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Knowledge management (KM) refers to a range of processes focused on organizational awareness, learning, collaboration, and innovation. It involves using and sharing knowledge to support an organization's goals.
The analysis highlights History and Research as prominent areas in the source structure around Knowledge management.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
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The extracted context around Knowledge management shows recurring relationship patterns in the source. For example, Knowledge management → Babson College, Baruch Lev, Canada, CIBC, CKO, CKOs, Davenport, Fortune, Gradually, Harvard Business Review, Hirotaka Takeuchi, Hitotsubashi University, Hubert Saint-Onge, Ikujiro Nonaka, KM, Leif Edvinsson, New York University, Skandia, Stewart, Sweden Another extracted example is Knowledge management → Collaborative, Commercial, Content, Enterprise, Groupware, Internet, KM, Knowledge, Planning, Roles, Semantic, Software, Systems, Telepresence, Videoconferencing, Workflow. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
knowledge management information protection km sharing explicit intellectual organizations tacit also transfer formal assets software property organizational methods individuals process
TTTA extracted 80 structured relationships around Knowledge management. Examples in this analysis include knowledge bases → instance of → specific adaptations of technologies and communities of practice or the use of social computing tools can be used for both knowledge creation → instance of → Collaborative environments. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| knowledge bases | instance of | specific adaptations of technologies | 0.80 | text |
| expert systems | instance of | specific adaptations of technologies | 0.80 | text |
| information repositories | instance of | specific adaptations of technologies | 0.80 | text |
| group decision support systems | instance of | specific adaptations of technologies | 0.80 | text |
| intranets | instance of | specific adaptations of technologies | 0.80 | text |
| and computer-supported cooperative work have been introduced to further enhance such efforts.In 1999 | instance of | specific adaptations of technologies | 0.80 | text |
| the term personal knowledge management was introduced | instance of | specific adaptations of technologies | 0.80 | text |
| communities of practice or the use of social computing tools can be used for both knowledge creation | instance of | Collaborative environments | 0.80 | text |
| transfer.StrategiesKnowledge may be accessed at three stages | instance of | Collaborative environments | 0.80 | text |
| transfer | instance of | Collaborative environments | 0.80 | text |
| editors | instance of | Roles | 0.80 | text |
| graphic designers | instance of | Roles | 0.80 | text |
The concept neighborhoods around Knowledge management bring nearby vocabulary together. In this analysis, examples include Management, Protection and Software. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Knowledge management, one of the stronger structural bridges in this analysis connects Knowledge management with Research. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Knowledge management to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Research, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Knowledge management · EN edition · Analysis: TopicsToTalkAbout
