TY  - CONF
TI  - Building Information Modelling (BIM) for Project Planning: Measures to Improve Its Adoption
C1  - Lille, France
C3  - Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31)
SP  - 32
EP  - 40
PY  - 2023
DO  - 10.24928/2023/0115
AU  - Akinradewo, Opeoluwa
AU  - Oguntona, Olusegun
AU  - Ogunbayo, Babatunde
AU  - Aigbavboa, Clinton
AU  - Chimbadzwa, Gilbert
AD  -  Doctoral Candidate, cidb Centre of Excellence, Faculty of Engineering and the Built Environment, University  of Johannesburg, South Africa, opeakinradewo@gmail.com, orcid.org/ 0000-0002-4462-0960 
AD  - Senior Lecturer, Department of Built Environment, Faculty of Engineering and Technology, Walter Sisulu  University, Butterworth, South Africa, ooguntona@wsu.ac.za, orcid.org/ 0000-0001-8963-8796
AD  - 3  Postdoctoral Fellow, cidb Centre of Excellence, Faculty of Engineering and the Built Environment, University  of Johannesburg, South Africa, babatundeo@uj.ac.za, orcid.org/ 0000-0002-4334-9136
AD  - 4  Professor, cidb Centre of Excellence, Faculty of Engineering and the Built Environment, University of  Johannesburg, South Africa, caigbavboa@uj.ac.za, orcid.org/ 0000-0003-2866-3706
AD  - BSc. Honours Student, Department of Construction Management and Quantity Surveying, Faculty of  Engineering and the Built Environment, University of Johannesburg, South Africa, gilbert21ch@gmail.com 
AB  - The Architecture Engineering and Construction Industry (AEC) uses Building Information Modelling (BIM) to simplify and enhance sustainability in construction projects. The industry experiences difficulties in achieving project success globally and nationally due to insufficient planning. Technology is required to address this issue by incorporating it into the project planning phase. Therefore, BIM is considered the necessary tool to bridge this gap. This research aims to examine the advantages of implementing BIM during the project planning stage of construction projects. To gather data, a quantitative research approach was employed, and professionals in the South African built environment were surveyed using a questionnaire. The data collected were analysed using descriptive and inferential analysis. Findings from the analysis discovered that the top three measures to improve BIM implementation for project planning in the construction industry are competitive advantage, cost and time savings, and collaboration among AEC professionals. The research concluded that these measures could encourage the adoption of BIM among construction professionals in South Africa. 
KW  - BIM
KW  - built environment
KW  - collaboration
KW  - management
KW  - project planning.
PB  - 
T2  - Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31)
DA  - 2023/06/26
CY  - Lille, France
L1  - http://iglc.net/Papers/Details/2059/pdf
L2  - http://iglc.net/Papers/Details/2059
N1  - Export Date: 03 April 2025
DB  - IGLC.net
DP  - IGLC
LA  - English
ER  -