• 정보보호학회논문지
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• 제14권4호
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• pp.61-74
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• 2004

위험분석모델은 정보시스템 보안과 관련된 위험을 자산, 위협, 취약성, 보안통제의 관계를 통해서 설명하는 체계화 된 방법이다. 그러나 위험분석모델의 실증적인 연구가 이루어진 경우는 상당히 드물며, 특히 위험분석모델의 타당성 논의는 거의 없는 실정이다. 구조방정식모델을 적용하여 전자상거래 환경에서 위험분석모델의 타당성에 대한 실증적 분석을 한 결과, 위험의 수준에 영향을 미치는 요인으로 언급되는 위협과 보안통제는 통계적으로 유의한 것으로 나타났다. 본 연구는 전자상거래 이용자의 위험인지에 영향을 미치는 요인을 위험분석 접근법을 이용하여 모델 화하여 검증함으로써 전자상거래 위험에 영향을 미치는 선행요인을 규명할 뿐만 아니라 위험분석접근법을 통한 전자상거래에 대한 새로운 관점에서의 접근을 가능하게 한다.

• Journal of Construction Engineering and Project Management
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• 제3권2호
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• pp.21-34
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• 2013

Various risk factors affect construction projects. Due to the uncertainties created by risk factors, actual activity durations frequently deviate from the estimated durations in either favorable or adverse direction. For this reason, evaluation of schedule uncertainty is required to make decisions accurately when managing construction projects. In this regard, this paper presents a new computer simulation model - the Repetitive Schedule Risk Analysis Model (RSRAM) - to evaluate unit-based repetitive building project schedules under uncertainty when activity durations and risk factors are correlated. The proposed model utilizes Monte Carlo Simulation and a Critical Path Method based repetitive scheduling procedure. This new procedure concurrently provides the utilization of resources without interruption and the maintenance of network logic through successive units. Furthermore, it enables assigning variable production rates to the activities from one unit to another and any kind of relationship type with or without lag time. Details of the model are described and an example application is presented. The findings show that the model produces realistic results regarding the extent of uncertainty inherent in the schedule.

• Child Health Nursing Research
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• 제30권1호
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• pp.67-74
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• 2024

Purpose: This study aimed to identify the general characteristics and health behaviors of students with non-therapeutic substance use. Methods: This secondary data analysis used data from the 17th Korea Youth Risk Behavior Web-based Survey (2021). Analyses of the 54,848 adolescents used descriptive statisics, the Rao-Scott χ² test, and logistic regression. Results: The risk factors for substance use among students were anxiety, loneliness, living separately from family, suicidal ideation, e-cigarette use, and high stress. Conclusion: The findings help identify the risk factors for non-therapeutic drug use among adolescents. Since South Korea does not have a drug prevention program for its adolescent population, an educational plan based on these findings could help prevent adolescent substance abuse.

• Journal of Korean Biological Nursing Science
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• 제26권1호
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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.

• 한국ITS학회 논문지
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• 제14권5호
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• pp.13-22
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• 2015

최근 교통사고 주요 원인인 인간행동(인적요인)에 대해 관심이 높아졌으며 운전행동분석 도구인 DBQ(Driver Behavior Questionnaire)를 활용한 운전행동(Driving Behavior)에 관한 연구가 활발히 진행되고 있다. 국내에서 진행된 선행연구는 분석대상이 연구원이나 군 공무원으로 한정되며 분석방법은 요인분석 및 회귀분석을 통해 이루어졌다. 이에 본 연구에서는 일반운전자의 운전행동이 위험운전에 미치는 영향요인을 파악하고 이들의 영향관계를 규명하고자 한다. 연구의 범위는 운전경력이 있는 일반운전자를 대상으로 DBQ설문을 실시하여 300부의 유효 표본수를 분석하였으며, 선행연구 고찰을 통해 교통사고의 주요 요인을 DBQ에서 측정가능한 'Lapse, Mistake, Violation' 세 가지속성으로 도출하고 구조방정식 모형을 통한 위험운전행동 모형을 구축하였다. 또한, 위험운전군별 차이를 확인하기 위하여 다중집단분석을 활용하였다. 분석결과 첫째, 'Lapse, Mistake, Violation 요인은 위험운전행동에 영향을 미칠 것이다'라는 가설검증 결과 모든 요인의 통계적 유의성이 확인되었다. 위험운전행동에 미치는 영향정도는 Violation 0.464, Lapse 0.383, Mistake 0.158 순으로 나타났으며 영향을 가장 많이 미치는 요인이 Violation으로 분석되었다. 둘째, 'Lapse, Mistake, Violation 요인이 위험운전행동에 미치는 영향은 위험군에 따라 다를 것이다'라는 가설검증 결과 Lapse 요인이 위험운전행동에 미치는 영향력이 차이가 있는 것으로 분석되었다. 본 연구결과는 위반행동 Violation과 부주의한 실수 Lapse를 고려한 교통사고 예방 프로그램 및 교육도입에 기초자료로 활용 가능할 것이다.

• 한국재난정보학회 논문집
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• 제5권2호
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• pp.140-152
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• 2009

Recently the occurrence ratio of mechanical accidents in industrial disaster of korea is increased, but very little accident information has been given regarding the prevention of mechanical accidents. In this study, mechanical accidents by the analysis of industrial accident case was examined. And it was proposed the risk assessment method and building database for investigation of risk factors in mechanical accident. As a result, from mechanical accidents database, it was found that the occurrence ratio of mechanical accident by constriction and falling etc. is very high and death ratio by mechanical accident is larger than that of usual accident. And we applied the quantitative risk assessment method proposed by this study in the mechanical accident analysis of a domestic manufacturer. From the results, the risk factors due to constriction, curling, falling and scattering are principal causes of mechanical accidents. These result is similar to that of the analysis of mechanical accidents for recent 12 years in korea.

• 가정과삶의질연구
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• 제25권2호
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• pp.123-135
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• 2007

This study investigated the influence of values associated with internet auctions and risks associated with participating in internet auctions. The results of this study were as follows: First, the values associated with internet auctions consisted of hedonic value, information value, and practical value. Among these values, hedonic value was the highest, and information value was the lowest. Second, He risks consisted of functional risk, privacy risk, socio-psychological risk, md financial risk. Among these risks, functional risk was the highest, and socio-psychological risk was the lowest. Results of regression analysis using demographic elements to inspect risk factors revealed sex, age, and income were statistically significant finally, with respect to demographic characteristics and influences of the aforementioned values and risks, the factors influencing participation in internet auctions were sex, age, hedonic value, functional risk and financial risk.

• 한국건설관리학회논문집
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• 제8권1호
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• pp.47-56
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• 2007

우리나라의 민간투자사업은 잦은 제도 변경, 정부의 지원정책 변경 등으로 많은 혼란을 겪고 있는 실정이다. 특히 BTO 사업을 중심으로 진행되던 민간투자사업에 2005년부터 BTL 사업이 도입되면서 그 무게추가 BTL 사업으로 옮겨지고 있지만 아직 BTL 사업 전반에 대한 체계적인 연구는 부족한 현실이다. 이에 본 연구에서는 BTL 사업 중 실시협약이 이루어진 몇 개의 사업에 대하여 사업 전반에 내재된 리스크 인자들을 도출하고 각 인자의 중요도를 제시하고자 한다. 또한 중요도가 높은 리스크 인자에 대한 영향도 분석을 통하여 각 리스크 인자가 프로젝트에 미치는 영향의 정도를 추정하고자 하였다. 이는 BTL 사업의 계획, 시공, 운영 등 전반에 걸쳐 나타날 수 있는 리스크 인자들을 사전에 예측할 수 있도록 함은 물론 그 영향 정도를 사전에 인지할 수 있도록 함으로써 사업을 추진하는 이해관계자에게 많은 도움을 줄 수 있을 것으로 기대된다.

• 한국건설관리학회논문집
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• 제3권4호
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• pp.84-92
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• 2002

재건축과 관련한 각종 규제들이 강화됨에 따라 향후 공동주택 리모델링사업이 활발하게 이루어 질 것으로 예상된다. 그러나 공동주택 리모델링사업을 수행할 수 있는 관리시스템의 부재로 사업의 어려움을 가지고 있다. 이에 본 논문에서는 리스크관리에 필요한 리스크 인자를 식별하고 분석하여 AHP에 의한 쌍별비교와 리스크 레벨분석을 위한 확률평가를 시행하여 리스크 수준을 제시하였다. 본 연구가 공동주택 리모델링사업의 리스크를 최소화하고 사업을 원활히 수행할 수 있는 기초자료로 활용되어 건축산업의 기조가 신축위주에서 지속 가능한 산업으로 발전하는데 도움이 되지를 기대한다. 향후 연구과제로 본 연구의 리스크 인자분석의 자료를 활용하여 리스크 관리 모델구축이 있어야 할 것으로 사료된다.

• 대한인간공학회지
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• 제36권3호
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• pp.183-196
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• 2017

Objective: The purpose of this research was to assess the agreement between job physical risk factor analysis by ergonomists using ergonomic methods and physical examinations made by occupational physicians on the presence of musculoskeletal disorders of the upper extremities. Background: Ergonomics is the systematic application of principles concerned with the design of devices and working conditions for enhancing human capabilities and optimizing working and living conditions. Proper ergonomic design is necessary to prevent injuries and physical and emotional stress. The major types of ergonomic injuries and incidents are cumulative trauma disorders (CTDs), acute strains, sprains, and system failures. Minimization of use of excessive force and awkward postures can help to prevent such injuries Method: Initial data were collected as part of a larger study by the University of Utah Ergonomics and Safety program field data collection teams and medical data collection teams from the Rocky Mountain Center for Occupational and Environmental Health (RMCOEH). Subjects included 173 male and female workers, 83 at Beehive Clothing (a clothing plant), 74 at Autoliv (a plant making air bags for vehicles), and 16 at Deseret Meat (a meat-processing plant). Posture and effort levels were analyzed using a software program developed at the University of Utah (Utah Ergonomic Analysis Tool). The Ergonomic Epicondylitis Model (EEM) was developed to assess the risk of epicondylitis from observable job physical factors. The model considers five job risk factors: (1) intensity of exertion, (2) forearm rotation, (3) wrist posture, (4) elbow compression, and (5) speed of work. Qualitative ratings of these physical factors were determined during video analysis. Personal variables were also investigated to study their relationship with epicondylitis. Logistic regression models were used to determine the association between risk factors and symptoms of epicondyle pain. Results: Results of this study indicate that gender, smoking status, and BMI do have an effect on the risk of epicondylitis but there is not a statistically significant relationship between EEM and epicondylitis. Conclusion: This research studied the relationship between an Ergonomic Epicondylitis Model (EEM) and the occurrence of epicondylitis. The model was not predictive for epicondylitis. However, it is clear that epicondylitis was associated with some individual risk factors such as smoking status, gender, and BMI. Based on the results, future research may discover risk factors that seem to increase the risk of epicondylitis. Application: Although this research used a combination of questionnaire, ergonomic job analysis, and medical job analysis to specifically verify risk factors related to epicondylitis, there are limitations. This research did not have a very large sample size because only 173 subjects were available for this study. Also, it was conducted in only 3 facilities, a plant making air bags for vehicles, a meat-processing plant, and a clothing plant in Utah. If working conditions in other kinds of facilities are considered, results may improve. Therefore, future research should perform analysis with additional subjects in different kinds of facilities. Repetition and duration of a task were not considered as risk factors in this research. These two factors could be associated with epicondylitis so it could be important to include these factors in future research. Psychosocial data and workplace conditions (e.g., low temperature) were also noted during data collection, and could be used to further study the prevalence of epicondylitis. Univariate analysis methods could be used for each variable of EEM. This research was performed using multivariate analysis. Therefore, it was difficult to recognize the different effect of each variable. Basically, the difference between univariate and multivariate analysis is that univariate analysis deals with one predictor variable at a time, whereas multivariate analysis deals with multiple predictor variables combined in a predetermined manner. The univariate analysis could show how each variable is associated with epicondyle pain. This may allow more appropriate weighting factors to be determined and therefore improve the performance of the EEM.