• Journal of Korean Tunnelling and Underground Space Association
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• v.14 no.6
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• pp.667-681
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• 2012

In general, risk management consists of a series of processes or steps including risk identification, risk analysis, risk evaluation, risk mitigation measures, and risk re-evaluation. In this paper, potential risk factors that occur in shield TBM tunnels were investigated based on many previous case studies and questionaries to tunnel experts. The risk factors were classified as geological, design or construction management features. Fault Tree was set up by dividing all feasible risks into four groups that associated with: cutter; machine confinement; mucking (driving) and segments. From the Fault Tree Analysis (FTA), 12 risk items were identified and the probability of failure of each chosen risk item was obtained.

• Journal of the Korea Safety Management & Science
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• v.24 no.2
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• pp.67-76
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• 2022

Power generation construction projects involving large amounts of capital can affect the survival of a company along with huge economic losses in the event of a business failure. In general, private companies are organizations with challenging risk taking tendencies while public companies have a risk averse tendency to avoid risk, so these differences in organizational tendencies make it difficult to respond to risk. In particular, public companies are more likely to fail than private companies because they choose the contradiction of risk picking to enter overseas markets with high uncertainty despite their tendency to risk averse due to the nature of the organization. Therefore, these organizations need risk management techniques that reflect a risk-averse strategy. Accordingly, this paper analyzes the risk management research papers of the existing overseas development EPC business in order to find the risk management techniques related to the organizational tendencies of public companies and proposes "establishing a performance audit system for risk management of the organizational tendencies of public companies" as a way to extract the risk factors through the examples of overseas development projects of public companies and to manage the organizational tendencies of public companies that affect them.

• Journal of the Korea Safety Management & Science
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• v.19 no.4
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• pp.11-24
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• 2017

This study attempted to establish fire risk factors and preventive measures for each of five major types of construction, focusing on construction sites. For this purpose, disaster cases were analyzed and countermeasures were prepared. In addition, fire risk factors and flammable and combustible materials by construction type according to construction process were identified and preventive measures thereof were suggested. The results of this study can be used to establish policy improvement directions that meet various educational needs and expectations by identifying the use status of flammable and combustible materials and figuring out the fire risk factors according to the process by work type in construction sites.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.497-501
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• 2013

An important decision-making element for the success of housing redevelopment projects is a prediction of the profitability of redevelopment. Risk factors influencing profitability were deduced through a review of the literature about profitability and a risk analysis developed by a survey of maintenance projects. In addition, a profitability prediction depending on the analysis of risk factors is necessary to judge the business feasibility of a project in the planning stages. A profitability prediction model of management and disposal method, which is calculated by proportional rate and which helps estimate contributions to profitability, is proposed to prevent difficulties in business development. The proposed model has the potential to prevent interruptions, reduce the length of projects, generate cost savings, and enable rational decision-making during the project period by allowing a judgment of profitability at the planning stage.

• Journal of Home Health Care Nursing
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• v.16 no.1
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• pp.12-21
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• 2009

Purpose: The survey-based study aimed to determine the distribution and clustering tendency of metabolic syndrome risk factors in urban residents, and cluster odds ratios. Methods: Cluster sampling involved 827 urban participants and analysis of the collected data. Results: Regarding the prevalence of metabolic syndrome risk factors used for diagnosis, abdominal obesity was higher in women(69.5%) than in men(34.3%), high blood pressure was higher in men(57%) than in women(46.5%), and blood sugar was higher in men(6.9%) than in women(5.7%). Clustering increased with increasing body mass index(BMI), weight:height ratio(W/Ht) and abdominal obesity Risk factors for females were 1.7 times higher than for males. Participants with a family history of metabolic syndrome displayed related risk factors 1.5 times more than participants without a family history. Participants having a BMI ranking them as obese were 9.5 times more likely to display metabolic syndrome risk factors than non-obese participants. Obese participants were 20 times more likely to display risk factors than non-obese participants. Conclusion: BMI, W/Ht and abdominal obesity correlate with clustering of metabolic syndrome risk factors. The risk is increased by smoking and family history. Exercise weight control and non-smoking are recommended for comprehensive management of clustering of metabolic syndrome risk factors.

• Journal of the Society of Disaster Information
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• v.18 no.2
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• pp.395-404
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• 2022

Purpose: Small-scale construction sites have insufficient systematic safety management activities, and due to the characteristics of the construction site, the production structure is complex due to external environmental factors, and the risk of construction equipment is very high. We would like to propose a checklist method among practical risk assessment techniques that can derive risk factors for disaster prevention at small construction sites and reduce disasters. Method: Risk factors were derived by analyzing literature research and disaster cases, and detailed work for a checklist of risk assessment suitable for small-scale construction sites was classified based on risk factor items. Result: Hazard factors were divided into 6 major categories, and 29 detailed types of work were classified based on actual work types, and 80 detailed works were classified accordingly. Conclusion: By arranging risk factors suitable for small-scale construction sites according to the classification system, the lack of expertise in the construction site can be supplemented, and risk factors can be derived more easily and disaster reduction can be expected through establishment of safety measures.

• International Commerce and Information Review
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• v.14 no.2
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• pp.295-315
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• 2012

This paper attempts to reveal the relationships between IT capacity, SCM risk management factors and Business Performance. According to precedent studies, Our study analysed 153 cases from Korean companies which perform a supply chian risk management and then developed a structural equation model. As a result of the model test, this empirical study found that IT Infrastructure have a positively significant influence on companies' IT application and risk management. Second, there was a positive relationship between IT application and Business performance. Last and foremost, SCM risk management affects positively on Business performance. From this study, we found that investment in IT infrastructure will increase Business performance via raising risk management level, but there was less relationship between IT application level and that of risk management. For further study should be conducted for discovering effective practice factors of risk management.

• Environmental Analysis Health and Toxicology
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• v.16 no.2
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• pp.85-95
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• 2001

This study was to investigate factors of risk perception on major environmental issues among general public and environmental experts in Korea. Structured questionnaire surveys were conducted to samples from general public and environmental experts during March and April, 2000. Total numbers of respondents were 773, general public and 353 experts. Analysis of the data showed that risk perception was correlated with health concern, environmental satisfaction, perception of environmental pollution, interest on the environmental issues, knowledge, experiences, and social-cultural consciousness, and so on. Overall environmental risk perception was affected by knowledge on environmental issues, experience of damage from environmental problems, sex and perception of environmental pollution. According to the results, environmental risk perception is not independent from social and psychological factors, and it may be desirable to consider the related factors in the process of risk communication for a more effective risk management or environmental policy.

• Korean Journal of Construction Engineering and Management
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• v.17 no.2
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• pp.90-98
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• 2016

High-rise buildings construction project have various risk factors. Major risk factors are negative results such as time delay and increase of costs. Therefore, this study was analyzed risk factors in construction stages of high-rise buildings using by PROMETHEE technique. For this, this research were identified risk factors through experts Focus Group Interview(FGI). And, PROMETHEE was used to setup evaluation standard for analysis of high-rise building construction risks. Next, the standard of evaluation index calculation was composed by using the definition level in PDRI. Preference function and evaluation index were identified through questionnaires. Through these processes, this study has calculated the importance of high-rise building construction risks using by PROMETHEE technique. As a result, high degree risk factors were as following. These are 'Operation plan of material lifting', 'Outrigger & Belt Truss Construction', 'Foundation work plan of high-rise building' and 'Considering a Structure concept of high-rise building'.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.25-40
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• 2019

Many companies are executing big data analysis and utilization projects to legitimize the development of new business areas or conversion of management or technical strategies. In Korea and abroad, however, such projects are failing because they are not completed within specified deadlines, which is not unrelated to the current situation in which the knowledge base for big data project risk management from an engineering perspective is grossly lacking. As such, the current study analyzes the risk factors of big data implementation and utilization projects, in addition to finding risk factors that are highly important. To achieve this end, the study extracts project risk factors via literature review, after which they are grouped using affinity methodology and sifted through expert surveys. The deduced risk factors are structuralize using factor analysis to develop a table that categorizes various types of big data project risk factors. The current study is significant that in it provides a basis for developing basic control indicators related to risk identification, risk assessment, and risk analysis. The findings from the study contribute greatly to the success of big data projects, by providing theoretical basis regarding efficient big data project risk management.