Stephen Ojo

Girne American University, Anderson University - South Carolina

Papers

Total Citations

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About

Dr. Stephen Ojo is a forward-thinking researcher at the intersection of emerging technologies and industrial innovation. His primary research areas include blockchain technology adoption, artificial intelligence in automation, and system dynamics modeling within the construction sector. Dr. Ojo’s most influential work, "Factors Influencing the Adoption of Blockchain Technology in the Construction Industry: A System Dynamics Approach" (2021), has garnered 20 citations, establishing a foundational framework for understanding how decentralized ledgers can transform project transparency, supply chain management, and contractual trust in construction. This paper is widely recognized for its novel application of system dynamics to model complex adoption barriers, offering both theoretical insights and practical guidance for industry stakeholders. More recently, Dr. Ojo has explored the integration of artificial intelligence in robotics (2024), examining how AI-driven autonomy is redefining the capabilities of self-governing devices—from enhanced perception to adaptive decision-making. His work bridges the gap between cutting-edge computational methods and real-world engineering challenges, making him a valuable voice for students and researchers interested in the digital transformation of traditional industries.