Search results

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.

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.

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.

The current era of the fourth industrial revolution has attracted significant research on the use of digital technologies in improving construction project delivery. However, less emphasis has been placed on how these digital tools will influence the management of the construction workforce. To this end, using a review of existing works, this chapter explores the fourth industrial revolution and its associated technologies that can positively impact the management of the construction workforce when implemented. Also, the possible challenges that might truncate the successful deployment of digital technologies for effective workforce management were explored. The chapter submitted that implementing workforce management-specific digital platforms and other digital technologies designed for project delivery can aid effective workforce management within construction organisations. Technologies such as cloud computing, the Internet of Things, big data analytics, robotics and automation, and artificial intelligence, among others, offer significant benefits to the effective workforce management of construction organisations. However, several challenges, such as resistance to change due to fear of job loss, cost of investment in digital tools, organisational structure and culture, must be carefully considered as they might affect the successful use of digital tools and by extension, impact the success of workforce management in the organisations.

In the quest for better construction workforce management, this chapter explored the background of workforce management and related theories, models, and practices. Through a review, the chapter provided meaning to the concept of construction and workforce management. The chapter concluded that while the construction industry worldwide is important to the economic growth of the countries where it operates, the industry’s management of its workforce is challenged by several problems. These problems include the nature of the industry, skill shortage, unhealthy working environment, and poor image of the industry, among others. Also, while the construction industry is rich in diversity, this has been a major source of problems for workforce management. The chapter further revealed that to improve workforce management and attain better-performing construction organisations, careful recruitment, effective training, providing a safe working environment, putting policies to promote diversity, and ensuring innovativeness, among others, are essential.

This chapter gives the conclusion of the book. The chapter draws from the discussion from previous chapters to make logical conclusions and recommendations. The chapter concludes that construction industries are failing to imbibe workforce management practices, resulting in high employee turnover, dissatisfaction among existing workers and ultimately, low productivity of workers and organisations. It was also noted that the fourth industrial revolution offers emerging technologies that, when adopted within construction organisations, can help improve how organisations deliver their projects and manage their workers. Therefore, implementing a construction workforce management model that recognises the impact of digital tools is crucial for organisations seeking to get the optimum productivity out of their workers. Thus, this book’s conceptualised construction workforce management model can be a valuable tool for construction organisations. Also, more credibility is given to the model’s structure by exploring the conceptualised model through experts’ opinions.

This book aimed to conceptualise a construction workforce management model suitable for effectively managing workers in construction organisations. To this end, this chapter presents the conceptualised model, which consists of seven workforce management practices with their respective measurement variables. Drawing from existing theories, models, and practices, the chapter concludes that a construction organisation that will attain its strategic objectives in the current fourth industrial revolution era must be willing to promote effective recruitment and selection, compensation and benefits, performance management and appraisal, employee involvement and empowerment, training and development, as well as improving workers emotional intelligence and handling external environment pressure. These practices can promote proactiveness, participation, and improved skills and can lead to effective commitment, better quality, and flexibility within the organisation.

This first chapter provides a general overview of the book. The chapter describes workforce management and the lack of adequate attention to this concept within construction organisations. In the fourth industrial revolution era, where emerging technologies have continued to change how business functions, the need for an effective approach towards managing the construction workforce becomes crucial. Having a construction workforce management practice model was deemed vital at this point, where technological advancement is rapidly changing the construction environment, and skill shortage is evident in the construction industry of most countries around the world. As such, this chapter establishes that the development of a construction workforce management model that will help improve the management of construction workers serves a critical value of the book.

The importance of humans to the successful delivery of construction projects has led to the emergence of research attention on construction workforce management. As such, this chapter uncovers emotional intelligence (EI) and the external environment as critical aspects of workforce management practices that have not gained substantial attention in past workforce management studies. While some theories and models (existing outside the construction domain) have considered the external environment, none of these models is specific to the construction industry. Furthermore, EI has received less attention within existing workforce management models. Through a review of related studies and theories, this chapter noted that the EI of construction workers and their senior management is crucial to the performance of these workers and the ultimate performance of their organisations. In the same vein, since construction organisations do not operate in silos, the external environment significantly influences the operations of organisations in the construction industry. The environment exact pressures that can influence workforce management practices and technological innovations construction organisations adopt.