AHFE Open AccessDrivers Influencing the Adoption of Innovative Building Materials (IBM) for Sustainable Construction in Nigeria
Abstract
Amidst the drive for a more sustainable future, the construction industry faces a significant crossroads, a juncture demanding a reimagining of how we occupy our built environment. Within the dynamic backdrop of developing nations, where growth and progress intersect with pressing ecological concerns, adopting innovative building materials (IBM) emerges as essential for realising sustainable construction practices. This study explores the driving factors that influence the adoption of IBM for promoting sustainable construction practices in Nigeria. Employing a descriptive analysis methodology, explicitly harnessing the mean score ranking technique (MS), this study evaluates and ranks the 14 identified drivers influencing IBM adoption. The findings of this study show that the respondents strongly agreed with all the drivers for IBM. Clients' requirements, government regulations, availability of IBM suppliers and developments in information communication technology (ICT)/technology-push are the top drivers of IBM adoption. These findings also highlight the importance of client demand, regulatory policies, access to suppliers, technological advancements, and improved operational efficiency in driving the adoption of IBM. This analysis illustrates the significant role of specific drivers in shaping adoption decisions, thus providing guidance for future policy formulations, strategic planning, and industry practices in the Nigerian construction industry.
Keywords: Innovative Building Materials, Sustainable Construction, Drivers, Construction Industry, Sustainable Development
DOI: 10.54941/ahfe1005741
Cite this paper
More from this volume
- Implementing an AI Fatigue Risk Management System for Aviation Maintenance SMS: A Technology Enhanced Critical Process Human Factors Safety Plan
- Deep Learning Forecast of Perceptual Load Using fNIRS Data
- Artificial intelligence in the function of improving port systems
- Formalizing Trust in Artificial Intelligence for Built Environment Decision-Making
- Artificial Intelligence and Design: Innovation, Practical Applications, and Future Creative Horizons
- Supporting Informal Sustainability Learning with AI-assisted Educational Technology
- An assessment of the maintenance of heritage buildings using AI and IoT: a South African perspective
- What if we Could Entangle Drones? Towards the Management of a Swarm of Drones as a Non-Local Quantum Object
- Engaging All Elderly Residents in Community Renewal: Designer Spotlight Interview Tool for LLM Building
- AI Play in Higher Education: Students’ perceptions of play and co-creation of knowledge with generative AI
- Optimizing AI Involvement in Engineering University Courses Based on Students' Personality
- Predictive Model for Partner Agencies Dependency on Food Banks