• Korean Security Journal
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• no.57
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• pp.277-301
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• 2018

Korean society is a mixed risk society in terms of risk and distrust. This is because the risks and disasters of the farming and industrial societies, the modern and the information society, exist simultaneously in the present time. Ulrich Beck's point that the endless development of science and technology to acquire economic wealth is simultaneously entering a risk society is providing us with many implications. In this paper, we reviewed the Ulrich Beck's "reflexive modernization" theory in the late 20th century, pointing to the rise of a risk society as a result of the evolution of new modernization. This is because the "reflexive modernization" can be a direction in which we can reflect our wrong past from a human-centered perspective and design a desirable future. In this sense, it is important to present ways to overcome the dangerous society through the reinterpretation of Ulrich Beck, who advocated the modernization of reflectively. In order to overcome the future risks that the fourth industrial revolution will bring, we must provide direction for the government's security policies and public security consciousness.

• Ocean Systems Engineering
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• v.9 no.3
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• pp.261-285
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• 2019

Nowadays in offshore industry there are emerging hazards with vague property such as act of terrorism, act of war, unforeseen natural disasters such as tsunami, etc. Therefore industry professionals such as offshore energy insurers, safety engineers and risk managers in order to determine the failure rates and frequencies for the potential hazards where there is no data available, they need to use an appropriate method to overcome this difficulty. Furthermore in conventional risk based analysis models such as when using a fault tree analysis, hazards with vague properties are normally waived and ignored. In other word in previous situations only a traditional probability based fault tree analysis could be implemented. To overcome this shortcoming fuzzy set theory is applied to fault tree analysis to combine the known and unknown data in which the pre-combined result will be determined under a fuzzy environment. This has been fulfilled by integration of a generic bow-tie based risk analysis model into the risk assessment phase of the Risk Management (RM) cycles as a backbone of the phase. For this reason Fault Tree Analysis (FTA) and Event Tree Analysis (ETA) are used to analyse one of the significant risk factors associated in offshore terminals. This process will eventually help the insurers and risk managers in marine and offshore industries to investigate the potential hazards more in detail if there is vagueness. For this purpose a case study of offshore terminal while coinciding with the nature of the Caspian Sea was decided to be examined.

• Journal of muscle and joint health
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• v.21 no.1
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• pp.27-35
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• 2014

Purpose: The purpose of this study was to estimate the effects of a cancer-overcome BeHaS exercise program on post-trauma risk and anxiety in breast cancer patients. The cancer-overcome BeHaS exercise program consisted of exercise, education, and cognitive supports. Methods: A one group pretest-posttest experimental design was used for this study. Fourteen mastectomy patients, the subjects of the group participated in the BeHaS exercise program. The program was provided for 8 weeks, once a week in C hospital. Data were collected from October to November 2012 with self report structured questionnaires. Descriptive statistics, and Wilcoxon Signed Rank test were used to analyze data with the SPSS 19.0. Results: The mean age of participants was 53 and the mean postoperative period after the surgery was 18.64 months. After the BeHaS exercise program, while there was no significant decrease in post-trauma risk scores, there was a significant difference in anxiety (z=-2.20, p=.028). Conclusion: This program has effects on decreasing anxiety in patients with breast cancer. Therefore the BeHaS exercise program should be applied as a nursing intervention to reduce anxiety for the patients with breast cancer.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1364-1369
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• 2009

The building construction projects include a variety of risk factors due to uncertainties. To succeed in the projects, it is important how risks are managed. Risk management is composed of identification, analysis and response. Especially, the risk analysis is important to objectively calculate significance of risk factors. This paper evaluates a method to find priorities of risks using the AHP(Analytic Hierarchy Process). The method has some defects; (1) the consistency becomes weak as the number of pair-wise compared risks is large, and (2) the input and output procedures are complex when risks are added to or removed from a risk database. Thus the paper adopt the PROMETHEE(Preference Ranking Organization METHod Enrichment Evaluations) analysis process which is able to overcome the limitation of the AHP restricted to 9 risk factors. The PROMETHEE method makes the procedure of risk analysis simple, when the risk factors pull out and put in the risk database. The purpose of this study is to prove the possibility of the PROMETHEE analysis process by being compared with AHP.

• Journal of Information Technology Applications and Management
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• v.25 no.1
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• pp.67-85
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• 2018

We propose a noise reduced risk aversion index for measuring risk aversion through a laboratory experiment to overcome disadvantages of the multiple pricing list format developed by Holt and Laury (2002). We use randomized multiple list choices with coarser classification and reward weighting, supplement the rank of risk aversion with extra individual characteristics of risk attitude, and construct an index of risk aversion by standardizing the risk aversion ranking with quantile normalization. Our method reduces multiple switching problems that noisy decision makers mistakenly commit in experimental approaches, so that it is free of the framing effect which severely occurred in the HL. Furthermore, the index doesn't utilize any specific utility function or probability weighting, which allows researcher to hold the independence axiom. Since our noise reduced index of risk aversion has many good traits, it is widely used and applied to reveal fundamental characteristics of risk-related behaviors in economics and finance regardless of experimental environment.

• Journal of East Asia Management
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• v.3 no.2
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• pp.1-19
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• 2022

This study suggests an integrated theoretical framework for the relationship between political risk and multinational corporation (MNC) subsidiary's performance in the emerging market. The political risk would have a negative impact on MNC subsidiary's performance in the emerging countries that are developing in Asia, the Commonwealth of Independent States, Africa, and South America. The major reason is that political risks could generate a loss of benefit or a loss of control for MNC's subsidiary. In this study, I suggest that corporate social responsibility (CSR) strategy would be a solution to overcome various political risks. Specifically, the affiliated firms with diversified industries or greater financial resources could mitigate the negative impact of political risk than unaffiliated firms. Because they can use their tangible or nontangible asset such as information, technology, and construction in order to gain legitimacy and trust from local government, local community, and local firms in the emerging market. Finally, I claimed the costs of the affiliated firms would exceed the benefits at the initial stages, while the benefits of affiliated firms would exceed the costs over time when political risks become higher. The reason is that the trust gained from local stakeholders accumulates over time and the impact of CSR strategy would become an important solution to overcome the risks in and unstable context.

• Journal of the Korea Society of Computer and Information
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• v.24 no.9
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• pp.69-75
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• 2019

We propose a method to analyze user requirements to design a virtual reality-based risk management system. This paper presents surveys, interviews, prototype evaluation methods, and implementation process. Architectural heritage is easily exposed to natural and artificial dangers caused by various material combinations and structural features. So, risk management of cultural heritage plays a key role in preserving and managing cultural heritage. However, risk management has been carried out through empirical methods using distributed data. This study analyzes user requirements for designing functions and interfaces of VR-based risk management system and evaluates prototypes to overcome the above problems. As a result, most heritage managers wanted a system function to support risk analysis and response. They also found that they prefer 2D information such as existing drawings and photos rather than 3D information. The results of the user requirements analysis derived from this study will be used to create risk management applications.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.1
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• pp.115-123
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• 2024

The purpose of this study is to contribute to how the advantages of artificial intelligence (AI) services and the associated limitations can be simultaneously overcome, using the keywords AI and risk management. To achieve this, two cases were introduced: (1) presenting a risk monitoring process utilizing AI and (2) introducing an operational toolkit to minimize the emerging limitations in the development and operation of AI services. Through case analysis, the following implications are proposed. First, as AI services deeply influence our lives, the process are needed to minimize the emerging limitations. Second, for effective risk management monitoring using AI, priority should be given to obtaining suitable and reliable data. Third, to overcome the limitations arising in the development and operation of AI services, the application of a risk management process at each stage of the workflow, requiring continuous monitoring, is essential. This study is a research effort on approaches to minimize limitations provided by advancing artificial intelligence (AI). It can contribute to research on risk management in the future growth and development of the related market, examining ways to mitigate limitations posed by evolving AI technologies.

• Proceedings of the KSR Conference
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• 2010.06a
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• pp.1732-1750
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• 2010

Operation of KORAIL's level crossing is in charge of KORAIL. As taking over existing level crossing to KORAIL, they do not conduct risk assessments, so we do not know about any possibilities of inner risk. And present operation of safety of the level crossing is just regular checking of reaction and functions of safety equipments physically, we need to react to the changes of what's going on around of level crossing and incestigation of traffic flow and surrounding conditions more spontaneously. So, we have to prepare the strategies against accidents of level crossing cost-effectively based on regular risk assessments for sustainable safety improvements and overcome operational problems of present level crossing's safety. Here, we're going to investigate the level of safety level and present risk factors of the level crossing using risk assessments for accidents/error of the equipments to show operational strategies of level crossing based on risk assessments.

• Journal of Korean Academy of Nursing
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• v.24 no.4
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• pp.557-567
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• 1994

The purpose of this study was to defined mothers perception of their infants when the babies were high - risk babies, and to describe the feelings and responses of the mothers following on the birth of high - risk babies and on their hospitalization. The subjects of the study were 30 mothers of high-risk infants at D and M Hospital of E University. Data were collected between August 1993 and June 1994. Using the Neonatal Perception Inventory(NPI ) devised by Broussard to determine the perception of mothers and an open-ended, semi-structured interview which was conducted in the nursery room within 24 to 72 hours after delivery And NPI tested 1 month after the babies were discharged from the NICU also. Data were analyzed using SAS and content analy-sis. The results of this study are as follows ; 1. The mothers tended to perceive their infants positively, regardless of the condition of the infant. Mothers who perceived their infant negatively were slightly increased at 1 month after the babies were discharged from the NICU, but the difference was not statistically significant. 2. Mothers reported that they thought that the newborn can see and hear well, and also they can ex-press themselves. 3. There were many types of response noted such as anxiety, fear, helplessness, pity, resentment, guilt, resignation, hope, relief, appreciation, and feelings of being able to overcome the situation. These were differentiated into positive and negative responses. The finding of positive responses being expressed by mother of high -risk infants while their infants were in NICU was a unique finding especially, appreciation and feelings of being able overcome the situation. The results suggest the need for replication studies and for research on nursing interventions directed at improving the quality of life of high-risk infants and their mother.