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Building information modelling (BIM) is increasingly being adopted during construction projects. Design and construction practices are adjusting to the new system. BIM is intended to support the entire project life-cycle: the design and construction phases, and also facility management (FM). However, BIM-enabled FM remains in its infancy and has not yet reached its full potential. The purpose of this paper is to identify major aspects of BIM in order to derive a fully BIM-enabled FM process.

In total, 207 papers were classified into main and subordinate research areas for quantitative analysis. These findings were then used to conceptualise a BIM-enabled FM framework grounded by innovation diffusion theory for adoption, and for determining the path of future research.

Through an extensive literature review, the paper summarises many benefits and challenges. Major aspects of BIM are identified in order to describe a BIM-enabled FM implementation process grounded by innovation diffusion theory. The major research areas of the proposed framework include: planning and guidelines; value realisation; internal leadership and knowledge; procurement; FM; specific application areas; data capture techniques; data integration; knowledge management; and legal and policy impact. Each element is detailed and is supported by literature. Finally, gaps are highlighted for investigation in future research.

This paper systematically classifies and evaluates the existing research, thus contributing to the achievement of the ultimate vision of BIM-enabled FM. The proposed framework informs facility managers, and the BIM-enabled FM implementation process. Further, the holistic survey identifies gaps in the body of knowledge, revealing avenues for future research.

Australia has a huge stock of community buildings built up over decades. Their replacements consume a large sum of money from country’s economy which has called for a strategy for their sustainable management. For this, a comprehensive decision-making structure is an utmost requirement. The purpose of this paper is to capture their sustainable management from four aspects, i.e. environmental, economic, social and functional.

The design process follows an extensive review of environmental and life cycle assessments and company context documents. Extracted factors are tailored to community buildings management following expert consultation. However, the resulted list of factors is extremely large, and “factor analysis” technique is used to group the factors. For this, an industry-wide questionnaire across Australian local councils is employed to solicit opinions of the list of factors.

The analysis has pinpointed 18 key parameters (criteria) to represent all four aspects. This paper presents the preliminary findings of the factors and the analysis results based on the questionnaire responses.

The final decision-making structure incorporates all these aspects and criteria. This can be used to develop a decision-making model which produces a sustainability index for building components. Asset managers can mainly use the sustainability index to prioritise their maintenance activities and eventually, to find out cost-optimisation options for them.

Most notably, this is the first study to apply all four sustainability aspects (environmental, economic, social and functional) to develop a decision-making structure for Australian community buildings’ sustainable management.

Construction workers’ safety compliance is attracting considerable critical attention as it plays a decisive role in improving safety on construction sites. This study applied the concept of differentiating safety compliance into deep compliance (DC) and surface compliance (SC) and relied on trait activation theory to investigate the effects of situational awareness (SA) and emotional intelligence (EI) on safety compliance.

Cross-sectional survey data were collected from 239 construction workers in Australia, and these responses were statistically analyzed using the partial least squares structural equation modeling (PLS-SEM) to validate the proposed model.

Results revealed that both EI and SA positively impacted DC and negatively impacted SC. Moreover, SA partially mediated the link between EI and two types of safety compliance (DC and SC). The outcomes showed that construction workers’ ability in regulating their emotions could influence their perception of environmental cues and the effectiveness of safety compliance behavior.

This study sheds light on investigating the antecedents of DC and SC from the perspective of trait activation theory. The findings also have practical implications, stating that construction site managers or safety professionals should consider providing training on construction workers’ EI and SA to enhance their willingness to expend conscious efforts in complying with safety rules and procedures, which can lead to improved safety outcomes.