Knowledge management
Knowledge management is the systematic creation, capture, sharing, and use of knowledge within an organization to support its work and decisions.
Knowledge lifecycle: A model describing how knowledge is created, captured, organized, shared, and applied over time. It maps the recurring stages that knowledge-management programs coordinate.
Tacit knowledge: Knowledge rooted in experience and practice that is difficult to express fully in words or formal rules. Much organizational expertise is tacit and cannot be captured by documents alone.
Knowledge base: An organized collection of information intended to answer questions or support decisions and tasks. It provides a searchable home for documented organizational knowledge.
Peter Drucker: An Austrian-American management writer who developed influential ideas about management, innovation, and knowledge work. His account of knowledge workers helped frame knowledge as central to modern organizations.
Document management: The control of documents through their creation, organization, storage, retrieval, and disposition. Document management governs records, while knowledge management also addresses expertise and use.
Knowledge capture: The process of recording knowledge from people, documents, and work so it can be retained and reused. It preserves expertise that might otherwise remain undocumented or disappear.
Explicit knowledge: Knowledge expressed in a form that can be documented, stored, and communicated. Documents and repositories usually preserve explicit knowledge most directly.
Communities of practice: Groups of people who deepen shared expertise by learning and working together around a common practice. They share practical know-how that formal documentation may not capture.
Ikujiro Nonaka: A Japanese organizational theorist known for work on knowledge creation in organizations. His research made organizational knowledge creation a central management topic.
Data management: The practices and systems used to collect, organize, protect, and maintain data. Data is an input to knowledge work, but managing data alone does not manage shared understanding.