• 제목/요약/키워드: risk management framework

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선진 공여국의 국제개발 사례 분석 기반 지속가능성 리스크 프레임워크 제안 (Proposed Sustainability Risk Framework through the Analysis of Advanced Donor Countries' International Development Cases)

  • 이경태;김주형
    • 한국건설관리학회논문집
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    • 제24권6호
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    • pp.12-23
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    • 2023
  • 국제개발 사업은 공여국의 해외원조를 통해서 수원국의 지속가능한 개발을 돕는 것을 목표로 한다. 그러나 프로젝트 이후의 지속가능성을 유지하기 위해서는 초기단계에서부터 양 국가가 협상하면서 나아가야 함에도 불구하고 명확한 가이드라인이나 기준이 세워지지 않았다. 또한 상대적으로 선진국인 공여국에서 수원국의 상황을 이해하면서 프로젝트를 진행해야함에도 불구하고, 공여국 중심의 프로젝트를 진행하다보니 지속가능성의 가치를 중시하지 못한 경우가 많다. 이에 본 연구는 이론고찰을 통해 지속가능성을 위협하는 경제적, 사회적, 환경적 리스크를 추출하고, 해당 기준들을 기반으로 협상 프레임워크를 제안하였다. 본 프레임워크를 검증하기 위해 실질적으로 선진공여국(호주, 미국, 일본)과 대한민국이 진행한 국제개발 사례들을 분석하였으며, 각 국가의 강조하는 관점을 본 프레임워크를 기준으로 경제, 사회, 환경적 관점에서 분석하였다. 각 국가에서 공유한 계획단계부터 운영단계까지 전체적인 내용을 다룬 보고서를 내용분석한 결과, 선진 공여국이 지속가능성을 유지하기 위해서는 공통적으로 (1) 사전조사의 중요성이 강조되어야 하며 (2) 공여국만의 중점적 가치가 존재함에도 수원국의 국민 및 해당 커뮤니티와의 조율이 필수적이며 (3) 선진국의 보완해야할 가치로는, 경제적으로는 사전 운영 및 유지비용의 고려, 사회적으로는 수원국민들과의 소통, 그리고 환경적으로는 시공 초기 단계에서부터 고려되어야하는 오염물질의 처리가 중요함을 파악하였다. 이와 관련지어 대한민국은 지역 주민들과의 협의도 중시하여 사회적 통합을 이뤄야하며, 현지관리자의 배치를 통한 바른 협상을 통해 지속가능성을 향상시켜야 할 것이다. 본 연구에서 제안한 프레임워크는 양 국가와 현지인들과의 의사소통을 향상시키는 도구로 활용될 것이며 이를 통해 프로젝트 만족도와 지속가능성을 높일 것으로 기대한다.

산업안전보건 분야의 UN 국제적 화학물질관리에 대한 전략적 접근(SAICM) 이행에 관한 연구 (A study on the implementation of UN SAICM in the occupational safety and health)

  • 이권섭;이혜진;이종한;양정선
    • 한국산업보건학회지
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    • 제20권4호
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    • pp.282-294
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    • 2010
  • The purpose of SAICM (Strategic Approach to International Chemicals Management) is to minimize the health and environmental hazards from the production and the consumption of chemicals by improving the chemicals management capability of developing countries and implementing a system of the risk assessment and the management based on the precautionary principle until 2020. To achieve this purpose, the UN has prescribed the principles, objectives and establishment of an action plan for the chemicals management strategy which must be carried out at international, local, and national levels, and requested the implementation of the Global Plan of Action (GPA) comprising of 273 recommendations in 36 work areas. SAICM is currently based on voluntary participation, but is expected to become the basic framework of international order in relation to chemicals management in the future. This study aims to analyze the practice in the occupational safety and health area relating to implement 273 recommendations of the GPA, and propose complementary measures for the system in order to provide political advices for establishing future plans to manage industrial chemicals. Twenty three areas of total 36 work areas and 161 items of 273 recommendations have relevance to occupational safety and health areas. We have found that, as a national implementation level, 157 of 161 industrial safety and health items are being implemented at a satisfactory level in regard to the implementation of the GPA, while 4 items, including the ratification of the ILO Conventions 170, 174, 184, and support for GHS (Globally Harmonized System of Classification and Labeling of chemicals) implementation of developing countries, require additional complementary measures for the system and operation.

제조업사업장 외국인근로자 안전관리 실태와 개선방안연구 (Health and Safety Management Issues of Migrant Workers in Manufacturing Industries and Workplace Enhancement)

  • 라지타 가우설야;아밀라 위라싱헤;김상훈;임형덕
    • 한국산업융합학회 논문집
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    • 제25권2_2호
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    • pp.257-262
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    • 2022
  • With the shortage of labor force in small and medium-size industries, the Korean Employment Permit System (EPS) continues to bring migrant workers. However, the question remains of the health and safety management of their migrant workers. Considering that a significant part of safety and health problems are caused by migrant workers due to a lack of information on identifying risk and inexperience in the field. Telephone interviews were conducted to investigate the migrant workers' perspectives on workplace safety practices. The survey focused on workers' accident histories, understanding of safety practices, and responding to industrial accidents. A total of 66 accidents occurred among 30 participants. 10 accidents were not reported to the employer (company), which the foreign workers judged to be minor injuries that should not be reported as accidents. 80.0% of the participants expressed dissatisfaction with the PPE they were using. Among various reasons lack of understanding due to language barriers, lack of awareness of the importance of safety, communication difficulties were major reasons for the caused accidents and potential health issues. It is necessary to improve the safety and health support system by providing practical support through specialized educational institutes with experts in the field. A legal framework and a proper safety management system need to be maintained. This study suggests changing the current policy to improve the health and safety of migrant workers by, establishing specialized educational institutes with locally grown foreign experts in the field.

Neurosurgical Management of Cerebrospinal Tumors in the Era of Artificial Intelligence : A Scoping Review

  • Kuchalambal Agadi;Asimina Dominari;Sameer Saleem Tebha;Asma Mohammadi;Samina Zahid
    • Journal of Korean Neurosurgical Society
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    • 제66권6호
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    • pp.632-641
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    • 2023
  • Central nervous system tumors are identified as tumors of the brain and spinal cord. The associated morbidity and mortality of cerebrospinal tumors are disproportionately high compared to other malignancies. While minimally invasive techniques have initiated a revolution in neurosurgery, artificial intelligence (AI) is expediting it. Our study aims to analyze AI's role in the neurosurgical management of cerebrospinal tumors. We conducted a scoping review using the Arksey and O'Malley framework. Upon screening, data extraction and analysis were focused on exploring all potential implications of AI, classification of these implications in the management of cerebrospinal tumors. AI has enhanced the precision of diagnosis of these tumors, enables surgeons to excise the tumor margins completely, thereby reducing the risk of recurrence, and helps to make a more accurate prediction of the patient's prognosis than the conventional methods. AI also offers real-time training to neurosurgeons using virtual and 3D simulation, thereby increasing their confidence and skills during procedures. In addition, robotics is integrated into neurosurgery and identified to increase patient outcomes by making surgery less invasive. AI, including machine learning, is rigorously considered for its applications in the neurosurgical management of cerebrospinal tumors. This field requires further research focused on areas clinically essential in improving the outcome that is also economically feasible for clinical use. The authors suggest that data analysts and neurosurgeons collaborate to explore the full potential of AI.

학령기 자녀를 둔 빈곤가족의 스트레스 -일 지역 빈곤가족의 실태와 경험을 중심으로- (A Study on Stress in Poor Families with School Children)

  • 강희경
    • Child Health Nursing Research
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    • 제5권2호
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    • pp.185-197
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    • 1999
  • In the family life cycle, the most important task the families with school children should perform is ‘child education’ and ‘socialization’ However, economic stress on poor families with school children presents multiple problems through the shortage of resources necessary for child education and socialization, inappropriateness of family appraisal, and the insufficiency of the control channels for the efficient management of these confined resources and appropriate appraisal. The objectives of this article are : First, to report research on the actual conditions of the poor families in one area of Cheju and on the relevant health welfare policy, and to examine the appropriateness of the direction and the substance of this policy in terms of the intervention in economic stress on the poor families under the categories of resource management and control of appraisal. Second, to analyze qualitative data extracted from the memoirs of single-parent families living in several areas of Korea under the conceptual framework constructed by literature review in order to get a better understanding of the stress which poor families with school children have experienced. And third, to confirm the factors that can be risk factor but, at the same time, strength to these poor families from presented data and to use them as the basic data from which an intervention model can be developed, based on resource management and control of appraisal. The findings of this article are : First, while the number of absolute poor families in one area of Cheju is increasing and, as a result, the danger of the possibility that multiple problems will occur is also growing, the supporting level of the current policy is no more than a direct resource offer and there is no evidence that resource management is being professionally carried out. When it comes to control of appraisal, due to absence of the professional human resources in this matter, policy performances such as technical education training can have a negative impact. Second, a conceptual framework introduced in this article, ; Economic Pressure → Helplessness → Poor self-esteem → Marital Conflict → Parent-Child financial conflict → Inappropriate socialization → Poor child social competence : is partly verified. And third, judging from the results of the qualitative data, it is confirmed that the healing families, having overcome poverty, show several positive characteristics including : hope, strength, and social support. These findings are identified with the factors of resiliency considered above. According to these results, this article suggests the following. The anti -poverty policy in the future should focus not only on a direct resource offer but also on resource management and the control of appraisal that can magnify its effects. In particular, close attention should be paid to school children since they are in the most crucial period for socialization. Moreover, an emotional labor is such an essential resource for intervention that skilled nurses should play pivotal roles.

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공공기관 지원사업 선정평가 프레임워크 개발 및 적용: 모바일 앱 서비스 지원사업 선정사례 중심 (A Case Study on the Evaluation Framework of a New Service Model in the Public Sector: Focusing on the Mobile Application Project)

  • 배성준;김은희;고준
    • 경영정보학연구
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    • 제14권2호
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    • pp.117-140
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    • 2012
  • 공공분야 신규 서비스 모델의 평가는 성과가 도출되지 않은 상태에서 진행해야 한다는 점에서 그 어려움이 크므로, 산업 육성 및 경제 활성화를 위한 공공 지원사업의 성과를 높일 수 있는 합리적인 평가체계가 필요하다. 본 연구의 목적은 공공기관에서 지원하는 사업의 선정평가 프레임워크를 개발함으로써 보다 합리적인 공공 지원사업 평가체계를 제시하고, 개발된 평가체계를 최근 많은 관심을 받고 있는 모바일 앱 서비스 사업에 적용해 봄으로써 그 활용가능성을 타진해 보는 것이다. 기존 관련 문헌연구와 현재 활용되고 있는 평가체계를 바탕으로 평가항목을 발굴하고, 전문가그룹의 인터뷰와 계층적 분석방법(AHP)을 통해 평가지표 및 가중치를 산정하여 선정평가 프레임워크를 개발하였다. 모바일 앱 서비스 지원사업에 적용할 새로운 평가체계를 위한 평가항목으로 시장지향성, 기술지향성, 서비스 개발역량, 정책지향성을 도출하였고, 각각 세부 평가지표를 발굴함으로써 평가체계를 구성하였다. 앱 개발을 통한 사업화 성과 달성을 목표로 하는 사업의 특성상 응답자들은 평가항목 중 시장지향성을 가장 중요하게 생각했고, 평가지표 중에서는 목표시장과 고객, 수익구조와 경제성 등을 우선순위로 꼽았다. 또한, 이를 활용하여 기존 평가 체계에 의한 앱 개발 지원사업의 재평가를 실시함으로써 실제 기업의 성과 창출에 더 적합한 평가 모델로서의 가능성을 살펴보았고, 본 연구에서 제시한 평가체계가 실제 기업의 성과와 보다 유사한 것으로 나타났다. 연구 결과, 실제 공공기관 지원사업의 선정평가에 적용할 수 있는 평가체계로서의 가능성을 확인했으며, 이를 통해 보다 경쟁력 있는 기업의 과제를 선정함으로써 사업의 목표를 달성하고 성과를 제고할 수 있을 것으로 기대된다. 이와 유사한 지원사업 및 과제에도 적용하여 기업의 프로젝트 수행능력을 배양하고, 공공 지원사업을 통한 산업의 육성과 정책적 성과 제고에 기여할 수 있는 시사점을 도출했다는데 본 연구의 의의가 있다.

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공급사슬관리 (SCM) 운영 변화의 저항에 영향을 미치는 선행요인 평가 : 식품제조 중소기업 K사 사례를 중심으로 (An Examination of Multi-Dimensional Constructs of Resistance to Supply Chain Management (SCM) Change for a Small and Medium Sized Food Production Company)

  • 김대철;김원교;서영규
    • 산업경영시스템학회지
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    • 제42권3호
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    • pp.206-216
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    • 2019
  • The present study identified several antecedents that create perceived resistance to supply chain management (SCM) change. This work particularly emphasizes SCM change, which is notable given its central role in reacting market orientation and varied environmental and managerial conditions. A careful case study on a small and medium sized food production company in South Korea leads to the formulation of our framework including one second-order construct of 'resistance' as well as eight first-order constructs of 'implementing the payment terms', 'balancing of business process', 'fear of responsibility', 'business sustainability transparency', 'past experience of failure', 'competence of work personnel', 'cooperation with third parties' and 'sharing personnel information with partner'. The hypothesized relation of first- and second-order construct was validated using survey sample data collected from 350 respondents who completed their questionnaire instrument. Results from confirmatory factor analysis revealed that nomological validity was established at statistical significance level by identifying six first order constructs of 'implementing the payment terms', 'fear of responsibility', 'business sustainability transparency', 'past experience of failure', a conbined construct of 'competence of work personnel/cooperation with third parties' and 'sharing personnel information with partner'. The findings from our work are expected to provide important insights to the strategy for SCM risk management for small and medium sized company.

A probabilistic framework for drought forecasting using hidden Markov models aggregated with the RCP8.5 projection

  • Chen, Si;Kwon, Hyun-Han;Kim, Tae-Woong
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2016년도 학술발표회
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    • pp.197-197
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    • 2016
  • Forecasting future drought events in a region plays a major role in water management and risk assessment of drought occurrences. The creeping characteristics of drought make it possible to mitigate drought's effects with accurate forecasting models. Drought forecasts are inevitably plagued by uncertainties, making it necessary to derive forecasts in a probabilistic framework. In this study, a new probabilistic scheme is proposed to forecast droughts, in which a discrete-time finite state-space hidden Markov model (HMM) is used aggregated with the Representative Concentration Pathway 8.5 (RCP) precipitation projection (HMM-RCP). The 3-month standardized precipitation index (SPI) is employed to assess the drought severity over the selected five stations in South Kore. A reversible jump Markov chain Monte Carlo algorithm is used for inference on the model parameters which includes several hidden states and the state specific parameters. We perform an RCP precipitation projection transformed SPI (RCP-SPI) weight-corrected post-processing for the HMM-based drought forecasting to derive a probabilistic forecast that considers uncertainties. Results showed that the HMM-RCP forecast mean values, as measured by forecasting skill scores, are much more accurate than those from conventional models and a climatology reference model at various lead times over the study sites. In addition, the probabilistic forecast verification technique, which includes the ranked probability skill score and the relative operating characteristic, is performed on the proposed model to check the performance. It is found that the HMM-RCP provides a probabilistic forecast with satisfactory evaluation for different drought severity categories, even with a long lead time. The overall results indicate that the proposed HMM-RCP shows a powerful skill for probabilistic drought forecasting.

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Development of an Evidence-based Nutritional Intervention Protocol for Adolescent Athletes

  • Lee, Saningun;Lim, Hyunjung
    • 운동영양학회지
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    • 제23권3호
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    • pp.29-38
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    • 2019
  • [Purpose] Effective nutritional intervention can help reduce the risk of nutritional problems and improve athletic performance in adolescents. The five A's (assess, advise, agree, assist, and arrange) model is widely used as the theoretical framework for advice on nutrition, smoking, drinking, and physical activity and it recommends that practitioners in primary health care promote behavior change to facilitate positive outcomes. This model has also been useful in understanding the underlying processes of behavior change. This study aimed to develop both a novel evidence-based nutritional intervention protocol, rooted in sound nutritional theory, and a customizable nutritional intervention program to support sustainable healthy eating, enhance nutrient intake, and improve athletic performance in adolescent athletes. [Methods] In this study, we adapted the 5 A's behavioral change model and motivational interview to develop a theoretical framework to help adolescent athletes change their behavior and achieve their goals. [Results] During each step of the 5 A's protocol, a customized nutritional intervention protocol was developed by nutrition experts for each of adolescent athletes. Each plan was developed to improve the eating habits of adolescent athletes through group education and counseling. All nutritional counseling sessions were designed to enable participants to apply nutritional knowledge and practical action plans to their training and competition conditions to enable each of them to achieve individual athletic goals and facilitate self-management. [Conclusion] A theoretical and evidence-based nutritional intervention protocol was developed to identify and address obstacles to healthy dietary habits in adolescent athletes. This could be used as the basis for further studies aimed at improving nutrient intake and athletic performance in adolescent athletes.

지자체 사이버 공간 안전을 위한 금융사기 탐지 텍스트 마이닝 방법 (Financial Fraud Detection using Text Mining Analysis against Municipal Cybercriminality)

  • 최석재;이중원;권오병
    • 지능정보연구
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    • 제23권3호
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    • pp.119-138
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    • 2017
  • 최근 SNS는 개인의 의사소통뿐 아니라 마케팅의 중요한 채널로도 자리매김하고 있다. 그러나 사이버 범죄 역시 정보와 통신 기술의 발달에 따라 진화하여 불법 광고가 SNS에 다량으로 배포되고 있다. 그 결과 개인정보를 빼앗기거나 금전적인 손해가 빈번하게 일어난다. 본 연구에서는 SNS로 전달되는 홍보글인 비정형 데이터를 분석하여 어떤 글이 금융사기(예: 불법 대부업 및 불법 방문판매)와 관련된 글인지를 분석하는 방법론을 제안하였다. 불법 홍보글 학습 데이터를 만드는 과정과, 데이터의 특성을 고려하여 입력 데이터를 구성하는 방안, 그리고 판별 알고리즘의 선택과 추출할 정보 대상의 선정 등이 프레임워크의 주요 구성 요소이다. 본 연구의 방법은 실제로 모 지방자치단체의 금융사기 방지 프로그램의 파일럿 테스트에 활용되었으며, 실제 데이터를 가지고 분석한 결과 금융사기 글을 판정하는 정확도가 사람들에 의하여 판정하는 것이나 키워드 추출법(Term Frequency), MLE 등에 비하여 월등함을 검증하였다.