Outputs (29)

Modelling the training strategies for reskilling UK construction workers in the Fourth Industrial Revolution era: a structural equation model approach (2025)
Journal Article
Alhamoudi, A. M., & Osunsanmi, T. O. (online). Modelling the training strategies for reskilling UK construction workers in the Fourth Industrial Revolution era: a structural equation model approach. Smart and Sustainable Built Environment, https://doi.org/10.1108/sasbe-08-2024-0337

Purpose
The United Kingdom (UK) construction industry is experiencing a significant skills shortage due to the advancements of the Fourth Industrial Revolution (4IR), leading to a high demand for reskilling. However, there is a lack of effective tra... Read More about Modelling the training strategies for reskilling UK construction workers in the Fourth Industrial Revolution era: a structural equation model approach.

A comprehensive analysis of container vs prefabricated emergency shelters for post-disaster reconstruction in Damascus (2024)
Presentation / Conference Contribution
Khaddour, L., Obead, R., Yeboah, S., Osunsanmi, T., & Elhassnaoui, I. (2023, December). A comprehensive analysis of container vs prefabricated emergency shelters for post-disaster reconstruction in Damascus. Presented at 5th International Conference on Advanced Technologies and Humanity (ICATH’2023), Rabat, Morocco

The escalation of both natural and man-made disasters globally has led to profound challenges for nations grappling with the aftermath, particularly in the provision of post-disaster emergency shelters. These shelters hold critical significance in di... Read More about A comprehensive analysis of container vs prefabricated emergency shelters for post-disaster reconstruction in Damascus.

Multi-Attribute Analysis For Sustainable Reclamation Of Urban Industrial Sites: Case From Damascus Post-Conflict (2024)
Presentation / Conference Contribution
Khaddour, L., Osunsanmi, T., Olawumi, T., & Bradly, L. (2024, June). Multi-Attribute Analysis For Sustainable Reclamation Of Urban Industrial Sites: Case From Damascus Post-Conflict. Presented at The 2024 World Sustainable Built Environment Conference (WSBE24), Online

The reclamation of urban industrial zones presents intricate challenges within urban planning, notably in post-disaster scenarios aimed at revitalizing urban landscapes. This study delves into the complexities and decision-making intricacies involved... Read More about Multi-Attribute Analysis For Sustainable Reclamation Of Urban Industrial Sites: Case From Damascus Post-Conflict.

Attaining Ambidexterity in Construction Organisations through Digitalisation (2024)
Book Chapter
Aghimien, D., Montalvo, L. Z., Osunsanmi, T., Aigbavboa, C., & Taki, A. (2024). Attaining Ambidexterity in Construction Organisations through Digitalisation. In T. Omotayo, O. Ogunmakinde, T. Egbelakin, & A. Sojobi (Eds.), Innovations, Disruptions and Future Trends in the Global Construction Industry (215-232). Routledge. https://doi.org/10.1201/9781003372233-19

In an ever-changing construction environment shaped by pervasive digital technologies, the role of digitalisation in ensuring effective exploitation and exploration (ambidexterity) of available opportunities cannot be overlooked. Leveraging digital t... Read More about Attaining Ambidexterity in Construction Organisations through Digitalisation.

Making a Case for the Adoption of Industry 4.0 Technologies for Sustainable Housing Delivery in Saudi Arabia (2024)
Journal Article
Alhamoudi, A. M., & Osunsanmi, T. O. (2024). Making a Case for the Adoption of Industry 4.0 Technologies for Sustainable Housing Delivery in Saudi Arabia. Sustainability, 16(8), Article 3399. https://doi.org/10.3390/su16083399

The Kingdom of Saudi Arabia (KSA) grapples with the challenge of achieving sustainable housing delivery amidst rapid urbanization and rising construction costs. Current housing strategies have failed to offer a lasting solution to the crisis. To addr... Read More about Making a Case for the Adoption of Industry 4.0 Technologies for Sustainable Housing Delivery in Saudi Arabia.

Framework for the UK Construction Industry Transition to Net Zero Design: A Delphi Techniques and Structural Equation Model Approach (2024)
Journal Article
Osunsanmi, T. O., Gillies-Denning, E., Khaddour, L., Olawumi, T. O., & Moobela, C. (2025). Framework for the UK Construction Industry Transition to Net Zero Design: A Delphi Techniques and Structural Equation Model Approach. International journal of construction management, 25(5), 495-509. https://doi.org/10.1080/15623599.2024.2337143

The shift towards net zero design for the construction industry poses complex challenges, which can be likened to a three-headed hydra embodying energy, water, and carbon emissions. The industry stakeholders have grappled with addressing the challeng... Read More about Framework for the UK Construction Industry Transition to Net Zero Design: A Delphi Techniques and Structural Equation Model Approach.

Critical success factors for implementing smart maintenance in the fourth industrial revolution era: a bibliometric analysis within the built environment (2023)
Journal Article
Osunsanmi, T. O., Okafor, C. C., & Ohis Aigbavboa, C. (2025). Critical success factors for implementing smart maintenance in the fourth industrial revolution era: a bibliometric analysis within the built environment. Journal of Facilities Management, 23(2), 209-230. https://doi.org/10.1108/jfm-01-2023-0006

Purpose
The implementation of smart maintenance (SM) has greatly benefited facility managers, construction project managers and other stakeholders within the built environment. Unfortunately, its actualization for stakeholders in the built environme... Read More about Critical success factors for implementing smart maintenance in the fourth industrial revolution era: a bibliometric analysis within the built environment.

Roles of Artificial Intelligence and Machine Learning in Enhancing Construction Processes and Sustainable Communities (2023)
Journal Article
Kazeem, K. O., Olawumi, T. O., & Osunsanmi, T. (2023). Roles of Artificial Intelligence and Machine Learning in Enhancing Construction Processes and Sustainable Communities. Buildings, 13(8), Article 2061. https://doi.org/10.3390/buildings13082061

Machine Learning (ML), a subset of Artificial Intelligence (AI), is gaining popularity in the architectural, engineering, and construction (AEC) sector. This systematic study aims to investigate the roles of AI and ML in improving construction proces... Read More about Roles of Artificial Intelligence and Machine Learning in Enhancing Construction Processes and Sustainable Communities.

Tiny Housing Development: A Vaccine for Unaffordable Housing Delivery in Africa (2023)
Presentation / Conference Contribution
Osunsanmi, T., Deakin, M., Jaradat, S., & Olawumi, T. (2022, July). Tiny Housing Development: A Vaccine for Unaffordable Housing Delivery in Africa. Presented at 12th CIDB Conference on 'Towards a sustainable construction industry: The role of innovation and digitalisation', East London, South Africa

The menace of unaffordable housing delivery has spread like a virus across the countries within the African continent. The virus has infested numerous activities and is responsible for the slum development and other social vices on the continent. Tow... Read More about Tiny Housing Development: A Vaccine for Unaffordable Housing Delivery in Africa.

Modelling the drivers of data science techniques for real estate professionals in the fourth industrial revolution era (2023)
Journal Article
Osunsanmi, T., Olawumi, T. O., Smith, A., Jaradat, S., Aigbavboa, C., Aliu, J., Oke, A., Ajayi, O., & Oyeyipo, O. (2024). Modelling the drivers of data science techniques for real estate professionals in the fourth industrial revolution era. Property Management, https://doi.org/10.1108/PM-05-2022-0034

Purpose
The study aims to develop a model that supports the application of data science techniques for real estate professionals in the fourth industrial revolution (4IR) era. The present 4IR era gave birth to big data sets and is beyond real estate... Read More about Modelling the drivers of data science techniques for real estate professionals in the fourth industrial revolution era.