• 유통과학연구
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• 제14권6호
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• pp.89-98
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• 2016

Purpose - This article tackles risk communication issues and aims to address the characteristics of MERS risk information distribution in South Korea, and secondly to examine the communicative behavior of the public health authority in terms of the quality of communication strategies. Thirdly, the study attempts to figure out the risk communication to cope with MERS through the applications of SMCRE model in chronological order. We employ the social amplification of risk framework for analyzing the emergent public response as one of the main approaches. Research Design, Data and Methodology - The main framework of this study is theoretically based on the social amplification of risk, which describes signals about risk transmitted and processed by individuals and social groups. The model also reflects the interactions between social groups and institutes about disaster-related risk issues, which are potential amplifiers or attenuators of communication signals. S-M-C-R-E Model is methodologically employed to examine the social amplification for MERS risk information in each period, which we defined operationally. The proposed methodology allows the assessment of effectiveness and ineffectiveness on risk communication to be conceptualized as a countermeasure against disasters. The paper focuses on exploring how social risk amplification can be applied and organized in each stage. Results - The SMCRE model describes the exchange of risk information and is also applied to all forms of communication between stakeholders including public health authority, local government and media. Each factor of risk communication includes source, message, channel, receiver and effect. The results support that the effective risk communication involves not only the improved reliability of public health authority as a key factor of risk communication, but also a close cooperation and good collaboration with local governments. It does not seem to be possible that the government-initiated risk communication based on controllability and management cope effectively with infectious disease in early stage. The results of this study imply that the shared risks between local, regional and national authorities can enhance risk communication system. Conclusions - The study supports that the disparities in how disaster-related risk information is interpreted and coded, have made effective risk communication and public sense-making impeded. Our findings support a more communicative discussion about the role of risk information sharing between governments for the improvement of emergency management and underline the importance of social elements in the risk communication, such as relationship and trust building. Findings suggest that trust building between stakeholders could be added to help explain the processes of social amplification and attenuation of risk. It would be recommended that the continuous risk communication with all the involved stakeholders will be able to help national health promotion policy to be improved regarding emergency management. Furthermore, risk communication has to be a scientific approach for the communication pertaining to potentially sensitive or controversial situations with public concerns and low public trust.

• The Journal of Asian Finance, Economics and Business
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• 제9권9호
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• pp.249-261
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• 2022

Globally, COVID-19 has significantly impacted many different organizations and people. From the banks' perspective, this pandemic has affected banks' corporate and retail customers. Also, banks had to adjust to distributed workforce model. This paper analyses the lessons learned from the COVID-19 pandemic, which can be effectively used to rebuild banks' Operational Risk Management capabilities. The present study used the survey research methodology, which includes structured questionnaires completed by senior banking professionals to analyze the learnings from COVID-19 and understand the distributed workforce model and remote working effectiveness. Findings: The Pandemic accelerated the pace of digital transformation. The lockdown imposed due to the pandemic led to employees working remotely, which has been effective because of enhanced digital capabilities. However, enhanced monitoring is required to prevent data-related issues, and action needs to be taken to address challenges faced in having a remote distributed workforce model, like negative impact on on-the-job learning, data-related risks, and employee wellbeing. COVID-19 is an unprecedented event that could not have been predicted in any scenario analysis. This crisis has highlighted various systemic drawbacks that need to be addressed. Banks can apply the lesson learned from this Pandemic to become more robust in the future.

• 한국안전학회지
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• 제23권4호
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• pp.72-78
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• 2008

In any form of construction work, it is essential that accidents be prevented at every stage from foundation preparation to build completion. For this, it is necessary to use models that can assess risk and provide instruction for safe work processes so that the risk of accidents is reduced. Currently, however, very few models can perform these tasks. In this paper, we presents a model that assesses risk quantitatively by analyzing risk factors involved in stage of construction such as foundation work, erection work, structural work, equipment work, finishing work and etc work. The model performs assessment based on examples of accidents and by investing actual conditions during construction. In addition, we presents in this paper a safety management system was developed to assess risk during construction and to effectively train laborers.

• 한국안전학회지
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• 제24권6호
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• pp.124-131
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• 2009

In any form of construction work, it is essential that accidents be prevented at every stage, from foundation preparation to build completion. For this, it is necessary to use models that can assess risk and provide instructions for safe work processes so that the risk of accidents is reduced. Currently, however, very few models can perform these tasks. In this paper, we present a model that assesses risk quantitatively by analyzing the risk factors involved in each stage of construction, such as foundation work, temporary work, structural work, equipment work, and finishing work. The model performs assessment based on examples of accidents and by investigating actual conditions during construction. In addition, we present in this paper a safety management system developed to assess risk during construction and to effectively train laborers.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.488-493
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• 2013

Accurate initial cost estimates are essential to effective management of construction projects where many decisions are made in the course of project management by referencing the estimates. In practice, the initial estimates are frequently derived from historical actual cost data, for which standard distribution-based techniques are widely applied in the construction industry to account for risk associated with the estimates. This approach assumes the same probability distribution of estimate errors for any selected estimates. This assumption, however, is not always satisfied. In order to account for the probabilistic nature of estimate errors, an alternative method for measuring the risk associated with a selected initial estimate is developed by applying the Bayesian probability approach. An application example include demonstrates how the method is implemented. A hypothesis test is conducted to reveal the robustness of the Bayesian probability model. The method is envisioned to effectively complement cost estimating methods that are currently in use by providing benefits as follows: (1) it effectively accounts for the probabilistic nature of errors in estimates; (2) it is easy to implement by using historical estimates and actual costs that are readily available in most construction companies; and (3) it minimizes subjective judgment by using quantitative data only.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 가을학술발표대회논문집
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• pp.265-266
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• 2023

Recently, many disasters have occurred due to poor management of construction site. In addition, as legal regulations on safety management at construction sites are strengthened, its importance is being further emphasized. In relation to smart safety management technology, a study was introduced to build an analysis model through various safety-related data collected within construction companies. This model derives quantitative disaster risk about the site level through information related to past disasters and near misses. However, construction work is performed separately by work group of each partner company. There is a limitation in that individual workers cannot directly experience this analysis information. In this study, we propose a method to derive the safety disaster risk of individual work units from disaster risk of the site level. We expect that this study to be helpful for smart safety management technology of construction sites.

• 한국안전학회지
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• 제20권4호
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• pp.71-77
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• 2005

There are insufficient models that find problems and solutions for accident prevention through risk assessment and suggest safe work process and work instruction from foundation works to finish work for accident decrease. This paper presents a quantitative risk assessment model by analysis of risk factors in each process such as foundation, erection, structure, equipment finish and etc based on accident examples and investigation on actual condition in building. In addition, the safety management system was developed to perform risk assessment of construction and use it for effective safety training for labor.

• 산업경영시스템학회지
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• 제35권3호
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• pp.70-76
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• 2012

This research tested how the perceived risk and the trust affect the usage intention of the cloud computing. To this end, this research setups a research model and tests it with the statistic tools. In order to build the model, TAM (Technology Acceptance Model) and UTAUT (Unified Theory of Acceptance and Use of Technology) were employed and, the factors such as the perceived risk, the trust and the intention of the cloud computing use were derived. This research finds that the perceived risk does not affect the intention of usage. Also the perceived risk has the negative effect for the trust. Thus this research has the following suggestions.

• 중소기업융합학회논문지
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• 제1권1호
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• pp.45-53
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• 2011

소프트웨어 개발은 잦은 요구사항 변경과 같은 많은 종류의 리스크들을 포함한다. 소프트웨어의 비가시적인 특성 등으로 인한 이러한 리스크들은 언제나 프로젝트 성공에 위협적인 요소가 될 수 있다. 따라서 리스크를 사전에 예방하고 최소화하기 위한 프로세스(Process)의 정립이 필요하다. 대부분의 조직이 리스크 관리의 중요성을 인지하고 있지만, 리스크 관리 프로세스를 정의하고 구축하는 것은 전문적인 지식을 요구한다. 업체 표준으로 많은 조직들이 참조 모델로 삼고 있는 CMMI에서도 리스크 관리 프로세스 영역의 중요성을 강조하고 있지만, 상위 수준의 활동 목표와 수행되어야 하는 실천사항(Practice)만을 제시하고 있고 세부적인 절차나 방법들에 대해서는 언급하지 않고 있다. 이에 본 논문에서는 CMMI의 프로세스 개선 모델인 IDEAL을 기반으로 소프트웨어 리스크 관리 프로세스 구축을 위한 모델을 개발했다. 리스크 관리 프로세스를 구축하고자 하는 조직에서는 이 모델을 활용하여 규모와 프로젝트의 특성을 반영한 조직의 환경에 맞는 리스크 관리 프로세스를 구현 할 수 있을 것이다.

• 품질경영학회지
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• 제44권2호
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• pp.373-388
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• 2016

Purpose: This paper suggests a hierarchical time delay model to evaluate failure risks in FMEA(failure modes and effects analysis). In place of the conventional RPN(risk priority number), a more reasonable and objective risk metric is proposed under hierarchical failure cause structure considering time delay between a failure mode and its causes. Methods: The structure of failure modes and their corresponding causes are analyzed together with the time gaps between occurrences of causes and failures. Assuming the severity of a failure depends on the length of the delayed time for corrective action, a severity model is developed. Using the expected severity, a risk priority metric is defined. Results: For linear and quadratic types of severity, nice forms of expected severity are derived and a meaningful metric for risk evaluation is defined. Conclusion: The suggested REM(risk evaluation metric) provides a more reasonable and objective risk measure than the conventional RPN for FMEA.