AI-Driven Predictive Analytics and Digital Governance for Sustainable Public Sector Supply Chains in Developing Economies

This study examines how Nigerian public institutions are adopting artificial intelligence (AI), with a focus on predictive analytics in public service delivery. A survey of 300 federal civil servants across 10 ministries was conducted, grounded in New Public Management (NPM), Technology Acceptance Model (TAM), and Socio-Technical Systems (STS) frameworks. Findings show growing AI awareness (74.7%) but limited training (42.3%), revealing a skills gap. While 81.3% believe AI can enhance decision-making, only 38.7% report technical readiness. Barriers include poor infrastructure (69.0%), high costs (62.0%), and resistance to change (54.3%). Ethical concerns involve job loss fears (71.7%), data privacy (68.0%), and bias (59.3%). Positive factors include leadership and collaboration (76.0%). Effective adoption requires building staff capacity, fostering digital trust, and promoting a culture of innovation to translate AI into meaningful public value.