Speaker
Description
Building Information Modelling (BIM) is at the core of digital transformation in the Architecture, Engineering, and Construction (AEC) industry. While its adoption is consolidating in primary disciplines such as structures and HVAC, specialist fields such as building acoustics still face significant obstacles due to data fragmentation and a lack of standardised information exchange protocols. This study empirically investigates BIM acceptance among acoustic consultants using the Unified Theory of Acceptance and Use of Technology (UTAUT). Using a quantitative survey approach combined with Structural Equation Modelling (SEM), the research rigorously tests the statistical significance of four primary constructs: Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions. Furthermore, the model incorporates key moderating variables, including gender, age, professional experience, and voluntariness of use, to capture a comprehensive demographic profile of adoption. The findings map the hierarchy of factors driving behavioural intentions, providing a scientific framework for optimising digital workflows. The study emphasises the need for robust data standards and agile, web-based solutions or dedicated plugins to reduce perceived effort and ensure the seamless integration of specialist acoustic data within the broader BIM ecosystem.