KM module 3 transfer and sharing

1. Knowledge Transfer
and sharing

2. Knowledge transfer
• It represents the transmission of knowledge (conveying the
knowledge of one source to another source) and the appropriate
use of the transmitted knowledge.
• The goal is to promote/facilitate knowledge sharing, collaboration
and networking.
• Knowledge transfer can be done by working together,
communicating, learning by doing, using face-to-face discussions,
or embedding knowledge through procedures, mentoring, or
documents exchange.

3. Methods of Knowledge Transfer
• After the knowledge is captured and codified, it has to be transferred so
that the organizational members can use it.
• Transfer Strategies
• Knowledge can be transferred via:
• documents
• internet/intranet
• groupware
• databases
• knowledge bases
• face to face communication

4. • Inhibitors of Knowledge Transfer
• Lack of trust
• Lack of time
• Knower's status
• Speed/Quality of transfer

5. Types of Knowledge Transfer
• Collective Sequential Transfer
• Explicit Interteam Transfer
• Tacit Knowledge Transfer

6. Collective Sequential Transfer
• One ongoing team specialized in specific task(s) moves to other
locations and performs the same task(s).
• There happens knowledge transfer from one site to another by the
same team.
• The focus is on collaboration and is on collective knowledge.

7. Explicit Inter-team Transfer
• Allows a team, which has done a job on a site, to share its
experience with another team working on a similar job on another
site.
• Most of the knowledge transferred associates to routine work and
the procedures are usually precise.

8. Tacit Knowledge Transfer
• This kind of knowledge transfer can be found to be unique in case
of complex, non-algorithmic projects.
• The team receiving the tacit knowledge can be different in
location and experience.
• Often the knowledge that is to be transferred is required to be
modified in language, content etc in order to be usable by the
receiving team.

9. Role of Internet
• With the use of internet, it is possible to transmit/receive information
containing images, graphics, sound and videos.
• Managing online purchase and payment systems.
• Network management/systems integration.
• Monitoring/maintaining customer's Web sites.
• Webinar /Video Conference
• Doing fast business.
• Trying out new ideas.
• Gathering opinions.
• Allowing the business to appear alongside other established businesses.
• Improving the standards of customer service/support resource.
• Supporting managerial functions.
• Limitations:
• Security
• Privacy

10. Knowledge Transfer in e-world
• E-World
• Intranet
• Extranet
• Groupware
• E-Business
• Value Chain
• Supply Chain Management (SCM)
• Customer Relationship Management (CRM)

11. E-world
• Intranet
• Extranet
• Groupware

12. Intranet
• A large pool of information is to be shared among large numbe of
employees.

13. Extranet
• It promotes collaboration with partners and improves the
potential fo increased revenue.

14. Groupware
• A software helping people to collaborate (especially for geographically
distributed organizations)
• Allowing group members to ente and exit at any time.
• Applications:
• E-mail/Knowledge transfer
• Newsgroups/Work-Flow Systems
• Chat Rooms
• Video Communication
• Group Calendaring

15. E-business
• business process of exchanging information between businesses
• Developing new products/services
• Gaining recent market knowledge
• Building custome loyalty

16. Value Chain
• It is a way of organizing the primary and secondary activities of a
business in a way that each activity provides productivity to the
total business operation.
• Primary
• Inbound logistics , operations, Outbound logistics ,marketing and
sales, service
• Secondary
• Procurement, technology development, HR management, firm
infrastructure

17. Supply Chain Management (SCM)
• Incorporates the idea of having the right product in the right
place, at the right time, in the right condition and at the right
price.

18. CRM
• Helps the organization to improve the quality of its relationship
management with customers.
• It is a business strategy used to learn more about custome needs
and customer behavior patterns in order to develop bette and
strong relationship with them.

19. KM System Tools
1. Portals
2. Business Challenge
3. Market Potential
4. Knowledge Portal Technologies
5. Functionality
6. Collaboration
7. Content Management
8. Intelligent Agents

20. Portals
• Portals are Web-based applications which provide a single point of
access to online information.
• Exam Cell portal
• MU portal

21. Business Challenge
• Customer-oriented systems allow organizations to understand the
customer behavior patterns and helps them to offer the right
product at the right time.

22. Market portals
• Knowledge portals are emerging as key tools for supporting the
knowledge workplace.
• Support
• BI
• Data wharehouse

23. Knowledge Portal Technologies
• Collaboration
• Intelligent Agents

24. Collaboration
• The aim for using the collaboration tools is to create a
collaborative KM system which supports sharing and reusing
information.
• Types of collaboration:
• Asynchronous collaboration: Human-to-human interactions via
compute systems having no time/space constraints.
• Synchronous collaboration: Human-to-human interactions (via
compute systems) that occurs instantly.

25. Content management
• Addresses the problem of searching for knowledge in all
information sources of the enterprise.
• indexing

26. Neural networks
• Finds the patterns and relationships in massive amount of data
that are too complicated for human to analyse.
• Example credit card
• Input layer
• Hidden layer
• Output layer

27. Association Rules
• Association analysis is useful for discovering interesting
relationship hidden in large data sets.
• Multilevel association rules
• Multidimensional association rules
• Market basket analysis

28. Classification Tree
• A tree represents a network of nodes.
• There exists a root node which represents the starting node of the
tree. The ending nodes are called leaf nodes.
• The root node and the leaf nodes are usually separated by a
number of intermediate node organizations in layers (called
levels).
• At each level, nodes split data into groups until they reach the
leaf node

29. Data Mining and BI
• Data mining – Extraction and identification of patterns
• BI- use Data mining for decision making

30. Data management
• Data management is an administrative process that includes
acquiring, validating, storing, protecting, and processing
required data to ensure the accessibility, reliability, and
timeliness of the data for its users.
• Security of data is very important and proper data
management helps in ensuring that vital data is never lost and is
protected inside the organization. Data security is
an essential part of data management. It protects employees and
companies from various data losses, thefts, and breaches

31. Managing Knowledge Workers
• Knowledge Workers :
• A knowledge worker is a person who transforms business and
personal experience into knowledge.
• innovative, creative and fully aware of the organizational culture.

32. Personality/Professional Attributes
• Understands and adopts the organizational culture.
• Possesses the attitude of collaboration/sharing.
• Thinking skills
• Possesses self-control and can learn by himself/herself.
• Continuous learning

33. Management and Leadership
• The leader's role in a learning organization is more of a facilitator
than a supervisor.
• Work adjustment
• Smart leeadership

34. Technology and Knowledge Worker
• The primary activities of knowledge worker:
• Monitoring Decision Making Assessment Scheduling
• A knowledge worker can act as a manager, a supervisor, o a clerk
who is actively engaged in thinking, information processing,
analyzing, creating, o recommending procedures based on
experience and cumulative knowledge.

35. IT plays a key role in the learning
organization in the following processes:
• Information interpretation There exists a multitude of equipment
and software supporting knowledge worker's tasks.
• They include: LAN
• E-mail
• Intelligent Workstations.