The analytic hierarchy process (AHP) has gained increasing attention in construction management (CM) domain as a technique to analyse complex situations and make sound decisions. However, AHP per se or its potential applications on CM problems are ill-defined within extant literature. The present paper reviews 77 AHP-based papers published in eight selected peer-reviewed CM journals from 2004 to 2014 to better define and delineate AHP application areas and decision-making problems solved within CM. The findings indicated that risk management and sustainable construction were the most popular AHP application areas in CM. It was also revealed that AHP (1) is flexible and can be used as a stand-alone tool or in conjunction with other tools to resolve construction decision-making problems; and (2) is widely used in Asia. In addition, the most prominent justifications for using AHP were found to be small sample size, high level of consistency, simplicity and availability of user-friendly software. This paper provides a useful reference for researchers and practitioners interested in the application of AHP in CM. Future research is needed to compare and contrast between AHP and other multicriteria decision-making methods; such work could reveal which techniques provide optimized solutions under various decision-making scenarios.

Purpose: Industry 4.0 is predicted to be a game-changer, revolutionizing commercial and manufacturing practices through improved knowledge utilization and efficiencies. The barriers however, are significant, and the construction industry remains notoriously slow to take up innovations. This study reviews the research work in Industry 4.0 as it relates to construction, and examines a leading UK-based construction firm to ascertain the prognosis for Industry 4.0 roll-out in terms of the impediments and opportunities.Design/methodology/approach: A multistage mixed philosophies and methods approach was adopted for this study. First, an interpretivist epistemological lens was used to synthesise extant literature as a means of contextualizing the present study. Second, an empirical case study using a post-positivist stance and inductive reasoning was conducted to explore practitioner acceptance of Industry 4.0 in the UK construction context.Findings: Findings from the literature review indicate studies in Industry 4.0 to be a relatively new phenomenon, with developed countries and Germany in particular leading in the field. The range of opportunities are many, but so too are the barriers to enablement. Findings from the case study provide real-world corroboration of the review; practitioners are sanguine about Industry 4.0's potential to reinvigorate the construction industry, but also note that implementation remains curtailed by residual managerial practices dependent on ‘human interaction’. At present, much of the focus of industry practitioners is on the implementation of building information modelling (BIM), often at the expense of other more advanced technologies within Industry 4.0.Originality/value: Research in Industry 4.0 is limited, with the emphasis being on technology application. This paper, by contrast, maps the totality of work carried out so far and presents an assessment of Industry 4.0's progression, potential and degree of uptake within the UK construction industry.

Purpose: The Internet of Things (IoT) provides exciting opportunities for the construction industry to solve its time and resource constraints and frequent defaults. This study seeks to identify and rank the perceived importance level of principal research areas associated with the IoT and the construction industry by utilising a scientific mapping tool (i.e. VOSviewer). Such knowledge would enable key drivers for successful adoption of the IoT and digitisation technologies to be outlined. An analysis of key drivers and research trends that facilitates the development of a roadmap for applying the IoT and digital technologies in the construction sector is therefore much needed.Design/methodology/approach: An interpretivist philosophical lens was adopted to analyse published work as secondary data, where each publication represented a unit of analysis. A total of 417 peer-reviewed journal review articles covering the IoT within the construction domain were systematically reviewed using a mixed-methods approach, utilising qualitative-scientometric analyses techniques.Findings: The results revealed a field of study in a fledgling stage, with a limited number of experts operating somewhat in isolation and offering single-point solutions instead of taking an integrated “holistic” approach. Key publication outlets were identified and the main focus of research undertaken being in the technical areas of smart buildings, smart construction objects and environmental sustainability. The major effects of adopting the IoT within the construction industry were identified as high-speed reporting, complete process control, data explosion leading to deep data analytics, strict ethical and legal expectations. Key drivers of the IoT adoption were outlined: interoperability; data privacy and security; flexible governance structures; proper business planning and models.Practical implications: The study benefits researchers and industry practitioners alike. For researchers, the identified gaps reveal areas of high priority in future research. For construction companies, particularly small to medium-sized businesses, the study raises awareness of the latest developments and potential applicability of the IoT in the industry. For government agencies and policymakers, this study offers a point of reference in directing the adoption of the IoT smoothly in the construction sector and provides guidelines and standards for maximising the potential benefits.Originality/value: The study is the first scientometric review of the existing body of knowledge in the context of application of the IoT in the construction industry. Findings expose knowledge gaps in contemporary research, specifically, a broader consideration of organisational adjustments needed to accommodate the IoT usage, economic analyses and impediments to wider acceptance.

Technologies such as virtual reality (VR), online databases, Geographic Information Systems (GIS), Building Information Modelling (BIM), Unmanned Aerial Vehicle (UAV), 4 D Computer-Aided Design (4 D CAD), wearable robotics have been adopted to improve construction site health and safety. However, little attempt has been made to map global research on construction health and safety technologies. Therefore, this paper conducts a review of technologies for construction health and safety management to reveal emerging research trends. A bibliometric review adopting a two-step literature selection method was conducted to compile relevant publications from the Scopus database. In total, 240 related papers were examined. VOSviewer was used to develop a co-occurrence network based on the bibliographic data obtained. The analysis focussed on co-authorship per country, country/region distribution, the number of publications annually, publication source and source and trend of research topics. Findings revealed that emerging trends in construction health and safety technologies research focussed on project health and safety design and planning, visualisation and image processing for construction projects, digital technologies for project monitoring, information management and Internet of Things, automation and robotic systems, health and safety and accident prevention and structure evaluation.

Construction professionals are subjected to a plethora of occupational demands that can have a negative effect on their psychological wellbeing. Such demands can have an adverse influence on individual and organizational performance. To investigate the nature of self and social supports and mental health among construction professionals, an exploratory study was undertaken using the Stress and Mental Health Survey. The survey was distributed to construction professionals throughout Australia and 449 responses were received. Analysis revealed that those working for a contracting organization on-site reported higher levels of poor mental health and greater work stress than consultants. Those working on-site also experienced greater levels of self-stress, whereas consultants reported higher levels of self and work support. Work support was a significant predictor of poor mental health for consultants. Good health, however, was predicted by self, situational, and work support, whereas those working for a cont...