An evaluation of AI in managing library circulation services in Delta State University Library, Abraka, Delta State
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- NGN 5000
Background of the study
Library circulation—managing check‑in, check‑out, renewals, and holds—is increasingly supported by AI tools that predict demand, automate reminders, and optimize shelving workflows (Mihailidis, 2023). AI‑driven demand forecasting enables libraries to allocate copies efficiently, while chatbot interfaces handle routine patron inquiries, freeing staff for complex tasks (Khan, 2024). Delta State University Library implemented an AI circulation module that analyzes borrowing patterns and automates overdue notifications, yet its impact on loan turnaround times, patron satisfaction, and staff workload has not been systematically evaluated. Understanding these effects will inform best practices for AI‑enabled circulation management in academic libraries.
Statement of the problem
Despite the AI circulation system’s deployment, the library lacks data on key performance indicators—such as average loan processing time and notification effectiveness—hindering evidence‑based optimization and justification of AI investments.
Objectives of the study
To assess changes in circulation metrics after AI implementation.
To measure patron satisfaction with AI‑driven services.
To identify workflow improvements and training needs for staff.
Research questions
How has AI affected loan processing times and hold fulfillment rates?
What is the level of patron satisfaction with automated notifications and self‑service features?
What operational adjustments are needed to maximize AI benefits?
Significance of the study
The evaluation will provide actionable insights for library circulation managers and IT teams to refine AI configurations, improve service responsiveness, and demonstrate ROI, supporting data‑driven decision‑making in circulation operations.
Scope and limitations of the study
This evaluation covers AI‑enabled circulation services at Delta State University Library, Abraka. It excludes interlibrary loan and special collections circulation.
Definitions of terms
Demand forecasting: AI process of predicting future resource usage based on historical data.
Circulation module: Software component managing the lending and return of library materials.
Notification effectiveness: Measure of how well automated messages prompt desired patron actions.
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