KNOWLEDGE MANAGEMENT
DATA , INFORMATION & KNOWLEDGE
Data Information Knowledge Intelligence Codifiable, explicit Easily transferable Human, judgemental Contextual, tacit Transfer needs learning
Sharing knowledge, a company creates exponential benefits from the knowledge as people learn from it Building better sensitivity to “brain drain” Reacting instantly to new business opportunities  Ensuring successful partnering and core competencies with suppliers, vendors, customers, and other constituents Shortens the learning curve
 
Knowledge Management (KM) refers to a multi-disciplined approach to achieving organizational objectives by making the best use of knowledge. DEFINATION
People management Process management Information management COMPONENTS OF KM
Explicit knowledge Tacit knowledge FORMS OF KNOWLEDGE
Shallow and deep knowledge Common sense as knowledge TYPES OF KNOWLEDGE
Business operation (work place) External  Information exchange from external world Judging Learning Innovating Improving Formalizing Design Storing  Day to day work Extracts Inputs  Extracts Create knowledge and IC KNOWLEDGE BUILDING MODEL
KM CYCLE
KM ARCHITECHTURE
KM Knowledge delivery Knowledge generation Identification of knowledge Surveying and locating Definition and categorization Access control Manipulating ad modeling Processing acquisition Application method Storage and security Creation of KDB Build knowledge structure
Corporate Culture Motivation and skills Promotion by Top Management Structure & processes Information Technology
KNOWLEDGE MANAGEMENT TOOLS
Database management tools Web based tools Data mining tools Process modeling and management tools Search algorithms document management tools Search engine tools
Mechanistic Cultural or behaviorist systematic KM APPROACHES
Challenges to Implement Km system .  Culture : Sharing Knowledge Knowledge Evaluation :Estimation the worth  of knowledge . Knowledge Processing : Importance of    knowledge Knowledge Implementation: Cost Factor.
The value of KM It is important to manage knowledge assets because – Organizations compete increasingly on the base of knowledge (the only sustainable competitive advantage, according to some) Most of our work is information based (and often immersed in a computing environment) Our products, services, and environment are more complex than ever before Workforces are increasingly unstable leading to escalating demands for knowledge replacement/acquisition
The sources of KM Today, KM draws from a wide range of disciplines/practices – Cognitive science Groupware, AI, KBMS Library and information science Document management Decision support systems Technical writing Organizational science Many
Benefits anticipated Increase in collaboration, conversation amongst the employees Making the experts expertise available throughout the organization. Reduce loss of intellectual capital from people leaving the company. Reduce cost by decreasing and achieving economies of scale. Minimize redundancy of knowledge-based activities Increase productivity by making knowledge available more quickly and easily Promote innovations Give equal opportunities to all the individuals to express and share their knowledge.
THE DRIVERS Technology Drivers.  Process Drivers Personnel-Specific Drivers Knowledge-Related Drivers Financial Drivers
STRATEGIES  rewards (as a means of motivating for knowledge sharing)  storytelling (as a means of transferring tacit knowledge)  cross-project learning  after action reviews  knowledge mapping (a map of knowledge repositories within a company accessible by all)  communities of practice  expert directories (to enable knowledge seeker to reach to the experts)  [edit]
Strategies  best practice transfer  knowledge fairs  competence management (systematic evaluation and planning of competences of individual organization members)  proximity & architecture (the physical situation of employees can be either conducive or obstructive to knowledge sharing)  master-apprentice relationship  collaborative technologies (groupware, etc.)  knowledge repositories (databases, bookmarking engines, etc.)  measuring and reporting intellectual capital (a way of making explicit knowledge for companies)  knowledge brokers (some organizational members take on responsibility for a specific "field" and act as first reference on whom to talk about a specific subject)  social software (wikis, social bookmarking, blogs, etc.)
Motivations Making available increased knowledge content in the development and provision of products and services  Achieving shorter new product development cycles  Facilitating and managing innovation and organizational learning  Leveraging the expertise of people across the organization  Increasing network  between internal and external individuals  Managing business environments and allowing employees to obtain relevant insights and ideas appropriate to their work  Solving intractable or wicked problems  Managing intellectual capital and intellectual assets in the workforce (such as the expertise and know-how possessed by key individuals)

Knowledge management

  • 1.
  • 2.
    DATA , INFORMATION& KNOWLEDGE
  • 3.
    Data Information KnowledgeIntelligence Codifiable, explicit Easily transferable Human, judgemental Contextual, tacit Transfer needs learning
  • 4.
    Sharing knowledge, acompany creates exponential benefits from the knowledge as people learn from it Building better sensitivity to “brain drain” Reacting instantly to new business opportunities Ensuring successful partnering and core competencies with suppliers, vendors, customers, and other constituents Shortens the learning curve
  • 5.
  • 6.
    Knowledge Management (KM)refers to a multi-disciplined approach to achieving organizational objectives by making the best use of knowledge. DEFINATION
  • 7.
    People management Processmanagement Information management COMPONENTS OF KM
  • 8.
    Explicit knowledge Tacitknowledge FORMS OF KNOWLEDGE
  • 9.
    Shallow and deepknowledge Common sense as knowledge TYPES OF KNOWLEDGE
  • 10.
    Business operation (workplace) External Information exchange from external world Judging Learning Innovating Improving Formalizing Design Storing Day to day work Extracts Inputs Extracts Create knowledge and IC KNOWLEDGE BUILDING MODEL
  • 11.
  • 12.
  • 13.
    KM Knowledge deliveryKnowledge generation Identification of knowledge Surveying and locating Definition and categorization Access control Manipulating ad modeling Processing acquisition Application method Storage and security Creation of KDB Build knowledge structure
  • 14.
    Corporate Culture Motivationand skills Promotion by Top Management Structure & processes Information Technology
  • 15.
  • 16.
    Database management toolsWeb based tools Data mining tools Process modeling and management tools Search algorithms document management tools Search engine tools
  • 17.
    Mechanistic Cultural orbehaviorist systematic KM APPROACHES
  • 18.
    Challenges to ImplementKm system . Culture : Sharing Knowledge Knowledge Evaluation :Estimation the worth of knowledge . Knowledge Processing : Importance of knowledge Knowledge Implementation: Cost Factor.
  • 19.
    The value ofKM It is important to manage knowledge assets because – Organizations compete increasingly on the base of knowledge (the only sustainable competitive advantage, according to some) Most of our work is information based (and often immersed in a computing environment) Our products, services, and environment are more complex than ever before Workforces are increasingly unstable leading to escalating demands for knowledge replacement/acquisition
  • 20.
    The sources ofKM Today, KM draws from a wide range of disciplines/practices – Cognitive science Groupware, AI, KBMS Library and information science Document management Decision support systems Technical writing Organizational science Many
  • 21.
    Benefits anticipated Increasein collaboration, conversation amongst the employees Making the experts expertise available throughout the organization. Reduce loss of intellectual capital from people leaving the company. Reduce cost by decreasing and achieving economies of scale. Minimize redundancy of knowledge-based activities Increase productivity by making knowledge available more quickly and easily Promote innovations Give equal opportunities to all the individuals to express and share their knowledge.
  • 22.
    THE DRIVERS TechnologyDrivers. Process Drivers Personnel-Specific Drivers Knowledge-Related Drivers Financial Drivers
  • 23.
    STRATEGIES rewards(as a means of motivating for knowledge sharing) storytelling (as a means of transferring tacit knowledge) cross-project learning after action reviews knowledge mapping (a map of knowledge repositories within a company accessible by all) communities of practice expert directories (to enable knowledge seeker to reach to the experts) [edit]
  • 24.
    Strategies bestpractice transfer knowledge fairs competence management (systematic evaluation and planning of competences of individual organization members) proximity & architecture (the physical situation of employees can be either conducive or obstructive to knowledge sharing) master-apprentice relationship collaborative technologies (groupware, etc.) knowledge repositories (databases, bookmarking engines, etc.) measuring and reporting intellectual capital (a way of making explicit knowledge for companies) knowledge brokers (some organizational members take on responsibility for a specific "field" and act as first reference on whom to talk about a specific subject) social software (wikis, social bookmarking, blogs, etc.)
  • 25.
    Motivations Making availableincreased knowledge content in the development and provision of products and services Achieving shorter new product development cycles Facilitating and managing innovation and organizational learning Leveraging the expertise of people across the organization Increasing network between internal and external individuals Managing business environments and allowing employees to obtain relevant insights and ideas appropriate to their work Solving intractable or wicked problems Managing intellectual capital and intellectual assets in the workforce (such as the expertise and know-how possessed by key individuals)