risk prediction model was developed using a machine learning (XGBoost) algorithm by setting weather conditions (snow cover, humidity, temperature) and sensitivity as independent variables, and setting the risk derived according to changes in the independent variables as dependent variables.

• Korean Journal of Child Studies
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• v.18 no.1
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• pp.109-123
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• 1997

The purpose of this study was to examine the relationships between adolescent sensation-seeking and risk behavior. This study was based on Zuckerman's model which states that the higher the sensation-seeking score, the higher the risk behavior score. The subjects were 460 third year high school adolescents in Seoul. Instruments were the Arnett Inventory on Sensation-Seeking and questionnaires on risk behavior as well as demographic variables. Statistical procedures were T-test, F-test, correlation, and heirarchical regression analysis. Sex was the only demographic variable related to sensation-seeking scores; there were differences in risk behavior score by father's education, mother's education and father's occupation; adolescent sensation-seeking and demographic variables (father's education, mother's education, and father's occupation) influenced adolescent risk behaviors.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.467-467
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• 2012

As the features of recent flood are spatially concentrated, loss of life and property increase by the impact of climate change. In addition to this the public interest in water control information is increased and socially reasonable justification of water control policy is needed. It is necessary to estimate the flood risk in order to let people know the status of flood control and establish flood control policy. For accurate flood risk analysis, we should consider inter-relation between causal factors of flood damage. Hence, flood risk analysis should be applied to interdependence of the factors selected. The Bayesian networks are ideally suited to assist decision-making in situations where there is uncertainty in the data and where the variables are highly interlinked. In this research, to provide more proper water control information the flood risk analysis is performed using the Bayesian networks to handle uncertainty and dependency among 13 specific proxy variables.