• International conference on construction engineering and project management
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• 2015.10a
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• pp.217-220
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• 2015

Because of the recession of the Korean construction market, many construction companies are expediting overseas business. Despite the rapid growth of international markets, the polarization of profit with SMCCs (Small and Medium Construction Companies) and large construction companies in the international construction market has become more serious. This problem causes competition to provide the lowest prices, which makes the future of overseas business for the SMCCs uncertain. Thus, the SMCCs require a reasonable capability evaluation system for overseas business. However, the existing evaluation methods focus on large construction companies. To address this problem, this study proposes a system to evaluate the overseas business capabilities. The 27 indicators to evaluate the overseas business capabilities are derived from a literature review and are verified through expert interviews. The indicators are classified into 4 large categories, and a questionnaire-based survey of 50 Korean SMCCs is conducted to analyze the correlation between overseas business capability and the indicators. The system expects to provide the effect of the indicators on the overseas business capability and the chance to evaluate the capability for overseas business.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.452-458
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• 2005

The Japanese construction industry has faced on lack of quality that is one of the strong confidence fields. It is said that the main reason of this trend is in the case of construction supervisor's defects. But real problems are both the degree of drawing's completion and design activities in construction phase by architect. The purpose of this paper examines that the role of construction supervisor in Japan is changing to the management field and construction conformation, based on the analysis of the WBS based on international comparison among Korea, China, the UK, the US, and Japan.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.749-758
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• 2007

Learning has become an important aspect for any organization to stay relevant and competitive in the corporate world of survival. In construction industry, the international construction joint ventures (ICJVs) provide an excellent platform with opportunity of learning among partners seeking to develop new area of competency and improve their overall competitiveness for their next project endeavor. This paper discusses the development of a conceptual model of effective learning in ICJVs using four major stages of development in a typical joint venture (JV) 's process. The study identified that there are three key constructs that contribute to effective learning comprising learning conditions in the JV's pre-inception stage, success factors of JV for learning in the forming & organizing stage, and learning actions in the implementation & adjustment stage. The effective learning outcomes are measured by the characteristics of learning organization during the JV's completion & evaluation stage. Details and issues of each stage and the methodology of research will be presented and discussed.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.653-661
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• 2007

Overseas construction projects tend to be more complex than domestic projects, being exposed to more external risks, such as politics, economy, society, and culture, as well as more internal risks from the project itself. It is crucial to have an early understanding of the project condition, in order to be well prepared in various phases of the project. This study compares a structural equation model and multiple regression analysis, in their capacity to predict cost performance of international construction projects. The structural equation model shows a more accurate prediction of cost performance than does regression analysis, due to its intrinsic capability of considering various cost factors in a systematic way.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.847-854
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• 2022

The aim of this study is to develop a Named Entity Recognition (NER) model to automatically identify construction-related organizations from news articles. This study collected news articles using web crawling technique and construction-related organizations were labeled within a total of 1,000 news articles. The Bidirectional Encoder Representations from Transformers (BERT) model was used to recognize clients, constructors, consultants, engineers, and others. As a pilot experiment of this study, the best average F1 score of NER was 0.692. The result of this study is expected to contribute to the establishment of international business strategies by collecting timely information and analyzing it automatically.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.57
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• pp.79-108
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• 2013

International transactions of plant and construction project need to time to time for completing the contract. During the performing the contract there may arise many claims and disputes it should be settled rapidly for processing schedule of works. However, arbitration and litigation for settlement of dispute are inappropriate in time and expense under the specifications of plant and construction project. Dispute boards are one of the successful resolution method of dispute prior to litigation or arbitration. If the dispute board was failed, of course, it may be allowed to continue into litigation or arbitration. As the creative methods of parties agreement, dispute boards may be expected to avoid claims and dispute in long and medium international contract. The purpose of this paper is to explore the specification and limitations of dispute boards that may clear disputes under long and medium contract of construction and procurement. It needs to be understand to determine whether is the useful methods for resolving dispute in the international project. This paper considers the specific natures of dispute board and its rules, procedures and problems including ICC and FIDIC for the contract of long and medium transaction.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.534-541
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• 2011

Risk evaluation approaches for bidding on international construction projects are typically partitioned into three stages: country selection, project classification, and bid-cost evaluation. However, previous studies are frequently under attack in that they have several crucial limitations: 1) a dearth of studies about country selection risk tailored for the overseas construction market at a corporate level; 2) no consideration of uncertainties for input variable per se; 3) less probabilistic approaches in estimating a range of cost variance; and 4) less inclusion of covariance impacts. This study thus suggests a three-staged risk evaluation model to resolve these inherent problems. In the first stage, a country portfolio model that maximizes the expected construction market growth rate and profit rate while decreasing market uncertainty is formulated using multi-objective genetic analysis. Following this, probabilistic approaches for screening bad projects are suggested through applying various data mining methods such as discriminant logistic regression, neural network, C5.0, and support vector machine. For the last stage, the cost overrun prediction model is simulated for determining a reasonable bid cost, while considering non-parametric distribution, effects of systematic risks, and the firm's specific capability accrued in a given country. Through the three consecutive models, this study verifies that international construction risk can be allocated, reduced, and projected to some degree, thereby contributing to sustaining stable profits and revenues in both the short-term and the long-term perspective.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.216-222
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• 2020

This research evaluated the construction market and project environment of nine nations within the ASEAN members. Quantitative data from global consulting firms and international organizations were identified and normalized for evaluation. The result of the analysis was that Indonesia was ranked highest for construction market growth while Singapore was ranked highest for stability of project environment. The research results can be utilized by construction companies that are planning on entering the construction market within the ASEAN members.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2014.05a
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• pp.184-185
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• 2014

International construction contracts to Korean construction companies have been dramatically increased over the 48 years (Contract received worth 65.2 billion dollars in 2013). Especially, the plant construction sector has achieved about 61% among the 65.2 billion dollars. Under this trend, in order to ensure plant construction's competitiveness, 'standard classification' is an important area for systematic management. However, these standards in the plant construction are not widely utilized yet, in comparison with civil and building sectors. Therefore, in this research, a higher level of standard classifications is proposed for various types of power plants from a PMO's (Project Management Office) perspective. This study also provides a comparative analysis outlining different features and common components based on various types of power plants.

• Journal of Construction Engineering and Project Management
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• v.4 no.4
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• pp.17-32
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• 2014

In a competitive business environment, like construction, achieving customer satisfaction has been identified as an important element for measuring project's success and sustaining competitive advantage. Traditionally, customers were expelled from the product development process. Little effort was done, in the past to identify the factors that lead to customer satisfaction and hence, use them for product improvement. Organizations that adopted that approach, encountered the risk of losing their customers. In construction, end-users of governmental housing projects were excluded from the design decision making process and accordingly, their requirements were not reflected in design. Although a number national customer satisfaction indices and barometers have been developed worldwide, they have their own limitations and shortcomings. This paper aims to develop an international index for customer satisfaction in the construction Industry. For the first time in construction literature, this research identified, validated and classified 45 drivers for achieving customer satisfaction in the construction industry.