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Collective intelligence and KMS

Short answer

Collective intelligence emerges when many individuals collaborate, producing group outcomes smarter than any single member. It refines a KMS by enabling diverse knowledge contributions, continuous peer review and voting, which keeps content current, accurate and findable, as seen in an internal wiki where engineers post and rate solutions.

Define Collective Intelligence. How does it help refinement of Knowledge Management System (KMS) of an organization? Explain with a suitable example.

Collective intelligence

Collective Intelligence (CI) is the shared or group intelligence that emerges when many individuals collaborate, compete or contribute their knowledge, so that the group's combined result is smarter than any single member. Examples: Wikipedia, Stack Overflow, Google search ranking, crowdsourcing.

How it helps refine a Knowledge Management System

  1. More knowledge sources - all employees, not only experts, add knowledge (tacit knowledge is made explicit).
  2. Continuous improvement - content is reviewed, corrected, rated and updated by users (tagging, comments, voting).
  3. Better quality and relevance - the best answers rise to the top through ratings.
  4. Faster problem solving - questions are answered by colleagues across departments.
  5. Innovation - ideas are pooled from many viewpoints (idea platforms).
  6. Uncovers expertise - shows who knows what.
  7. Keeps knowledge current as the business changes.

Example

A software company has an internal wiki and Q&A forum. Engineers post solutions to bugs, others edit and vote on the answers, and tags make them searchable. New staff find solutions quickly, and the KMS improves over time without a central editor. Similarly, a telecom helpdesk uses suggestions from its agents to refine its knowledge base of fixes.

✓ Answer checked by Claude Opus 5.5 (high effort)

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