BIM Roles and Responsibilities in Developing Countries: A Dedicated Matrix for Design-Bid-Build Projects

Building information modeling (BIM) through data-rich digital representation has revolutionized the architecture, engineering, and construction (AEC) industry. BIM implementation in the AEC industry has noticeably increased over the last decade. Various BIM roles have been discussed in the literature to ease the process of BIM implementation, but the BIM roles related to project delivery methods have not been standardized. Stimulated by this need, this study develops a BIM roles and responsibilities matrix (BIM-R&R) in the context of the design-bid-build (DBB) projects for developing countries. A comprehensive literature review has been conducted, followed by a questionnaire survey comprising 105 responses. The results were analyzed to formulate a BIM-R&R matrix, on which the expert opinion was obtained from the BIM experts. The proposed BIM-R&R matrix describes all the roles and their corresponding responsibilities required along the project life cycle phases of DBB projects. The incorporation of BIM roles in the DBB procurement process will aid in the efficient management of all information and data that may be lost due to the fragmented nature of DBB. BIM roles with enhanced communication and coordination will also help in reducing time and cost overruns while maintaining a high-quality product. This study helps the associated construction industry in its efforts to implement BIM on their projects by providing a method by which to assess which BIM roles are necessary. Moreover, it will provide project and construction managers with a clear understanding of the BIM roles in DBB projects.

Automated summary

This study develops a BIM roles and responsibilities matrix (BIM-R&R) for design-bid-build (DBB) projects in developing countries. The matrix describes the roles and responsibilities required in each phase of the project life cycle. Incorporating BIM roles in the procurement process can improve information and data management efficiency, reduce time and cost overruns, and maintain high-quality products.