KM Cycle
Rote Learning
 Rote learning is a memorization technique based on
 repetition. The idea is that one will be able to quickly
 recall the meaning of the material the more one repeats
 it.
 Some of the alternatives to rote learning include
 meaningful learning, associative learning, and
 active learning.
KM Cycle
 Knowledge management cycle is a process of
 transforming information into knowledge within an
 organization.
 It explains how knowledge is captured, processed, and
 distributed in an organization.
KM Cycle
 Knowledge Management Cycle, Source: McIntyre, Gauvin and Waruszynski, 2003
Major KM Cycles
  1.   Meyer and Zack KM Cycle
  2.   Bukowitz and Williams Cycle
  3.   McElroy KM Cycle
  4.   Wiig KM Cycle
Meyer and Zack KM Cycle
 KM Cycle processes are composed of
   Technologies
   Facilities
   Processes of manufacturing products and services
 Information products are repositories comprising
 information content and structure , which is unique for
 each organization
Meyer and Zack KM Cycle (Contd..)
 Information content is the data held in the repository
 that provides the building blocks for the resulting
 information products
     such as banks have content relating to personal
    and commercial accounts
 The major developmental stages of a knowledge
 repository and mapped these stages onto a KM cycle.
Meyer and Zack KM Cycle (Contd..)
         Product Platform                           Product Family
   S                                                                          U
   o                                               Content                    S
   u       Repository                              Packaging format           e
   R       Content                                 Access Distribution        r
   c       Structure                               Interactivity              s
   e
   s
   Acquisition    Refinement   Storage Retrieval   Distribution      Presentation
Meyer and Zack KM Cycle (Contd..)
  Stage 1: Acquisition
 1. Acquisition deals with origin of raw material
    Scope
    Breadth
    Depth
    Credibility
    Accuracy
    Timeliness
    Relevance
    Cost
    Control
    Exclusivity
      The guiding principle is that, highest quality source data is required,
      else the intellectual products produced downstream will be lower.
Meyer and Zack KM Cycle (Contd..)
  Stage 2: Refinement
 2. Refinement may be
    physical (like migrating from one medium to another) or
    logical (like restructuring, relabeling, indexing and integrating).
 Refining includes
   cleaning up (like sanitizing content so as to ensure complete
   anonymity of sources and key players involved or
   Standardizing(like conforming to templates of a best practice
   or lessons learned as used within that particular organization.
    This stage also adds up to the value by creating more readily
    usable knowledge objects and by storing the content more
    flexibly for future use.
Meyer and Zack KM Cycle (Contd..)
  Stage 3: Storage
 3. Storage and retrieval forms a bridge between the upstream
    addition and refinement stages that feed the repository and
    downstream stages of product generation.
     Storage can be physical
         Files, folders, printed information
      As well as digital
         Database, knowledge management software
Meyer and Zack KM Cycle (Contd..)
  Stage 4: Storage & Distribution
 4. Distribution defines how the product is to be delivered to the
    end-user like
    Fax ,Print, e-mail
    It not only encloses the medium of delivery but also time,
    frequency, form and language, and so on..
Meyer and Zack KM Cycle (Contd..)
 Stage 5: Presentation
  Context plays an important role in presentation or application
   stage. The performance of each of the preceding value-added
   steps is evaluated here – for example,
    does the user have enough context to be able to make use
       of this context?
  If not, the KM cycle has failed to deliver value to the individual
   and ultimately to the company.
     Eg: A Basic Database may represent an example of
      knowledge that has been created. Value can then be added
      by extracting Trends from this data.
Bukowitz and Williams KM Cycle
Bukowitz and Williams KM Cycle
 Get
  Seeking out information
      Tacit and explicit
      Being selective when faced with information overload
 Use
  Combine content in new and interesting ways to foster
    innovation in the organization
 Learn
  Learning from experiences
     Creation of an organizational memory
Bukowitz and Williams KM Cycle (Contd..)
 Contribute
  Motivate employees to post what they have learned to a
    knowledge base
     Link individual learning and knowledge to organizational
        memory
 Assess
  Evaluation of intellectual capital
     Identify assets, metrics to assess them and link these
        directly to business objectives
     Eg: A Basic Database may represent an example of
      knowledge that has been created. Value can then be added
      by extracting trends from this data.
Bukowitz and Williams KM Cycle
 Build
  Allocate resources to maintain knowledge base
      Contribute to viability, competitiveness
 Divest
  Should not keep assets that are no longer of any business value
     Transfer outside the organization
     E.g. outsourcing
     Patent, spin-off companies,…etc
McElroy KM Cycle
                   Source: McElroy(1999)
Wiig KM Cycle
  Processes by which we build and use knowledge
   As individuals
   As teams(communities)
   As organizations
  How we
   Build knowledge
   Hold knowledge
   Pool knowledge
   Apply knowledge
   Discrete tasks yet often
     interdependent ¶llel
Wiig KM Cycle
                       Personal experience
                       Formal education and training
  Build Knowledge
                       Intelligence sources
                       Media, Books, Peers
  Hold Knowledge       In people
                       In tangible forms(books)
                       In KM systems(intranets, dbase)
  Pool Knowledge       Groups of people-brainstorm
  Use Knowledge
                       In word context
                       Embedded in work process
Building Knowledge
Learning from all kinds of sources to;
   Obtain knowledge
   Analyze knowledge
   Reconstruct(Synthesize) knowledge
   Codify and model knowledge
   Organize knowledge                                  Obtain
                                         Organize                     Analyze
                                               Codify            Reconstr
                                              &Model               uct
Holding Knowledge
In people’s minds, books, computerized knowledge bases, etc.,
   Remember knowledge-internalize it
   Cumulate knowledge in repositories(encode it)
   Embed knowledge in repositories(within procedures)
   Archive knowledge
     Create scientific library, subscriptions
     Retire older knowledge from active status in repository
        (e.g. store in another medium for potential future retrieval -CD ROMs,
        etc)
                    Remember     Cumulate     Embed
                                  Archive
Pooling Knowledge
  Can take many forms such as discussions, expert networks and
   formal work teams
  Pooling knowledge consists of:
  Coordinating knowledge of collaborative teams
  Creating expert networks to identify who knows what
  Assembling knowledge-background references from libraries
   and other knowledge sources
  Accessing and retrieving knowledge
    Consult with knowledgeable people about a difficult
      problem, peer reviews, second opinions
    Obtain knowledge directly from a repository-advice,
      explanation
Using Knowledge
 Synthesize alternative solutions, identify options, create new
  solutions
 Evaluate potential alternatives, appraise advantages and
  disadvantages of each, determine risks and benefits of each
 Use knowledge to decide what to do, which alternative to select
   Rank alternatives test the extent of feasibility, and
      acceptability
   Implement selected alternative
       Choose and assemble tools needed
       Prepare implementation plan, distribute it, authorize
         team to proceed with this solution
Using Knowledge-examples
  Expert mechanic encounters new problem
  Gathers information to diagnose and analyze
  Synthesizes a list of possible solutions with the tools he knows
   are available to him
  Decides on the best option and uses it to fix the part
  Non-routine tasks are approached in a different way than
   familiar, standard one.
Integrated KM Cycle
  Proposed by Kimiz Dalkir
KM Cycle Models -Comparison
KM Cycle Models -Comparison
                         Source: Integrated KM Cycle, Dalkir 2011
Five critical Knowledge Functions for each KM
Cycle Step
  Type of knowledge or skill involved
       Securities trading expertise
  Business use of that knowledge
       Increase the value of retirement portfolio
  Constraints that prevents knowledge from being fully utilized
       Expert will retire at the end of the year with no successor
  Opportunities and alternatives to manage tacit knowledge
       Elicit and codify knowledge before person retires
  Expected value added of improving the situation
       Valuable knowledge is not lost to organization
Class Activity No: 6
(KM Cycle)
Example 1
Lessons Learnt in KM Cycle
Views of students