• Journal of Families and Better Life
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• v.25 no.2 s.86
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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.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.05a
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• pp.143-144
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• 2012

A number of construction projects tied to the concerns and decision-making is also very complicated. In addition, more than any other industry, is inherent in many risk factors. In the course of the construction project on risk factors that exist in the early stages of project risk factors to predict in advance and prepare a project by shortening the construction period and project cost as you can to maximize performance. In this study, I proposed risk management processes and how they are used in web-based schedule risk in the process of change management system, and between 3D CAD, 4D CAD taking into account the linkages, risk management strategy process in the BIM environment.

• Journal of the Korea Safety Management & Science
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• v.14 no.2
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• pp.113-121
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• 2012

The important elements and conditions to improve corporate competitiveness are customer development, new product development, sales increase, net profit increase, and other factors. Even if those competitiveness elements are well prepared, obstacles may exist. In this paper, we examined the risk, the deadliest obstacle that can affect corporate. We selected the risk factors that exist in functional categories in the system connected complicatedly and variously by organizational value chain of corporate, and examined the conceptual model of Enterprise Risk Management System based on the precedent studies.

• Journal of Information Processing Systems
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• v.10 no.2
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• pp.240-255
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• 2014

Cloud computing has increasingly been drawing attention these days. Each big company in IT hurries to get a chunk of meat that promises to be a whopping market in the future. At the same time, information is always associated with security and risk problems. Nowadays, the handling of these risks is no longer just a technology problem, with a good deal of literature focusing on risk or security management and framework in the information system. In this paper, we find the specific business meaning of the BMIS model and try to apply and leverage this model to cloud risk. Through a previous study, we select and determine the causal risk factors in cloud service, which are also known as CSFs (Critical Success Factors) in information management. Subsequently, we distribute all selected CSFs into the BMIS model by mapping with ten principles in cloud risk. Finally, by using the leverage points, we try to leverage the model factors and aim to make a resource-optimized, dynamic, general risk control business model for cloud service providers.

• Journal of Preventive Medicine and Public Health
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• v.44 no.5
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• pp.210-217
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• 2011

Objectives: The rising burden of preventable risk factors for non-communicable diseases (NCDs) among adolescents is a major public health challenge worldwide. We identified the preventable risk factors for NCDs in adolescents. Methods: In a school-based study, pre-tested structured questionnaires were completed by 414 adolescents (14 to 17 years) at six schools in three cities in Pakistan. The chi-squared test and adjusted odds ratio (aOR) with 95% confidence interval (CI) were calculated in a multinomial logistic regression analysis. Results: Over 80% of the adolescents had unhealthy diets, and 54% were physically inactive. Most adolescents were exposed to passive smoking, and 14% were also current smokers. More than one-third of participants chewed betel nut, and one-quarter used oral tobacco. More girls were physically inactive (OR, 4.07; 95% CI, 2.69 to 6.17), whereas a greater proportion of boys were current smokers (OR, 2.17; 95% CI, 1.19 to 3.91), exposed to passive smoking (OR, 2.57; 95% CI, 1.72 to 3.83), and using betel nut (OR, 2.03; 95% CI, 1.34 to 3.06). Only 3.1% of the participants were without any preventable lifestyle risk factor for NCDs, and over 80% had ${\geq}$2 factors. Co-existence of risk factors was independently associated with fathers being blue-collar workers (aOR, 3.57; 95% CI, 1.07 to 11.92) and parents not treating their child fairly (aOR, 5.05; 95% CI, 1.29 to 19.78). Conclusions: Most of the adolescents studied had preventable risk factors for NCDs. These results warrant comprehensive and integrated interventions to prevent lifestyle risk factors, and parents are front-line stakeholders.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.16
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• pp.6691-6695
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• 2014

Background: A population-based cervical cancer screening program using visual inspection with acetic acid was launched in Maldives in 2014. Our study aimed to assess the knowledge, attitude and practices of women in relation to risk factors of cervical cancer, early detection of the disease and its prevention. Materials and Methods: The questionnaire based survey was conducted among 20 to 50 year old women, systematically sampled to represent three regions of Maldives. Trained investigators interviewed a total of 2,845 women at home. Results: The prevalence of the risk factors of cervical cancer like early age at marriage and childbirth, multiple marriages, multiple marriages of the husbands, and multiple pregnancies was high. More women knew about breast cancer than cervical cancer. Even among the small number of women who knew of cervical cancer, only 34.6% had the knowledge of at least one early symptom. Very few women knew that the cancer could be prevented by any test. Only 6.2% of the women reported having ever undergone a Pap smear. Many women had the misconception that cervical cancer was infectious. In Maldives the younger women have high literacy rate due to the policy of universal free education and those with higher levels of education had improved knowledge of cervical cancer and its risk factors. The prevalence of risk factors also reduced with improved literacy. Conclusions: Awareness about risk factors and prevention of cervical cancer is limited among Maldivian women in spite of having high exposure to some of the risk factors. A universal literacy program in the country has helped to improve the knowledge of cervical cancer prevention and to reduce the exposure to various risk factors in the younger population.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.21
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• pp.9535-9541
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• 2014

Background: Identifying risk factors of breast cancer is a key point for preventive strategies to reduce the incidence. The aim of current study was to determine most important risk factors for breast cancer in the Eastern Mediterranean Region (EMR) using a systematic review. Materials and Methods: PubMed, Scopus, Web of Science till August 24, 2012 and the reference lists of all included studies were searched. Analytic studies which had reported odds ratios (OR), relative risk (RR) or required data to calculate them were included. A total of 343 studies were critically appraised and finally 30 studies were meta-analyzed. Heterogeneity between the studies was assessed by $I^2$ and Cochran's Q. Egger's test was used to assess publication bias. Results: Twenty five casecontrol studies, one nested case-control and four cohort studies were included. The largest ORs were obtained for history of no live birth (2.25; 95%CI: 1.58-3.18), body mass index (BMI) more than 30 (2.21; 95%CI: 1.71-2.36), age at first pregnancy more than 30 years old (1.52; 95%CI: 1.30-1.77) and meat consumption more than three times per week (1.39; 95%CI: 1.03-1.87). The other important predictors were higher education and smoking as risk factors, physical activity and ovulatory stimulating medication as protective factors. Conclusions: The most important predictors of breast cancer in EMR were history of no live birth, BMI more than 30, age at first pregnancy more than 30 years old, physical inactivity and smoking. Almost all these risk factors are consistent with known risk factors for this cancer in other parts of the world.

• Korean Journal of Health Education and Promotion
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• v.26 no.1
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• pp.81-92
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• 2009

Objectives: This study set out to investigate the relationship among the factors of metabolic syndrome diagnosis criteria, their risk factors including general characteristics, and the distribution of the diagnosis criteria and risk among the adult residents of a rural community. Methods: Among 1,968 residents, those who had three or more of the risk factors of metabolic syndrome, which include blood pressure, blood glucose, triglyceride, abdominal obesity, and HDL-C, were categorized as the metabolic syndrome group. And their correlations were analyzed. Results: As for the risk ratio with five factors of the metabolic syndrome diagnosis criteria, it was high according to age and smoking. In addition, the results show that body fat percentage, hs-CRP, insulin, BMI, PP2, total cholesterol, and W/Ht also had much impact on increasing the risk ratio of the metabolic syndrome diagnosis criteria. It turned out that metabolic syndrome was affected by the body mass index(BMI), insulin, waist to height ratio(W/Ht), and hs-CRP. It was 2.51 times crude odds ratio that BMI over the 25kg/m2 in the ratio of the fact of metabolic syndrome and adjusted for sex odds ratio 2.50times and W/Ht was 3.31times, adjusted for sex odds ratio 3.25 times. Conclusion: BMI, W/Ht and smoking of the general characteristics seem to have close relationships with high correlations between the metabolic syndrome diagnosis criteria and the risk factors. Thus there is an urgent need to evaluate them and take interventions and monitoring measures for the clustering of risk factors.

• Korean Journal of Construction Engineering and Management
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• v.5 no.3 s.19
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• pp.97-105
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• 2004

Planning phase became very important because the construction market in Korea is often unpredictable. The existing feasibility analysis cannot fulfill its purpose in development projects because they are based on intuitive approach rather than systematic approach. The purpose of this study is to make a prototype of feasibility model to be a good investment. To build the model, first, risk factors which can be occurred in project had to be selected. Risk factors were divided into several groups in basis of characteristical risk. Economical risk factors were input on financial analysis. Then, to catch the relevance and influence of all risk factors, influence diagram and decision tree were made. Finally, sensitivity analysis was activated, then what the critical factors were, and how those factors could be solved. Through these procedures, the feasibility model that was made in this study could include both quantitative and qualitative factors. This model is expected to be used as a guide of feasibility analysis including all risk factors and is to serve systematic frame in planning and feasibility stage.

• Korea Trade Review
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• v.42 no.1
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• pp.1-25
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• 2017

By applying the AHP(Analytic Hierarchy Process), we have analyzed the importance and the order for priorities to the management risk factors of Korean SMEs & Venture companies in China. The major management risk factors of manufacturing companies were the rise in labor costs followed by fierce competition in the marketplace, problems involved with human resource management and the rise in the cost of materials. In the case of companies manufacturing electronic products, the rise of labor costs and alteration in government's tax policy were seen as the main risk factors. In the case of chemical product manufacturing companies, the reinforcement of environmental protection law and in automobile component manufacturing companies, apart from the rise in labor cost, the increase in raw materials costs were analyzed as the main risk factors. While considering the time period, the main risk factors of the companies that entered China in the 1990's were fierce competition and alteration in government's tax policy and for the companies that entered China in the 2000's, increase in raw material cost, the rise in labor cost etc were analyzed to be the main risk management factors.