• 대한인간공학회지
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• 제23권3호
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• pp.53-72
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• 2004

Today we are observing a lot of injuries, casualties, and property losses that are mainly caused by the defects of products. In order to derive safety designs, which minimize the possibility of such product liability-related accidents, we need to take into account the user-product interaction as an important part of the danger factor analysis. Existing risk analysis techniques, however, have some limitations in detecting comprehensive danger factors that are peculiarly involved in human errors and the functional defects of products. Researches on danger factor analysis regarding the user-product interaction have been carried out actively in ergonomics. In this paper, we suggest a novel product risk analysis technique, which is more objective and systematic compared to the previous ones, by combining a modified TAFEI (Task Analysis For Error Identification) technique with SASA (Systematic Approach to Accident Scenario Analysis) technique. By applying this technique to the product design practice in industry, corporations will be able to improve the product safety, consequently strengthening the competitiveness.

• 한국경영과학회지
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• 제30권3호
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• pp.137-149
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• 2005

This study proposes a framework enhancing the accuracy of estimation for project duration by combining linear Bayesian updating scheme with the learning curve effect. Activities in a particular project might share resources in various forms and might be affected by risk factors such as weather Statistical dependence stemming from such resource or risk sharing might help us learn about the duration of upcoming activities in the Bayesian model. We illustrate, using a Monte Carlo simulation, that for partially repetitive projects a higher degree of statistical dependence among activity duration results in more variation in estimating the project duration in total, although more accurate forecasting Is achievable for the duration of an individual activity.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 2010년도 춘계국제학술대회
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• pp.165-180
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• 2010

This study takes a holistic approach to understanding the diffusion of IPTV services by combining the adoption-diffusion model and the use-diffusion model of innovation. IPTV service, a leading Digital converged application coupling media content with telecom, has been recently launched commercially in Korea. We created a structural model of adoption-diffusion, using the perceived ease-of-use and usefulness of TAM(Technology Acceptance Model) as mediating variables, and a structural model of use-diffusion, with the rate of use and the variety of use as mediating variables. To empirically analyze these models, non-users of IPTV were surveyed using the adoption-diffusion model to identity factors influencing their intention to subscribe to the service. Meanwhile, users of IPTV were surveyed using the use-diffusion model to determine the factors that influence their satisfaction with the service and their intention to fe-use it. Under the adoption-diffusion model, we found that trialability, household innovativeness and perceived risk were the determinants of user satisfaction with IPTV, and perceived ease-of-use, the mediating factors. Under the use-diffusion model, complementarity and communication were shown to be the determinants of users' satisfaction with IPTV, and variety of use, the mediating factor. We also found that consumers' intention to re-use IPTV was strongly influenced by its relative advantage and perceived risk.

• 한국지반환경공학회 논문집
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• 제18권2호
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• pp.21-27
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• 2017

In order to evaluate landslide susceptibility in Yanbian region, this study analyzed 7 factors related to landslide occurrence, such as soil, geology, land use, slope, slope aspect, fault and river by Analytic Hierarchy Process (AHP), and calculated the weights of these 7 hazard-induced factors, determined the internal weights and the relative weights between various factors. According to these weights, combining the Remote Sensing technology (RS) with Geographic Information System technology (GIS), the selected area was evaluated by using GIS raster data analysis function, then landslide susceptibility chart was mapped out. The comprehensive analysis of AHP and GIS showed that there has unstable area with the potential risk of sliding in the research area. The result of landslide susceptibility agrees well with the historical landslides, which proves the accuracy of adopted methods and hazard-induced factors.

• 벤처혁신연구
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• 제6권1호
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• pp.1-16
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• 2023

4차산업혁명의 진전과 코로나19 팬데믹으로 인하여 구독경제가 급격히 확산 되고 있다. 특히 제품의 서비스화가 진전되면서 구독경제는 더욱 확대될 것으로 보인다. 본 연구에서는 이러한 구독경제의 확산을 위해 소비자 관점에서 이를 촉진하는 요인과 방해하는 요인에 대해 실증적으로 분석하고자 했다. 이를 위해 품질에서 만족, 충성도, 성과로 이어지는 매커니즘을 밝힌 SPC(Service Profit Chain) 모델을 토대로 혜택 요인과 희생 요인을 함께 다루고 있는 VAM(Value-based Adoption Model)의 framework을 결합하여 연구 모형을 도출하였다. 혜택 요인으로 유용성과 편의성을, 희생 요인으로 인지된 위험과 인지된 비용을 도출하였다. 이러한 요인들이 이용 만족도와 지속 이용 의도에 미치는 영향을 분석하였다. 실증 분석을 위해 구독경제 이용 경험이 있는 사람들을 대상으로 설문조사를 실시하였으며, 유효한 300부를 분석하였다. 분석은 AMOS 24를 활용하여 구조방정식으로 하였다. 실증 분석 결과 편의성은 이용 만족도에 유의한 정(+)의 영향을 미치는 것으로 나타났다. 인지된 위험과 인지된 비용은 이용 만족도에 부(-)의 영향을 미치는 것으로 분석되었다. 반면, 유용성은 이용 만족도에 유의한 영향을 미치지 않는 것으로 나타났다. 이용 만족도에 영향을 미치는 영향력의 크기는 인지된 비용, 편의성, 인지된 위험 순이었다. 이용 만족도는 지속 이용 의도에 유의한 정(+)의 영향을 미치는 것으로 나타났다. 이러한 연구 결과는 학술적인 차원에서 기존의 검정된 모형을 결합하여 그 유효성을 검정하므로서 연구의 지평을 넓혔고, 실무적 차원에서는 인지된 비용이 여전히 중요한 요인임을 검정하였다는 점에서 의의가 있는 것으로 사료 된다.

• 산업경영시스템학회지
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• 제40권4호
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• pp.147-153
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• 2017

The mortality rate in industrial accidents in South Korea was 11 per 100,000 workers in 2015. It's five times higher than the OECD average. Economic losses due to industrial accidents continue to grow, reaching 19 trillion won much more than natural disaster losses equivalent to 1.1 trillion won. It requires fundamental changes according to industrial safety management. In this study, We classified the risk of accidents in industrial complex of Ulju-gun using spatial analytics and data mining. We collected 119 data on accident data, factory characteristics data, company information such as sales amount, capital stock, building information, weather information, official land price, etc. Through the pre-processing and data convergence process, the analysis dataset was constructed. Then we conducted geographically weighted regression with spatial factors affecting fire incidents and calculated the risk of fire accidents with analytical model for combining Boosting and CART (Classification and Regression Tree). We drew the main factors that affect the fire accident. The drawn main factors are deterioration of buildings, capital stock, employee number, officially assessed land price and height of building. Finally the predicted accident rates were divided into four class (risk category-alert, hazard, caution, and attention) with Jenks Natural Breaks Classification. It is divided by seeking to minimize each class's average deviation from the class mean, while maximizing each class's deviation from the means of the other groups. As the analysis results were also visualized on maps, the danger zone can be intuitively checked. It is judged to be available in different policy decisions for different types, such as those used by different types of risk ratings.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.547-550
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• 2006

This study is to suggest a methodology to produce landslide hazard map by combining LRA (Logistic Regression Analysis) and AHP (Analytic Hierarchy Program) Approach. Topographic factors (slope, aspect, elevation), soil drain, soil depth and land use were adopted to classify landslide hazard areas. The method was applied to a 520 $km^2$ region located in the middle of South Korea which have occurred 39 landslides during 1999 and 2003. The suggested method showed 58.9 % matching rate for the real landslide sites comparing with the classified areas of high-risk landslide while LRA and AHP showed 46.1 % and 48.7 % matching rates respectively.

• 환경영향평가
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• 제6권1호
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• pp.93-103
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• 1997

LHR(Landfill Site Hazard Ranking Model) was developed for ranking the relative hazard of landfill sites by using the method of value-structured approach. LHR consists of combining a multiattribute decision-making method with a Qualitative risk assessment approach. A pairwise com parisian method was applied to determine weights of landfill site factors related. To determine the hazard of landfill site, hydrogeological factors, waste characteristics factors and receptors factors were evaluated by LHR. LHR can help decision-makers prioritization of remediation of landfill sites through the relatively convenient and concise evaluation method of landfill site features related. LHR focuses mainly on pathways of groundwater and surfacewater for evaluating landfill hazard to receptors including humans. To validiate the applicability of LHR, Nanjido Landfill site, Metropolitan Landfill site, and Hwasung Landfill site were evaluated.

• 한국수자원학회논문집
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• 제48권9호
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• pp.757-768
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• 2015

최근 기후변화는 짧은 시간의 지역적인 집중호우와 예상치 못한 폭우에 영향을 미치고 이는 생명과 재산의 손실에 영향을 준다. 본 연구에서는 침수위험도를 결정하기 위한 방법으로 산술평균방법, 가중평균방법, 주성분 분석방법을 이용하여 침수위험도에 따른 순위를 결정하였다. 재해연보 및 도시계획 현황에서 선택한 인자들에 대한 표준화를 통해 단위를 통일시켰으며 표준화를 통한 산술평균방법, 상관관계분석을 통한 가중평균방법, 상관도가 높은 인자들을 묶어 분석한 주성분 분석방법을 통해 침수위험도를 결정하고 그 순위를 나타내었다. 본 연구에서 사용된 산술평균방법의 경우 간단하기는 하지만 각각의 인자들이 동일한 가중치를 가지는 문제점이 있고 가중평균 방법의 경우 각각의 인자들이 다른 가중치를 갖기는 하지만 많은 변수들 때문에 변수들 간의 상관관계가 복잡해지는 문제점이 있다. 이러한 문제점을 극복하기 위해 주성분 분석방법을 사용하였으며 각 지역의 수방능력 및 재해위험을 고려한 침수위험도를 결정하였다.

• 한국안전학회지
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• 제38권4호
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• pp.23-31
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• 2023

Revising the Occupational Safety and Health Act led to enacting and revising related laws and systems, such as placing fire observers in hot workplaces. However, the operating standards in such cases are still ambiguous. Although fire accidents occur through multiple and multi-step factors, the hazards of fire accidents have been identified in this study as individual rather than interrelated factors. The aim has been to identify multiple factors of accidents, outlining fire and explosion accidents that recently occurred in the domestic manufacturing industry. First, major keywords were extracted through text mining. Then representative accident types were derived by combining the main keywords through the co-word network analysis to identify the hazards and their relationships. The representative fire accidents were identified as six types, and their major hazards were then addressed for improving safety measures using the identification of hazards in the "Risk Assessment" tool. It is found that various safety measures, such as professional fire observers' training and clear placement standards, are needed. This study will provide useful basic data for revising practical laws and guidelines for fire accident prevention, system supplementation, safety policy establishment, and future related research.