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The Knowledge Management Cycle                                         33



                   Table 2.1
                 A comparison of key KM cycle processes

                                                                   Bukowitz and       Meyer and
                   Wiig (1993)     McElroy (1999)     Rollet (2003)    Williams (2000)    Zack (1996)

                 Creation      Individual and group     Planning  Get        Acquisition
                               learning
                 Sourcing      Knowledge claim       Creating  Use           Refi nement
                               validation
                 Compilation   Information acquisition     Integrating  Learn  Store/retrieve
                 Transformation  Knowledge validation     Organizing  Contribute  Distribution
                 Dissemination  Knowledge integration     Transferring  Assess  Presentation
                 Application                       Maintaining  Build/sustain
                 Value realization                  Assessing  Divest



                 Major Approaches to the KM Cycle

                 The Meyer and Zack KM Cycle
                 The Meyer and Zack KM cycle is derived from work on the design and development
               of information products ( Meyer and Zack 1996 ). Lessons learned from the physical
               products cycle can be applied to the management of knowledge assets. Information
               products are broadly defi ned as any information  sold  to internal or external custom-
               ers such as databases, news synopses, customer profi les, and so forth. Meyer and
               Zack ( 1996 ) propose that research and knowledge about the design of physical
               products can be extended into the intellectual realm to serve as the basis for a KM
               cycle.
                    This approach provides a number of useful analogies such as the notion of a product
               platform (the knowledge repository) and the information process platform (the knowl-
               edge refi nery) to emphasize the notion of value-added processes required in order to
               leverage the knowledge of an organization. The KM cycle consists primarily of creating
               a higher value-added  knowledge product  at each stage of knowledge processing. For
               example, a basic database may represent an example of knowledge that has been
               created. Value can then be added by extracting trends from these data. The original
               information has been repackaged to now provides trend analyses that can serve as the
               basis for decision making within the organization. Similarly, competitive intelligence
               can be gathered and synthesized in order to repackage  raw  data into meaningful,
               interpreted, and validated knowledge that is of immediate value to users, that is, it
               can be put into action directly. Yet another example is a news gathering service that
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