• Korean Journal of Construction Engineering and Management
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• v.2 no.4 s.8
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• pp.92-97
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• 2001

The level of awareness and actual implementation of integration and computerization in the construction industry is growing. However, it is not clear at this point how to assess the extent of their impact and to identify in which ways they better support the construction projects related to their success. The objectives of this research are the development of a model to evaluate the impact of integration and computerization on construction projects and the recommendation of guidelines for companies in identifying suitable ways for them to incorporate integration and computerization Into their operation. The developed conceptual model has been found robust enough to be used as a benchmarking tool in evaluating the performance of the construction process and to strategize its future operation.

• Proceedings of the Safety Management and Science Conference
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• 2012.04a
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• pp.139-155
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• 2012

A fundamental concepts of business environment changes and the importance of stakeholder's value creation is changing in the business. This study ISO9004: 2009 quality management system of Category 5: Strategy and Policy, Category 10: improvement, innovation and learning (Note) SBK target was to develop a model that is the company's sustained success. Three concepts of the new revision of ISO9004" in response to environmental changes," "learning", "innovation" (Note) SBK applied to the project settings and talent establish long-term vision was to establish the process as the organization's learning content was TDR for the creation of exceptional and innovative programs were introduced. As a result, (Note) SBK three years of continuous business performance indicator has grown dramatically to more than 50% continued success is going to create business models. But 100 years to accomplish the vision, ISO9004 model needs to extends the entire category as a management system to achieve the optimization needed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.1 no.2
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• pp.27-65
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• 2006

This study reviews the success cases of National Research&Development Projects such as TDX and CDMA projects at the catching-up stage and FTTH technology development project at the post catching-up stage. First, we investigate why the success model of national R&D projects at the catching-up stage failed to operate properly at the post catching-up stage, and then we propose improved policies for a successful national R&D project at the post-catching up stage. From the comparison of FTTH development case at the post catching-up with TDX and CDMA cases at the catching-up stage, we observed that at the catching-up stage 1) there are high uncertainties in technology development and it is very difficult to establish technology standards, 2) it is difficult to conduct government driven R&D and to develop a market for the technology developed, 3) it is difficult to share a vision among the participants in the H&D consortium, and 4) commercialization of the technology developed from the project was carried out by SMEs and venture businesses with little marketing capabilities. Also, we discuss the national level technology development strategies and the role of the government for a successful national research and develop project at the post catching-up stage.

• Journal of Technology Innovation
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• v.14 no.2
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• pp.93-116
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• 2006

The purpose of this study is to contribute reference material that provides insight into innovative process management that increases R&D output in commercializing new products. A model of a process from research to commercialization with the cumulative profit and loss curve is put forward and hypotheses related to success and failure are developed at the stages up to product launch. Seventeen large projects that have resulted in successful product launches have been examined from the initial research stage to commercialization. Prefect duration, standardized cumulative R&D expenditures and research resource concentration are analyzed in terms of statistical method and patterns in cumulative profit and loss curves after product sales, as well as the reasons for and other aspects of success/failure are investigated and analyzed. Consequently, valuable information on future management tasks has been obtained such as: (1) project duration differs depending on market sectors, product types and presence/absence of materials research (2) cumulative profit and loss curves can be categorized into four patterns (3) reasons for failure can be divided into technological and market problem categories and (4) these factors have an impact on product sales.

• IE interfaces
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• v.24 no.4
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• pp.408-419
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• 2011

R&D is a foundation for new business chance and productivity improvement leading to enormous expense and a long-term multi-step process. During the R&D process, decision-makers are confused due to the various future uncertainties that influence economic and technical success of the R&D projects. For these reasons, several decision-making models for R&D project investment have been suggested; they are based on traditional methods such as Discounted Cash Flow (DCF), Decision Tree Analysis (DTA) and Real Option Analysis (ROA) or some fusion forms of the traditional methods. However, almost of the models have constraints in practical use owing to limits on application, procedural complexity and incomplete reflection of the uncertainties. In this study, to make the constraints minimized, we propose a new model named Real Option Decision Tree Model which is a conceptual combination form of ROA and DTA. With this model, it is possible for the decision-makers to simulate the project value applying the uncertainties onto the decision making nodes.

• Journal of Information Technology Services
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• v.16 no.3
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• pp.67-81
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• 2017

IT project teams are composed of experts from various domains with different backgrounds, such as business and technologies. Thus, enhancing knowledge sharing and increasing team social capital are critical for the success of the project. This study examines the relationship among the team social capital, team climate and team performance. A research model and hypotheses are developed from literature review and empirically validated. The research model consists of team social capital, team climate and team performance. Specifically, team social capital, as antecedents, wasconceptualized asinternal and external differentiated by team boundary, and team climate is conceptualized as innovative climate and supportive climate. Using measures adopted from previous studies, 166 data points were collected to test the research model and related hypotheses. PLS data analysis indicated that internal and external social capitalhave positive effect on innovative climate while internal social capital has a positive effect on supportive team climate. The innovative and supportive climate has significant effect on the team performance. Based on the results, we proposed several team management skills for IT project managers. Theoretical constributions are discussed at the end with limitations and further studies.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.2
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• pp.172-182
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• 2006

Telematics is a kind of the convergence of industries such as an automobile, communication, contents, and so on. Jeju-Do has been selected as a model city for telematics and has carried out the telematics service project. Jeju Telematics contains six service areas including navigation, traffic information, emergency assistance, leisure information, tour destination information, and cultural life information. Jeju telematics project has been planned to be dealt with the aspects of technological skills and content development. In fact, because of the nature of model project for testing information technologies, Jeju telematics has been strongly approached by technical aspects. However, telematics is composed of services for users. Then, the success or fail of telematics project can be dependent upon the demand of users, and, in general, users are influenced by the contents of services. Thus, the contents of services should be also dealt as a major concern in the telematics project. In this sense, the purpose of this study is to examine the degree of recognition and preference of contents by users about telematics service. Examination is proceeded by a survey method. Based on the result of the survey, this paper proposes the alternatives for the future directions of Jeju Telematics project regarding contents.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.823-830
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• 2022

The risk of project execution increases due to the enlargement and complexity of Engineering, Procurement, and Construction (EPC) plant projects. In the fourth industrial revolution era, there is an increasing need to utilize a large amount of data generated during project execution. The design is a key element for the success of the EPC plant project. Although the design cost is about 5% of the total EPC project cost, it is a critical process that affects the entire subsequent process, such as construction, installation, and operation & maintenance (O&M). This study aims to develop a system using machine-learning (ML) techniques to predict risks and support decision-making based on big data generated in an EPC project's design and construction stages. As a result, three main modules were developed: (M1) the design cost estimation module, (M2) the design error check module, and (M3) the change order forecasting module. M1 estimated design cost based on project data such as contract amount, construction period, total design cost, and man-hour (M/H). M2 and M3 are applications for predicting the severity of schedule delay and cost over-run due to design errors and change orders through unstructured text data extracted from engineering documents. A validation test was performed through a case study to verify the model applied to each module. It is expected to improve the risk response capability of EPC contractors in the design and construction stage through this study.

• Korean Journal of Construction Engineering and Management
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• v.1 no.1 s.1
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• pp.45-52
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• 2000

In Korea, demand for the Social Overhead Capital(SOC) projects has tremendously increased since 1970's and is expected to keep growing to support national economic development as well as to enhance the quality of life. In these projects, project planning and feasibility study phase is one of the most critical phases because it determines the success of later phases. However, we have experienced trial and errors repeatedly such as cost overruns and schedule delays in many of the SOC projects. These problems can be prevented or at least expected in the earlier phase and it requires well-developed and standardized project planning process and systems before design, procurement, and construction phases begin. Therefore, the purpose of this research is to investigate current problems in this phase and provide framework for a model for the project planning management which can be used for the SOC projects to insure the whole project success.

• Journal of Information Technology Services
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• v.10 no.4
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• pp.229-242
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• 2011

It is necessary to have measurement and analysis activity for managing software project. At least, every project measures time and cost in order to figure it out whether it will finish within its deadline. CMMI has Measurement and Analysis process in Maturity Level 2. In Measurement and Analysis process, Indicators for decision making in project management are defined and analysis procedure of the measurements to get the indicators are specified. Also, the way of collecting the data and storing them is also planned. Establishing efficient and effective measurement and analysis process in the organization by improving existing process is very important for project success. In this paper, we provide a method for analyzing the measurement and analysis process and improving it based on IDEAL model. It will support the organizations which are trying to adopt CMMI to establish measurement and analysis process.