• Journal of Service Research and Studies
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• v.12 no.3
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• pp.70-92
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• 2022

Project risk assessment is the most important activity performed at the beginning of a project because it can judge the performance of the project in advance. In this study, We were evaluated risk with traditional risk factors such as technology and schedule, etc, and Indirect risks factors such as financial, strategic, and special risks. and then, we analyzed what kind of relationship these risk evaluation factors have on business performance and customer satisfaction. As a result of the research, it was found that the risk evaluation items had a relationship with performance and customer satisfaction. However, It is possible that the performance may differ depending on how risks are managed after risk assessment. Therefore, follow-up studies should be conducted, including information on risk management practices. This study is meaningful that presenting practical risk evaluation items and at the same time identifying the relationship with performance. We plan to further the study in future studies including the evaluation of risk management process.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.79-86
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• 2021

In order to increase the probability of success in big data projects, quantified techniques are required to analyze the root cause of risks from complex causes and establish optimal countermeasures. To this end, this study measures risk factors and relationships through SNA analysis and presents a way to respond to risks based on them. In other words, it derives a dependency network matrix by utilizing the results of correlation analysis between risk groups in the big data projects presented in the preliminary study and performs SNA analysis. In order to derive the dependency network matrix, partial correlation is obtained from the correlation between the risk nodes, and activity dependencies are derived by node by calculating the correlation influence and correlation dependency, thereby producing the causal relationship between the risk nodes and the degree of influence between all nodes in correlation. Recognizing the root cause of risks from networks between risk factors derived through SNA between risk factors enables more optimized and efficient risk management. This study is the first to apply SNA analysis techniques in relation to risk management response, and the results of this study are significant in that it not only optimizes the sequence of risk management for major risks in relation to risk management in IT projects but also presents a new risk analysis technique for risk control.

• Korean Journal of Construction Engineering and Management
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• v.19 no.5
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• pp.81-89
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• 2018

The purpose of this study is to assess the risk and predict the contingency for modular plant construction projects. Considering the work characteristics of the modular plant, The adapted research method is that suggest models for assessment impact of risk and predict the contingency considering risk. Based on the proposed models, It is selected one modular plant construction project and assessment impact of risk factors and predicted the contingency. The results of this study are as follows: Assessment the probability of occurrence of risk factors and intensity of impact, and extract 15 important risk factors. These are classified as Engineering, Procurement, Fabrication, Transportation, Construction phases to consider the work characteristics of the modular plant. The predicted contingency is that 6.739%(Engineering 2.850%, Procurement 6.225%, Fabrication 6.211%, Transportation 4.165%, Construction 8.168%) to prepare the basic business expense. The model is used as a way to derive quantitative results in the decision-making process for risk management in construction projects.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.363-364
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• 2023

The tunnel construction projects is demanded more efficient risk management measures and loss forecasts to prepare for risk losses from an increase in the trend of tunnel construction. This study aims to analyze the risk factors that caused the loss of material in actual tunnel construction and to develop a quantified predictive loss model, based on the past loss record of tunnel construction projects.

• Korean Journal of Construction Engineering and Management
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• v.17 no.1
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• pp.18-27
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• 2016

The purpose of this study is to classify main risk factors on a construction phase of a plant project and analyze importance by the risk factors. Plant Industry is continuing boom and the increase in overseas plant orders in 2014 has showed a performance increase of 61% of the total orders, as the plant industry are risk factors for the construction phase, safety management target recognition and variety of accident prevention and safety factors by importance, etc. a situation that requires the development and introduction of management. So, it is performed that collected disaster conditions data on a construction phase of a plant project, is questioned by plant construction professional and is classified by 4M. Then, it is performed that is questioned by plant construction and safety professional in order to apply AHP method, and is presented from analyzing the risk factors, which are results of the survey, by importance and priority. This study will recognize from identifying the main risk factors in advance and will be utilized as a basic data is to prevent the risk factors.

• Journal of Environmental Health Sciences
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• v.35 no.4
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• pp.269-277
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• 2009

Objective : The objective of this study was to examine how experts and the public perceived various environmental and technological hazards based on psychometric paradigm. Methods : We conducted a survey that included 30 hazards and 10 risk attributes. Subjects of this study were 214 people with three groups; (1) experts (55 people), (2) graduates( 78 people), (3) under graduates (81 people). Factor analysis was used to confirm the common risk attribute from 8 risk attributes. Also, multiple regression analysis was used to identify factors influencing on perceived risk and benefit of hazards. Results : This study revealed that experts tend to be more tolerant than graduates and under graduate students for the 30 hazards. Using factor analysis, two main factors were identified: factor 1, commonly called "Dread Risk", and factors 2, commonly called, "Unknown Risk" in the literature. We identified that environmental hormone concentration and global warming ranked high in both dread risk and unknown risk. Multiple regression models were used to test the association of perceived social risk and perceived social benefit with two main factors. Dread risk had significant explanatory power on perceived social risk and benefit. We identified that the experts were less likely to perceived dread risk and know more information about the hazards. Conclusions : There were differences of risk perception between experts and lay people. Especially, experts' perception of risk was commonly lower than other people's perception.

• Journal of the Korea Institute of Building Construction
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• v.10 no.4
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• pp.83-93
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• 2010

With construction projects continuously becoming more massive and complex, risk factors have been consistently increasing. To achieve a successful project, it is very important to identify and cope with such risk factors. Therefore, the purpose of this study is to suggest plans of reducing risk, not only for describing the drafting process for construction planning but also for systematically organizing constraints and risk factors in earth work, foundation work and reinforced concrete construction. To achieve these objectives, this study 1) analyzes previous theories about risk classification structure, 2) performs a case study of an actual project to embody the problems of safety management by analyzing the results of an interview with a construction engineer. In conclusion, the following factors were systematically organized: 1) characteristics of construction site (purpose, structure, floor, etc.); 2) the actual application conditions of the main construction methods; 3) the relationship between constraints and risk factors.

• Journal of Preventive Medicine and Public Health
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• v.39 no.6
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• pp.447-454
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• 2006

Objectives : To determine obesity for the screening of individuals at high risk of coronary heart disease in urban areas. Methods : Data were obtained from 4,137 adults between 19 and 85 years of age (2,372 males, 1,765 females), not recognized as taking medicines for cardiovascular diseases, who underwent a health check-up at the health promotion center of university hospitals in cities between Jan. 2003 and Dec. 2004. The variables studied were divided into two broad categories, and their relationships examined. obesity indices and risk factors for coronary heart disease. To reveal the relation between each of the obesity indices and the proportion of individuals at risk of coronary heart disease, the obesity indices were stratified and odds ratios obtained after age adjustment. Results : From a gender comparison of anthropometric measures, men were found to have significantly greater heights, weights, and waist and hip circumferences than women. From a gender comparison by the obesity indices, women were found to have significantly higher BMI, %Fat, waist to hip and waist to stature ratios than men. As obesity indices, the waist to stature ratio and the waist circumference were strongly correlated with coronary risk factors, both in men and women. The age-adjusted odds ratio of coronary risk factors increased significantly with increasing waist circumference, BMI, %fat, waist to hip and waist to stature ratios, and were highest specifically for the waist to stature ratio and the waist circumference. Conclusions : The study results showed that the waist to stature ratio and the waist circumference, as obesity indices, were most closely correlated with coronary risk factors. It is suggested that the waist to stature ratio and, specifically, the waist circumference can be effectively used in the field of health management for screening those with high levels of coronary risk factors.

• Journal of the Korea Safety Management & Science
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• v.14 no.3
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• pp.11-19
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• 2012

Especially because of the distinctiveness that new experiments and research provoke coexistence of various risk factors, the researchers in university laboratory are being exposed to incidents that are difficult to predict. Due to the fact that the numbers of accidents that occur at the university laboratory are increasing, the necessity for laboratory safety management is on the rise. Most laboratory accidents are caused by the ability that can detect risk factors such as unsafe behavior or unsafe condition but is not working perfectly. In order to prevent researchers in advance from unsafe behavior or unsafe condition, effective safety education, systematic safety management, safe research environment, continuous safety check and proper measures after accident are the most important factors. In this study, survey was conducted in university laboratory to identify the factors that affect on safety management and to measure the safety management level. As a result, effective measures are proposed for the improvement of the safety management level.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1176-1182
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• 2009

Due to recession in real estate market, interest of risk analysis is increasing. Feasibility study in the first stage takes a great role in a project. There are not objectified tools which are able to cope with uncertainty of project, and feasibility study based on selected method of determinism does not include liquidity of weight risk. Also, shortage of consideration for subjective and atypical external factors causes inappropriate results. Therefore, this study proposes feasibility study model focused on risk factor influences in construction cost and sales cost. Considering effective level of cost based on objective risk factors and probable weight of risk by this model, real workers are able to bring correct and scientific decisions better than former method based on selective analysis of real estate development.