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Increased disposal costs and reduction in number of landfills have created a need for implementing effective waste management in the construction industry. As every construction project is unique in its way of development, benefits from the waste management may also differ from project to project and thus project characteristics should be taken into consideration when implementing the strategy. This study seeks to investigate how different project characteristics affect perception on benefits, from construction waste management, based on the survey results from 66 industry experts.

A literature review was conducted to gather information on project characteristics and its classification, construction waste management, waste management plan and its benefits. Subsequently, a set of questions was formulated to gain insight and opinion on the selection of project characteristics and particular benefits of construction waste management. A set of questions pertaining to different project characteristics linked with benefits of waste management was sent to each of the personnel for their views.

The results of this study establishes that the key materials used in projects, project size in terms of total installed costs, and project type have perceptual impacts on benefits from construction waste management.

Understanding how project characteristics will affect the benefits can help the construction industry to identify projects to which the waste management should first be applied, maximizing its benefits.

A quality management system based‐ISO 9001 focuses on confirming process conformance from the initial development of a product through production, test, installation and servicing. Information management has been a key factor affecting the effective implementation of the standard. The aim of this study is to explore management of information flows in quality assurance in project management. It is hoped to that it will be helpful in pursuing continuous quality improvement in the construction industry.

Based on the characteristics of the construction industry, this study designed an organizational structure with three levels, including firm, sub‐firms and project departments. The paper examined the difficulties for the multi‐level organizational structure in information transferring and feedback.

It is found that there are information asymmetries in quality management from internal and external organizations. Internally, information asymmetry exists between contractor, subcontractors and suppliers; and externally, there is no information sharing mechanism between project departments. Information feedback is more difficult than information transferring in a construction firm.

The construction industry has always been bedeviled with great difficulties in sharing information among its participants. Although many construction firms have claimed to be ISO 9000‐certified, there is still missing an effective channel of information flow for quality management.

The paper proposes reengineering current management strategy for establishing an information network for quality management. This study could help construction firms to effectively manage information flow to achieve continuous quality improvement.

The purpose of this paper is to develop a model for the use of mobile computing in the management of on‐site construction information and communication.

The research strategy contains three steps: a pilot study for the first stage, a survey that investigated the information needs of particular users and the nature of on‐site information, and finally the development of a model and the validation and evaluation by operational scenarios.

The developed model explores how mobile computing can be used on construction sites to manage on‐site information. This model, firstly, identifies the key factors of mobile computer, wireless network, mobile application, construction personnel, construction information, and construction site; secondly it describes the relationships and interactions among these factors. Based on the model, the selection process for mobile computing strategy includes the clarification of information management process, the creations of overview for mobile computing solution, the identification of mobile computing strategy, and the selection of appropriate mobile computing technology.

The developed model explores the general concepts and the internal relationships at the two areas of mobile computing and construction site information management. The application of the model can help users to select mobile computing strategies for managing on‐site construction information based on the characteristics of their projects.

The construction industry's application of supply chain management (SCM) principles is confronted with numerous Gordian Knots ranging from late delivery, fragmentation and others. The challenges could be attributed to multiple factors. The most crucial amongst them are adopting management ideas rooted in the second and third industrial revolution without taking consideration of the present industrial revolution. Evidence from literature and practice revealed that we are presently in the fourth industrial revolution (4IR). This chapter calls for developing a model that supports construction supply chain management (CSCM) in tandem with the principles of 4IR. This chapter presents the idea behind the conception, development and benefit of this research book to construction stakeholders and academia. The various shortcomings in the existing model for CSCM were also discussed in this chapter extensively.

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 presented the model for the effective practice of construction supply chain management (CSCM) in the fourth industrial revolution (4IR) era. The model was developed after discovering that the failure of adopting the 4IR component has hindered the synchronisation of construction supply chain (CSC) activities. While some stakeholders are willing to manage their CSC under the 4IR era, most have no clue how to go about it. Most stakeholders are familiar with an existing practice built around collaboration, integration, supply chain structure and trust. This chapter bridges the gap by introducing organisational culture and 4IR components for modelling the CSCM in the 4IR era. The model was backed and grounded with a robust theoretical framework. The theories include social identity theory, change theory and resource-based view theory. It was discovered that the organisational culture adopted by construction stakeholders determines their willingness to embrace the 4IR component for the management of CSC. The 4IR components were divided into smart management, virtualisation and cyber-physical systems. The chapter recommended that the practice of SCM in the Nigerian construction industry should be modelled around the six constructs that were used in developing the model for this study.

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

New generation of construction workers (NGCWs) who were born in the 1980s and later have gradually become the main workforce of Chinese construction industry. They may behave differently when dealing with knowledge-related activities due to divergent characteristics caused by generational discrepancy. To provide a theoretical foundation for construction companies and safety managers to improve safety management, this research explores the factors and paths impacting the NGCWs' ability to share their safety knowledge.

Based on literature review, main factors that influence the safety knowledge sharing of the NGCWs were identified. Decision-Making Trial and Evaluation Laboratory and Interpretive Structural Modeling were applied to identify the hierarchical and contextual relations among the factors influencing the safety knowledge sharing of the NGCWs.

The results showed that sharing atmosphere ranked first in centrality and had a high degree of influence and being influenced, indicating itself an extremely important influencing factor of safety knowledge sharing of NGCWs. Six root influencing factors were identified, including individual characteristics, work pressure, sharing platform, incentive mechanism, leadership support and safety management system.

The number of influencing factors of safety knowledge sharing of the NGCWs identified in this study is limited, and the data obtained by the expert scoring method is subjective. In future studies, the model should be further developed and validated by incorporating experts from different fields to improve its integrity and applicability.

The influencing factors identified in this paper can provide a basis for construction companies and safety managers to improve productivity and safety management by taking relevant measures to promote safety knowledge sharing. The research contributes to the understanding knowledge management in the context of the emerging market. It helps to answer the question of how the market can maintain the economic growth success through effective knowledge management.

This paper investigates the influencing factors of NGCWs' safety knowledge sharing from the perspective of intergenerational differences, and the 13 influencing factor index system established expands the scope of research on factors influencing safety knowledge sharing among construction workers and fills the gap in safety knowledge sharing research on young construction workers. Furthermore, this paper establishes a multi-layer recursive structure model to clarify the influence path of the influencing factors and contributes to the understanding of safety knowledge sharing mechanism.

The idea of implementing supply chain management (SCM) principles for the construction industry was embraced by construction stakeholders to enhance the sector's performance. The analysis from the literature revealed that the implementation of SCM in the construction industry enhances the industry's value in terms of cost-saving, time savings, material management, risk management and others. The construction supply chain (CSC) can be managed using the pull or push system. This chapter also discusses the origin and proliferation of SCM into the construction industry. The chapter revealed that the concept of SCM has passed through five different eras: the creation era, the use of ERP, globalisation stage, specialisation stage and electronic stage. The findings from the literature revealed that we are presently in the fourth industrial revolution (4IR) era. At this stage, the SCM witnesses the adoption of technologies and principles driven by the 4IR. This chapter also revealed that the practice of SCM in the construction industry is centred around integration, collaboration, communication and the structure of the supply chain (SC). The forms and challenges hindering the adoption of these practices were also discussed extensively in this chapter.

The opinion that the spiritual controls the physical gave rise to this chapter. The spiritual in this chapter was regarded as the philosophical and organisational theories controlling the practical aspect of construction supply chain management (CSCM). It was discovered that there is a significant omission in adopting theories to explain supply chain management's (SCM) adaptation and modelling in the construction industry. Therefore, this chapter reviews theories such as resource-based view theory (RBV), principal agency theory (PAT), resource dependency theory (RDT), transaction cost economics theory (TCE) and game theory. Each of the theories was analysed to uncover how they support the practice and variables for modelling the construction supply chain (CSC). The existing models of the CSC were also examined in this chapter. It was found that most models were developed drawing on the frameworks of the global supply chain forum (GSCF) and supply chain operations reference model (SCOR). Owing to the shortcoming of GSCF, this book adopted the framework and principles of SCOR for modelling the management of CSC in the era of the fourth industrial revolution (4IR). Also, most of the existing CSC models, such as the seamless CSCM model, maturity model and others, were developed using the SCOR framework.