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Labour productivity of Vietnamese economy in general and of Vietnamese construction industry in particular is low in comparison with other countries. Boosting labour productivity is becoming an urgency and is attracting much attention from both domestic and foreign researchers. This paper focuses on a series of factors affecting labour productivity on construction site in Hanoi. The research aims to evaluate and rate the extent of impact of each factor to labour productivity. By referring to the outcomes of this study, Vietnamese construction contractors will be able to come up with workable solutions which will contribute towards a better performance of construction workers. On that basis, the productivity of construction firms and national economy will be improved correspondingly. Keywords: productivity; labour productivity; factors affecting; construction worker.

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Background: In the rapidly-developed construction industry, labor productivity has improved to a great extent, still, it is low compared with many other industries. The enhancement of labor productivity has become important that attracts much attention and focus from researchers in Vietnam and around the world. Aim: This paper focuses on key factors affecting labor productivity of construction sites in Vietnam by introducing a regression model to evaluate the extent of each factor’s impact on the labor productivity of construction workers. Methods: Ten groups of impacting factors were identified as factors relevant to construction worker, factors relevant to site operation and management, factors relevant to motivation, factors relevant to working time, factors relevant to labor working tools, factors relevant to labor working conditions, factors relevant to working safety, factors relevant to project informations, factors relevant to natural environment, and factors relevant to socio-economic conditions. Results: By referring to research results, Vietnamese construction contractors will be able to come up with workable solutions towards a better performance of construction workers. Conclusion: On that basis, the productivity of construction firms and the workers will be improved correspondingly.

BIM exhibits strong potential to become a core technological advancement adopted in construction projects. However, the process of BIM implementation is being affected by various factors depending on specific circumstances. This study aims to identify global factors influencing BIM adoption in construction projects. By a comprehensive review of the previous literature, this study managed 39 critical factors impacting construction labor productivity, which were categorized as primary 5 groups, namely, human, management, technology, project, and external. A total of 159 valid samples were collected by respondents who completed a questionnaire survey according to their previous direct or indirect participation in the implementation of construction projects. These factors were ranked based on their Relative Important Index (RII) and descriptive statistics. The findings indicated that the most significant factors affecting BIM adoption in construction project implementation consist of (1) "perceived usefulness," (2) "speed of BIM tools," (3) "perceived benefits of BIM for organization," (4) "technology quality," and (5) "experience and skills".

PurposeThis study aims to investigate the impact of primary building information modelling (BIM)-related factors, extracted from the literature on the subject, on construction project performance.Design/methodology/approachBased on data collected from 134 BIM users, this study used structural equation modelling to assess the impact of these factors in five main BIM-related factor clusters.FindingsThe results of the analysis confirmed the reliability and validity of the research design and outcomes. The findings indicated that the BIM-related external factors cluster is the most influential cluster affecting construction project performance. BIM-related project factors and BIM-related technological factors also had a significant impact on project performance. These were followed by the BIM-related management factors cluster, while the BIM-related human factors cluster had a low impact on project performance.Research limitations/implicationsThis study will contribute to fostering BIM adoption and implementation in the construction industry in developing countries.Originality/valueThis study has filled a crucial knowledge gap by providing information on manageable primary BIM-related factors affecting construction project performance.

The success or failure of a Public-Private Partnership (PPP) project depends on various factors. This study aims to identify and assess critical success factors (CSFs) for PPP infrastructure project implementation. By a comprehensive review of prior studies, this study managed six primary categories extracting from 42 CSFs, such as public sector cluster (8 factors), private sector cluster (11 factors), procurement process cluster (7 factors), risk management (4 factors), project information (10 factors), and external cluster (2 factors). A theoretical structural equation model was formulated to signify the impacts of these clusters for PPP infrastructure project implementation. The necessary data was collected through an investigation with 216 PPP infrastructure professionals and practitioners. The findings indicated that the clusters of private sector, project information, and procurement process were the most influential affecting the success of the implementation of PPP infrastructure projects. By adopting the recommended strategies, public sector, private sector, and stakeholders participating in a PPP infrastructure project will be in better understand the success factors for these projects. As a result, this can improve project implementation efficiency in order to achieve the project's objectives.

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