Legal Framework and Mathematical Modelling of Technology Transfer in Nigeria’s Oil Industry
How to Cite
Simon Ejokema Imoisi, Esosa Enoyoze. (2026). Legal Framework and Mathematical Modelling of Technology Transfer in Nigeria’s Oil Industry. Ktrend - International Journal of Law and Legal Studies (IJLLS), Volume 1 (Issue 1), 1-18. https://doi.org/10.5281/zenodo.21100750
📘 Abstract
Technology transfer is a fundamental mechanism for enhancing indigenous technological capability, promoting industrial development, and reducing dependence on foreign expertise within the petroleum sector. Despite Nigeria's comprehensive legal and institutional frameworks—including the Nigerian Oil and Gas Industry Content Development Act 2010, the National Office for Technology Acquisition and Promotion Act, and the Petroleum Industry Act 2021—significant challenges remain in achieving effective technology transfer in the oil industry. This study examines the legal framework governing technology transfer in Nigeria's oil industry and extends the analysis through the development of a mathematical model for evaluating technology transfer performance. Using a doctrinal legal research methodology complemented by mathematical modelling, the study analyses the effectiveness of existing regulatory instruments, institutional enforcement mechanisms, and the emerging role of artificial intelligence in technology transfer. A Technology Transfer Performance Model is developed to evaluate the relationships among legal compliance, capacity building, research collaboration, artificial intelligence adoption, and foreign technological dependence. The model demonstrates that stronger regulatory compliance, increased investment in research and innovation, enhanced capacity development, and greater adoption of artificial intelligence significantly improve technology transfer outcomes while reducing technological dependence. The study concludes that legal reforms alone are insufficient without measurable implementation frameworks capable of monitoring technology transfer performance. It recommends the integration of quantitative assessment models into Nigeria's local content regulatory regime, strengthened institutional coordination, increased investment in indigenous research and development, and explicit regulation of artificial intelligence and digital technologies within existing petroleum legislation. The proposed interdisciplinary framework provides policymakers, regulators, and industry stakeholders with a practical tool for evaluating and improving technology transfer, thereby supporting sustainable industrial development and technological self-reliance in Nigeria's oil industry.
