There is a paucity of literature that examines building information modelling (BIM) for asset management within the architecture, engineering, construction and owner-operated (AECO) sector. This paper therefore presents a thorough review of published literature on the latest research and standards development that impact upon BIM and its application in facilities management (FM) during the operations and maintenance (O&M) phase of building usage. The purpose is to generate new ideas and provide polemic clarity geared to intellectually challenge readers from across a range of academic and industrial disciplines. The findings reveal that significant challenges facing the FM sector include the need for: greater consideration of longterm strategic aspirations; amelioration of data integration/ interoperability issues; augmented knowledge management; enhanced performance measurement; and enriched training and competence development for facilities managers to better deal with the amorphous range of services covered by FM. Future work is also proposed in several key areas and includes: case studies to observe and report upon current practice and development; and supplementary research related to concepts of knowledge capture in relation to FM and the growing use of BIM for asset management.

The analytic hierarchy process (AHP) has gained increasing attention in construction management (CM) domain as a technique to analyze 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.

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PurposeIndustry 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/approachA 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.FindingsFindings 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/valueResearch 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.

Although building information modelling (BIM) is ubiquitous within the construction industry, a review analysis on critical success factors (CSFs) used to measure successful BIM implementation is not well established. This research conducts a comprehensive review and interpretivist study of published studies on CSFs for BIM implementation during the period 2005 to 2015. Analysis reveals that some countries (e.g. USA, UK and South Korea) have developed clear CSFs for measuring successful BIM implementation, although each country implements a different sets of CSFs, some universal CSFs are shared between these countries, namely: collaboration in design, engineering, and construction stakeholders; earlier and accurate 3D visualisation of design; coordination and planning of construction works; enhancing exchange of information and knowledge management; and improved site layout planning and site safety. These common factors provide a core basis for establishing a standard evaluation model for measuring the success of BIM implementation and serve to identify areas for further improvement. A checklist of CSFs for BIM implementation is developed, and could render new insight for researchers and practitioners to conduct further empirical studies.