Integrating Statistical and Knowledge-Based Approaches to Enhance Records Retention and Disposal Policy Adoption in Ugandan Higher Education Institutions

Abstract

The study examined how integrating statistical and knowledge-based approaches can improve the adoption and implementation of records retention and disposal policies in Ugandan higher education institutions. The target population comprised fifteen (15) institutions, of which twelve (12) were purposively selected for their involvement in policy formulation and implementation. These policies provide structured timelines for managing records from creation to final disposal or archival preservation, promoting accountability and compliance. Using a mixed-methods design involving questionnaires, interviews, and document analysis, results showed that only 14% of institutions had formal policies, 19% lacked them, 14% applied statistical methods, and 8% used knowledge-based approaches such as AI-driven classification and expert systems. Institutions employing both approaches demonstrated higher efficiency and compliance. The study concludes that integrating statistical and knowledge-based methods enhances data-driven decision-making and institutional accountability. It recommends adopting Electronic Records Management Systems (ERMS) with built-in analytical and intelligent features to strengthen records governance and policy implementation.