Knowledge networks
description
Transcript of Knowledge networks
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KNOWLEDGE NETWORKS
Shahzeeb AkhtarGoethe-University Frankfurt, Germany
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Agenda
1. Conceptual Work2. Knowledge and its Forms3. Learning and Innovation4. Communities and Networks5. Knowledge and Problems6. Implementation
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1. Conceptual Work Master´s thesis (2007) in the field of
Economic Geography with the topic
„How do corporations in quickly changing and knowledge intensive service sector environments optimize their information- and knowledge flow?“
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2. Knowledge and its Forms
Codified vs. non-codified knowledge Possessed vs. practised knowledge Individual vs. collective knowledge Genereral vs. specific knowledge
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Acknowledgement of Knowledge in Organizations
Knowledge = Accumulation of information? Can every knowledge be codified? Knowledge only on individual basis? Is there only possessed knowledge?
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Structures of Knowledge transfer
Formalized structure Informal structure Infrastructure
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3. Learning and InnovationRelationship between Knowlegde, Learning
and Innovations
Active knowledge exchange Learning effects (create new knowledge) Innovations (by new possible combinations)
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Individual learning – in „Routines“
Talent Intelligence Intensity Discipline
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Collective learning – in „Communities“
Learning based on engagement Learning based on alignment Learning based on imagination
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The Johari Window
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„Seven Cs of Effective Communication“
Completeness Conciseness Consideration Concreteness Correctness Courtesy Clarity
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Innovations
„Sparks of Innovation are triggered by the confrontation, combination, fusion, transformation of different forms of knowledge.“
Amin/Cohendet, Architectures of Knowledge (2004)
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Learning by searching (in an organizational search)
Learning by doing and learning by using (in a trial-and-error experimentation)
Learning through training and learning by hiring (external job rotation)
Learning by interacting(social processes within a group)
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4. Communities and NetworksNonaka´s 4-step model of knowledge generation
in „Communities of Practice“
1. Non-codified knowledge is shared among each other while socializing
2. Through articulation, non-codified knowledge becomes codified
3. New codified knowledge becomes standardized by combining it with the old
4. Codified knowledge becomes non-codified by using it and getting used to it
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Embedding knowledge in networks
Relational Embeddedness: 2 actors, development of trust
Structural Embeddedness: Several actors, development of reputation among others
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Network structures
Open networks (not everyone is connected to each other)
Closed networks (everyone is connected to each other)
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5. Knowledge and Problems Transfering knowledge over spatial
distances Knowledge bound to persons Opportunism Moral hazard Political behavior
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Nash-Pareto-Problem
Pareto-Equilibrium Nash-Equilibrium Nash-Pareto or Pareto-Nash
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6. ImplementationImplementing a network like Wikipedia and
MindManager will avoid problems like:
Spatial distances – technical networks Moral Hazard – information ubiquitious Existance of too much non-codified
knowledge – feeding the knowledge base
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Implementing a social network for knowledge transfer is likely to avoid:
Opportunism Politics Misunderstandings
by interaction
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Using a proper implemented knowledge network leads to higher productivity through
Saving Extending Governing Sharing
Knowledge
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Thank you for your attention!