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Knowledge Management

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  • Transcript

    • 1. Knowledge Management
      • Presented by:
      • Payam Ansari
      • Instructor:
      • Dr. Murali Raman
      Multimedia University, Malaysia
    • 2. Knowledge , KM & KMS - Definition
      • According to Alter (1996), Tobin (1996), and Beckman (1999):
      • Data: Facts, images, or sounds
      • (+ interpretation + meaning = )
      • Information: Formatted, filtered, and summarized data
      • (+ action + application = )
      • Knowledge: Instincts, ideas, rules, and procedures that guide actions and decisions
      • Further attribute of Knowledge :
      • Know-how
      • Know-why
      • Know-what
      • Know-who
      • Know-where
      • Know-when
    • 3. Knowledge: 1) Tacit : - Subjective, cognitive, technical - Experiential learning - Hard to document - Hard to transfer / teach / learn 2) Explicit: - Objective, rational, - Easily documented - Easily transferred / taught / learned Knowledge , KM & KMS - Definition
    • 4. Knowledge Management : KM is the process of capturing a company's collective expertise wherever it resides – in databases, Papers or people's heads! – and distributing it to wherever it can help produce the biggest payoff . (Knowledge Management Handbook By Jay Liebowitz , 1999 ) Knowledge , KM & KMS - Definition
      • Intellectual Assets:
      • Social capital : relationships with customers, employees, business partners and external experts
      • Structural capital : patents, brand names, systems and processes, management philosophy
      • Human capital : education, experience, skills, attitudes
    • 5.
      • KMS s are computer-based information systems that:
      • • Can help an enterprise acquire, manage, retain, analyze, and retrieve mission-critical information; and help turn enterprise information into well-organized, abstract, and actionable knowledge.
      • Can help an enterprise identify and inter-connect experts, managers, and knowledge workers; and help extract, retain, and disseminate their knowledge in an organization.
      • A distributed hypermedia system for managing knowledge in organizations.
      • e.g.
      • - Search Engine and Web Portal - Data Mining
      • - Text Mining - Web Mining
      Knowledge , KM & KMS - Definition
    • 6.
        • 1 ) Codification
        • Identify who has knowledge
        • Classify and extract the knowledge
        • Manage the knowledge
        • 2 ) Personalization
        • Identify who has knowledge
        • Classify the knowledge and store information about who to contact to get it
        • Manage the “pointers to the knowledge”
      KMS - Approaches
    • 7.
      • People – Communities & Networks (Knowledge workers)
      • Processes – Policies & Procedures
      • Technology – Knowledge leverage tools
      • Content – Best practices, Internal & External intelligence
      KMS - Components
    • 8.
      • - Expert Systems
      • - Management Information Systems
      • - Document Management Systems (DMS)
      • (e.g. Alfresco, ColumbiaSoft, Documentum, DocPoint, Filehold, FileNet, …)
      • - Software Help Desk Tools
      • - Organizational knowledge flow Supporting System
      • - e-Learning Systems (softwares)
      • - Web conferencing
      • - Collaborative software
      • - Content management systems
      • - Corporate 'Yellow pages' directories
      • - email Lists
      • - Wikis
      • - Blogs
      • Video
      KM Tools
    • 9. Reasons for adapting KM
    • 10. Business uses of KM initiatives
    • 11. Types of softwares purchased
    • 12. Implementation challenges
    • 13. 1 ) Behavioral Challenges - Resistance to share Knowledge! Knowledge Management Challenges
    • 14. 1 ) Behavioral Challenges - Eagerness to access to MORE Information, MORE sources & MORE tools progressively! - Corporate Blogging! Knowledge Management Challenges
    • 15. 2 ) Political Challenges - Management support Knowledge Management Challenges
    • 16. 2 ) Political Challenges - Senior managers need to see the knowledge sharing improvement! Knowledge Management Challenges
    • 17. How to confront these challenges??? Knowledge Management Challenges 1 ) Depreciative Enquiry - Formal brown bag session! - Discourage people from asking more questions, indirectly!
    • 18. How to confront these challenges??? Knowledge Management Challenges
      • 2 ) Corporate Flogging!
      • Blogging For Short or Forced Blogging!
      • There are three components here :
      • 1- Policy
      • (Policy says what employees “may talk about” & what you “may not”!)
      • 2- Process
      • (To back policy up!)
      • 3- Software selection
      • (Cost , Features)
    • 19. How to confront these challenges??? Knowledge Management Challenges
      • 3 ) Social Network Paralysis
      • CEOs & Managers love Maps, Charts & Diagrams!
      • So :
      • Give bonus to more connected people!
      • Provide a Questionnaire with only these 2 questions :
      • 1.Who do you share knowledge with? Why?
      • 2.Who do you not share knowledge with? Why?
      • Use the Statistical & Mapping software
      • Show the result to CEO!
    • 20. Knowledge Outsourcing
      • Knowledge Outsourcing becomes attractive when:
      • - Managers think traditional KM is difficult
      • Managers think they will be bothered with KM
      • Managers fear of KM challenges
      • Managers do not have KM resources
      • The size of organization is small.
      • Knowledge Outsourcing Phases:
      • 1 – Identify the Knowledge opportunities
      • 2 – Decouple Human Knowledge Assets (HKA)
      • 3 – Identify HKA provider
    • 21. Identification of Knowledge Opportunities
      • 1 ) SQUAT Analysis Method
      • More people-oriented
      • More suitable for SMEs
      • A ) Specialist – They usually cost organizations significantly!
      • B ) Questioner – People who ask nonsense in meeting!
      • C ) Unusual – People with unusual ideas who make others think about innovation & doing things differently.
      • D ) Attractive people – Who attract media, distract colleagues from their duties.
      • E ) Technology Enthusiast – They are much keen on using latest technology, softwares which are so expensive & costly.
    • 22. Identification of Knowledge Opportunities
      • 2 ) Six Stigma
      • More quality-oriented
      • More focus on Process
      • Identify defective HKA
      • The phases here are similar to the 6 Sigma : DMATO
      • Define – (Failures & Problems)
      • Measure – (Failure rate)
      • Analyze – (Where the problems are & where the solution could be)
      • Target – (People you’ve identified who are responsible for 80 % of failures)
      • Outsource
      • (In 6Sigma we have DMAIC where the differences are in Improve & Control)
    • 23. For those who are interested in KM
      • - Advanced KM in corporation – KM & RFID
      • http :// www . soumu . go . jp / menu_02 / ict / u - japan_en / new_r_i02m . html
      • - Is KM dead? (An interesting interview)
      • http :// plambe . blip . tv / #1055191
      • Xerox Co. Case Study
      • http://www.xerox.com/go/xrx/template/inv_rel_newsroom.jsp?ed_name =NR_2006March8_KMWorld&app= Newsroom&view = newsrelease&format = article&Xcntry = USA&Xlang = en_US
      • Books :
      • - Knowledge Management tools & Techniques, by MADANMOHAN RAO (2001)
      • Knowledge Management : Current Issues & Challenges, by Elayne Coakes (2003)
      • Strategic Knowledge Management in Multinational Organization , by Kevin O’Sullivan , (2008)
      • Articles: The future of KM , by Ross Dawson (2004)
    • 24. Imagination is more important than Knowledge Thank You for Your Patience