Overseas Construction Projects Research Articles

Relative efficiency diagnosis of overseas construction projects by construction type using the DEA model

Relative efficiency diagnosis of overseas construction projects by construction type using the DEA model

Analysis of the Impact of Enterprise Risk Management (ERM) on the Project Success through PRM Process: Focused on the Overseas Construction Projects

Analysis of the Impact of Enterprise Risk Management (ERM) on the Project Success through PRM Process: Focused on the Overseas Construction Projects

Analysis of the Effectiveness of Project Risk Management (PRM) on the Project Success: Focused on the Implementation Phase of Overseas Construction Projects

Analysis of the Effectiveness of Project Risk Management (PRM) on the Project Success: Focused on the Implementation Phase of Overseas Construction Projects

Construction as a Springboard for Industrialisation: Chinese Overseas Construction Projects and Structural Transformation in Angola, Ethiopia and Nigeria

Construction as a Springboard for Industrialisation: Chinese Overseas Construction Projects and Structural Transformation in Angola, Ethiopia and Nigeria

Education of Young Welding Engineers for Overseas Construction Projects

Education of Young Welding Engineers for Overseas Construction Projects

Comparative analysis of managers’ perception in overseas construction project risks and cost overrun in actual cases: a perspective of the Republic of Korea

ABSTRACT As the number of overseas projects increase, capabilities of managers should be comprehended by handling risks. Therefore, comparison of project managers’ risk perception and risk handling costs from actual cases is necessary to set the management direction. Thus, eleven risk factors that occur frequently in overseas construction were classified into three categories . Perception of 54 international construction managers were collected by survey and ranked by using relative importance index. Consequently, managers perceived that the impact of risks occurring due to the wrong plan was high and conflict risk was low. Then, the data from 20 cases were amplified by applying Monte-Carlo simulation with statistical verification of reliability and normality . Through multivariable regression analysis, the cost impact of the legal conflict risks with the local subcontractors and engineers was the highest,intensely differed with managers’ perception. Specifically, the risks involving various stakeholders with sufficient time to resolve were not recognized, despite the high-cost impact. Though, fully understanding perception of the host-clients or site labors was difficult, this study is vital in that the conceptual gap was narrowed by numerically comparing the difference between risk perception of managers and actual risk cost. , It would be used as a guideline by focusing on factors with high impact for educating managers at overseas sites.

Sustainable international competitiveness of regional construction industry: Spatiotemporal evolution and influential factor analysis in China

In the context of increasingly fierce competition in the international construction market and gradually saturated Chinese domestic construction industry, regional construction industries urgently need to develop differentiated strategies to achieve sustainable development of international competitiveness. This research combines sustainability perspective with incremental perspective to propose the concept of sustainable international competitiveness and explores the impact of sustainability on the spatiotemporal evolution and influential factors of international competitiveness based on exploratory spatial data analysis and quantile regression method. Analysing panel statistical data from provincial regions in China, we find that most regions develop overseas construction projects independently, resulting in random distribution of competitiveness nationwide; meanwhile, spatiotemporal differentiation characteristics present geographical expansion of competitiveness decline in aggregation regions as well as robust polarization effect and path-dependent effect in dispersion regions. Additionally, determinant influential factors of sustainable international competitiveness vary with competitiveness increasing. These findings manifest unbalanced sustainability performances in strategy-driven and demand-driven regions resulting from single driving mode of competitiveness; reveal heterogeneous development mode of influential factors with inverted U-shaped effect, marginal effect, and escape-competition effect; and provide policy makers at national, regional, and firm levels with improvement strategies tailored to local conditions in extended industrial chain, integrated contracting mode, and updated strategy deployment; promoting high-quality and sustainable development of overseas construction projects with unified policy planning in the regional construction industry.

Study on Development Risk of Overseas Transportation Infrastructure under the New Form Based on Interpretive Structure Model

With the improvement of China’s comprehensive national strength, more and more construction enterprises began to undertake overseas construction projects. Under the premise of the epidemic situation and the increasingly severe international situation, it is of great significance to study the risk control of overseas transportation infrastructure construction. This paper constructs the risk influencing factor model of overseas transportation infrastructure development risk in the new form from six aspects, that is, decision-making risk, design and planning risk, construction risk, operation risk, government risk, and force majeure, and uses the interpretative structure model and fuzzy comprehensive evaluation method. The key factors affecting the risk of overseas transportation foundation design and development are studied, and the adaptive solutions are put forward.

Big data analysis model for predicting operational risk in overseas construction projects

ABSTRACT In this study, a big data analysis model was developed to predict the risks associated with overseas projects and a big data analysis technique. The risk analysis model can estimate the probability-cost interval for a planned project’s final cost by forming a probability density function and project costs through comparative analysis of data for a planned project and data for a previous similar project. This study attempted to collect a vast amount of information from the web and social networking services (SNS) in order to verify whether this information is sufficient to support the use of the web data analysis method used in this model. To this end, it was assumed that regional traffic conditions would be indicated on the web and SNS. In addition, two regions with different traffic conditions were selected, and then traffic-related keywords and words to enable assessment of traffic conditions were examined. Text information including these words was collected and the proportions of positive and negative words were analyzed. Results confirmed that two regions with different traffic conditions also had different numbers of negative words exhibited on the web.

Study on Post-editing for Machine Translation of Railway Engineering Texts

With rapid development of China's railways, there are more overseas construction projects and technical exchanges in the field of railway engineering, which have generated widespread demands for translation. To meet the increasingly growing demands for translation of railway engineering texts, the mode of machine translation plus post editing (MTPE) has been frequently applied besides traditional human translation (HT) for the combination of translation quality and efficiency. Through the case study of post editing in the machine translation of China's High-Speed Railway by Google Translate, this paper discusses the common error types of machine translation in railway engineering translation, and puts forward corresponding post editing strategies, so as to provide references for MTPE of railway engineering translation in the future. It is hoped that research on post editing in the mode of machine translation for railway engineering texts may improve the translation quality and efficiency, thus helping speed up the process of China's railway going global.

A Comparative Analysis of Risk Impacts on Cost Overrun between Actual Cases and Managers' Perception on Overseas Construction Projects

A Comparative Analysis of Risk Impacts on Cost Overrun between Actual Cases and Managers' Perception on Overseas Construction Projects

Data-Driven Analytics for China’s Overseas Construction Projects in the Contexts of the Maritime Silk Road and Global Maritime Network

The Belt and Road (BR) Initiative (BRI) is usually examined in geopolitics perspectives, while the studies ignored the consistency of the BRI with the world economy and China’s historical international business. This study developed a maritime big data system to analyze global interactions upon the global maritime network generated from the system. The BR is coupled with Chinese overseas construction projects (COCPs) in the context of the global maritime network by data-driven analytics methods. A network is developed by extracting the spatial interactions among maritime ports, and time and spatial analyzing methods are used for vessel flows among maritime ports. Then, nine analytical experiments are conducted to examine the relations between COCP and BRI. The figure of the BR emerges from COCP and the maritime network. The BR region and especially the 21st Century Maritime Silk Road (MSR) had emerged as a definite shape ten years ago. The BRI creates additional opportunities in developing the Silk Road Economic Belt (SREB) and the connectivity between BR and the world. The policy implications considering China, regions, and global communities are further be studied. The BR is investigated by using the big data coupled with the COCP other than just depicting from geographical and economic views.

The impact of relational governance on the adaptability of international contractors: a comparative study between China and Korea

PurposeIn the process of undertaking overseas construction projects, relational governance has become indispensable for project stakeholders. This study examines how relational governance influences contractors' adaptability to foreign situations and whether such associations are positively moderated by international environmental complexity.Design/methodology/approachA crosssectional survey methodology was applied to collect primary data through questionnaires sent to domestic contractors in China and South Korea (hereafter Korea). Multiple regression analysis was used to test the effects of four dimensions of relational governance on contractor adaptability. Thereafter, the Chinese and Korean subsamples were tested separately through moderated regression analysis to explore differences in the influence of relational governance on adaptability.FindingsThe results showed that quality communication, favor exchange and establishing an emotional relationship significantly and positively affected a contractor’s adaptability. However, there were significant differences between the Chinese and Korean international contractors in terms of the moderating effects of international environment complexity.Research limitations/implicationsEast Asian engagement in international development is not limited to China and Korea alone, and the study should be replicated using large representative samples from more countries, such as Japan, to gain a fuller understanding of the influence of relational governance.Originality/valueThe results have great significance for the managers of international contractors in East Asian countries and contribute to the research on relational governance and contractor adaptability.

Application of home-country joint venture (HJV) for international construction contractors

Home-country joint venture (HJV) is one of the strategies contractors can use to venture into the international construction market. In this method, contractors from the same country join to undertake a project in a host country. However, this method is not common among contractors compared with other methods. For instance, among many overseas construction projects executed by Malaysian contractors, less than 1% of projects were completed as HJV. The purpose of this paper is to understand why this method is not common and to determine its potential benefits. For this purpose, qualitative interviews were conducted with experts from Malaysian international contractor companies. The findings highlight the reasons why HJV is not common and the factors that facilitate HJV application among contractors. Factors facilitate the application of HJV include develop strategy for partnering, plan for HJV and risk, select the right partner and others. These factors are categorized into three main project management processes, which are HJV planning, HJV execution and HJV monitoring and control. The findings of this paper can promote the application of joint venture among contractors for successful construction projects and sustainable business in the international market.

Making decision toward overseas construction projects

PurposeThe purpose of this paper is to introduce a decision support aid for deciding an overseas construction project (OCP) using an adaptive neuro fuzzy inference system (ANFIS).Design/methodology/approachThis study presents an ANFIS approach as a decision support aid for assessment of OCPs. The processing data were derived from 110 simulation cases of OCPs. In total, 21 international factors observed from a Delphi survey were determined as assessment variables to examine the cases. The experts were involved to evaluate and judge whether the company should Go or Not Go for an OCP, based on the different parameter scenarios given. To measure the performance of the ANFIS model, root mean square error (RMSE) and coefficient of correlation (R) were employed.FindingsThe result shows that optimum ANFIS model indicating RMSE and R scores adequately near between 0 and 1, respectively, was obtained from parameter set of network algorithm with two input membership functions, Gaussian type of membership function and hybrid optimization method. When the model tested to nine real OCPs data, the result indicates 88.89 percent accurate.Research limitations/implicationsThe use of simulation cases as data set in development the model has several advantages. This technique can be replicated to generate other case scenarios which are not available publicly or limited in terms of quantity.Originality/valueThis study evidences that the developed ANFIS model can predict the decision satisfactorily. Therefore, it can help companies’ management to make preliminary assessment of an OCP.

Dynamic Relationships between Mega Projects and Official Development Assistance: Case of South Korean Infrastructure Construction Projects in ASEAN’s Developing Countries

In developing countries, infrastructure construction projects are sometimes recognized as mega projects that are important for national development. Such projects are usually implemented as official development assistance (ODA). However, the correlation between the size of ODA and the infrastructure construction project orders gained cannot be completely confirmed. South Korea gives constant aid to developing countries and increases the budget of ODA simultaneously in order to select which country’s construction market to advance. The largest portion of South Korea’s aid continues to be provided to Asian countries. This study analyzes the dynamic relationship between South Korea’s ODA to the Association of Southeast Asian Nations (ASEAN) developing countries and the economic fluctuations represented by infrastructure construction projects, gross domestic product (GDP), gross national income (GNI), and foreign direct investment (FDI). The analysis result shows that the scale of ODA is synergistic to the number of infrastructure construction project orders awarded. In other words, as ODA increases, developing countries can continue to construct infrastructure, and South Korean companies can improve their performance in overseas construction projects in cooperation with those countries. The results of this study can be used as basic data for the decision-making of donor countries when selecting a country’s construction market to advance.

Qualitative Analysis of the Occupational Health and Safety Performance of Chinese International Construction Projects

Chinese contractors undertaking international projects are frequently criticized for their poor Occupational Health and Safety (OHS) performance. It is noticed that people with different occupations may perceive OHS differently. From a qualitative perspective, this study investigates the perceived OHS performances of design managers and construction managers engaged in Chinese overseas construction projects, considering a range of subgroups classified by people’s overseas experience, project size, project industry, project location, and firm size. The analysis was based on an e-questionnaire survey that sampled responses from 52 design managers and 160 construction managers involved in 110 international projects, and face-to-face interviews with 26 managers. The findings indicate that the assessment variation of OHS performance between design managers and construction managers is not only related to their different mental ways, but also can be mediated by their in-progress communication and affected by project and organizational conditions. The varying OHS performance in projects with different sizes or from different regions also suggests that Chinese contractors should be more proactive in OHS management instead of passively responding to external requirements.

The Study of Accounting Issues Caused by Conservative Auditing : The Case of Daewoo E&C Overseas Construction Project

The Study of Accounting Issues Caused by Conservative Auditing : The Case of Daewoo E&C Overseas Construction Project

Performance strategies of Malaysian international contractors during boom and recession periods

ABSTRACTThe performance of Malaysian international contractors has been deteriorated due to different factors including fluctuations of the global economy. Previous studies highlighted strategies for international contractors to sustain business such as diversification of product and region, localization, joint ventures and entry time. However, the influence of these strategies on contractors’ performance has not been studied extensively. The purpose of this paper is to identify strategies of the international Malaysian contractors and determine the influence of these strategies on their performance during different periods of economic fluctuations. The data of this study was collected from the records of 452 overseas construction projects completed between 1993 and 2016, which covered five periods of booms and recessions. Based on the regression analysis, the results showed that localization influences contractors’ performance during boom periods. Joint venture with home-country contractors may have a positive impact during both boom and recession periods. Product diversification has a positive influence during one recession period. The findings of this study provide an insight for contractors to make critical decisions pertaining to their long-term survival and growth in the international market.

ANFIS multi criteria decision making for overseas construction projects: a methodology

A critical part when a company targeting a foreign market is how to make a better decision in connection with potential project selection. Since different attributes of information are often incomplete, imprecise and ill-defined in overseas projects selection, the process of decision making by relying on the experiences and intuition is a risky attitude. This paper aims to demonstrate a decision support method in deciding overseas construction projects (OCPs). An Adaptive Neuro-Fuzzy Inference System (ANFIS), the amalgamation of Neural Network and Fuzzy Theory, was used as decision support tool to decide to go or not go on OCPs. Root mean square error (RMSE) and coefficient of correlation (R) were employed to identify the ANFIS system indicating an optimum and efficient result. The optimum result was obtained from ANFIS network with two input membership functions, Gaussian membership function (gaussmf) and hybrid optimization method. The result shows that ANFIS may help the decision-making process for go/not go decision in OCPs.