uploaded on 8th feb 2013 by v.shyamala

1. Knowledge
management

2. What is Knowledge management?
 “knowledge management is systematic, explicit and
deliberate building , renewal and application of knowledge
to maximize an enterprise knowledge-related effectiveness
and returns from its knowledge assets”
 “Knowledge management is a systematic and organized
attempt to generate knowledge within an organization,
that can transform its ability to store and use knowledge
for improving performance”

3. Architecture
 Explicit knowledge
 Implicit knowledge

4. Explicit knowledge
 Defines the identity , the competences and the intellectual
assets of an organization independently of its employees
 It is formal knowledge that can be packaged as
information
 It can be found in the documents of an organization-
reports, articles, manuals, patents, pictures, video images,
sound, software etc.
 It can grow and sustain only with the help of tacit
knowledge
 Acquisition of this knowledge is indirect

5. Implicit knowledge
 It is personal knowledge embedded in individual
experience and is shared and exchanged through direct,
face-to-face contact
 It is deeply rooted in the individual’s actions, experience,
as well as in the ideals, values and emotions
 It is the practical knowledge to get things done

6. Types of implicit knowledge
 Technical dimension:
Consists of informal skills and crafts hard to document
 Cognitive dimension:
Consists of mental models, beliefs and perception that are so
ingrained in people

7. Characteristics of knowledge management architecture
A successful knowledge management architecture must be:
 Available (if knowledge exists, it is available for retrieval)
 Accurate in retrieval (if available, knowledge is retrieved)
 Effective (knowledge retrieved is useful and correct)
 Accessible (knowledge is available during the time of need)

8. KM tools
 Intranet technology
 Electronic document management
 Information retrieval tools
 Workflow management system
 Data analysis
 Data warehousing
 Agent technology
 Help desks
 Machine learning
 Computer based training

9. KM process
1. Identify stage
 Determine the competences critical to success –e.g.,
customer needs, expectation, finances, products and
services
 Related strategies and knowledge domains are identified
 Knowledge domains and specialized subject matter areas
where recognized experts can demonstrate superior
performance
 Existing levels of expertise in the workforce are determined
for each knowledge domain
 Gap between the existing and required expertise is
determined
 The domain experts with training and IT professionals
construct educational programmes and performance
support systems to improve expertise levels

10. 2. Collect stage
 Acquiring existing knowledge, skills, theories, and
experience needed to create the selected core competences
and knowledge domains
 The knowledge, expertise must be made explicit
 Practitioners should know where and how to purchase
explicit knowledge in the form of databases and expert
system
 Valid knowledge resources should be identified to acquire
expertise

11. 3. Select stage
 Takes the continuous stream of collected and formalized
knowledge and assess its knowledge
 It should have a strong filtering mechanism
 Diversity of viewpoints from multiple domain experts is
represented
 One framework should be selected as the basis for
organizing and classifying knowledge repository

12. 4. Store stage
 It picks up the knowledge classifies’em and adds it to the
organizational memory
 This corporate memory resides in different forms in
human minds, paper, electronically
 Knowledge must be organized and represented in different
knowledge structures within the repository

13. 5. Share stage
 Retrieves knowledge from corporate memory and makes it
accessible to uses
 Workforce make their need and personal interest known to
the corporate memory which automatically distributes any
new knowledge to the company
 Individual groups, departments share ideas, opinions,
gossip, knowledge and expertise in meetings

14. Knowledge conversion
 Tacit-tacit
 Tacit-explicit
 Explicit to tacit
 Explicit-explicit

15.  Developing new knowledge
 Securing new and existing knowledge
 Distributing knowledge
 Combing available knowledge