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Knowledge Organizations What are they? How do they work? Dr. Mark Fruin Bus 290/291 From Jay Liebowitz & Tom Beckman, Knowledge Orgs, CRC Press, 1998.
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Knowledge Management Processes Develop New Knowledge (R&D) Acquire/appropriate New & Existing Knowledge Distribute Knowledge Combine Available Knowledge
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Knowledge Management Processes Are Expensive Require Knowledge Managers Are often highly Political Sharing & Using Knowledge are often atypical acts Require hybrid solutions involving People and Technology
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Knowledge Transformations Inputs --> Data Data --> Information (thru context & meaning) Information --> Knowledge (declarative & procedural knowledge; know what & know how) Knowledge --> Expertise (optimizes performance under resource constraints) Expertise --> Capability (organization is changed by knowledge management systems)
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Knowledge Management Processes Involve corporate culture Organizational culture must place a high value on opinions & wishes of customers Organizational culture must reward initiative and innovation Top management must communicate the importance of Knowledge Management Top management must reward values and behaviors that promote KM
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Intellectual Capital Concepts Enterprise = Tangible Assets + IC Corporate Sustainability = IC & IC Mngmt Intellectual Property is a Corporate Asset Knowledge-rich employees enhance Corporate Value Protect & grow Core Competencies IC needs multidisciplinary teams Grow IC for the Future
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Knowledge Management Process Identify > Collect > Select > Store > Share > Combine > Anneal > Apply > Sell/License Both External & Internal Sources are Crucial –External: publications, industry experts, competitive intelligence, market feedback, environmental scanning, internet –Internal: domain experts, organizational assessment, process modeling, training & education, suggestions, documentation of process/teamwork, PDCA cycle
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LEARNING & KM Self Learning Individual Learning Team Learning Organizational Learning –solve problems –experiment with new ideas and routines –learning from mistakes –identify best practices –learn to transfer knowledge
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Modeling Knowledge Case-based Reasoning –enumerate alternatives –build toward domain knowledge Rule-based Systems –rules of thumb that are abstracted and generalized –experts available to elicit rules & heuristics Model-based Reasoning –represent large-scale, complex systems –knowledge elicitation, acquisition & application are represented & modeled
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Knowledge Repositories (w/i & between organizations Directories of knowledge sources & skill sets Procedures, principles & guidelines Standards, protocols & policies Decision rules, performance measures Best practices, competitive intelligence Products & services: features, functionality, pricing, sales, repair records
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CENTERS of EXPERTISE Domain Knowledge Repositories Create, research, improve & manage Set & enforce standards, methods & practices Establish partnerships, align interests, negotiate conflicts Assess capabilities & competencies Support, develop & enable domain knwldg wrkrs
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