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CONCLUSIONS   241

                            were highlighted as relying almost entirely on codified knowledge and their
                            professional working practices ensure that what is codified is as unambiguous
                            as possible. In so doing the law generates vast quantities of codified knowl-
                            edge that takes the form of legislation and judgements which are subsequently
                            applied and revised over time.
                              Codified knowledge may also be more applicable where the objective of
                            knowledge sharing is the creation of a tangible entity (e.g. in product innovation
                            projects – see Chapter 9). For example, in the Buckman Labs case (Chapter 6),
                            the sharing of knowledge about pitch-control strategies was possible because the
                            knowledge effectively became codified and embodied in the technology itself.
                            This knowledge was then able to be shared across the global organization, at
                            least among people with a basic understanding of the technology. Similarly, and
                            using an example closer to many people’s experience, knowledge about how to
                            use Windows software applications (e.g. the ability to open, save, edit and drag
                            files) is effectively codified and communicated in the form of technology itself.
                            This embodies strict rules over what actions are permissable, or advisable, and
                            we are reminded of these in very explicit ways – for example, with error mes-
                            sages, beeps and ‘helpful’ paperclips and dogs. In other words knowledge on
                            how to use the technology (or product) is effectively codified into the design of
                            the technology (or product). This means that, once users learn the basic codes
                            for operating in a Windows environment, they can learn new Windows applica-
                            tions relatively quickly.
                              Figure 10.2 below summarizes the discussion in the previous four sections.



                                Important aspects of  Knowledge process
                                the enabling context
                                                    K Create  K Integrate  K Share  K Codify
                                Self-formed and
                                managed teams
                                Time
                                Diversity
                                Strong psychological
                                contract
                                Shared identity
                                Trust
                                Networking
                                Boundary objects
                                Boundary spanners
                                Social capital
                                Shared perspective
                                Common language
                                Tangible output


                             Figure 10.2  The most important aspects of the enabling context supporting the four
                                                   major knowledge processes









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