Adoption of Modern Construction Technologies in Enhancing Time Performance of Building Projects in Lagos State
Abstract
Abstract
Purpose – Building project delays in Lagos State average over 40% beyond scheduled completion, yet the relationship between modern construction technology (MCT) adoption and time performance remains empirically underexplored in the Nigerian context. This study, therefore, investigates the extent to which the adoption of modern construction technologies influences the time performance of building projects in Lagos State, Nigeria.
Findings – Construction firms exhibited significant adoption of BIM and mobile technologies, but critically low usage of IoT, RFID, AR/VR, and 3D printing. A strong positive correlation was observed between technology adoption and improved time performance (r = 0.553, p < 0.05), crucially demonstrating that adoption of data-centric MCTs across interconnected phases offers the most significant leverage for improving project delivery time. Executionphase technologies alone showed no significant correlation with timeliness.
Research limitations/implications – The study focused on Lagos State, limiting generalisation to other regions. Future research could explore longitudinal impacts of technology adoption across diverse geographic contexts.
Practical implications – The findings emphasise the need for government incentives, skill development programs, and standardise regulations to accelerate technology integration. Stakeholders should prioritise integrated deployment of data-centric technologies (including BIM and mobile tools) to significantly enhance time performance and reduce project delays.
Originality/value – This study uniquely links technology adoption to time efficiency in Lagos state’ construction sector, addressing a critical gap in developing economies. It provides actionable strategies to enhance project resilience, safety, and economic outcomes in rapidly urbanising regions.
Keywords: Adoption; Building projects; Lagos State; Modern construction technologies; Time performance