Social Software in Knowledge Management of Organizations
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Presentation given on November 21, 2008 at Tallinn University in Tallinn, Estonia

Presentation given on November 21, 2008 at Tallinn University in Tallinn, Estonia

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Social Software in Knowledge Management of Organizations Presentation Transcript

  • 1. Ralf Klamma RWTH Aachen University Tallinn, November 21, 2008 Social Software in Knowledge Management of Organizations http://beamtenherrschaft.blogspot.com
  • 2. Agenda
    • Motivation
    • Social Software for Knowledge Management
    • Communities of Practice aware Knowledge Management
    • Innovative Networking Tools
    • Conclusions and Outlook
  • 3. Turning your organizational data into competitive advantage Community-Data Social Network Analysis based Knowledge Management Competititive Advantage
  • 4. Social Software Second Life 7 WOW 70 MySpace 171 Skype 120 MSN Space 11 LiveJournal 4 Wikipedia 3 Second Life Users (in Millions, by the end of 2006) Social Software
    • Data is the Next Intel Inside -> Unique data
    • Users Add Value -> no restrictions, Inclusive
    • Network Effects by Default -> Collective Intelligence
    • Some Rights Reserved
    • -> Standards, Remix
    • The Perpetual Beta -> Smaller modular Components
    • Cooperate, Don't Control -> Light Web Services, Loose Syndication of data and systems (RSS, Mash-ups)
    • Software Above the Level of a Single Device
    • -> Software mobile and ubiquitous
    • The Long Tail -> Small Communities
    O‘Reilly: What is Web 2.0?, 2005
  • 5. Web 2.0 Knowledge Management Emergent Metadata Collective intelligence Wisdom of the Crowd Collaborative Filtering Visualizing Knowledge Networks Ranking Sense-making Remixing Aggregation Embedding Tagging ("folksonomy") and syndication directories (taxonomy) and stickiness Social learning Identifying competences Emergent Collaboration Trust & Social capital Microcontent Providing commentary Personal knowledge publishing Establishing personal networks Testing Ideas blogging and wikis User generated content Participation personal website and content management Web 2.0 Web 1.0 Impact on Professional Communities Impact on Knowledge Work Cultural and Technological Shift by Social Software
  • 6. Communities of practice
    • Community of practice (CoP) as the basic concept for human collaboration and learning
    • Communities of practice are groups of people who share a concern or a passion for something they do and who interact regularly to learn how to do it better
    Wenger: Communities of Practice: Learning, Meaning and Identity, 1998
  • 7. Components of social theory of learning Learning as doing Learning as experience Learning as belonging Learning as becoming Community Practice Meaning Identity Wenger, E. (1998). Communities of practice: Learning, meaning, and identity . Learning
  • 8. Features of CoP
    • Situated Learning
      • Learning is a function of the activity, context and culture in which it occurs (i.e. it is situated)
    • Informal and Co-located
      • The gradual acquisition of knowledge and skills learned from experts in the context of their everyday activities
    • Group Knowledge
      • Knowledge is mediated through social interaction and collaboration in the group
    • Legitimate Peripheral Participation (LPP)
      • Novices move from peripheral to full participation as they gain legitimacy in the group
  • 9. CoPs and the world of work
    • Wenger (1998) studied a CoP in a large insurance company and identified two key processes in CoPs: participation and reification.
    • Participation
      • “ ... the social experience of living in the world in terms of membership in social communities and active involvement in social enterprises” (p 55 )
    • Reification
      • “ ... the process of giving form to our experience by producing objects that congeal this experience into thingness” (p 58)
  • 10. CoPs and Work
    • A CoP is now defined in terms of:
    • What it is about
      • The activity/body of knowledge that the community has organized itself around - a joint enterprise
    • How it functions
      • How people are linked through their involvement in common activities - mutual engagement
    • What it produces
      • The set of resources the members of a CoP build up over time - their shared repertoire
  • 11. Interaction in Cooperative Knowledge Processes
    • C ommunity o f P ractice ( CoP )
      • Participation
      • Reification
    • Knowledge Management ( KM ) in form of CoP
      • Turning utterances and data into needs and knowledge
      • Finding out what is really happening in your organization
    • Community-Awareness
      • A key way to cultivate CoP
      • Should be maintained and kept up to data
    • Question: How can we foster community-aware knowledge management?
  • 12. Community-Awareness
    • Community-Awareness: Knowing what is going on in community of practice
    • The Community-Awareness Framework (adapted from [GuGr02] )
    • SNA views social network in terms of nodes and ties [WaFa94]
      • Nodes: the individual actors within the networks
      • Ties: the relationships between the actors
  • 13. Bubble Annotation Tool BAT: Knowledge Management with Fun Doctorial Seminar
  • 14. PALADIN: Pattern Based Dynamic Social Analysis Doctorial Seminar
  • 15. Competences in Social Networks a) Technical Star b) Organizational Star Figure: MIT Sloan School Review
  • 16. Diving in the organizational data pool Doctorial Seminar Community Mining Media Mining Process Mining
  • 17. DABA: Driving the Organizational Knowledge Management Bus
    • Research different dashboard engines
    • Determine content of DABA
      • Investigate elements of community-awareness
      • Select SNA methods
    • Design widgets and dynamic activities between them
    • Dashboard prototype
  • 18. Conclusions and Outlook
    • Communities of practice as source for community-aware Knowledge Management
    • Innovative Tools for turning data into knowledge
      • Bubble Annotation Tool
      • PALADIN
      • BaDa: A Dashboard for Organizational Knowledge Management
    • Case Studies with the tools in the near future