• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2004.07a
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• pp.384-384
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• 2004

• Proceedings of the Technology Innovation Conference
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• 1997.12a
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• pp.104-130
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• 1997

This study empirically examined different patterns of collaborative R&D project with their key success factors(KSFs), using data from 80 projects in the Korean electronic parts industry The patterns in this study were categorized into 4 types by two criteria : product types(off-the-shelf/unique) and project initiator (focal/partner). The bivariate relationships revealed that project characteristics (technological complexity, demand certainty), partner characteristics(the number of partners, precious experience), process characteristics (participation in the project formulation, specificity of the collaboration process and outcomes) appear to be different among four types of collaboration. Furthermore, this study found that each type of collaborative R&D projects has different KSFs for their commercial success. The KSFs of type 1 (off-the-shelf product and focal organization initiation), for instance, include the strategic importance of the project, the problem solving performance of the focal organization while those of type 4(unique product and partner initiation) are technological complexity, demand certainty, reliability of partner relationship, specificity of the goals, specificity of the process and outcomes, information sharing. Finally, based on this empirical results, managerial, policy, and theoretical implications of the study were discussed.

• 한국디지털정책학회:학술대회논문집
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• 2004.05a
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• pp.343-354
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• 2004

A Project planning is one of the most important processes that determines success and failure of the project. Scope management for project planning is also essential job in system integration project. However project planning is very difficult because lots of factor and their relationships should be considered. Therefore project planning of SI project has been done by project manager s own knowledge and experiences. It is necessary to develop an algorithm of WBS(Work Breakdown Structure) identification & document selection along to project's specificity in project management system using AI technique. This study also present method (ODW model) to cope with the limitations of the existing study that has uniformly customizing the methodology by only project complexity. We propose PPSM(Project planning support module) that apply Rule for determination of route map and document level, and CBR for WBS identification.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.629-630
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• 2015

'Sabine Pass Liquefaction Project (SPL Project)', a case study in this report, is the first construction project of a U.S. liquefaction facility for shale gas export overseas. This study analyzes the SPL Project to give understanding and a guideline to Korean EPC companies by benchmarking about effective risk-sharing strategies on EPC contracts. This study consists of three parts. The first summarizes the liquefaction process adopted on the SPL Project, named the 'ConocoPhillips Optimized Cascade Process', and compares it with other competitive liquefaction processes. The second introduces the unique features of the SPL EPC contract by comparing it with two other EPC forms of contracts: a FIDIC Silver Book for onshore plant projects and a contract of an offshore oil production (FPSO) project. The third focuses on the complexity of project financing (PF), especially lenders control and impact on the EPC contract such as covenant provisions to constrain variations and changes on the EPC Contract. From these conclusions, it is anticipated that this case study can provide a guideline for successful performance of Korean EPC contractors overseas.

• Journal of information and communication convergence engineering
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• v.6 no.3
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• pp.323-326
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• 2008

Data Envelopment Analysis (DEA) is a theoretically sound framework for performance analysis that offers many advantages over traditional methods such as performance ratios and regression analysis. Largely the result of multidisciplinary research during the last three decades in economics, engineering and management, DEA is best described as an effective new way of visualizing and analyzing performance data. Besides, overseas information technology companies have aggressively tried to enter the domestic market. In the age of globalization and high competition, it is imperative that the system integration (SI) companies need to introduce the performance evaluation models of SI projects, including Capability Maturity Model and Software Process Improvement and Capability Determination, to gain a competitive advantage. Therefore, it makes our research regarding evaluation of SI projects very opportune. The purpose of the study is not only to evaluate efficiency of each project by DEA but also to gain insight into various factors such as project complexity, team members' man-months structure, and process index(project management index) that link to the projects performance.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.5
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• pp.566-570
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• 2010

Use Case Point(UCP) is a measure of a software project size for software effort estimation based on use case. UCP measures the size of the software project based on the use case model. Because UCP is based on the use case model, it is intuitive and easy to obtain. Also, it does not require extra artifacts. On the other hand, UCP has some problems. UCP assumes every transaction has the same complexity. But, the number of operations and complexity of operations may affect complexity of transaction. In addition, UCP uses simple rating scale of complexity, but it may be inadequate for detailed estimates. To solve these problems, we suggest "Transaction Point(TP)", a size measure based on use case transaction. TP considers actors and operations in transaction. Complexity of transaction is based on the number of operations and complexity of operation, so it can support detailed estimation.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.284-291
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• 2022

Historical data from comparable projects can serve as benchmarking data for an ongoing project's planning during the project scoping phase. As project owners typically store substantial amounts of data generated throughout project life cycles in digitized databases, they can capture appropriate data to support various project planning activities by accessing digital databases. One of the most important work tasks in this process is identifying one or more past projects comparable to a new project. The uniqueness and complexity of construction projects along with unorganized data, impede the reliable identification of comparable past projects. A project scope document provides the preliminary overview of a project in terms of the extent of the project and project requirements. However, narratives and free-formatted descriptions of project scopes are a significant and time-consuming barrier if a human needs to review them and determine similar projects. This study proposes an Artificial Intelligence-driven model for analyzing project scope descriptions and evaluating project similarity using natural language processing (NLP) techniques. The proposed algorithm can intelligently a) extract major work activities from unstructured descriptions held in a database and b) quantify similarities by considering the semantic features of texts representing work activities. The proposed model enhances historical comparable project identification by systematically analyzing project scopes.

• Journal of Information Technology Services
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• v.13 no.4
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• pp.169-188
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• 2014

Recently the complexity and difficulty of the IT projects are increasing due to technological and environmental risks, resulting in the adoption of PMO(Project Management Office) onto IT project management practices, including public area projects. For example, the Korean government regulated the application of PMO onto large scale public IT projects. However, since there has been no reliable method to estimate the cost to execute PMOs, a PMO cost evaluation model to support the budget and cost planning of PMO projects is required. Thus, the purpose of this research is to develop a systematic cost evaluation model for PMO projects. We identified the dimensions that determine the PMO execution cost to be the scale of the subject project, the technical difficulty level of the subject project, and the tasks to be executed in the PMO project. Based on the determinants, the PMO execution cost model were developed from historical data and experts opinion. Upon verification, the validity of the developed model has high level of consistency compared with their experiences of real PMO project costs.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1440-1445
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• 2009

Clients demands have been changed by construction circumstances such as high-technology, megaprojects, and the complexity of construction. Advanced foreign nations have already introduced and applied new project delivery systems (i.e, CM, DB, etc.) to deal with the change of such that. Korea has also promoted variation of the delivery systems for the progressive measure to the rapid changeable situation. Even though government has made his efforts as stated above, some clients have uniformly used those to public construction projects. That is because there are not selection criteria of project delivery system for clients. Therefore, this study presented the selection criteria of project delivery system based on project types in the public large construction projects. In addition, the study has verified the viability of the presented models through consultation with professionals and experts.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.700-701
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• 2015

Nuclear power plant construction project can be called essential to establish a systematic project management system compared to other construction projects, taking into account the size and complexity and safety. To develop into a project management system for the Korea situation with the ongoing construction of the nuclear power plant was directed to promote nuclear power project management. In this paper, we introduce a comprehensive project management system for nuclear power projects. Currently considering the nuclear life cycle design, construction, and was developed by considering the flow of information to operate, and test each step linkage. The systems in English were developed to meet owner's requirements for advancing into overseas projects. Another point is that the systems were developed by management module, so that functions of each area can be selectively applied. It is expected that the system will establish itself as one that can be used for the entire lifecycle of nuclear power plants through gradual and systematic establishment of necessary data.