TY - JOUR
T1 - Driving digital transformation in construction
T2 - Strategic insights into building information modelling adoption in developing countries
AU - Rinchen, Sonam
AU - Banihashemi, Saeed
AU - Alkilani, Suhair
N1 - Funding Information:
The outer layer of the model encapsulates Adoption Factors, which are essential components that must be addressed to ensure successful BIM adoption. Government Engagement is crucial, requiring active participation, spearheading pilot projects, and developing BIM adoption roadmaps. Government bodies must take the lead in demonstrating BIM's value and fostering an environment conducive to its adoption. A Legal Framework ensures that BIM adoption is supported by appropriate policies and regulations. This includes government-academia collaboration, defining legal responsibilities for BIM, and standardizing contracts for BIM projects. Financial Support is a key facilitator, encompassing the establishment of BIM adoption funds and the encouragement of public-private partnerships. These financial mechanisms can alleviate the cost burden of adopting BIM technologies and processes. Education and Training should be embedded into academic curricula to cultivate a workforce skilled in BIM. National accreditation and certification for BIM training can uphold the quality of education and assure industry readiness ( Figure 5 ).
Publisher Copyright:
© 2024 The Authors
PY - 2024
Y1 - 2024
N2 - The construction industry in developing countries faces significant challenges, including limited resources, infrastructure constraints, and varying levels of technological readiness, which hinder the adoption of Building Information Modelling. Despite the recognized benefits in enhancing project efficiency, reducing costs, and improving collaboration, there is a lack of comprehensive understanding and tailored strategies for Building Information Modelling implementation in these contexts. This study aims to address these gaps by systematically reviewing Building Information Modelling adoption literature from 2013 to 2023 and developing a model specifically designed to guide its integration in developing nations. It categorizes nations by demographic and economic parameters and employs thematic analysis to explore benefits, challenges, and strategies. The study develops a tailored Building Information Modelling adoption model, by highlighting the dynamic interplay between adoption, contextual and strategic factors, technological advancement and socio-economic development and synthesizing key insights from academic literature and empirical findings. It offers strategic recommendations for nations at different Building Information Modelling integration stages, addressing their unique socio-economic and environmental contexts. The study identifies trends in utilization and highlights significant gaps, particularly in empirical, educational and strategic initiatives on digital construction transformation.
AB - The construction industry in developing countries faces significant challenges, including limited resources, infrastructure constraints, and varying levels of technological readiness, which hinder the adoption of Building Information Modelling. Despite the recognized benefits in enhancing project efficiency, reducing costs, and improving collaboration, there is a lack of comprehensive understanding and tailored strategies for Building Information Modelling implementation in these contexts. This study aims to address these gaps by systematically reviewing Building Information Modelling adoption literature from 2013 to 2023 and developing a model specifically designed to guide its integration in developing nations. It categorizes nations by demographic and economic parameters and employs thematic analysis to explore benefits, challenges, and strategies. The study develops a tailored Building Information Modelling adoption model, by highlighting the dynamic interplay between adoption, contextual and strategic factors, technological advancement and socio-economic development and synthesizing key insights from academic literature and empirical findings. It offers strategic recommendations for nations at different Building Information Modelling integration stages, addressing their unique socio-economic and environmental contexts. The study identifies trends in utilization and highlights significant gaps, particularly in empirical, educational and strategic initiatives on digital construction transformation.
KW - BIM adoption
KW - BIM barriers
KW - BIM drivers
KW - Building information modelling
KW - Developing countries
KW - Digital transformation
UR - http://www.scopus.com/inward/record.url?scp=85196325106&partnerID=8YFLogxK
U2 - 10.1016/j.plas.2024.100138
DO - 10.1016/j.plas.2024.100138
M3 - Article
AN - SCOPUS:85196325106
SN - 2666-7215
VL - 5
SP - 1
EP - 20
JO - Project Leadership and Society
JF - Project Leadership and Society
M1 - 100138
ER -