Definition
Knowledge management (KM) captures, curates, and disseminates tacit and explicit know-how to improve decision speed and quality.

Introduction
Organizations leak value when lessons are trapped in silos. KM turns individual learning into institutional memory.

Explanation

Assets: playbooks, post-mortems, runbooks, design docs, customer insights.

Systems: single source of truth, taxonomies, search, version control; contribution rituals.

Tacit to explicit: communities of practice, brown-bags, pairings, shadowing.

Incentives: recognize contributors; link to performance.

Security: access controls, data classification, retention policy.

Key Takeaways

KM needs process + platform + incentives.

Build lightweight rituals (templates, post-mortems).

Measure usage and decision cycle time improvements.

Real-World Case
Siemens built expert networks and repositories (ShareNet) to reuse solutions across geographies—cutting bid times and engineering rework.
Reference: Siemens KM case literature.