• Korean Management Science Review
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• v.28 no.3
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• pp.73-82
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• 2011

Basel II advanced measurement approaches for operational risk need to estimate the frequency and severity distribution of operational losses. Due to lack of internal loss data, the estimation is impossible in many cases and so external loss data might be used by scaling on asset or gross income. To get around lack of loss data, scenario analysis combined with loss distribution approach can be useful in calculating the capital charge of operational risk. However, scenario based loss distribution approach requires much time and effort. Instead we may apply the analytic hierarchy process to measure operational risk of financial institutions. The analytic hierarchy process combined with loss distribution approach is to estimate the capital charge of operational risk in other areas based on the operational VaR in an area with sufficient loss data. AHP provides a tool for timely measurement of operational risk in this rapidly changing global environment.

• Journal of the Korean Society of Marine Environment & Safety
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• v.19 no.3
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• pp.257-263
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• 2013

The classification of risk factors and the identification of risk acceptance criteria are core works to assess risk levels with high enough confidential level in the field of marine traffic environment. In the previous study work, the twenty kinds of risk factors and its assessment criteria for the domestic marine traffic environment were proposed. In this paper, with these previous studying results, the relative importance of the risk factors were analyzed by questionnaire survey of marine traffic experts using the analytic hierarchy process. The analysis results showed that the relative importance of the visibility restriction is the highest among the twenty kinds of risk factors, and the relative importance of the traffic condition is the highest among the five kinds of risk categories. As results from analysis, it is expected that the approaching method on the relative importance is to be one of basic techniques for the development of risk assessment models in the domestic marine traffic environment.

• Journal of the Korea Convergence Society
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• v.6 no.5
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• pp.1-8
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• 2015

The data of fair value hierarchy is expected to contain different degree of measurement error, information asymmetry, and information risk by the level of hierarchy. Thus, this study examines how hierarchy of fair value discriminately influences on companies' cost of capital. Through regression analysis of corporations listed from 2011 to 2014, it turns out that the regression coefficient of level 1 and 2 of fair value variable vary their rank by cost of capital types, while level 3 contains the highest regression coefficient for every cost of capital variable. In addition, further study of how the relevance between cost of capital and the fair value hierarchy gets affected by market risk management level and audit quality finds no consistent results. However, by analyzing the effect of coincident interaction through the convergence of market risk management and audit quality, when audit quality and market risk management level are high, the effect of relieving cost of capital of Level 3 gets the highest. In conclusion, fair value hierarchy data seems to affect discriminately on cost of capital by involved information risk, and the information risk could decrease by the level of market risk management and audit quality.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.1
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• pp.229-239
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• 2018

This paper analyzes the problems of existing CCTV and discusses cyber security problems of IP-CCTV in cloud computing environment. In order to reduce the risk of simply removing the risk associated with the provision of cloud services, the risk analysis and counter-measures need to be carried out effectively. Therefore, the STRIDE model as the Threat Risk Modeling is used to analyze the risk factors, and Analytic Hierarchy Process(AHP) is used to measure risk priorities based on the analyzed threats.

• Geomechanics and Engineering
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• v.30 no.5
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• pp.413-422
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• 2022

TBM is widely used in the construction of various underground projects in the current world, and has the unique advantages that cannot be compared with traditional excavation methods. However, due to the high cost of TBM, the damage is even greater when geological disasters such as collapse occur during excavation. At present, there is still a shortage of research on various types of risk prediction of TBM tunnel, and accurate and reliable risk prediction model is an important theoretical basis for timely risk avoidance during construction. In this paper, a prediction model is proposed to evaluate the risk level of tunnel collapse by establishing a reasonable risk index system, using analytic hierarchy process to determine the index weight, and using the normal cloud model theory. At the same time, the traditional analytic hierarchy process is improved and optimized to ensure the objectivity of the weight values of the indicators in the prediction process, and the qualitative indicators are quantified so that they can directly participate in the process of risk prediction calculation. Through the practical engineering application, the feasibility and accuracy of the method are verified, and further optimization can be analyzed and discussed.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.59 no.4
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• pp.354-361
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• 2023

In this study, the AHP (analytic hierarchy process) technique was used to analyze the risk of expected risk factors and fishing possibilities during gillnet fishing within the floating offshore wind farms (floating OWF). For this purpose, the risks that may occur during gillnet fishing within the floating offshore wind farms were defined as collisions, entanglements, and snags. In addition, the risk factors that cause these risks were classified into three upper risk factors and ten sub risk factors, and the three alternatives to gillnet fishing available within the floating OWF were classified and a hierarchy was established. Lastly, a survey was conducted targeting fisheries and marine experts and the response results were analyzed. As a result of the analysis, among the top risk factors, the risk was the greatest when laying fishing gear. The risk of the sub factors for each upper risk was found to be the highest at the berthing (mooring), the final hauling of fishing net, and the laying of the bottom layer net. Based on the alternatives, the average of the integrated risk rankings showed that allowing full navigation/fisheries had the highest risk. As a result of the final ranking analysis of the integrated risk, the overall ranking of allowing navigation/fisheries in areas where bottom layer nets were laid was ranked the first when moving vessels within the floating OWF was analyzed as the lowest integrated risk ranking of the 30th at the ban on navigation/fisheries. Through this, navigation was analyzed to be possible while it was analyzed that the possibility of gillnet fishing within the floating OWF was not high.

• The Journal of Information Systems
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• v.15 no.2
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• pp.77-93
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• 2006

Information system(IS) development projects are mostly unique in terms of the characteristics of projects such as project requirements, customers, project members, and development environment. Therefore, it is very hara by nature, to manage the development process systematically. In addition the long-term enlarged scale projects with more complexity and specificity required have brought in much more risk factors than before. The paper recognized risk factors in IS development projects and measured the importance of those risk factors using the AHP(Analytical Hierarchy Process) method. The results can be used in the risk management of IS development projects.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2005.10a
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• pp.269-274
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• 2005

This study gathered the factor of supply chain risk through literature review, and measured the importance of risk factors which have been recognized by domestic companies. This study has purposes and necessities as follows. First, supply risk factors were classified and explored through positive studies about supply chain risk. Most of previous studies helps grasping the meaning of supply chain risk but limited in conceptual side. Second, this study used AHP(Analytic Hierarchy Process) method which makes decision-making problem classified, simplicated and systematized to evaluate the importance of supply-chain risk recognized by the companies. Finally, this study suggests registration-point in companies's efficient supply activity would be great by measuring the importance of supply-chain through AHP(Analytic Hierarchy Process).

• Journal of Navigation and Port Research
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• v.30 no.1 s.107
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• pp.67-71
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• 2006

This study gathered the factors of supply chain risk through literature review, and measured the importance of risk factors recognized by domestic companies. The purpose and necessity of this study are as follows. First, supply risk factors were classified and explored through empirical studies about supply chain risk. Most of the previous studies concentrated on the meaning of supply chain risk, but only in terms of concept approach Second, to evaluate the importance of supply-chain risk recognized by the companies, AHP(Analytic Hierarchy Process} method was proposed in this paper. Finally, this study suggests implications for companies' efficient supply activity by measuring the importance of supply-chain through AHP(Analytic Hierarchy Process).

• Journal of Korean Tunnelling and Underground Space Association
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• v.14 no.6
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• pp.683-697
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• 2012

In this paper, a risk analysis methodology applicable to shield TBM tunnels was studied. Fault Tree Analysis (FTA) was utilized to identify all risk items and to calculate the probability of failure of each item and Analytic Hierarchy Process (AHP) was used to obtain the impact of each risk item. Finally, a risk level of each risk item can be assessed. Developed methodology is applied to a Seoul subway site in which EPB shield tunnel method was utilized and it was found that risk analysis results matched reasonably well with field data.