Qualitative study explores organisational learning's impact on crime reduction in police intelligence, suggesting actionable frameworks.
Purpose This study examines how organisational learning influences operational effectiveness, intelligence capability and crime reduction outcomes within a police intelligence organisation operating under a strict hierarchy, high operational risk and complex crime reduction demands. Design/methodology/approach Data was collected through conducting 30 semi-structured interviews with police intelligence personnel. Reflexive thematic analysis was conducted. Findings The results reveal that fragmented and informal learning cultures impede organisational learning, weak knowledge management systems, inconsistent access to training, and cultural resistance that discourages reflection, error disclosure, and knowledge sharing. The authors identify a “learning–control paradox” whereby accountability structures intended to ensure control simultaneously inhibit adaptive learning, weaken intelligence processes and undermine operational effectiveness. To address these tensions, the authors developed a Strategic Organisational Learning Implementation Framework to embed learning processes across the intelligence cycle. Research limitations/implications Based on a single police intelligence case, the qualitative findings limit generalisation but offer transferable insights into organisational learning, accountability tensions and implementation challenges in comparable hierarchical intelligence settings. Practical implications The study provides actionable guidance for intelligence leaders by showing how organisational learning can be embedded through routine practices, aligned governance and middle-management leadership without weakening hierarchical accountability. Originality/value This study provides an empirically grounded analysis of organisational learning in a police intelligence environment, offering a theoretically informed and practically applicable framework tailored to hierarchical, high-risk intelligence contexts.
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Scheepers et al. (2026) studied this question.
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