• The Journal of the Korea Contents Association
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• v.8 no.10
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• pp.342-350
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• 2008

The study begins with the proposition that customers' recognition of risk and their information level for a service firm and its product influence to the selection of information channel and loyalty of customers. Experimental study found that the likelihood of personal information channel selection would be increased as customers felt higher level of risk and as they had lower level of information when they purchased service products. The study also found that customer loyalty would be influenced by the risk recognition level, but the relationship between loyalty and information level was not significant.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.1
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• pp.83-89
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• 2015

Selection of efficient supplier is a very important process as risk or uncertainty of a supply chain and its environment are increasing. Previous deterministic DEA and probabilistic DEAs are very limited to handle various types of risk and uncertainty. In this paper, I propose an improved probabilistic DEA which consists of two steps; Monte Carlo simulation and statistical decision making. The simulation results show that the proposed method is proper to distinguish supplier's performance and provide statistical decision background.

• Journal of Biomedical Engineering Research
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• v.40 no.1
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• pp.20-31
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• 2019

Medical device performance management is an activity that allows a device to be safely used and maintained even after it is put on the market. The purpose of this study is to provide procedures and criteria for selection of medical device items that should manage the safety and performance among medical devices in hospital. Investigate the performance management status of medical devices in hospitals and identify the performance management status by domestic and advanced regulatory agencies. Provides selection procedures and test methods for medical devices subject to performance management in hospitals based on medical device risk management and reliability. In addition, a case study on drug infusion pumps was conducted.

• Communications for Statistical Applications and Methods
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• v.16 no.5
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• pp.791-801
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• 2009

Value-at-Risk(VaR) has been used as an important tool to measure the market risk. However, the selection of the VaR models is controversial. This paper proposes VaR forecast combinations using support vector machine quantile regression instead of selecting a single model out of historical simulation and GARCH.

• Journal of the Korean Society of Safety
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• v.31 no.1
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• pp.1-6
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• 2016

Severity and frequency of industrial accidents are typically used to assess the "absolute" risk associated with the industrial machines and devices ("items") which are subject to safety certification or self-declaration of conformity. However, the "relative" risk associated with a particular item can further be assessed based on unit severity and unit frequency where the total number of item in use is taken into account. This study first attempts to estimate the total number of each item in use which was recently selected for safety certification or self-declaration of conformity. The appropriateness of such selection is recapitulated based on the relative risk involved. Analysis results indicate that depending on items, the relative risk is differentiated from the absolute risk. Recent selection of items for safety certification or self-declaration of conformity is then revisited for its validity. The relative risk based on unit severity and unit frequency of industrial accidents, together with the absolute risk, may be used to further categorize items for safety certification or self-declaration of conformity in the future.

• Journal of the Chungcheong Mathematical Society
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• v.27 no.1
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• pp.145-149
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• 2014

I consider the optimal consumption and portfolio selection problem with nonnegative wealth constraints using the dynamic programming approach. I use the constant relative risk aversion (CRRA) utility function and disutility to derive the closed-form solutions.

• Journal of the Chungcheong Mathematical Society
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• v.25 no.2
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• pp.277-281
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• 2012

I study an optimal consumption and portfolio selection problem with regime-switching using a dynamic programming method. With constant relative risk aversion (CRRA) utility I obtain optimal solutions in closed-form.

• Management & Information Systems Review
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• v.36 no.2
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• pp.187-206
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• 2017

This study empirically investigated the direct and indirect effects of inter-organizational relationships control mechanisms (IRCM; prudent partner selection and complex contract) on the decrease of inter-organizational risks (i.e., relational risk and performance risk). The empirical results showed that prudent partner selection has a positive impact on the degrees of inter-organizational cooperation and the levels of inter-organizational information flow. The effects of complex contract on the inter-organizational cooperation and information flow were not significant. In the results of the decrease of inter-organizational risks, it was observed that inter-organizational cooperation has significant positive effects on the decrease of both relational risk and performance risk. It was found that partner selection only influences the decrease of performance risk. The impact of inter-organizational information flow on the decrease of inter-organizational risks was not statistically significant. The indirect effects of IRCM on the decrease of performance risk through inter-organizational cooperation were also empirically demonstrated. The significant impact of inter-organizational cooperation on the decrease of risks implies that high levels of collaborations among employees decrease the risk of opportunistic behavior as well as the possibility of low degrees of performance through cooperative efforts. According to the results of the effects of risks on supply-chain performance, only the impact of performance risk was negatively significant. This result points out that the low levels of performance cause delays in delivery and product launch, deterred production and delayed market response, and these deteriorated managerial activities necessarily decrease the degrees of supply-chain performance.

• Journal of the Korean Statistical Society
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• v.25 no.1
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• pp.1-24
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• 1996

In selecting a final tree, Breiman, Friedman, Olshen, and Stone(1984) compare the prediction risks of a pair of tree, where one contains the other, using the standard error of the prediction risk of the larger one. This paper proposes an approach to selection of a final tree by using the standard error of the difference of the prediction risks between a pair of trees rather than the standard error of the larger one. This approach is compared with CART's for simulated data from a simple regression model. Asymptotic results of the approaches are also derived and compared to each other. Both the asymptotic and the simulation results indicate that final trees by CART tend to be smaller than desired.

• Journal of the Ergonomics Society of Korea
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• v.29 no.4
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• pp.435-444
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• 2010

To identify and evaluate the risk factors in WMSD work, a number of ergonomic workload evaluation methods have been developed. In the legal examination of WMSD risk factors, simple observational workload evaluation methods are widely used instead of using costly measurement equipments such as EMG and motion analyzer. The simple workload evaluation methods can be categorized into three groups; risk factor checklist methods, posture observation methods, and manual material handling task evaluation methods. In terms of the categories, this survey summarized several representative workload evaluation methods and compared them each other. Then some industrial application cases referring each the workload evaluation methods were surveyed. Due to the characteristics of each method, the selection and application procedure of workload evaluation method should be appropriate for the corresponding work. Therefore, some guidelines for the selection and application procedure of workload evaluation method were suggested.