• International conference on construction engineering and project management
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• 2005.10a
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• pp.980-985
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• 2005

Since the 1980s, Build-Operate-Transfer and its variations have become a common approach to develop large-scale infrastructure projects. Despite the slight variations in contractual settings, the key issue for all parties concerned is to assess the risks and uncertainties inherent in a project. The risk factors studied and highlighted by past researchers are very diverse. This paper starts with an objective to compare the risk factors in different sectors of infrastructure, and then categorize them into two kinds: general and specific. Following this classification, risk mitigation strategies should be adopted differently at the corporate and project levels. A few short cases have also been used to illustrate the flexible measures or "options" that some project participants have designed to address risks and uncertainties at the two levels.

• Nuclear Engineering and Technology
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• v.46 no.4
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• pp.467-474
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• 2014

The aim of this paper is to describe a relatively recent international agreement on the widely debated concepts of: (i) attributing effects to low dose radiation exposure situations that have occurred in the past and, (ii) inferring radiation risk to situations that are planned to occur in the future. An important global consensus has been recently achieved on these fundamental issues at the level of the highest international intergovernmental body: the General Assembly of the United Nations. The General Assembly has welcomed with appreciation a scientific report on attributing health effects to radiation exposure and inferring risks that had been prepared the United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR) following a formal request by the General Assembly.

• Journal of the Korea Safety Management & Science
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• v.22 no.4
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• pp.1-8
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• 2020

In general, companies operate systematically in response to financial risks such as exchange rates and liquidity, while they are vulnerable to risks in the manufacturing and sales processes. In particular, logistics refers to the activities for planning, managing and implementing efficient flows from the starting point of goods and products to the point of consumption, The purpose of this study was to develop key risks and key risk management indicators (KRIs) for risks that undermine logistics efficiency so that logistics risks can be effectively prevented and managed. As a result, 40 risk management indicators (KRIs) were developed in a total of six categories in the logistics sector, and the definition, calculation method and early warning grade of each KRI were presented so that companies could prevent risks in advance in logistics activities and contribute to enhancing efficiency of their work.

• Communications for Statistical Applications and Methods
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• v.25 no.4
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• pp.385-396
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• 2018

Competing risks are commonly encountered in biomedical research. Regression models for competing risks data can be developed based on data routinely collected in hospitals or general practices. However, these data sets usually contain the covariate missing values. To overcome this problem, multiple imputation is often used to fit regression models under a MAR assumption. Here, we introduce a multivariate imputation in a chained equations algorithm to deal with competing risks survival data. Using pseudo-observations, we make use of the available outcome information by accommodating the competing risk structure. Lastly, we illustrate the practical advantages of our approach using simulations and two data examples from a coronary artery disease data and hepatocellular carcinoma data.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.112-119
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• 2017

Selecting suppliers in the global supply chain is the very difficult and complicated decision making problem particularly due to the various types of supply risk in addition to the uncertain performance of the potential suppliers. This paper proposes a multi-phase decision making model for supplier selection under supply risks in global supply chains. In the first phase, the model suggests supplier selection solutions suitable to a given condition of decision making using a rule-based expert system. The expert system consists of a knowledge base of supplier selection solutions and an "if-then" rule-based inference engine. The knowledge base contains information about options and their consistency for seven characteristics of 20 supplier selection solutions chosen from articles published in SCIE journals since 2010. In the second phase, the model computes the potential suppliers' general performance indices using a technique for order preference by similarity to ideal solution (TOPSIS) based on their scores obtained by applying the suggested solutions. In the third phase, the model computes their risk indices using a TOPSIS based on their historical and predicted scores obtained by applying a risk evaluation algorithm. The evaluation algorithm deals with seven types of supply risk that significantly affect supplier's performance and eventually influence buyer's production plan. In the fourth phase, the model selects Pareto optimal suppliers based on their general performance and risk indices. An example demonstrates the implementation of the proposed model. The proposed model provides supply chain managers with a practical tool to effectively select best suppliers while considering supply risks as well as the general performance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.3
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• pp.1408-1416
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• 2011

Cloud computing provides not only cost savings and efficiencies for computing resources, but the ability to expend and enhance services. However, cloud service users(enterprisers) are very concerned about the risks created by the characteristics of cloud computing. In this paper, we discuss major concerns about cloud computing environments including concerns regarding security. We also analyze the security concerns specifically, identify threats to cloud computing, and propose general countermeasures to reduce the security risks.

• Korean Journal of Weed Science
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• v.13 no.4
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• pp.195-202
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• 1993

The benefits of pesticides in improving the food quantity and quality requirements for an increasing world population are significant, and they can be described in agronomic, economic and social terms. The risks are assessed from the hazards which are likely to occur in practice ; the hazards are defined by the toxicity of the pesticide to non-target organisms at various exposure levels. There are ways of reducing the risks (mainly by reducing exposure in practice) and improving the benefits of pesticides ; these are known as risk management and benefit management respectively. The overall risk-benefit assessment is facilitated if each component can be expressed in financial terms, but it must be made nationally or locally on a sound technical basis against the prevailing agronomic, socio-economic and political circumstances. Paraquat is used to illustrate the risk-benefit assessment process in general terms, and the conclusion is that the benefits greatly outweigh the risks. It is important to keep the risks of pesticides in perspective with those associated with other naturally occurring chemicals in our diet and with other everyday aspects of life. In an overall context, the pesticide risk is small.

• Journal of Families and Better Life
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• v.21 no.6
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• pp.43-51
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• 2003

The purpose of this research was to investigate the perception of financial risks and expenditures for insurance by household characteristics. Data were collected from 598 housewives by online survey on Dec., 2001. Results indicated that respondents had perceived the risk of unemployment most among three types of risks. Household characteristics reflecting financial needs in emergency case had positive effects on the perception of risks, and hence the expenditures for insurance, in general. On the other hand, the level of emergency preparation had negative effects on the perception of risks and the expenditures for insurance. However, only credit-related risk had a positive relationship with the expenditures for insurance.

• Journal of Information Processing Systems
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• v.10 no.1
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• pp.132-144
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• 2014

Information always comes with security and risk problems. There is the saying that, "The tall tree catches much wind," and the risks from cloud services will absolutely be more varied and more severe. Nowadays, handling these risks is no longer just a technology problem. So far, a good deal of literature that focuses on risk or security management and frameworks in information systems has already been submitted. This paper analyzes the causal risk factors in cloud environments through critical success factors, from a business perspective. We then integrated these critical success factors into a business model for information security by mapping out 10 principles related to cloud risks. Thus, we were able to figure out which aspects should be given more consideration in the actual transactions of cloud services, and were able to make a business-level and general-risk control model for cloud computing.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.5 s.164
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• pp.670-679
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• 2007

Contemporary consumers interested in fashion develop global tastes regarding consumption and senses on how much certain products cost in the global market place. Demand for foreign brands and products produced a new type of e-tailor called surrogate Internet shopping malls. Due to the unfamiliarity of such retailers, consumers may perceive different types of risks and may show different styles of seeking informations. The research interest of this study was to investigate the differences of risk perception and information search between surrogate e-mall shoppers and general e-mall shoppers. In addition, we examined the influence of these two variables on consumer satisfaction. A survey questionnaire was developed. Measures of three types of e-shopping risks (delivery, transaction, service), information search and satisfaction were included. Data from surrogate e-mall consumers and general e-mall consumers were statistically analyzed. Surrogate e-mall shoppers showed a higher level of product delivery risk and customer service risk than general e-mall shoppers. They also spend more time in seeking information before making purchases. Regression analysis showed that perceived risk had significant influence on information search and consumer satisfaction for surrogate e-mall shoppers, whereas for general e-mall shoppers, no significant influence was detected. The findings should assist marketers and academics in their understanding of the surrogate e-shopping malls.