• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.58 no.3
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• pp.251-261
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• 2022

Tuna purse seine fishery (TPF) constitute more than 60% of distant water fishery production in Korea based on a statistic of 2018, and 28 ships from four different companies were under operation at the western and central Pacific Ocean. On this research, common risk factors during TPF were investigated via enumeration of five years Korean fisherman's insurance payment statement, followed by some counterplans to diminish the accident rate. The accident rate of TPF on the Pacific Ocean peaked by 43.0% in 2014 and constantly decreased to 23.0% until 2018, presenting an average of 33.6%. Meanwhile, the accident rate on the Indian Ocean reached the highest point 55.1% in 2014 and declined to 11.6% in 2016, having an average of 24.7%. The average accident rate of the Indian Ocean scored 8.9% lower than the rate of the Pacific Ocean, but no statistic significance was observed. Depending on the process of operation, 'casting or hauling of net' was the most frequent part that people received an injury (40.4%). When the accidents were classified by their types, 'falling down' was the most recurrent cause of the injuries (28.5%). At the point of severity, the worst injuries were induced by crush hazard. Considering aforementioned accident frequency and severity, all the factors on the accident type list were divided into three different groups including high risk, moderate risk, and common risk. This study is expected to contribute to the reduction of occupational accidents during the work of fishermen and establishment of a safety management system for distance water fishing vessels.

• Korea Journal of Hospital Management
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• v.10 no.2
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• pp.64-80
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• 2005

The objectives of this study were to identify factors associated with unexpected revisit to an emergency medical center (EMC) located in Seoul and to examine reasons for revisit. During March, June, September and December, 2002, a total of 168 patients had unexpected revisits to the EMC within 48 hours of a previous discharge. As a 1:1 matched control, we included 136 patients who: discharged from the EMC during the same time period: did not return to the EMC; had the same diagnosis and age(${\pm}5$) with the case. In this study, factors associated with unexpected revisits were defined as characteristics of a previous discharge, which were classified into three: sociodemographic, EMC visit-related, and discharge management factors. Reasons for revisit were categorized into disease, physician, patients, and system-related factors. Data were collected by medical chart review with assistance from clinicians of the EMC. Logistic regression results showed that patients who headed home after discharge without follow-up schedule had a 27.6 times higher risk of revisiting EMC than those who were hospitalized following EMC visit. Patients discharged on his own will had a 5.9 times higher risk of revisiting than those discharged following physician's advice. Patients requiring continual observation at the time of discharge were more likely to revisit by 8.7 times than those discharged with improved condition. About 69.13% of the revisits were due to disease-related factors, followed by 13.90% due to patient-related factors, 8.64% due to system-related factors, and 8.34% due to physician-related factors. It appears that the most significant factors influencing revisits are discharge management factors such as patient's condition at discharge, whether the discharge was accorded with physician's advice, and whether returning home without follow-up schedule. Therefore, appropriate discharge management is necessary to prevent EMC revisit.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.535-546
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• 2019

The purpose of this research was to analyze the relationship between human risk factors and evacuation behavior stages for tunnel safety. Therefore, we conducted a survey using a structured questionnaire on the relationship between safety facilities and safety behavior in order to derive an optimized interaction between the two. The research subjects were 141 tunnel users who understand the tunnel environment. The survey period was from June 24, 2018, to September 28, 2018. As data analysis methods, we employed a frequency analysis, a multiple regression analysis, and an independent-sample t-test. In the analysis of the correlation between the human risk factors and the major variables of evacuation behavior, the evacuation phases 1, 2, and 3 were all correlated with acceleration and delay, and the human risk factors were partially correlated. In the multiple regression analysis, the will to comply with laws (${\beta}=0.188$, p=0.034) and information recognition within the tunnel (${\beta}=0.220$, p=0.009) were factors that influence the relationship between human risk factors and evacuation behavior, indicating 12% explanatory power of the impact of human risk factors for the acceleration of evacuation behavior 3. The important variables between human risk factors and evacuation behavior were compliance with laws and information recognition in tunnels. Hence, it is necessary to study the elements that interact with the environment in the tunnel.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.485-490
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• 2003

Nowadays the rapid change in construction environment getting more globalized and complicated has caused lots of unexpected risks from inside and out of the country, so more sophisticated construction management strategies are being strongly needed. This paper suggests a risk management model with which we can estimate the appropriate contingency by quantifying the amount of probable risks immanent in large construction projects, which have a high degree of uncertainty in the anticipation of the total construction cost. To develop the model, the risk factors that make cost variations are elicited based on the real data of the contingencies assigned to the past projects. Furthermore, the influential relationship of risk factors is structured by applying the CRM(Cost Risk Model) which is the synthetic model of Monte Carlo Simulation, Influence Diagram and Decision Tree. The ultimate outcome of this research can by validated by tile case study with a large construction project performed.

• Women's Health Nursing
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• v.24 no.3
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• pp.297-309
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• 2018

Purpose: To develop Pregnancy Risk symptom Perception Scale (PRPS) and evaluate its validity and reliability. Methods: A preliminary 30-item version of PRPS was developed through literature review, in-depth interview, and Content Validity. Each item was scored on a four-point Likert scale. The preliminary scale was developed based on 301 pregnant women who visited a hospital. Date were analyzed using item analysis, factor analysis, confirmatory factor analysis, Pearson's correlation coefficients, and Cronbach's ${\alpha}$ (0.90 for total item, 0.80 to 0.88 for factors). Results: The PRPS consisted of 27 items. Three factors (physical, environmental, and emotional factors) explained 55% of the total variance. Cronbach's Criterion validity was supported by comparison with the Perception of Pregnancy Risk Questionnaire (r=0.34). In reliability test, the reliability coefficient of pregnancy risk symptom perception was high at 0.90. Conclusion: These results suggest that the pregnancy risk symptom perception scale developed in this study comprises items that can assess the level of pregnant women's pregnancy risk symptom perception in Korea. Its validity and reliability were proven. PRPS can be utilized to measure pregnant women's risk symptom perception during pregnancy. PRPS will contribute to the development of systematic prenatal care and effective risk management.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.949-958
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• 2021

This study aims to develop a theoretical model in order to determine factors affecting consumer intention to use credit cards by combining Theory of perceived risk and Technology acceptance model. Despite of perspective of consequences in prior studies on related research fields, this study focuses on the sources of perceived risk, including transaction, payment and credit risks, which are proposed and measured in a preliminary research. A measurement model and a structural model with the presence of perceived risk in sources are tested in a formal research with data collected from 538 bank customers. An analysis results show that payment risk, usefulness, transaction risk, ease of use, and credit risk influence significantly Vietnamese consumers' intention to use credit cards in decreasing order of influence. These factors account for 64.6% of the variation in intended use. All three dimensions of perceived risk have a negative effect on the intention to use, with the total impact greater than the level of influence of the other two factors of usefulness and ease of use. These findings can be beneficial to banks in enacting policies to attract more consumers and to allocate resources for improving their credit card business.

• Journal of Korean Biological Nursing Science
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• v.26 no.1
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• pp.49-59
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• 2024

Purpose: This study was conducted to identify factors associated with high-risk drinking in Korean men. Methods: This study was a secondary analysis using data from the Korea National Health and Nutrition Examination Survey (KNHANES VIII-2), 2020. Data were downloaded from the KNHANES website. The subjects of this study were 1,653 alcohol-drinking men between 19 and 64 years of age. Data were analyzed using the Rao-Scott chi-square test and complex sample logistic regression statistics. Results: The high-risk drinking rate among alcohol-drinking men was 27.1%. High-risk drinking was more common in men who smoked (odds ratio [OR] = 2.11, p < .001), men with a middle school education or lower (OR = 1.91, p = .016), men who lived with a spouse (OR = 1.61, p = .025), men who slept less than 6 hours on weekends (OR = 1.51, p = .016), and men who perceived stress (OR = 1.30, p = .044), while it was lower in men who were underweight (OR = 0.19, p = .006). Conclusion: To reduce the rate of high-risk drinking, it is necessary to provide an intervention that considers factors associated with high-risk drinking among men. In particular, smoking was the most important factor associated with high-risk drinking, implying that the integrated management of drinking and smoking is necessary to reduce high-risk drinking.

• Journal of the Korean Society of Safety
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• v.33 no.6
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• pp.102-114
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• 2018

The Railway Safety Management System is based on risk management and the basic purpose of risk management is safety management activities to prevent railway accidents and operational obstacles in advance. In order to manage risk, an acceptable risk standard must be established. This risk criterion is used to evaluate the railway risk with both frequency and severity. In the case of overseas railway or other industrial sectors, various factors are reflected in the main variables that constitute the occurrence frequency, but this is no the case in the domestic railway sector. In particular, the current risk assessment criteria in the railway sector remain at a level that exploits the incidents that have occurred in the past and the severity of the property damage and it dose not properly reflect complex and diverse environmental and situational changes in railway operations. Therefore, in this study, it is possible to calculate the potential occurrence of future events instead of occurrence frequency as a component of the risk assessment criteria, focusing on the High-Speed Railway. In addition to the property damage to the consequence, we suggest a rational methodology, development direction, and theoretical implications for constructing accurate and reasonable risk criteria including actual damage such as human injury and time loss.

• Journal of the Korean Institute of Gas
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• v.23 no.5
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• pp.35-43
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• 2019

The safety of industrial valves, which are the core parts of plant facilities, are managed by manpower and there are difficulties because of side area for inspection and limited accessibility due to the nature of facilities. The industrial valves used in plant facilities cause problems such as interrupted production; a loss of life due to leak or explosion of poisonous material and flammable gases, and difficulty in locating accident positions in the event of leakage or failure. Therefore, safety management and control systems based on IoT technology are needed. This study is about the development of risk factor prediction technique among the safety management of industrial valves through IoT- based wireless communication and the development of actuator control system. We have developed IoT-based industrial valve safety management techniques to prevent accidents caused by main risk factors by conducting an analysis of the structural characteristics of valves and an analysis of the causes of main risk factors through review of failure data and literature and an analysis of accident scenarios.

• Journal of the Korea Safety Management & Science
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• v.17 no.3
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• pp.15-22
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• 2015

The risk assessment carried out on the construction site at the beginning of the implementation depends on the subjective judgment of risk of general contractor and subcontractors, whose opinion about frequency and intensity of risk is different. In this paper, research the awareness of general contractors and subcontractors about process of risk assessment at the construction site and its effectiveness. Researching of the main factors "frequency", "intensity" which determines the degree of risk gives the opportunity to find an option for improving the effective implementation of risk assessment.