Building Information Modelling (BIM) is a digitalised technology under a collaborative working platform. Certain aspects of sustainability have been highlighted in recent BIM studies; however, no prior in-depth review has focused on BIM standards or guidelines and its uses for sustainability. This paper provides a mixed review to determine the current stateof-the-art BIM development for sustainability. A systematic review approach was adopted to analyse two main sources of literature, namely, BIM standards and guidelines; and peerreviewed academic publications. The result reveals that although there has been a significant amount of research and development about the use of BIM during various project phases, little work has been conducted about how it could be applied in refurbishment and demolition. Certain significant insights and implications have been uncovered, namely: (a) new BIM tools are required for assessing sustainability criteria; (b) the need for improved interoperability among BIM software and energy simulation tools; (c) BIM uses into various aspects of refurbishment and demolition have to be streamlined; and (d) an innovative procurement system is needed to adapt social sustainability into the project.

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Construction supply chain management is a unique and problematic issue within the construction industry due to its inevitable external risks and variations. The resilience capability of a supplier is of significance in supplier selection; a supplier selected in the context of a resilient construction supply chain (RCSC) is referred to in this research as a "resilient construction supplier". This paper proposes a supplier selection framework tailored to effective information integration for supply chain management. The proposed framework works by integrating building information modeling (BIM) and a geographic information system (GIS) in a RCSC. BIM and GIS together provide highly transparent construction material information, enhanced supply chain status visualization, and workable access information for supplier selection. Supplier performance is evaluated via seventeen resilient criteria under a combined methodology consisting of the analytic hierarchy process (AHP) and grey relational analysis (GRA); AHP and GRA weigh the criteria and rank the suppliers respectively. By varying the weightings given to each criterion, sensitivity analysis was conducted to identify the criteria of resilience which impact the selection priorities of suppliers. An illustrative example is also provided to show the overall process of the proposed framework.

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Purpose – Building Information Modelling (BIM) technology has been well received by the Malaysian construction industry, yet the adoption rate is extremely slow. Many areas of adoption issues and know how regarding BIM were investigated. However, no prior research has considered the perspective from engineering consulting services (ECS) firms. Therefore, the purpose of this paper is to explore the overview and adoption of BIM from the perspective of Malaysian ECS firms, with its objectives first, to determine the perceptions, barriers, governmental support and intentions in adopting BIM, and second, to identify the key drivers for adopting BIM within two years. Design/methodology/approach – The primary data were collected from focus group interview and questionnaire survey to achieve the first objective, and subsequently, the second objective was achieved based on Pearson relationship analysis. Findings – The results show that the firms have a concept of BIM that equates to industry authorities’ norms; yet the lack of well-trained personnel, guidance and governmental supports were identified as the main barriers to adoption. Nevertheless, the firms were prepared to adopt BIM where market demands and competitive advantage were the main drivers to adoption within two years. Originality/value – A different perspective has been highlighted in adoption of BIM. It renders a new insight into the effective adoption and use of BIM from the ECS firms’ perspective.

Social Network Analysis (SNA) is a significant tool for analyzing networks in complex project management that examines the actors' interdependence in iterative and interactive social structures. It can also be used for non-social structure analysis. The potential of SNA could be extended significantly if its application to complex project management could be clarified. The objectives of the present review are threefold: (1) to clarify the interpretation of SNA metrics; (2) to identify its applications to complex project management knowledge areas; and (3) to reveal its uses in the non-social structures of complex networks. The authors conducted a qualitative systematic review based on 65 peerreviewed publications to identify 38 SNA metrics and concepts in nine complex project management knowledge areas. The findings show that SNA is a useful tool for application to the analysis of non-human resource networks and can be used for strategic planning and the improvement of project transmission efficiency and interdisciplinary interactions. The authors also delineated the future studies and the potential applications of SNA to provide new insights into advancing the use of SNA for analyzing and mitigating complex project management issues.

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