introduction to knowledge management © ed green penn state university all rights reserved
TRANSCRIPT
Knowledge Management Topics
Why is knowledge management relevant?Definitions
Knowledge Knowledge management Knowledge management
systems
Relationships (to other disciplines)Why is knowledge management valued?History of knowledge management; state of the practice
Key knowledge management driversWhat are the objectives of knowledge management?Key technologies to achieve knowledge managementKnowledge management life cycleImportant references
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Relevancy of Knowledge Management
Contemporary business success depends on knowledgeKnowledge is a business asset to be managedKnowledge is a collection of experiences gained over timeKnowledge from the past guides actions of the future
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Important Definitions
Knowledge – the sum of what is known; the set of experiences and data collected by an enterprise over timeKnowledge Management – the collective set of (multi-disciplined) actions taken by an enterprise to collect, creating, preserve, sharing, and protect organizational knowledge in furtherance of business objectivesKnowledge Management System – an organized (automated or semi-automated) set of processes and procedures to capture, store, preserve and retrieve organizational knowledge (manage the knowledge asset)
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Viewing Knowledge Management
People – increasing the ability of an individual to influence others with knowledge Process – the methods and/or techniques used by people to share knowledgeTechnology – the tools used by people to execute the processes that share knowledge
Culture – the degree to which the organizational culture supports the conduct of knowledge-based operationsStructure – the fundamental organizational structures to support knowledge sharingTechnology – the use of available capabilities to enable knowledge sharing
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Relationship of Knowledge Management to Other
Disciplines
Cognitive scienceExpert systems/artificial intelligenceGroupwareLibrary and information scienceTechnical writing’Document/records managementDecision support systemsSemantic networks
Relational and object database management
Simulation
Organizational science
Object-oriented information modeling
Electronic publishing, hypertext, and the Internet
Full text search/retrieval
Performance management systems
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Brief History of Knowledge Management; State of the
Practice
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1970 1980 1990 2000 2010 2020
2013
• Drucker – information and knowledge as organizational resources
• Senge – “learning organization”• Leonard-Barton – knowledge management
strategy case study
• Emergence of knowledge asa competitive asset
• Professional competence in understanding knowledge
• Realization – knowledge management relied on artificialintelligence and expert systems
• Appearance of published research
• In-house knowledge management programs• Knowledge management appears in “popular
press”• 1994 – Knowledge Management Network• 1995 – Nonaka/Takeuchi The Knowledge Creating
Company: How Japanese Companies Create theDynamics of Innovation
• Management consulting practices – major firms
• High state of growth – early adopters – business and legal services
• Substantial benefits documented• Evolving business area
Value of Knowledge Management
Foster innovation; foster free flow of ideasImprove decision makingImprove customer service
Streamline response time Increase MTBF Shorten MTTR
Increase top-line (revenue) and bottom-line (profit) performance through improved time to market and improved competitive positioningReduce attrition; improve employee retention rates through by recognizing and rewarding the value of employee’s knowledgeStreamline operations and reduce costs; eliminate redundant and/or unnecessary operations
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Knowledge Management Drivers
Knowledge attrition Voluntary and involuntary turnover
Knowledge merging; communications challenge Natural evolution of business organizations Increasing globalization Conflicting knowledge models
Content management Digitally stored knowledge in naturally incompatible
media/formats Non-digitally stored materials – formal and informal; physical and
non-physical
Sheer volume of information and knowledgeElectronic learning; training requirements
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Knowledge Management Constituents
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CONNECTING (PEOPLE) & PERSONALIZATION•Community & learning•Directories (expertise locators)•Findings & facilitating tools•Groupware•Response teams(HARNESS)
•Cultural support•Spaces
• Libraries & lounges• Literal• Virtual
•Travel & meeting attendance(HYPOTHESIZE)
COLLECTING (STUFF) AND CODIFICATION•Databases (external & internal•Content Architecture•Information Support Services
• Training required•Data mining best practices•Lessons learned•After action analysis(HARVEST)•Cultural support •Current awareness & databases
•Item selection for altering•Data mining best practices(HUNTING)
Directed information &Knowledge search
Exploit
Serendipity &Browsing
Explore Source: Michael E. D. Koenig, What is KM? KnowledgeManagement Explained
Knowledge Management Objectives
Improve/enhance internal collaborationImprove/enhance external collaborationCapture/record/share best practicesImprove customer relations and its managementCompetitive intelligenceBetter document and protect proprietary items
Create improved project workspaces and their managementEnhance marketing and advertising, especially on the web and other social media outletsDocument/record/enhance transactional business processesManage legal property such as patents and brands
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Knowledge Management Technologies
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Knowledge Management Technologies
Knowledge Management Technologies
WorkflowWorkflow
GroupwareGroupware
ExtranetsExtranets
IntranetsIntranets
ProjectManagement
ProjectManagement
WebConferencing
WebConferencing
DocumentManagement
DocumentManagement
DataWarehouse
DataWarehouse
DecisionsSupport
DecisionsSupport
• DBMS• OLAP
RecordsManagement
• Skype• Go to Meeting• Shared View
Knowledge Management Life Cycle
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Start
Knowledgeacquired
Knowledgeapplied
Knowledgedistributed
Organizational memory formed
• Intranet• Extranet• Groupware• Conferencing• Document
management
• Refine, organize, and store knowledge using
• Structured stores• Databases• Data warehouses• File formats
• Education• Training programs• Automated systems• Expert networks
• Expert systems• Decision support systems
Workflow Project Management
Types of Knowledge
Explicit – information or knowledge that is set out in tangible form (physical)Implicit – information or knowledge that is not set out in tangible form but could be made explicit (derivable)Tacit – information or knowledge that would be extremely difficult (operationally) to make explicit (implied)
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Operational Constituents of Knowledge Management
Enterprise data and information available to authorized members
Portals Content Management Systems (CMS)
Lessons Learned databases/systems Operational experiences Capture knowledge embedded in persons; make explicit
Expertise Locators – “yellow pages” or “411.com” directory
Where is the knowledge, data, information, and/or expertise to be found?
Communities of practice – teams dedicated to establishing the management of enterprise knowledge
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Knowledge Management – Stages of Development
First stage – information technology Evolution of capabilities
Software Hardware
Emergence of the InternetSecond stage – human resources and corporate culture
Changing traditional methods and processes Engaging employees
Third stage – taxonomy and content management Structure development Collecting knowledge/data/information (facts) Populating the structure with collected facts
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Initial References
http://www.unc.edu/~sunnyliu/inls258/Introduction_to_Knowledge_Management.htmlhttp://www.kmworld.com/Articles/Editorial/What-Is-.../What-is-KM-Knowledge-Management-Explained-82405.aspxhttp://searchdomino.techtarget.com/definition/knowledge-management
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