Plain-language explanation.
Knowledge management (KM) is the practice of creating, capturing, sharing, and applying knowledge within an organisation to improve performance and innovation. It distinguishes between explicit knowledge (documented, transferable) and tacit knowledge (experiential, hard to articulate).
Core concepts and standard treatment.
KM frameworks include the SECI model (Nonaka & Takeuchi — Socialisation, Externalisation, Combination, Internalisation), communities of practice (Lave & Wenger), after-action reviews (AARs), knowledge audits, lessons-learned repositories, and expert directories (people-finder systems). KM systems include intranets, wikis, and enterprise social networks.
Deeper theory, debates and edge cases.
Advanced KM engages with organisational learning theory (Argyris single/double-loop learning), knowledge loss risk (workforce ageing, brain drain), social network analysis for knowledge flow mapping, AI-augmented knowledge retrieval (RAG architectures, enterprise LLMs), and the knowledge-creating company framework in digital transformation contexts.
How it is applied in practice.
At the chief knowledge officer and learning organisation director level, KM professionals design enterprise knowledge architectures, govern AI knowledge bases, implement ISO 30401 (Knowledge Management Systems), measure intellectual capital (Skandia Navigator, Balanced Scorecard), and align KM strategy with organisational capability frameworks for competitive advantage.