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Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
Knowledge Maturing Model v3
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Knowledge Maturing Model v3

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  • 1. MATURE Continuous Social Learning in Knowledge Networks Knowledge Maturing Model v3 ( WP 1) UIBK, FZI 2 nd Annual Review May 5-6, 2010, Barcelona http://mature-ip.eu
  • 2. Main route year 2
    • Function of the model & procedure in year 2
    • Focussed state of the art analysis
    • Knowledge Maturing Model Landscape
      • Knowledge maturing indicators
      • Knowledge maturing activities
      • Guidance
      • Phase model v3
    • Conclusions & Outlook
    MATURE - Continuous Social Learning in Knowledge Networks
  • 3. Function of the model
    • Conceptual anchor for the project and multiple boundary objects between the different strands of research, development and evaluation activities
    • Framework for analysis of company contexts, for interventions and the assessment of their effects
    • Foundation for systematic design of supporting solutions
    MATURE - Continuous Social Learning in Knowledge Networks
  • 4. Process year 2 MATURE - Continuous Social Learning in Knowledge Networks
  • 5. MATURE - Continuous Social Learning in Knowledge Networks Focussed state of the art analysis
  • 6. Is knowledge maturing a process of continuous evolutionary change?
    • Christensen: dichotomy between sustaining and disruptive innovation
      • sustaining innovation corresponds to an evolutionary development of knowledge
      • disruptive innovation has as a prerequisite that you have built up a new strand of knowledge (i.e., “revolutionary” knowledge development) before becoming an innovation
    • Consequence:
      • Evolutionary support : functionality for easily changing things, collecting feedback and filtering of new ideas
      • Revolutionary support : creating rooms for new developments, not constrained by existing knowledge structures, starting again from scratch.
    MATURE - Continuous Social Learning in Knowledge Networks
  • 7. Is more mature always better?
    • Knowledge can enable and constrain effective action
    • More knowledge is better: a questionable assumption
    • Reflects a similar discussion on information
      • Information demand, logistics, overload, filtering (for action)
    • Sedimentation also has two sides
      • Increases confidence of knowledge workers, identify “solid knowledge rocks” out of the waves of transient knowledge
      • Increases core rigidity
    • Balancing by strategy & guidance
    • It is not more knowledge, but selected knowledge that is more mature that counts in our model.
    MATURE - Continuous Social Learning in Knowledge Networks
  • 8. What is the role of artefacts for knowledge maturing?
    • Boundary objects = “objects that both inhabit several communities of practice and satisfy the informational requirements of each of them”
      • requires robustness on the one side, but also interpretative flexibility
    MATURE - Continuous Social Learning in Knowledge Networks
  • 9. MATURE - Continuous Social Learning in Knowledge Networks The knowledge maturing model landscape
  • 10. Knowledge Maturing Criteria & Indicators MATURE - Continuous Social Learning in Knowledge Networks
  • 11. MATURE - Continuous Social Learning in Knowledge Networks
  • 12. Knowledge maturing indicators
    • operationalise the notion of knowledge maturing
      • how can we observe or assess knowledge maturing?
    • provide a basis for guidance activities in a closed-loop approach:
      • how can we systematically and traceably intervene into knowledge maturing with the help of guidance activities?
    • help shaping goals and measures in broader initiatives for knowledge management
      • how can we align interventions into knowledge maturing with the portfolio of management instruments already in use in an organisation?
    • Are based on context-dependent assumptions
      • no universal indicators, but a “construction kit”
    MATURE - Continuous Social Learning in Knowledge Networks
  • 13. Problems with Indicators v1
    • First version defined on the basis of the ethnographic studies
    • However:
      • Not clear what they actually measure and how it relates to knowledge maturing
      • Differentiation needed between
        • State-based (measuring maturity) and event-based (measuring maturing) indicators
        • Levels of granularity (knowledge maturing of a certain piece of knowledge vs. knowledge maturing processes in a company in general)
    MATURE - Continuous Social Learning in Knowledge Networks
  • 14. Criteria
    • Artefact-related
      • measure something related to any form of artefact
    • Individual capability-related
      • individual’s experience, competence, or knowledge.
    • Sociofact-related
      • quality of social interaction or meta-competencies on a collective level
    • Alignment of artefacts and cognifacts.
      • aligning the maturity or formality of artefacts with the maturity of the cognifacts, avoiding over- and under-formalization.
    • Impact & Results.
      • measure maturity of knowledge through the output it generates
    MATURE - Continuous Social Learning in Knowledge Networks
  • 15. Artefact-related MATURE - Continuous Social Learning in Knowledge Networks
  • 16. Sociofact-related MATURE - Continuous Social Learning in Knowledge Networks
  • 17. Guidance MATURE - Continuous Social Learning in Knowledge Networks
  • 18. MATURE - Continuous Social Learning in Knowledge Networks
  • 19. Guidance
    • any influence on the direction (“goal”) or the quality of knowledge maturing processes by entities not directly involved in them .
    • can range from
      • an unintended “influence” (e.g., via the mere existence of artefacts)
      • via explicit shaping of context conditions (e.g., giving room for collaboration, recommendation of artefacts)
      • up to direct interventions into the setting of goals or even operational procedures (e.g., decisions on what to pursue and what to discard, prescription of artefacts).
    • not limited to persons as the “guiding” entity
    MATURE - Continuous Social Learning in Knowledge Networks
  • 20. Forms of guidance
    • Artefact-based guidance
      • Awareness of existence
      • Legitimation, commitment
      • Quality and usefulness
      • Level of formality
    • Sociofact-based guidance
      • Culture
      • Collaboration and communication structures
      • Shared practices
    • Managerial guidance
      • Setting goals and thus giving priority
      • Shape work environment and work organisation
      • Organise and coach learning processes
    MATURE - Continuous Social Learning in Knowledge Networks
  • 21. Knowledge Maturing Phase Model MATURE - Continuous Social Learning in Knowledge Networks
  • 22. MATURE - Continuous Social Learning in Knowledge Networks
  • 23. Phase Model v3
    • Splitting an instructional and an experimental path (major strands from interviews)
    • Separating large-scale roll-out from the standardisation phase without necessarily a wider standardisation (major need for clarification in the interviews)
    • Institutionalization has two perspectives:
      • external (black box; output specification, service, product)
      • internal perspective (white box; process, practice, roles, responsibilities, feedback mechanisms etc.)
    MATURE - Continuous Social Learning in Knowledge Networks
  • 24. MATURE - Continuous Social Learning in Knowledge Networks
  • 25. Conclusions MATURE - Continuous Social Learning in Knowledge Networks
  • 26. Summary
    • Improved understanding through theoretical work as well as reflection in empirical work
    • Take-up of experiences made with demonstrators
    • Major extension of the Knowledge Maturing Model into a Landscape of Models
    • Refining of Concepts of Knowledge Maturing
    • Impact on Coordination of Year 3 Activities
      • Prototype development
      • Evaluation
      • In-depth Study
      • Conceptual refinement of KMMM
    MATURE - Continuous Social Learning in Knowledge Networks
  • 27. Advancing the state of the art
    • Knowledge maturing model landscape provides a unique system for
      • Analysing knowledge development processes and their existing barriers (motivational, organisational etc.)
      • Identifying key activities to improve
      • Designing socio-technical systems intending to overcome barriers
      • Making knowledge maturing and the effects of intervention measurable
      • Linking knowledge maturing to other organisational functions
    MATURE - Continuous Social Learning in Knowledge Networks
  • 28. Future plans
    • Guidelines for knowledge maturing support
    • Alignment of KM indicators with standard reporting system (KPIs)
    • Consideration of complementary initiatives, such as innovation management, quality management, high performance management
    • Interventions and levers as proposals for guidance activities
    MATURE - Continuous Social Learning in Knowledge Networks

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