Exploring the relationships between emerging technologies and design process in Nigerian architectural firms
Ifeoluwa Akande, Akunnaya Pearl Opoko, Adeoye Olugbenga AdewoluPurpose
This study examines the relationship between these emerging technologies on architectural design processes, exploring their impact on design iteration, efficiency, visualisation, reducing error and rework.
Design/methodology/approach
Using a quantitative approach, data were collected through questionnaires from 398 architectural firms within Nigeria to assess the extent of technology adoption and its impact.
Findings
The findings show that there is a strong positive correlation between the emerging technologies explored and architectural design processes. BIM tools enhance design efficiency and speed, design iterations and design visualisation (r = 0.762; 0.678; 0.656 respectively) by streamlining workflow, automating repetitive tasks and integrating various design elements and have a low relationship with design error and rework (0.190). Automation tools and robotics, with other technological tools like virtual reality, augmented reality, and generative design, also have a low positive correlation with design-reduced error and rework (r = 0.429, 0.256, respectively). Other technological tools and technology correlate with design iterations (0.857) and visualisation (0.882), helping architects polish their ideas and successfully communicate them to clients. Overall, all variables against the emerging trends have a p-value of less than 0.05, this means that there is a significant relationship between the emerging trends and architectural design practice.
Originality/value
The study concludes that the targeted investment in digital skills training, infrastructure, and policy incentives is essential for accelerating digital transformation in the Nigerian architectural sector. The findings offer practical guidance for architectural firms, educators, and policymakers by identifying which emerging technologies deliver measurable improvements in design efficiency, visualisation, and error reduction, and where targeted skills development and policy support are required to translate technological potential into practice.