Identification of critical soft cost elements in BIM-based construction projects: a Delphi survey
Purpose Building information modeling (BIM) offers numerous benefits for construction projects, but its implementation can include additional non-physical costs, commonly referred to as soft costs, distinct from traditional construction projects. Hence, understanding the soft cost elements (SCEs) is critical for accurate cost estimation in BIM-based construction projects. This study aims to identify the critical SCEs in BIM-based construction projects. Design/methodology/approach This study conducted a multi-stage approach, starting with an SLR to compile an initial list of SCEs, which was refined through a pilot test with BIM experts. A Delphi survey conducted with 16 experts evaluated the SCEs for two rounds. Data analysis included mean values and percentage of agreement analyses to identify the critical SCEs. Finally, a thematic analysis was conducted to categorize the critical SCEs. Findings This study identified eight critical SCEs in BIM-based construction projects, categorized into two categories: technology and human resources. Technology-related costs include BIM software, hardware, updates and BIM-specific planning/designing. Human resource-related costs encompass BIM consultant, modeler, coordinator and manager remuneration. Originality/value This is the first study to determine the critical SCEs in BIM-based construction projects. Understanding the critical SCEs provides stakeholders with actionable insights for developing strategies to improve the cost management of SCEs in BIM-based construction projects.
Institutions
- Universiti Malaysia Pahang Al-Sultan Abdullah (MY)
- Daffodil International University (BD)
- State Key Laboratory of Building Safety and Built Environment (CN)
Publication Details
- Journal
- Built Environment Project and Asset Management
- Published
- 2025-10-07
- DOI
- https://doi.org/10.1108/bepam-12-2024-0289
- Primary Topic
- Orthopaedic implants and arthroplasty
- Type
- article
- Field-Weighted Citation Impact
- 0.00