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Knowledge Transfer
and sharing
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.
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
• Inhibitors of Knowledge Transfer
• Lack of trust
• Lack of time
• Knower's status
• Speed/Quality of transfer
Types of Knowledge Transfer
• Collective Sequential Transfer
• Explicit Interteam Transfer
• Tacit Knowledge Transfer
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.
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.
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.
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
Knowledge Transfer in e-world
• E-World
• Intranet
• Extranet
• Groupware
• E-Business
• Value Chain
• Supply Chain Management (SCM)
• Customer Relationship Management (CRM)
E-world
• Intranet
• Extranet
• Groupware
Intranet
• A large pool of information is to be shared among large numbe of
employees.
Extranet
• It promotes collaboration with partners and improves the
potential fo increased revenue.
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
E-business
• business process of exchanging information between businesses
• Developing new products/services
• Gaining recent market knowledge
• Building custome loyalty
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
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.
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.
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
Portals
• Portals are Web-based applications which provide a single point of
access to online information.
• Exam Cell portal
• MU portal
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.
Market portals
• Knowledge portals are emerging as key tools for supporting the
knowledge workplace.
• Support
• BI
• Data wharehouse
Knowledge Portal Technologies
• Collaboration
• Intelligent Agents
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.
Content management
• Addresses the problem of searching for knowledge in all
information sources of the enterprise.
• indexing
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
Association Rules
• Association analysis is useful for discovering interesting
relationship hidden in large data sets.
• Multilevel association rules
• Multidimensional association rules
• Market basket analysis
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
Data Mining and BI
• Data mining – Extraction and identification of patterns
• BI- use Data mining for decision making
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
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.
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
Management and Leadership
• The leader's role in a learning organization is more of a facilitator
than a supervisor.
• Work adjustment
• Smart leeadership
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.
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.
Knowledge Transfer and sharing information Technology
Knowledge Transfer and sharing information Technology

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Knowledge Transfer and sharing information Technology

  • 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)
  • 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.