• The Journal of Society for e-Business Studies
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• v.21 no.3
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• pp.129-151
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• 2016

The objective of this study is to examine the relationship of organizational justice, project performance and internal and external PMO (Project Management Office) capability by conducting survey of IT project participants worked with PMO. This study was the first case which classifies PMO capability into internal and external by ownership of PMO. PLS-SEM analysis, which used for this study shows internal PMO capability connects with distributive justice and procedural justice, and directly related to project performance. By comparison, external PMO capability has relationship only with procedural justice, but never related to project performance. Furthermore, distributive justice and procedural Justice all have correlation with project performance. In general, capability of external professional consulting firms is utilized for the fairness and objectivity in spite of sufficient internal project management capability. However, the internal PMO capability has greater influence on procedural justice than external's (internal PMO capability > external PMO capability). Also, distributive justice and project performance have direct correlation only with the internal PMO capability. This paper will be an indicator of finding human capabilities which are necessary for internal and external PMO performance, and has great significance of laying a groundwork of project management strategy by PMO.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.38-40
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• 2003

Project monitoring and evaluation is very important, as it can be used to indicate progress and success, including problems and impact of the project. It can also be used for improving project plan, administration, and management. GIS is the visualization method that is extremely helpful in decision making and planning. So GIS is an appropriate tool for agricultural project and program monitoring and evaluation. There are three ways of using GIS in project undertakings i.e. GIS for feasibility studies, GIS for project and program monitoring, and GIS for project and program evaluation.

• Korean Journal of Construction Engineering and Management
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• v.3 no.1 s.9
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• pp.65-73
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• 2002

By its nature, software part of the construction industry such as engineering and so forth has been kept secret to outside, as it determines a company$^{\circ}{\phi}s$ competitiveness. As a result, construction field knowledge usually disappears with the end of a project. The objective of this study is to develop the knowledge management (BM) learning model tuned in to construction area in order to manage project-related knowledge and promote the knowledge management. This study presented a learning model for knowledge management in the construction field, with the aim to integrate a series of processes. The model is composed of EIP, EDMS, knowledge and failure cases management, CoP and e-Learning.

• Journal of Intelligence and Information Systems
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• v.6 no.2
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• pp.91-98
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• 2000

Despite their wide application of some traditional project management techniques like the Program Evaluation and Review Technique, they lack of learning, one of important factors in many disciplines today, due to a static view for project progression. This study proposes a framework for estimation by loaming based on a Linear Bayesian approach. As a project Progresses, we sequentially observe the durations of completed activities. By reflecting this newly available information to update the distribution of remaining activity durations and thus project duration, we can implement a decision support system that updates e.g., the expected project completion time as well as the probabilities of completing the project within the due bate and by a certain date. By implementing such customized system, project manager can be aware of changing project status more effectively and better revise resource allocation plans.

• The Journal of Society for e-Business Studies
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• v.6 no.1
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• pp.55-67
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• 2001

Over the past decade, the topic of work breakdown structure (WBS) has gained an increasing amount of attention from information technology Professionals as an effective tool for managing the complexity of a large-scale information system development project. It is a method for planning and controlling a large-scale information system development. A WBS provides the basis for project organization, cost estimation, task scheduling, and contract management. Based on the authors' practical experience, this paper discusses how to establish a specific WBS and some considerations for developing a well-defined WBS. The model of WBS suggested in this study will provide useful insight and guidelines for establishing the spec-ific WBS for a large-scale information systems development.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.721-728
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• 2007

The prediction of quality characteristics during the design phase of a construction project was fragmented, because no particular method exists. One of the most important key responses is the total displacements (horizontal and vertical). A brainstorming session produces the quality parameters i.e. the control factors which here are identified as: the steel joint, the pile's length, the excavation depth and angle, the distance between the piles, the anchor stretch and length to name just some of the most engaging in the design. The purpose of this study is to optimise these parameters to minimize the total displacements following a methodology based on Taguchi method. For this reason, a 2-level, L₈ orthogonal array has been employed to organize the experimentation. Data is obtained from a real-life excavation project designed on the Plaxis v.8 CAE package. Taguchi analysis is performed in the statistical package Minitab.

• Korean Journal of Construction Engineering and Management
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• v.7 no.4 s.32
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• pp.177-183
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• 2006

Risk-based estimation has been successfully introduced into the construction industry. By incorporating historical data associated with probability analysis, risk-based estimate is an effective decision support aid in considering whether to launch a particular project. The industry challenges, however, especially related with management issues, such as labor shortage, wage growth, and supply chain complexity, have often resulted in poor cost performance. The insufficient assessing the project characteristics (i.e., resource availability, project complexity, and project delivery method) can be the main reasons in the poor cost performance. Because the accuracy level of cost performance prediction can be enhanced by extensive evaluation of the subject project characteristics, a new approach for predicting cost performance in an earlier stage of a project can improve the Industry substantiality, in other words, value maximization. The purpose of this paper is to develop a new methodology in developing a risk-based estimate tool by incorporating extensive project characteristics. To do this, an extensive industry survey was conducted from both private and public sectors in building industry in Korea. In addition, significant project characteristics were identified in terms of cost performance indicator. Although the data collection is limited to Korean industry the suggested approach provides the industry with a straightforward methodology in risk management. As many researchers maintained that front-end planning efforts are crucial in achieving the successful outcome in building projects, the new method for risk-based estimation can Improve the cost performance as well as enhance the fulfillment in terms of business sustainability.

• The KIPS Transactions:PartD
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• v.18D no.4
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• pp.299-308
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• 2011

In the recent years, a variety of projects have been conducted in order to enhance competitiveness of leading businesses and their followers in the market. Accordingly, the importance of project portfolio management has risen in the open market industry. Project portfolio management refers to crucial decision-making processes which aim to maximize benefits by selecting projects most suitable for a strategic objective among multiple projects with limited resources. In this study, the trend of project portfolio management studies is introduced. The study also presents a mathematical model of the problem, which aims at maximizing project values, possibility, and similarity between projects in the limited resources. We use the genetic algorithm to obtain the priority orders of projects. In order to verify this study, we compare the results of this study and the existing schedules of the E-open market in South Korea. This study ultimately reduces project risks, improves efficiency of development and continuity of tasks by properly ordering projects and assigning developers to the projects.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.158-160
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• 2015

Efficient scheduling and resource management are the key factor to reduce construction project budget (e.g., labor cost, equipment cost, material cost, etc.). Resource-based line of balance (LOB) technique has been used to complement the limitations of existing time-driven scheduling techniques (e.g., critical-path method). Optimizing construction alternatives contributes to cost savings while honoring the project deadline. However, existing LOB scheduling is lack of identifying optimal resource combination. This study presents a method which identifies the optimal construction alternatives, hence achieving resource minimization in a repetitive construction by using genetic algorithm (GA). The method provides efficient planning tool that enhances the usability of the system.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.11a
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• pp.369-374
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• 2000

Despite their tilde application of some traditional project management techniques like the Program Evaluation and Review Technique, they lack of learning, one of important factors in many disciplines today due to a static view far prefect progression. This study proposes a framework for estimation by learning based on a Linear Bayesian approach. As a project progresses, we sequentially observe the durations of completed activities. By reflecting this newly available information to update the distribution of remaining activity durations and thus project duration, we can implement a decision support system that updates e.g. the expected project completion time as well as the probabilities of completing the project within talc due date and by a certain date. By Implementing such customized systems, project manager can be aware of changing project status more effectively and better revise resource allocation plans.