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This paper aims to present the result of a scientometric analysis conducted using studies on high-performance computing in computational modelling. This was done with a view to showcasing the need for high-performance computers (HPC) within the architecture, engineering and construction (AEC) industry in developing countries, particularly in Africa, where the use of HPC in developing computational models (CMs) for effective problem solving is still low.

An interpretivism philosophical stance was adopted for the study which informed a scientometric review of existing studies gathered from the Scopus database. Keywords such as high-performance computing, and computational modelling were used to extract papers from the database. Visualisation of Similarities viewer (VOSviewer) was used to prepare co-occurrence maps based on the bibliographic data gathered.

Findings revealed the scarcity of research emanating from Africa in this area of study. Furthermore, past studies had placed focus on high-performance computing in the development of computational modelling and theory, parallel computing and improved visualisation, large-scale application software, computer simulations and computational mathematical modelling. Future studies can also explore areas such as cloud computing, optimisation, high-level programming language, natural science computing, computer graphics equipment and Graphics Processing Units as they relate to the AEC industry.

The study assessed a single database for the search of related studies.

The findings of this study serve as an excellent theoretical background for AEC researchers seeking to explore the use of HPC for CMs development in the quest for solving complex problems in the industry.

The importance of robotics and automation (R&A) in delivering a safe built environment cannot be overemphasised. This is because R&A systems can execute a hazardous job function that the construction workforce may not execute. Based on this knowledge, this study aims to present the result of an assessment of the impediments to the deployment of R&A for a safe and healthy construction environment.

This study adopted a post-positivist philosophical stance, using a quantitative research approach and a questionnaire administered to construction professionals in South Africa. The data gathered were analysed using frequency, percentage, mean item score, Kruskal–Wallis H-test, exploratory factor analysis and partial least square structural equation modelling (SEM).

This study revealed that the impediments to the deployment of R&A could be grouped into: industry, technology, human and cost-related factors. However, SEM assessment showed that only the industry, human and cost-related factors would significantly impact attaining specific health and safety-related outcomes.

The findings offer valuable benefits to construction organisations as the careful understanding of the identified impeding factors can help lead to better deployment of R&A and the attainment of its inherent safety benefits.

This study attempts to fill the gap in the shortage of literature exploring the deployment of R&A for a safe construction environment, particularly in developing countries like South Africa, where such studies are non-existent. This paper, therefore, offers a theoretical backdrop for future works on R&A deployment, particularly in developing countries where such a study has not been explored.

Considering the need for standard and cost-effective housing delivery in South Africa, this study aims to make a case for three-dimensional (3D) printing in housing delivery through an assessment of the inherent benefits and the factors that could acts as barriers to its adoption.

The study used a survey of construction professionals currently actively involved in a construction project in the country. Analysis of data gathered was done using a four-step analysis approach and relevant descriptive and inferential statistics were adopted.

The study revealed through factor analysis that 3D printing in housing delivery promises better cost delivery, increased productivity and stakeholder satisfaction, socio-economic benefits, improved quality and faster housing delivery. While these benefits exist, factors such as technical and operational issues of the 3D printing itself, organizational and personnel issues as well as lack of awareness of the inherent benefits and understanding of the technology among stakeholders can prove to be barriers to the adoption of the technology.

In the quest to achieve standard and affordable housing which is part of its National Development Plan 2030, the government can adopt 3D printing which promises significant benefits in terms of cost, time, quality, productivity and stakeholders’ satisfaction. Property developers can also adopt the technology to improve their housing delivery, competitive advantage and the economic value of their properties.

The study contributes significantly to the body of knowledge as it reveals the benefits and barriers of adopting 3D printing in housing delivery in South Africa – an aspect that has not gained significant attention in the fourth industrial revolution and housing delivery discuss in the country.

The South African construction industry (SACI) is a huge employer of labour as the industry depends mostly on human resources to carry out its activities. However, the industry has also been noted for its poor workforce management and lack of attention to human resource management (HRM) issues. Therefore, this study aims to assess the challenges facing the effective management of the construction workforce in South Africa with a view to improving HRM activities in the industry and improve overall service delivery through an effectively managed workforce.

A pragmatic philosophical view using a mixed-method research design was adopted. The study’s qualitative strand was achieved through a Delphi, whilst the quantitative strand was achieved through a questionnaire survey. In addition, descriptive and inferential statistics such as mean item score, Kruskal-Wallis H-test, exploratory and confirmatory factor analysis were adopted for data analysis.

With high reliability, construct validity and model fit indices, the study found that for effective HRM to be attained within construction organisations, careful attention must be given to issues surrounding the nature of the industry, unhealthy working environment, employee-related issues, diversity and working condition in the industry.

Whilst several studies have been conducted on HRM, there is a lack of studies on the major challenges facing effective HRM in the SACI. The findings also offer future research studies a good theoretical platform to build upon.