• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.6
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• pp.567-574
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• 2018

Risk management is a method to 1) identify risks that can adversely affect the cost, schedule, and target achievement performance of a system development project, and 2) manage the identified risks based on the severity and likelihood assigned to each risk item. Risk management is applicable to various fields, since it can manage the cost/schedule and effectively guides accomplishing the target performance by identifying and managing the risks in advance, which necessitates many concurrent studies. This paper proposes a procedure to estimate the severity value for a risk item using a Kalman filter. It is assumed that the severity can be expressed as an equation consisting of cost/schedule loss during the risk event. A linear Kalman filter is used to reduce the error between the true and estimated values, which can eventually save resources spent on the risk management procedure. A simulation test case was conducted to demonstrate the validity of the proposed method.

• 한국IT서비스학회:학술대회논문집
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• 2002.06a
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• pp.63-69
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• 2002

최근의 정보시스템 업체들은 e비즈니스 분야의 IT프로젝트로 특수를 누리고 있다. 이런 새로운 분야의 IT프로젝트는 급변하는 기술의 추세와 연봉제로 활성화된 인력의 이동이라는 어려운 관리적 요인들을 접하고 있다. 즉, 단지 재무적 관점뿐만 아니라 시간적, 자원적, 품질적, 그리고 새로운 환경에 적웅해야하는 위험적 요인등 그 관리요소가 증가하고 있다. 그래서 프로젝트조직이나 관련기업의 경우 eIT분야의 프로젝트를 관리하기 위한 새로운 개념이나 방법론의 개발이 요구되고 있는 실정이다. 이에 본 논문에서는 최근의 정보시스템 업체들이 직면하고 있는 프로젝트관리의 어려운 점을 살펴보고, e비즈니스 환경의 정보기술프로젝트의 환경적 특성을 고려한 프로젝트 관리의 새로운 접근법을 엔트로피 이론에 기반 하여 설명하였다. 그리고 마지막으로 사례에 근거한 예제를 제시하여 엔트로피에 의한 프로젝트관리의 적용가능성을 제시하였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.25-40
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• 2019

Many companies are executing big data analysis and utilization projects to legitimize the development of new business areas or conversion of management or technical strategies. In Korea and abroad, however, such projects are failing because they are not completed within specified deadlines, which is not unrelated to the current situation in which the knowledge base for big data project risk management from an engineering perspective is grossly lacking. As such, the current study analyzes the risk factors of big data implementation and utilization projects, in addition to finding risk factors that are highly important. To achieve this end, the study extracts project risk factors via literature review, after which they are grouped using affinity methodology and sifted through expert surveys. The deduced risk factors are structuralize using factor analysis to develop a table that categorizes various types of big data project risk factors. The current study is significant that in it provides a basis for developing basic control indicators related to risk identification, risk assessment, and risk analysis. The findings from the study contribute greatly to the success of big data projects, by providing theoretical basis regarding efficient big data project risk management.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.10
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• pp.389-396
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• 2014

There are many defects when we're working on a project. Especially, if we don't have experience in similar field, defects have a strong influence on the system entirely. Therefore, management of risk such like defects is important the factor for success of project. Finally, efficient management of risk can guarantee handling problems such like fault tolerancy, unexpected quality and delay of schedule. In this paper, we propose checkpoint for improvement of reliability and are willing to improve the reliability of an entire system using it.

• Journal of the Korean association of regional geographers
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• v.11 no.4
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• pp.511-522
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• 2005

This paper aims at analyzing the current status, characteristics and problems of housing development project finance firstly, and secondly, examining the policy measures in order to enhancing the housing development project finance systems. The main results of this paper are as follows. Project finances are very activated in the housing development projects, especially, apartment development, since 2001. But most of housing development project finance are not virtual project finance, but conditional corporate finance, because most of project finance didn't uses bankruptcy remote. Therefore, the main policy measures in order to activate effective growth of project finance are, first, institutionalizing of project finance, second, enhancing the feasibility study capabilities of finance companies, third, using the real estate funds effectively, and forth, networking housing development project finances with long-term mortgage finances.

• 한국IT서비스학회:학술대회논문집
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• 2003.05a
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• pp.355-362
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• 2003

정보시스템 개발 프로젝트는 그 속성상 고객, 팀원, 환경등의 요인으로 유일성을 가지고 있어 개발 과정을 체계적으로 관리하기가 매우 힘들고 프로젝트의 대형화, 전문화, 복잡화, 장기화에 따라 더 많은 리스크(risk)요인과 불확실(uncertainty)요인이 존재한다. 따라서 본 연구는 정보시스템 개발 프로젝트의 실패에 영향을 미치는 리스크요인을 도출하고, 리스크요인들의 중요도(위험도)를 측정하기 위한 AHP(Analytical Hierarchy Process) 모델을 제시함으로써 프로젝트 수행 시에 발생할 수 있는 리스크를 관리하고, 실질적인 의사결정도구를 제공하고자 한다.

• Journal of Korean Society of societal Security
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• v.3 no.1
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• pp.61-66
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• 2010

Recently a construction industry introduces information technology that brings about many advantages in the early planning phase, design phase and construction phase. Nevertheless a BIM has a many benefits, it has limits which are not only usually using 3D modeling but also limit of making full use of practical affairs because of a lack of connecting varietals of progress of work. To solve these uppermost limits, this research is presenting unified systems to use in risk management which are efficient management of space and non-space information, space analysis.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.79-86
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• 2021

In order to increase the probability of success in big data projects, quantified techniques are required to analyze the root cause of risks from complex causes and establish optimal countermeasures. To this end, this study measures risk factors and relationships through SNA analysis and presents a way to respond to risks based on them. In other words, it derives a dependency network matrix by utilizing the results of correlation analysis between risk groups in the big data projects presented in the preliminary study and performs SNA analysis. In order to derive the dependency network matrix, partial correlation is obtained from the correlation between the risk nodes, and activity dependencies are derived by node by calculating the correlation influence and correlation dependency, thereby producing the causal relationship between the risk nodes and the degree of influence between all nodes in correlation. Recognizing the root cause of risks from networks between risk factors derived through SNA between risk factors enables more optimized and efficient risk management. This study is the first to apply SNA analysis techniques in relation to risk management response, and the results of this study are significant in that it not only optimizes the sequence of risk management for major risks in relation to risk management in IT projects but also presents a new risk analysis technique for risk control.

• The Journal of Information Systems
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• v.20 no.3
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• pp.129-159
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• 2011

본 연구의 목적은 PMO의 기능들이 프로젝트 성과에 미치는 직접 효과와 프로젝트 관리 프로세스의 수행을 통한 간접 효과를 PLS 경로모형을 통해 파악하는데 있다. 또한, PMO 역량 및 최고 경영진의 지원에 따른 프로젝트 성과의 차이의 상호 효과 및 그 효과의 크기를 찾고자 한다. 본 연구에서는 방법론 제공, 행정적 지원, 교육 및 훈련, 자원 관리, 지식 관리를 통하여 형성되는 PMO기능과 통합, 범위, 시간, 비용, 품질, HR, 커뮤니케이션, 위험, 자원조달 등을 통하여 형성되는 프로젝트 관리과정을 측정하기 위하여 2차 요인 모형(second-order construct model)으로 연구 모형을 검증하였다. 본 연구에서 각 1차 요인(first-order construct)은 반영지표를 이용하여 분석 하였으며, 2차 요인은 조형지표를 이용하여 분석하였기에, 반영지표와 조형지표가 모두 포함되어있는 모형 분석에 용이한 자료처리 도구인 PLS를 이용하였다. 본 연구의 설문대상은 PMO의 지원 하에서 프로젝트를 수행해 본 경험이 있는 프로젝트관리자나 프로젝트 리더와 같은 전문가 집단으로 한정하여 온라인 설문조사를 실시하였다. 분석 결과, PMO 기능 및 프로젝트 관리과정 모두 프로젝트 성과에 유의한 영향을 미치는 것으로 확인되었다. 또한 PMO기능을 수행할 때, PMO역량에 따라 프로젝트 성과에 유의한 차이가 존재함이 확인되었다. 따라서 경영진들은 프로젝트 수행 시 프로젝트 성과에 긍정적 영향을 미치는 PMO의 설립을 적극적으로 검토해야 한다. 또한 PMO의 역량에 따라 프로젝트 성과에 차이가 발생하므로 프로젝트를 관리하는 PMO에 충분한 권한을 부여하고 경영진의 지원을 신속하게 함으로써 프로젝트를 성공적으로 수행할 수 있을 것이다.

• Journal of the Korea Institute of Building Construction
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• v.10 no.4
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• pp.83-93
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• 2010

With construction projects continuously becoming more massive and complex, risk factors have been consistently increasing. To achieve a successful project, it is very important to identify and cope with such risk factors. Therefore, the purpose of this study is to suggest plans of reducing risk, not only for describing the drafting process for construction planning but also for systematically organizing constraints and risk factors in earth work, foundation work and reinforced concrete construction. To achieve these objectives, this study 1) analyzes previous theories about risk classification structure, 2) performs a case study of an actual project to embody the problems of safety management by analyzing the results of an interview with a construction engineer. In conclusion, the following factors were systematically organized: 1) characteristics of construction site (purpose, structure, floor, etc.); 2) the actual application conditions of the main construction methods; 3) the relationship between constraints and risk factors.