• 산업경영시스템학회지
• /
• 제4권5호
• /
• pp.11-14
• /
• 1981

This study intends to decide the economic sample size based on the cost of sampling Inspection for destructive testing. The marginal percent defective is used as the lot tolerance percent defective (LTPD), and the Newton's iterative method is adopted to calculate the optimum sample size(n), given by the consumer's risk($\beta$ - risk) and the acceptance number(c).

• 한국지역사회생활과학회지
• /
• 제21권3호
• /
• pp.351-364
• /
• 2010

This study was aimed to investigate the relationship between abuse and suicide risk focused on the Korean elderly over 65 years old living with their families. The data for the study was collected from 1,193 people in Incheon metropolitan city, Kyunggi and Chungnam province. Among them, 711 elderly adults who experienced abuse within their families, were analysed for the study. The results were as follows: First, the group who had experienced abuse was revealed at 29.8%, and the group who had experienced suicide was revealed at 23.1%. Second, the victims of abuse at older ages affects the risk of suicide. Moreover, considering the elderly population under the control of influencing variables such as socioeconomic traits, ADL and depression, the risk of suicide for the group of being abused was higher than the group that was never abused. Third, four groups of elderly(groups without both abuse and suicide risks, the group with only abuse victims, the group with only suicide risks, and the group with both abuse and suicide risk) were divided based on the victims of abuse and the risk of suicide. The group without abuse and suicide risk was positive in subjective economic status, ADL, number of diseases and depression. On the contrary, the group with both abuse and suicide risk was negative in the above indices. The study indicated that there were some similar traits between abuse risk groups and suicide risk groups, but the group with suicide risk was lower than the group with abuse risk in ADL and depression.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권4호
• /
• pp.51-58
• /
• 2020

The study aims to investigate the relationship between hedging with derivatives and subsequent firm-level stock price crash risk. Our sample consists of KOSPI- and KOSDAQ-listed companies from 2004 to 2014. The total firm-year observation is 4,886. We find that hedging with derivatives is related to greater possibilities of crash risk. The results suggest that the complexity of economic and financial reporting for derivatives may aggravate the company's information opacity, ultimately increasing the crash risk. We contribute to the growing body of literature on hedging with derivatives. Academics and practitioners have debated on whether or not hedging enhances transparency or rather makes the information environment more opaque. Theoretical research on the role of corporate hedging on information environment shows that hedging enhances earnings informativeness. Meanwhile, pieces of anecdotal and empirical evidence show that the economic and financial reporting complexity of derivatives can harm information transparency. Our results shed light on the question of whether and how hedging with derivatives affects information environment by examining the relationship between hedging with derivatives and crash risk. Furthermore, our findings provide useful insights for policymakers and practitioners. Specifically, our results raise a need for a more transparent disclosure on corporate hedging activities with derivatives.

• The Journal of Asian Finance, Economics and Business
• /
• 제10권1호
• /
• pp.57-66
• /
• 2023

There is a strong association between poverty levels and the probability of natural disasters. East Java, however, exhibits a distinct pattern. While the rate of poverty is declining, natural disasters are becoming more severe. Considering that East Java is an area with a high risk of natural disasters and a high poverty rate, this study aims to estimate the effect of environmental preservation and the magnitude of the impact of disasters as measured by the Disaster Risk Index (IRBI) on poverty. The 3SLS model is used on secondary data from 38 districts/cities from 2015 to 2021 as an analytical database. Based on the estimation results, there are 3 findings in this study: (i) the role of government, population development, and economic activity have a strong influence on nature conservation; (ii) nature conservation has a strong influence on disaster risk; and (iii) the disaster risk index has a strong effect on poverty. As a result, areas with a high level of disaster risk have a slower rate of poverty reduction. The role of this research is to show the need for the government's role in improving the quality of natural disaster mitigation anticipation, economic activity, and the role of the population in a sustainable manner.

• 한국방재학회:학술대회논문집
• /
• 한국방재학회 2008년도 정기총회 및 학술발표대회
• /
• pp.645-648
• /
• 2008

This study provides considerations for quantitative risk assessment of landslide on GIS technology. It shows how the landslide possibility analysis is linked by GIS modeling to provide loss estimation tools for landslide hazards in support of socio-economic loss reduction efforts. Those risk assessment results can deliver factual damage situation prediction to policy making for the landslide damage mitigation.

• 한국경제지리학회지
• /
• 제13권4호
• /
• pp.681-696
• /
• 2010

본 연구는 부동산 개발사업 각 단계별로 발생 가능한 위험요인의 중요도를 평가하고, 이에 대한 관리방안을 제시하는데 목적이 있다. 이를 위해 부동산 개발사업에 영향을 미칠 것으로 예상되는 단계별 위험요인을 선행연구를 통해 사전적으로 도출한 다음, 부동산 개발사업 전문가들을 대상으로 설문조사를 실시하여, 단계별 위험요인들의 중요도를 AHP 기법을 이용하여 평가했다. 본 연구결과를 요약하면 다음과 같다. 첫째, 부동산 개발사업의 대분류별 위험요인을 분석한 결과, 개발 전 단계에서는 기획 위험, 개발준비 단계에서는 개발사업 인허가 위험, 개발 단계에서는 현금흐름 위험이 가장 중요한 것으로 평가되었다. 둘째, 부동산 개발사업의 소분류별 위험요인을 분석한 결과, 개발 전 단계에서는 소비자 선호도의 변화, 개발준비 단계에서는 계약 및 인허가 관련업무, 개발 단계에서는 시행사 및 건설사의 부도, 관리 및 운영 단계에서는 사고 및 재해의 발생에 의한 시설보상이 가장 중요한 위험요인으로 평가되었다. 셋째, 이러한 위험요인의 중요도 평가결과에 따라 단계별 위험관리 방안을 제시했다.

• 한국정보시스템학회지:정보시스템연구
• /
• 제30권3호
• /
• pp.65-91
• /
• 2021

Purpose In this study, we investigated the impact of perceived risk and switching costs on switching intention to cloud service based on PPM (Pull-Push-Mooring) model. Design/methodology/approach We focused on revealing the switching factors of the switching intention to the cloud services. The switching factors to the cloud services were defined as perceived risk consisting of performance risk, economic risk, and security risk, and switching costs consisting of financial and learning costs. On the PPM model, we defined the pull factors consisting of perceived usefulness and perceived ease of use, and the push factor as satisfaction of the legacy system, and the mooring factor as policy supports. Findings The results of this study as follows; (1) Among the perceived risk factors, performance risk has a negative effect on the ease of use of pull factors, and finally it was found to affect the switching intention to the cloud services. Therefore, cloud service providers need to improve trust in cloud services, service timeliness, and linkage to the legacy systems. And it was found that economic risk and security risk among the perceived risk factors did not affect the switching intention to the cloud services. (2) Of the perceived risk factors, financial cost and learning cost did not affect the satisfaction of the legacy system, which is a push factor. It indicates that the respondents are positively considering switching to cloud service in the future, despite the fact that the respondents are satisfied with the use of the legacy system and are aware of the switching cost to cloud service. (3) Policy support was found to improve the switching intention to cloud services by alleviating the financial and learning costs required for cloud service switching.

• Toxicological Research
• /
• 제17권
• /
• pp.17-24
• /
• 2001

Risk assessment is useful tool making good decisions on the risks of certain hazardous com-pound and suggests safe margin through scientific process using toxicological data, statistical tool, exposure value and relevant variants. The goal of risk management is to protect the public health from hazardous compound based on result of risk assessment having reality. For the suggestion of exact man-aging information, risk assessment must be designed to represent a "plausible estimate" of the exposure to the individuals and to minimize uncertainty. Risk assessment methodology and knowledge are expected to change more rapidly than before and up-to-date methodology should be applied in regulatory aspects through the Agency. For the useful application of risk assessment, the communication between the risk assessor and the risk manager is needed before the initiation of the risk assessment and upon its completion. Generally, the risk assessment itself as a practical tool in the regulatory decision making process would be regarded with social economic impact.ic impact.

• 한국항만경제학회지
• /
• 제40권1호
• /
• pp.133-149
• /
• 2024

선행연구에 따르면 선박금융 가산금리 결정의 핵심요소는 리스크 프리미엄이라는 것을 알 수 있다. 이에 본 연구에서는 다중회귀모형을 적용하여 선박금융 리스크 프리미엄 결정 요인에 대한 분석을 수행하였다. 리스크 프리미엄을 종속변수로 두고, 대출특성, 차주의 신용도, 거시경제 상황 등 3개 요인 총 10개의 독립변수를 선정하였다. 2014부터 2022년까지 A은행이 지원한 82개 선박금융 사례를 분석 표본으로 하였다. 전체 표본을 대상으로 한 실증분석 결과, 유동비율, 부채비율, 업력, 운임지수 등 실선주 신용도와 경제상황 요인이 선박금융 리스크 프리미엄에 영향을 미치는 것으로 나타났다. 컨테이너선의 경우, 리스크 프리미엄에 영향을 미치는 변수로 유동비율, 현금보유비율, 부채비율, 영업이익률 등 실선주 신용도 요인이 유의미한 것으로 나타났다. 벌크선은 실선주 신용도 요인인 부채비율과 업력이 리스크 프리미엄에 어느 정도 영향을 미치는 것으로 나타났다. 가스선의 경우, 시장상황 요인이 리스크 프리미엄에 영향을 미치는 것으로 분석되었다. 하지만, 탱커선을 대상으로 한 모형에서는 모든 요인이 선박금융 리스크 프리미엄에 영향을 미치지 못하는 것으로 나타나고 있다. 전체적으로 리스크 프리미엄을 결정하는 요소 중 차주인 해운기업의 재무지표가 가장 유의미하게 작용하고 있는 것을 알 수 있다.

• 경영과학
• /
• 제33권3호
• /
• pp.105-117
• /
• 2016

In this paper, we present empirical testing result to examine the validity of inbound supply and outbound demand risk factors in the sense of early predicting the firm's bankruptcy risk level. The risk factors are drawn from industry uncertainty attributes categorized as uncertainties of input market (inbound supply), and product market (outbound demand). On the basis of input-output table, industry level inbound and outbound sectors are identified to formalize supply chain structures, relevant inbound and outbound uncertainty attributes and corresponding risk factors. Subsequently, publicly available macro-economic indicators are used to appropriately quantify these risk factors. Total 68 industry level bankruptcy risk forecasting results are presented with the average R-square scores of between 53.4% and 37.1% with varying time lag. The findings offers useful insights to incorporate supply chain risk to the body of firm's bankruptcy risk level prediction literature.