BIM-integrated labour productivity measurement: a systematic review
Archchana Shandraseharan, Wei PanPurpose
Building information modelling (BIM) has the potential to reduce labour intensity in labour productivity (LP) measurement, especially through automated data collection. However, the integration of BIM with LP measurement has not yet been systematically studied. This article aims to examine the knowledge gaps and explore future research directions on BIM-integrated LP measurement through a systematic literature review.
Design/methodology/approach
Publications retrieved from Scopus and Google Scholar in January 2025 were filtered, with 31 selected for in-depth review and analysed using scientometric and content analysis techniques. Content analysis was guided by a dialectical systems approach covering the concept, methodology and value aspects.
Findings
The review specifically addresses four research questions aligned with three dimensions of the dialectical systems approach. Based on the status quo of the literature, a framework is proposed that identifies seven knowledge gaps and nine future research directions. Key knowledge gaps include being limited to data collection, the need for manual input and being confined to 3D/4D BIM. Main future directions include exploring BIM for different stages, developing techniques to enhance automation and utilising additional BIM dimensions for LP measurement.
Originality/value
By employing a dialectical systems approach, this study offered a novel perspective on evaluating BIM-integrated LP measurement. The findings contribute to the knowledge domain by examining the knowledge gaps in BIM-integrated LP measurement with regard to the concept, methodology and value. In additions, the findings can act as a catalyst for advancing research in the identified future directions.