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The Brundtland Commission report has been widely cited in debates about sustainable development (SD), but disagreements still exist about what SD is and the role or importance of ecology are central to the debate. SD is a movement that seeks to address social and economic issues to meet the needs of the entire community through alternative methods of development. The Kyoto Protocol, United Nations Framework Convention on Climate Change (UNFCCC), World Summit on Sustainable Development, and Rio+20 have all been significant initiatives to reduce greenhouse gas (GHG) emissions. This book focused on the development of sustainable infrastructure, which is linked to seven of the recently established Sustainable Development Goals (SDGs). Researchers emphasized the importance of developing an objective definition of SD. The most used definition of SD is proposed in the World Conference on Environment and Development (WCED) report, which emphasizes harmony among the three pillars: social, ecological, and economic. However, Lehtonen (2004) contends that separating the terms ‘social’ and ‘economic’ will isolate economic problems from their larger social context. This SD model recognizes that economic activities must be carried out for the benefit of society and that initiatives affecting humanity’s social context must be completed within ecological bounds. Mebratu (1998) classified SD definitions and origins into three categories: functional, conceptual, and intellectual. Hopwood et al. (2005) demonstrated the many ecological, social, and economic implications of SD. O’Riordan (1988) and Robinson (2004) define sustainability as an integral concept with a strong emphasis on nature. SD is a conservationist approach to natural resource allocation that focuses on technology to address pollution and resource depletion issues. To achieve development, current institutions must be transformed, with an emphasis on meeting people’s wants and interests in a way that is consistent with economic, equitable, and environmental concerns. It is frequently used to describe outdated economic development that disregards the environment. SD is viewed differently by different authors. Mitcham (1995) discovered ‘investigated or creative ambiguity’ in the term, which is a strength, not a flaw. O’Riordan (1988) admitted that the ambiguity surrounding the concept’s definition has sparked debate. Dresner (2008) demonstrated that the confusion surrounding SD does not render it ineffective. The Forum for the Future’s 5-capitals model and the triple bottom line (TBL) model are two examples of SD models that promote SD, but technological and scientific progress has been slow. The definition of SD is ambiguous, with various perspectives and insights from various authors. This section examined the body of knowledge on sustainability and its underlying concepts and principles, with references and a discussion of the TBL.

This paper aims to investigate the impact of relationship quality among team members in the project team on knowledge transfer effectiveness and analyze the role of organizational structure in the influencing process.

The hypotheses are verified by the Structural Equation Modeling (SEM) analysis using Smart PLS 3 software with the data collected from 236 questionnaire samples in Chinese construction industry.

The results indicate that relationship quality has a direct impact on knowledge transfer in project teams and centralization has a negative impact on relationship quality. Moreover, relationship quality plays a mediating role between centralization and knowledge transfer effectiveness and formalization plays a negative moderating role in the effect of relationship quality on knowledge transfer effectiveness.

This paper studies intra-project knowledge transfer from the perspective of relationship quality of project teams and explores the antecedent and moderating role of organizational structure in the influence of relationship quality on knowledge transfer.

A comprehensive literature review of performance management within the Dutch steel processing industry is presented. The purpose of this paper is to analyse the motives for companies to become excellent performers in their field of expertise. These internal and external motives (refined by quantitative analysis of bibliographic data) sought to reveal the common factors that impact company performance.

Inductive reasoning was adopted using an interpretivist philosophical stance to generate new theoretical insight. A mixed-methods analysis of pertinent extant literature afforded greater synthesis of the research problem domain and generated more valid and reliable findings. The software visualisation of similarities viewer was used to conduct a qualitative bibliographic analysis of extant literature to yield greater clarification on the phenomena under investigation.

Four thematic groups of past research endeavours emerged from the analysis and were assigned appropriate nomenclature, namely: industry internal motives; industry external motives; excellent performer and incremental working method. To further expand upon the continuous improvement process (CIP – embodied within performance management), the paper describes the virtuous cycle of improvement, which consists of the consecutive steps of “planning”, “doing”, “checking” and ultimately of “acting” accordingly to the previous steps. It can be concluded that a high-performing company acts according to its mission, plans in line with the vision do as defined in the strategy and checks by reflection.

This unique study provides invaluable insight into the performance management of Dutch steel processing companies. Although the research context was narrowly defined, the findings presented are equally applicable to clients, contractors and sub-contractors active in other sectors of the construction industry. The research concludes by prescribing factors of mitigation strategies to support chief executive officers to focus on the optimum distribution of their scarce resources.

The construction industry is a primary contributor to the development of emerging economies such as the Kurdistan Region of Iraq. However, the sector is underperforming, and products are not meeting expectations. A lack of collaboration is considered a significant contributor to these issues. Various researchers have identified factors to improve collaborative approaches. However, there is still a lack of clear frameworks to help implement collaboration in the construction industry, especially in emerging economies. Therefore, this study aims to develop a framework to implement collaboration in the construction industry.

This article utilises a review of literature, questionnaire and interviews with experts in the construction industry in order to develop a framework to achieve collaboration in construction projects.

The research presents a framework that distributes the factors of collaboration over the project lifecycle stages in accordance with the Royal Institute of British Architects (RIBA) Plan of Work 2007. Each factor is divided into a set of enabling conditions which must be satisfied to ensure that the given specific factors are delivered. Additionally, the framework suggests appointing a collaboration champion at the beginning of the project to manage the process.

The research contributes to scarce literature about collaboration practices in the Kurdistan Region and in emerging economies in general.

It is essential for developed nations to have adequate and functional infrastructure to sustain economic growth and well-being. Despite efforts to reduce the chances of infrastructure problems, several scholars have expressed concern about infrastructure standards deteriorating at an alarming rate and the need to ensure their sustainability. To achieve sustainable infrastructure development (SID), Sahely et al. (2005) proposed an uncomplicated strategy based on fundamental cooperation between infrastructure and ecological, economic, and social frameworks. Sustainable infrastructure is defined as the development and dependable management of a safe built environment based on efficient resource utilization and environmental standards. SID aims to mitigate or eliminate ecological problems and challenges while maximizing the potential social and economic benefits. United Nations Economic and Social Commission for Asia and the Pacific (UN-ESCAP, 2007) defines SID as infrastructure compatible with continued financial and environmental sustainability. Sustainable road development infrastructure (SRID) is a procedure for constructing infrastructure that incorporates all the essential sustainable development (SD) parameters and is complicated by the interdependence of multiple factors. Stakeholders are essential for the successful execution of infrastructure projects, and a comprehensive evaluation of stakeholder interests and requirements is necessary to achieve SRID goals while meeting the needs of all parties involved. To achieve SRID, it is necessary to understand the relationship between road infrastructure development (RID) processes and SD standards and to implement criteria and indicators that accurately depict the long-term viability of a development process. Al Sanad (2015) identified several factors that may impede the implementation of SD in the infrastructure sector. Shafii et al. (2006) identified insufficient knowledge of SID, lack of SID training, a perception of SID as expensive, acquisition concerns, administrative issues, expert capacities, and motivational factors for manufacturing local materials as potential obstacles. Serpell (2013) identified four categories of SID challenges, including knowledge, economic and financial, organizational, and go. Darko and Chan (2016) identified the most prevalent barriers as a lack of data, training, research, information, and expertise, high cost, government interest, premium and demand, and the absence of SID standards of practice. Azis et al. (2012) identified improved project efficiency, waste reduction in the construction industry, and energy efficiency as advantages of SID. Ametepey and Aigbavboa (2014) identified energy savings, environmental protection, contribution to a higher standard of living and a healthy work environment, resource preservation for future generations, reduction in lifecycle costs, promotion of sustainable economic development, and stakeholder satisfaction as the top benefits of sustainable construction (SC). Du Plessis (2007) identified technological factors, Al Sanad (2015) identified educational programmes, Serpell et al. (2013) identified transformation, economic, and stakeholder engagement as drivers of SC, and Hankinson and Breytenbach (2012) identified enhanced SC awareness. This chapter reviewed the literature on international infrastructure and sustainability development, discussing factors, and benefits promoting SID.

This paper discussed quantifying architect, engineer and contractor (AEC) professionals' cross-work culture productivity by comparing between Malaysian and United Kingdom (UK) projects during industrialized building project delivery. This study addressed the second part of a mixed method research design study.

This study hypothesized that with understanding of cultural work knowledge between professionals during design phase coupled with competent technological support, productivity can be improved. It utilized Cognitive Organizational Theory (COT) protocols to test conceptual models in SimVision®. Organizational structure, project intensity, and statistical validations parameters were performed to obtain the reliability and generalization of the result.

This study found that with Building Information Modeling (BIM) technology intervention, the handling of exception, coordination and decision-making time could be improved, resulting in better project performances. The result also indicated that in choosing organizational fit, national culture factor needed to be considered; otherwise, organizational change would be unacceptable. By changing the operational process from intensive to reciprocal task intensity with BIM technology intervention, the effect on productivity would be similar to changing hierarchical organizational structure to flatter organizational structure.

Project discrepancies issues are limitedly discussed due to companies' confidentiality. The paper only focuses on understanding the effects of human factors during the integrated project delivery phase.

The findings could support developing countries' professionals to collaborate effectively with developed countries' professionals.

The development of the project's cultural knowledge experimentations will provide guidance to teams involved in international projects from developed and developing countries in pursuing joint ventures in project deliveries in either country successfully.

Facility management gained profound importance due to the increasing complexity of different systems and the cost of operation and maintenance. However, due to the increasing complexity of different systems, facility managers may suffer from a lack of information. The purpose of this paper is to propose a new facility management approach that links segmented assets to the vital data required for managing facilities.

Automatic point cloud segmentation is one of the most crucial processes required for modelling building facilities. In this research, laser scanning is used for point cloud acquisition. The research utilises region growing algorithm, colour-based region-growing algorithm and Euclidean cluster algorithm.

A case study is worked out to test the accuracy of the considered point cloud segmentation algorithms utilising metrics precision, recall and F-score. The results indicate that Euclidean cluster extraction and region growing algorithm revealed high accuracy for segmentation.

The research presents a comparative approach for selecting the most appropriate segmentation approach required for accurate modelling. As such, the segmented assets can be linked easily with the data required for facility management.

The construction industry is affected by the technologies of Industry 4.0 as the buildings are transforming into complex productions. Integration of innovative technologies, such as virtual reality (VR) and augmented reality (AR), in construction management is an emerging area to increase efficiency and effectiveness. With an aim of determining the current situation, this study evaluates the literature on VR and AR within construction management research.

The methodology of this research is based on descriptive and bibliometric analyses to understand and state the current relations between VR-AR technologies and construction management research. According to the meta-analysis (Preferred Reporting Items for Systematic Reviews and Meta-Analyses [PRISMA]) protocol of reviewing, 143 papers between 2010 and 2021 from Scopus, Web of Science (WoS) and Science Direct have been retrieved, and then analysis has been applied on these papers. Descriptive analysis contains increment of publications throughout the years, rates of papers according to countries and content of the publications. The bibliometric analysis involves the analysis through Excel and VOSviewer: co-occurrence of keywords, country-based, source and citation.

The results of this study emphasize the increasing interest in the adoption of VR-AR technologies in construction management research. As the number of publications has been continuously increased, this trend indicates the strength and growing interest in the topic. Another significant finding is VR-AR implementation studies are mostly based on building information modelling (BIM). In this study, the results of analyses have been discussed in terms of learning, knowledge areas and digital technologies as part of construction management.

This study contributes to providing a significant theoretical reference for the potentials of VR-AR in construction management research. VR-AR technologies mostly attract the interest of researchers from architectural design studies; however, there is a gap to investigate their potentials in terms of construction management. Additionally, this study focuses on the last 11 years, which indicate the latest trends.

This study aims to investigate the dynamic influences of clustered barriers that hinder electronic procurement technology (EPT) implementation in construction procurement, using the neuro-fuzzy system.

A comprehensive literature review was conducted and 21 barriers to EPT implementation within construction projects were identified. Based on an expert survey, 121 datasets were gathered for this study. Using mean and normalization analysis for the datasets, 15 out of the 21 barriers were deemed to have critical influences in EPT barriers phenomenon. Subsequently, the critical barriers were classified into five groups: human-related; technological risk-related; government-related; industry growth-related; and financial-related. The relationships and influence patterns between the groups of barriers to EPT implementation were analyzed using the neuro-fuzzy system. Furthermore, sensitivity analysis was performed to examine the dynamic influence levels of the barriers within the hindrance level composition.

The results reveal that addressing one barrier group does not reduce the high levels of hindrances experienced in EPT implementation. However, addressing at least two barrier groups mostly tends to reduce the hindrance levels for EPT implementation. Further, this study revealed that addressing some barrier group pairings, such as technological risk-related and government-related barriers, while other barrier groups remained at a high level, still resulted in high levels of hindrances to EPT implementation in construction procurement.

This study provides insights for researchers to help them contribute to the development of theory with contemporary approaches based on the influence patterns of barrier interrelationships.

This study provides a model that would help practitioners and decision makers in construction procurement to understand and effectively determine the complex and dynamic influences of barrier groups to EPT uptake, for the development of suitable mitigation strategies.

This study provides novel insights into the complex influence patterns among grouped barriers concerning EPT adoption in the construction industry. Researchers and practitioners are equipped with knowledge on the influence patterns of barriers. This knowledge aids the development of effective strategies that mitigate the combined groups of barriers, and promote the wider implementation of EPT in the construction industry.

The purpose of this research is to develop through a two-stage verification and validation process a novel implementation framework for collaborative BIM, utilising experts from academia and industry as well as a real-world case study project.

The aim of this research was to build upon previous research findings by the authors in order to develop an implementation framework that stems from ousting the inefficiencies of current collaborative BIM practices. This is achieved by a more objectified and quantified approach towards seeking heightened transparency and objectivism of what is required through the implementation of BIM. The mixed research methods technique of both qualitative and quantitative data collection was utilised, with the structure consisting of a two-stage approach utilising the Delphi model for verification and validation. This was developed to test the novelty and beneficial structure hypothesis involving 15 core BIM experts from academia, construction and design with c. 22 years average experience. Validation was undertaken on a complex, high value real world building structures project in central London, inclusive of 8 core project BIM experts. The research utilised a developed solution that mirrored and provided a more holistic representation guiding the practitioners as a project team step by step through the determination of underpinning elements, which support the goal of enhanced information requirements as well as executing the prioritisation measurement tools as part of the framework. Data ascertained at the workshop case study prioritised areas of importance that are core in supporting the delivering of these enhanced information requirements at a project delivery level, which were in order of prioritisation determined by the project team (1) constraints (39.17%), (2) stakeholder requirements (35.78%), (3) coordination (existing asset) (15.86%), (4) exchange requirements (5.38%) and (5) level of information need (3.81%). Furthermore, risk mitigations for the top three priorities were focussed on early stakeholder engagement, appropriation of survey data collection, focus on quality of outputs and applying toolsets and processes with meaning and emphasis on the defined high-level requirements.

Findings show that the framework and the developed solution translate the process methodology of the framework schema into a useable and beneficial tool that provides both qualitative and quantitative inputs and outputs. Furthermore, a collective agreement on the objectives, risk mitigations and assignment of tasks in order to achieve outcomes is presented, with evidence on numerical weightings and goal achievement.

Due to the impacts of COVID-19 on physical engagements both the verification (electronic survey questionnaire) and validation (case study project) were undertaken remotely, using available technologies and web interfaces.

The case study workshop was limited to one building structures project in central London of a value of c. £70 m design and build cost that the project team (participants) were actively engaged with.

The social impacts of this research has resulted in the review of existing systems, methods and approaches from a wider perspective of theoretical and applied environments, which led to the development of a novel approach and framework guided by an interactive and useable solution.

As shown within the core findings, experts across academia and industry (design and construction) confirmed that the framework methodology and application were 100% novel, and added a benefit to the existing collaborative BIM approach. Value added is that through objectifying, weighting/prioritizing and creating a discussion supported by qualitative and quantitative reasoning the focus on what collaborative BIM is to achieve is increased, and thus the likelihood of successful implementation.