Policy Analyst, Policy Intelligience Unit, Nigerian Economic Summit Group (NESG), Abuja, Nigeria.
Received on 21 August 2022; revised on 25 September 2022; accepted on 27 September 2022
This study examined the way that integrated policy intelligence and strategic learning models enhance national development planning in Nigeria. The research design used was descriptive-correlational research design, employing a survey method, which interviewed 300 respondents across relevant government agencies using structured questionnaires. Descriptive statistics, correlation analysis, and multiple regression methods were applied to the data. The results demonstrated that integrated policy intelligence significantly predicted planning effectiveness, β = 0.531, t(298) = 14.08, p < .001, while strategic learning models also significantly influenced policy implementation outcomes, β = 0.665, t(298) = 14.83, p < .001. The combined impact of both predictors on overall development planning performance was significant, R² = .525, F(2, 297) = 164.5, p < .001. Yet it was limited by issues like weak data integration, political discontinuity, and poor institutional memory. Agencies implementing evidence-based practices and digital monitoring tools showed better outcomes. It is suggested by the study that integrating policy intelligence, strategic learning, and digital tools provides a robust framework for national development planning in Nigeria.
Nigeria; Integrated Policy Intelligence; Strategic Learning Models; National Development Planning; Policy Implementation; Digital Monitoring Tools; Data Integration; Governance Efficiency; Public Sector Innovation; Development Policy Analysis
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Chinazam Felicia Okorie. Strengthening Nigeria’s national development planning through integrated policy intelligence and strategic learning models. World Journal of Advanced Research and Reviews, 2022, 15(03), 666-679. Article DOI: https://doi.org/10.30574/wjarr.2022.15.3.0957