KM_concepts KM_concepts

KM concepts - Definition

Key Knowledge Management Concepts

Knowledge management discourse has adopted, invented and refined concepts from a wide rage of disciples and practices. Here is a selection of core concepts that help bound KM which has proved difficult to define.

Corporate memory - a collection of best practices, heuristics, process documents and other texts that help define how a business operates. (related terms: organizational memory or group memory). The ability to capture, maintain and grow a knowledge base, select appropriate technologies and motivate quality contributions, is a key KM theme.

Intellectual capital - the intangible assets of a firm. Competencies, culture and connections that enable and foster innovation, agility, awareness, adaptation and corporate survival. KM plays a role in mapping, recording, evaluating, stewarding, marketing and growing intellectual capital and knowledge assets.

Personal_knowledge_management - a KM theme that focusses on individual responsibility for learning, connecting, organizing and producing knowledge. This is closely tied to blogging, personal information management and branding.

Additional concepts - tacit knowledge, knowledge harvesting, business intelligence, knowledge sharing, knowledge transfer,social capital, social networking, trust (sociology), Knowledge_representation, DIKW (data / information / knowledge / wisdom)

Lessor KM Concepts

What we should know to be considered a proficient KM adviser and knowledge worker

  • codification vs. personalization - the trade-off between capture and storage of explicit information and making connections to people that know.
  • exploration vs. exploitation - should you focus on gathering external information and buying (recruiting) expertise or capture internal best practices and grow local competencies?
  • practice vs. process - the balance between informal learning and strictly defined repeatable activties.
  • after action reviews (AARs) - learning by gathering participants after completion of a significant project, exploring, reflecting, recording advances and mistakes.
  • peer reviews - inviting colleagues who have experience of similar projects to share their tips, tricks and lessons learned before starting out.
  • knowledge mapping & audits - discovering opportunities, knowledge gaps and charting flows. A survey to understand where current knowledge is created and who needs it.
  • lessons learned (learning histories) - a systematic review of failures and successes conducted by a neutral party.
  • 'Ba' - a physical or virtual collaborative space, where participants feel safe and exchange insights.
  • induction (aka data mining) - searching for patterns, rules and interesting insights from collected (business) data.
  • source documents - collaborative scripts that set forth the intention and vision of the firm or group.
  • web standards & protocols - HTML, XML, XTM, RSS

meta-data reciprocity (principle of) web-conferencing blogging knowledge diffusion & sharing CRM - customer relationship management SCM - supply chain management auto-profiling classification stories helpdesks memes heuristics ontology (taxonomy / thesaurus / index) community - CoP, CoI, (facilitation, development, sustainability) group dynamics

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