• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.553-556
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• 2015

정보시스템 구축 프로젝트 환경이 다양해지면서 다양한 소프트웨어 및 하드웨어의 도입이 검토되고 있다. 환경의 다양성이 증가함에 따라 프로젝트의 위험요소들이 늘어남에 따라, 프로젝트 성공을 위해 프로젝트 전반에 걸친 위험요소에 대한 관심이 높아지고 있다. 기존 프로젝트관리 측면에서의 위험요인에 대한 연구는 지속적으로 있어왔으나, 소프트웨어 관점에서의 위험요소에 대한 연구는 그 동안 부족했다고 판단, 기존 프로젝트 위험요소 정의를 기반으로 소프트웨어에서 정의된 위험관리요소에 대한 재정의를 통해 소프트웨어에 대한 위험요소 정의의 타당성에 대해 확인해 보고자 한다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.481-481
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• 2017

IT 발전은 프로젝트를 수행함에 있어서 직접 대면하여 공동으로 작업을 진행하던 협업 방식을 웹 기반 툴을 활용한 온라인 협업 방식으로 변화시키고 있다. 따라서 다양한 온라인 협업 툴이 개발 및 상용화되고 있으며, 그 중 온라인 오피스로 불리는 Google Docs도 이에 해당한다. 사용자들은 Google Docs를 통해 온라인상에서 무료로 문서 작업을 할 수 있을 뿐만 아니라 다른 사용자들과 문서를 공유할 수 있으며, 해당 문서작업을 동시에 하는 것도 가능하다. 따라서 최근에는 기업뿐만 아니라 교육 기관에서도 협업이 필요한 과제 및 프로젝트를 진행할 때 Google Docs를 활용하고 있는 추세이다. 기존의 면대면 공동프로젝트 방식에 있어서도 성공적인 성과물을 만들어 내기 위해서 여러 중요한 요인들이 제시되어 왔다. 마찬가지로 온라인 협업 툴을 활용하여 창출할 프로젝트 성과물의 품질에도 여러 요인들이 영향을 미칠 것이다. 따라서 높은 품질의 프로젝트 성과물을 창출하기 위해 영향을 미치는 요인들을 확인할 필요가 있다. 하지만 아직까지 온라인 협업 툴을 통한 성과 품질 혹은 결과물에 대한 사용자들의 만족에 대해 검증한 실증적 연구가 부족한 실정이다. 따라서 본 연구는 프로젝트 수행 주체의 개인적 특성, 프로젝트 멤버들간의 관계적인 특성, 협업 툴이 지니고 있는 시스템적 특성을 고려하여 프로젝트 성과물의 품질과 결과물에 대한 만족도를 높일 수 있는 매커니즘에 대해 연구해보고자 한다. 본 연구의 결과를 기반으로 점차적으로 중요시되고 있는 협업 툴의 발전 방향과 사용자들의 활용도 및 만족도를 높일 수 있는 방안을 제시할 수 있을 것으로 기대된다.

• 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.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.5
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• pp.701-710
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• 2022

This study aims to prove the importance and necessity of a project management consultancy (PMC) that systematically manages construction projects to ensure their successful implementation. In order to analyze the interrelationship between the role of PMC and the outcome of the construction projects, structural equation modelling(SEM) was conducted. Hence, one of the critical aspects when conducting the project, human resource competency, especially referring to the competency of project team members and the project manager's leadership, affects the performance of construction projects. As a result of this study, PMC is found to have significant effects on human resource competency and construction project performance. In addition,human resource competency also had a significant effect on construction project performance. Consequently, the research outcomes suggest that introducing PMC services should be done when implementing large domestic infrastructure projects successfully, as doing so will enhance PM leadership and strengthen the capacity of the project team members.

• Journal of the Korea Institute of Building Construction
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• v.11 no.2
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• pp.100-107
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• 2011

As construction duration significantly influences the performance and the success of construction projects, it is necessary to appropriately manage the impact factors affecting construction duration. Recently, interest in the construction industry has been rising due to the recent change in the construction legal system, and the competition among the construction companies on construction time. However, the impact factors are extremely diverse. The existing productivity data on impact factors is not sufficient to properly identify the impact factor and measure the productivity from various perspectives, such as subcontractor, time, crew, work and so on. In this respect, a multidimensional analysis by a data warehouse is very helpful in order to view the manner in which productivity is affected by impact factors from various perspectives. Therefore, this research proposes a method that effectively takes the diverse productivity data of impact factors, and generates a multidimensional analysis. Decision tree analysis, a data mining technique, is also applied in this research in order to supply construction managers with appropriate productivity data on impact factors during the construction management process.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.4
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• pp.417-428
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• 2020

The characteristics of the construction project involved various stakeholders' involvement from the planning stage until completion of the object, which caused the uncertainty to increase. Successful construction projects require risk analysis and appropriate responses. Therefore, this study aimed to confirm the influence of risk management factors on the success of river disaster prevention construction in construction projects and the effect of moderating communication between stakeholders involved in the construction process. The Delphi method was used to derive the risk management factors of the construction process. The survey used a snow ball sampling method. For analysis, SPSS Statistic 20 and SmartPLS 2.0 were used. As a result of the study, the impact of risk management factors on project performance was found to be large in the order of time risk, quality risk, cost risk, safety risk, and construction environment risk. In addition, the impact of the communication moderating effect was large in the order of cost risk, quality risk, construction environment risk, time risk, and safety risk. In this study, it was confirmed that communication between stakeholders related to river disaster prevention work has a moderating effect that changes the ranking of impacts on project performance. This shows the importance of communication in the construction process of river disaster prevention works. This study has important significance in that it identifies the importance of risk management factors and communication in river disaster prevention works.

• Journal of Service Research and Studies
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• v.9 no.1
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• pp.73-86
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• 2019

This study discusses the 4th industrial revolution and technology commercialization (TC), identifies success factor (SFs) for TC from the literature review, and empirically tests these factors through questionnaires to executives in the 4th industrial revolution industries. Literature review identifies 11 SFs and they are communication, management support, incentives for TC, common goals, understanding business, awareness of TC, cooperation among partners, government support, concreteness of technology, demand-pull technology, and experience of TC. Questionnaires were administered to CEOs and CIOs in 202 companies in the 4th industrial revolution industries and final response rate was 64.4% (260 out of 404) that is considered to be high. Respondents rate cooperation among partners as the most important, followed by management support, communication, common goals, and incentives for TC. To successfully pursue technology commercialization projects in the 4th industrial revolution industries, the attention should be focused on SFs that are evaluated as very important.

• Korean Journal of Construction Engineering and Management
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• v.14 no.5
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• pp.92-102
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• 2013

A Project Financing (PF) is a form of project delivery system that is carried out for the purpose of trying to give help to the development of national economy and the construction industry in order attract private investment. However, in the case of Korea, many PF projects are only taking into account the aspect of maximizing development benefits, and the proliferation of PF results in project failure. In addition, the interruption of business has been one after another in the aftermath of the recent financial crisis. These major cause is the result of efforts to block the potential risk of objectively quantifying operations. Nowadays, PF risk analysis in terms of various factors is insufficient. The purpose of this study is to identify and quantify the extensive risk elements to classify the cause of affecting the success of the project PF study prior to propose a methodology for evaluating the integrity of the project PF based on this and to provide a quantitative system that can evaluate the business risk. This study identified the factors that affect the PF business success and failure and establish the metrics that can be quantified through existing research and expert interviews. Factors influencing the success of the PF obtained as a result of surveys and interviews in assessing the soundness of the PF development conditions in the future be able to take advantage of, as well as an objective assessment tool to be able to take advantage of the development is expected.

• Korean Journal of Construction Engineering and Management
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• v.18 no.1
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• pp.48-57
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• 2017

The construction of the first nuclear power plant (Kori #1) in Korea started in 1971, Korea operates 24 nuclear power plants and is constructing 4 in 2015. During about 45 years of construction experience, insufficient studies have been investigated for the identification of critical success factors(CSFs) for nuclear power plant construction. Based on literature reviews and focus group interviews, this study presented a list of CSFs for construction of nuclear power plants. A survey for validating the results of CSFs was conducted with 164 experts. This study indicates that attentions should be placed upon the lowest price-based contract awarding policy, the need for reasonable pricing standard implementation, database development, and deployment for experienced nuclear power plant construction workers, identification and nurturing of competitive subcontractors, and minimization of lag times in construction activities.

• Knowledge Management Research
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• v.24 no.3
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• pp.127-148
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• 2023

Traditional Business Intelligence environment is limited to support the rapidly changing businesses and the exponential growth of data in both volume and complexity of data. Companies should shift their business intelligence environment into Self-Service Business Intelligence (SSBI) environment in order to make smarter and faster decisions. However, firms seem to face various challenges in implementing and leveraging the effective business intelligence system, and academics do not provide sufficient studies related including the success factors of SSBI. This study analyzes the three cases of Korean companies in depth, their development process and the assessment of business intelligence, based on the theoretical model on the key success factors of business intelligence systems. The comparative analysis of the three cases including project managers' interviews and performance evaluations provide rich implications for the successful adoption and the use of business intelligence systems of firms. The study is expected to provide useful references for firms to fully leverage the effects of business intelligence systems and upgrade towards self-service business intelligence systems.