Knowledge networks
description
Transcript of Knowledge networks
KNOWLEDGE NETWORKS
Shahzeeb AkhtarGoethe-University Frankfurt, Germany
Agenda
1. Conceptual Work2. Knowledge and its Forms3. Learning and Innovation4. Communities and Networks5. Knowledge and Problems6. Implementation
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?“
2. Knowledge and its Forms
Codified vs. non-codified knowledge Possessed vs. practised knowledge Individual vs. collective knowledge Genereral vs. specific knowledge
Acknowledgement of Knowledge in Organizations
Knowledge = Accumulation of information? Can every knowledge be codified? Knowledge only on individual basis? Is there only possessed knowledge?
Structures of Knowledge transfer
Formalized structure Informal structure Infrastructure
3. Learning and InnovationRelationship between Knowlegde, Learning
and Innovations
Active knowledge exchange Learning effects (create new knowledge) Innovations (by new possible combinations)
Individual learning – in „Routines“
Talent Intelligence Intensity Discipline
Collective learning – in „Communities“
Learning based on engagement Learning based on alignment Learning based on imagination
The Johari Window
„Seven Cs of Effective Communication“
Completeness Conciseness Consideration Concreteness Correctness Courtesy Clarity
Innovations
„Sparks of Innovation are triggered by the confrontation, combination, fusion, transformation of different forms of knowledge.“
Amin/Cohendet, Architectures of Knowledge (2004)
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)
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
Embedding knowledge in networks
Relational Embeddedness: 2 actors, development of trust
Structural Embeddedness: Several actors, development of reputation among others
Network structures
Open networks (not everyone is connected to each other)
Closed networks (everyone is connected to each other)
5. Knowledge and Problems Transfering knowledge over spatial
distances Knowledge bound to persons Opportunism Moral hazard Political behavior
Nash-Pareto-Problem
Pareto-Equilibrium Nash-Equilibrium Nash-Pareto or Pareto-Nash
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
Implementing a social network for knowledge transfer is likely to avoid:
Opportunism Politics Misunderstandings
by interaction
Using a proper implemented knowledge network leads to higher productivity through
Saving Extending Governing Sharing
Knowledge
Thank you for your attention!