1. Identifying and Capturing Knowledge from Networked Knowledge Spaces: Theoretical Insights and Applications Amritesh and Runa Sarkar Indian Institute of Technology, Kanpur Tampere October, 2008

2. Introduction Perspectives on KM –Knowledge –Management Network Models –Cognitive Network –Community Network –Transformation during Transfer –The SECI knowledge spiral Significance of ICT in Networking Nature and form Knowledge space Transmission network ICT support

3. Outline Introduction Understanding the ‘presence of knowledge’ Embodiment of knowledge in social spaces Mapping – formal and informal networks Application: knowledge management in ReFEAR-ICTKM Conclusion WP11.3 Objectives create a typology of network structures among ‘knowledge-actors’; use insights from literature to identify a suitable ‘soft’ architecture for a DE Compare ‘knowledge’ b/w commissioned and contributed content

4. Identifying Knowledge…1 Social/Mental Constructs –Embodied state –Steps of operation

5. Identifying Knowledge…2 Embedded in the form of Ownership Construction and Sharing –Inherently a social process, learner constructs meaning through info exchange and interaction –Needs favourable knowledge spaces!

6. Identifying Knowledge Spaces Tacit Spaces –Individual Minds –Knowledge Communities –Products –Organizational Practices Explicit Spaces –Codified Documents

8. Identifying Knowledge Spaces Social Spaces (of K-Construction ) –CoP, CoS, Knowledge Communities –Transformation Spaces [S-E-C-I] Mapping of Social Spaces with Network Spaces [ICT integration] –Nodes [Internalization/Externalization] –Links [K-Flow and Transformation] Actors & Relationships

9. Activity-Space NodesLinks  Origination  Creation/ Construction  Emission  Absorption  Adoption/ Adaption  Application  Accession  Transmission  Sharing  Transformation (Socialization, Externalization, Combination and Internalization )

10. Networking K-Spaces Type of Communication across the Network –One way [Arrow Approach] (effective expression) Participation Technology –Two way [Circuit Approach] (good understanding) Accessibility Absorptive capacity Networks: A source of Efficient Collaboration Type of Social Networks –Mechanistic/Formal –Organic/Informal

11. Mechanistic/FormalOrganic/Informal Conditions Stable, ConsistentChanging, Creative Network Nodes Highly Specialized, Independent Interdependent Links Depending upon functional relationship, Static Continuous adjustments through interaction, dynamic Structure Vertical Hierarchic,Lateral Hierarchic, Sharing ContractualTrust Location of Knowledge Reinforced at the hierarchic positions Spread everywhere in the network Knowledge representation Static, Pre-specifiedDynamic, Constructed Flow Control ComplianceCommitment Outcomes Pre-specifiedInnovative

12. Application: NAIP-KM network Creating a Hybrid Network Mutuality and Common Interests Integration Support by ICT Network Segmentation and Nature of Contribution –Content Community: Explicit Knowledge Participation Accessibility (technology) –Target Community: Tacit Knowledge Assimilation Dissemination Accessibility (social)

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21. Application: NAIP-KM network Power Distribution and Creation of Hierarchy –Monitoring & Control by Content Community –Uses by target community Facilitating the two way communication –Inclusive Learning –Participative Sharing of Knowledge

22. The Proposed Knowledge Sharing Network

23. We are attempting an ICT enabled Integration of Knowledge Spaces and Social Spaces By providing a suitable Communication Infrastructure So as to form a A connected Society of agriculture actors And gradually move it From Isolation to Awareness From Mechanistic to Organic To support knowledge sharing dissemination, growth and innovation, while keeping the social fabric intact

24. Thank You