Abstract. High-impact floods have become a virtually annual experience in Malaysia, yet flood insurance has remained a grossly neglected part of comprehensive integrated flood risk management. Using discriminant analysis, this study seeks to identify the demand-side variables that best predict flood insurance purchase and risk aversion between two groups of residential homeowners in three districts of Johor State, Malaysia: those who purchased flood insurance and those who did not. Our results revealed an overall 34 % purchase rate, with Kota Tinggi district having the highest (44 %) and thus the highest degree of flood risk aversion. The Wilks' lambda F test for equality of group means, standardised discriminant function coefficients, structure correlation, and canonical correlation has clearly shown that there are strong significant attribute differences between the two groups of homeowners, based on the measures of objective flood risk exposure, subjective risk perception, and socioeconomic cum demographic variables. However, the measures of subjective risk perception were found to be more predictive of flood insurance purchase and flood risk aversion.

Part 1: BIM Operations, Maintenance and RenovationInternational audienceThe paradigm shift in the construction industry from 2D to Building Information Modelling (BIM) presents unforeseen challenges for new entrant construction industries. Experiences from advanced industry users of BIM shape the directions for future use. In Malaysia, BIM maturity is fast appreciating with increasing demand for efficiency and competitive advantages. However, adoption rate encounters resistance from several factors highlighted in previous research: people, process and technology. To improve on Information technology (IT) adoption models factors such as business process re-engineering, computer integrated construction and BIM adoption were considered for this research. This paper represents findings of an ongoing research, presenting the designed questionnaire to access perception of construction industry professionals (Architects, Quantity Surveyors, Engineers and Contractors) knowledge on BIM softwares and BIM attributes. Responses were derived from 120 construction professionals in the pilot phase of the research. The data is analyzed using SPSS for a descriptive overview of the most prominent BIM software usage. Smart PLS was utilized to analyze the path coefficient effects of each variable in the model. The Cronbach Alpha derived fell within an agreeable minimum threshold of above 0.60. The factors loaded appropriately to each variable. The path coefficient revealed people perception had the highest effect on collaborative processes, business process re-engineering (BPR) had the highest effect on BIM adoption and model variance R2 explained 24.6% of BIM adoption. The results will demonstrate the current state of BIM adoption in Malaysian construction industry complimenting current efforts to improve BIM awareness. At this stage, future research focuses on developing the second phase of the model and recommends towards extending and redefining the model with other mediating variables

Purpose – This paper aims to investigate the relationship between building information modelling (BIM) adoption from the perspectives of people, process and technology to strategic information technology (IT) in construction mediated by collaborative processes for new BIM entrants. The demand pull for more effective project delivery in the construction industry across the globe has continued to transform design techniques from two-dimensional, three-dimensional (3D) and, currently, BIM. Leverage on IT is pivotal for construction industry development as earmarked by the Malaysian construction industry master plan. BIM uptake by stakeholders in Malaysia construction industry is on a gradual increase. BIM generates and manages building data during its life cycle via 3D, real-time, dynamic building modelling. Design/methodology/approach – BIM model is dependent on collaborative contribution by project teams’ input at various stages. However, challenges such as people, process and technology impede an effective adoption rate in Malaysia. This paper presents a continuation of an ongoing theoretical framework developed, to further investigate the relationship between BIM adoption from perspectives of people, process and technology to strategic IT in construction and collaborative process. To develop the framework, an extensive literature review on factors affecting BIM adoption was carried out. The underlining gap stems from a positivist standpoint in examining human – IT interaction. The model builds on conceptual technology acceptance models incorporating strategic IT implementation and collaborative processes in the industry. Findings – The paper examined factors affecting BIM adoption in Malaysia. The factors are further affected by the environment where BIM is utilised. The paper also presents the mediating effect of collaboration for new BIM entrants. Overall, the theorised hypotheses delineate the strength and significance of the examined relationship within the model. Subsequently, the data will be collected from construction industry professionals (architects, quantity surveyors, engineers and contractors) through the developed survey instrument. The hypotheses will undergo structural equation modelling to analyse the desired statistical power, test for close versus exact fit and complexity of the model. Social implications – The findings will delineate the variables with predominant impact on BIM adoption and serves as a guide to future policymaking on BIM implementation in Malaysia. Originality/value – Current research on BIM in Malaysia is limited to readiness and awareness. This paper extends the need for empirical findings from construction professionals’ perception of BIM. The findings also explain reasons for BIM adoption in new BIM entrants and add to current body of knowledge on IT acceptance model formation.

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