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This study aims to identify key knowledge enabling factors (KEFs) which can enable construction companies to improve various organizational effectiveness outcomes (OEOs).

Using a questionnaire, data are collected from construction companies in Vietnam. Mean score method is used to calculate the mean values of KEFs. In addition, regression analysis is used to identify KEFs which significantly affect OEOs.

A list of 32 KEFs, whose ranking orders of importance are provided according to different types of construction companies, is presented. In addition, different lists of specific KEFs which could significantly affect different OEOs are identified. Furthermore, seven key KEFs which could have a significant impact on many OEOs are highlighted.

The findings of this study could help construction companies to know the controllable KEFs, on which they should focus more. Hence, they could perform these KEFs properly to improve various aspects of organizational effectiveness.

This study identifies 32 KEFs and 10 OEOs specifically for knowledge management in construction companies. This study also provides construction companies with a better understanding of the impact of KEFs on various aspects of organizational effectiveness. Hence, they could develop effective KEFs-based management strategies to enhance various aspects of organizational effectiveness.

The purpose of this paper is to identify risk patterns of road and bridge projects in Vietnam, where the construction market is emerging but attractive to construction organizations, especially foreign companies.

Using a questionnaire, experienced practitioners of various contractors were interviewed to collect risk-related data in terms of actual likelihood and impact from road and bridge construction projects in Vietnam. Using the collected data of actual likelihood and impact, the specific probability and impact of risk factors were determined for different types of road and bridge projects, including small and medium type, big type, government-funding type, and other-funding type (e.g. official development assistance funds, public-private partnership).

The results of analysis indicate the specific probability and impact of risk factors in four risk themes, including contractor-related, project-related, owner-related, and external risks. Actual risk patterns for different types of road and bridge projects in Vietnam were identified.

The identification of actual risk patterns could help practitioners to know which risk factors are severe in frequency and/or impact. Hence, they could establish proper strategies to manage risk-related problems of road and bridge projects, in which they are directly involved.

The findings of this study could provide construction companies, especially foreign companies, with a better understanding of real risk panorama in Vietnamese road and bridge construction. Hence, they could make effective improvements on risk management of road and bridge projects in Vietnam.

This study aims to develop a strategic framework for the success of coastal urban projects in Vietnam, which is one of the Asia Pacific countries significantly affected by climate change.

A questionnaire was used to collect data from practitioners in Vietnam. Principal component analysis (PCA) technique was used to identify critical success factors (CSFs) of coastal urban projects. A strategy map for the success of coastal urban projects was also proposed using the balanced scorecard (BSC) method.

This study identified 41 project success factors that could contribute to project success, and thence, extracted 11 CSFs for coastal urban projects using the PCA technique. In addition, 11 key performance indicators (KPIs) for coastal urban projects were listed and their linking with project success factors and CSFs was explored. Furthermore, a strategy map for the success of coastal urban projects was proposed using the BSC method. The strategy map included five perspectives: learning and growth, internal processes, social and environmental performance, financial performance, and stakeholders' satisfaction.

This study identified 11 CSFs for coastal urban projects and proposed a strategy map for the success of coastal urban projects.

This study aims to empirically investigate the impact of barriers (i.e. organizational and industrial barriers, corporate social responsibility (CSR) characteristics) on CSR practices and the roles of education and government support in mitigating these barriers. In addition, the positive effect of CSR practices on social sustainability performance (SSP) is examined.

A framework of hypotheses between barriers, CSR practices and SSP is established. Using a survey questionnaire, empirical data are collected from 17 construction firms in Vietnam. PLS-SEM is used to test the proposed hypotheses.

The results indicate that organizational and industrial barriers negatively affect CSR practices. This study also finds that education and training and government support could enable construction firms to reduce the impact of such barriers.

The data are collected in Vietnam; thereby the findings are only applicable in developing countries. Further research should also be conducted in other countries to improve the generalizability of the theoretical framework.

The findings of this study suggest that construction firms could apply several strategies (e.g. providing their employees with CSR training and education; embedding CSR into their firm policy, mission and vision) to mitigate the impact of CSR barriers and, accordingly, ensure the success of adopting CSR practices.

This study is one of the first efforts in the construction industry that empirically investigates the impact of barriers on CSR practices and the moderating effects of training and education as well as government support.

This study aims to examine the impact of transformational leadership on green innovation and green learning in construction supply chains.

A theoretical framework of research hypotheses between transformational leadership, green learning and green innovation is developed. Using a survey questionnaire, data are collected from construction firms in Vietnam. Structural equation modeling is used to test the research hypotheses.

The results indicate that transformational leadership promotes both green learning and green innovation (i.e. green product innovation and green process innovation) while green learning positively affects green process innovation. Furthermore, it is found that green learning mediates the linkage between transformational leadership and green process innovation.

This study contributes to the development of leadership research in construction by showing the significance of leadership at the supply chain level.

Leadership is regarded as a key factor for most organizations' success and competitive advantages. In construction, leadership has been widely studied at the project and organizational levels while its important role is also explored at the supply chain level. Nevertheless, in terms of construction supply chains, there has been still very limited evidence about the effects of transformational leadership. Thus, this study fills the gap in knowledge by empirically examining the relationships between transformational leadership, green learning and green innovation.

This study aims to assess the importance of transformational leadership competencies, as well as supply chain learning, to green innovation in construction at the supply chain level.

A questionnaire survey is conducted to collect data from construction firms in Vietnam. Many statistical analysis methods – including the Shapiro-Wilk test, one-sample Wilcoxon signed-rank test and Kruskal-Wallis test – are performed to achieve the research objectives.

The results indicate that the importance of most transformational leadership competencies is similarly perceived among different role groups (i.e. directors/deputy directors, project managers, consultants, quantity surveyors and designers).

This study enriches the understanding of leadership research in construction at the supply chain level and also develops a theoretical framework for theory testing research, where the relationships of transformational leadership competencies and supply chain learning with green innovation are highlighted.

Research on leadership in the green supply chain context is still limited, especially in the construction industry. Thus, this study is conducted to fill this gap of research.

The purpose of this paper is to predict implementation cost contingencies for residential construction projects in flood-prone areas, where floods with storms frequently cause serious damage and problems for people.

Expert interviews are conducted to identify the study variables. Based on bills of quantities and project documents, historical data on residential construction projects in flood-prone areas are collected. Pearson correlation analysis is first used to check the correlations among the study variables. To overcome multicollinearity, principal component analysis is used. Then, stepwise multiple regression analysis is used to develop the cost prediction model. Finally, non-parametric bootstrap method is used to develop range estimation of the implementation cost.

A list of project-related variables, which could significantly affect implementation costs of residential construction projects in flood-prone areas, is identified. A model, which is developed based on an integration of principle component analysis and regression analysis, is robust. Regarding range estimation, 10, 50 and 90 percent cost estimates, which could provide information about the uncertainty levels in the estimates, are established. Furthermore, implementation cost contingencies which could show information about the variability in the estimates are determined for example case projects. Such information could be critical to cost-related management of residential construction projects in flood-prone areas.

This study attempts to predict implementation cost contingencies for residential construction projects in flood-prone areas using non-parametric bootstrap method. Such contingencies could be useful for project cost budgeting and/or effective cost management.

This study aims to discover the impact of failure factors on stakeholder coordination performance (SCP) in the finishing phase of high-rise building projects.

Firstly, this study identifies potential failure factors affecting coordination performance as well as criteria for measuring SCP in the finishing phase of high-rise building projects. Afterwards, a survey questionnaire is designed to collect data from high-rise building projects in Vietnam. Using the factor analysis method, the study discovers the failure constructs. A structural equation model is then built to uncover the relationships between failure constructs and SCP.

The study identified four failure constructs which could significantly affect SCP, namely traditional adversarial relationship (TAR), incompetent parties (IP), poor project planning and organization (PPO) and delays of parties toward construction works (DP). The developed model indicated that TAR, PPO and IP significantly affected stakeholders' coordination performance in the finishing phase of high-rise building projects.

The results of the study fill the gap in knowledge by discovering the causal relationships between failure constructs and SCP in high-rise building projects. The results might provide an initial guideline for stakeholders during the finishing phase of high-rise building projects to enhance their coordination performance.

The purpose of this paper is to develop several predictive models for estimating the structural construction cost and establish range estimation for the structural construction cost using design information available in early stages of residential building projects.

Information about residential building projects is collected based on project documents from construction companies with regard to the design parameters and the actual structural construction costs at completion. Storey enclosure method (SEM) is fundamental for determining the building design parameters, forming the potential variables and developing the cost estimation models using regression analysis. Nonparametric bootstrap method is used to establish range estimation for the structural construction cost.

A model which is developed from an integration of advanced SEM, principle component analysis and regression analysis is robust in terms of predictability. In terms of range estimation, cumulative probability-based range estimates and confidence intervals are established. While cumulative probability-based range estimates provide information about the level of uncertainty included in the estimate, confidence intervals provide information about the variability of the estimate. Such information could be very crucial for management decisions in early stages of residential building projects.

This study could provide practitioners with a better understanding of the uncertainty and variability included in the cost estimate. Hence, they could make effective improvements on cost-related management approaches to enhance project cost performance.

This study aims to relate knowledge creation factors (KCFs) to construction organizations’ effectiveness, which can be measured by different effectiveness outcomes (EOs).

Data with regard to KCFs and EOs are collected from construction organizations in Vietnam using a survey questionnaire. Regression analysis is used to relate KCFs to EOs.

Various lists of specific KCFs that may significantly affect EOs are identified. Furthermore, several key KCFs that could play a vital role in enhancing different EOs are highlighted.

Owing to the use of data collected from construction organizations in Vietnam, the results of this study cannot be directly applied to other types of organization in other countries without using any other extra data.

Based on the results of relating KCFs to different EOs, construction organizations would know which specific KCFs are vital to their organizational effectiveness. Hence, they may enhance different organizational effectiveness aspects by focusing more on such KCFs.

In this study, 16 KCFs and 10 EOs which may be useful for organization-level knowledge management practices in construction are introduced. Furthermore, the specific controllable KCFs vital to different EOs are identified. Hence, construction organizations would establish KCFs-based strategies for their management activities to improve various organizational effectiveness aspects.