2. Knowledge management (KM)
• doing what is needed to get the most out of
knowledge resources.
• KM can be applied to individuals
• KM is an important discipline that promotes
the creation, sharing, and leveraging of the
corporation’s knowledge
3. Benefits of KM of Organization
•Leveraging core business competencies,
•Accelerating innovation and time-to-market,
•Empowering employees,
•Innovating and delivering high-quality
products,
•improving cycle times and decision-making,
•Strengthening organizational commitment,
•Building sustainable competitive advantage
4. Intellectual capital
An organization’s intellectual capital refers to
the sum of all its knowledge resources, which
exist in aspects within or outside the
organization (Nahapiet and Ghoshal 1998).
Recent study shows that utilizing intellectual
capital and knowledge management capabilities
would lead to innovation and firms
‘performance improvement
5. Types of Intellectual Capital
• Human capital
The knowledge, skills, and capabilities possessed
by individual employees;
• Organizational capital
the institutionalized knowledge and codified
experience residing in databases, manuals, culture,
systems, structures
• Social capital
The knowledge inserted in relationships and
interactions among individuals (Subramaniam and
Youndt 2005).
7. Mission-critical objectives
Effective methodologies, including tools and
techniques to capture vital knowledge, are
essential for an organization to maintain its
competitive edge.
organizations since today’s decision-maker faces
the pressure to make better and faster decisions
in an environment characterized by a high
domain complexity and market volatility.
8. KNOWLEDGE MANAGEMENT SYSTEMS
Rapid changes in the field of KM have to a great extent resulted from
the dramatic progress we have witnessed in the field of Information
technology (IT). Information technology facilitates sharing as well as
accelerated growth of knowledge. IT allows the movement of
information at increasing speeds and efficiencies.
IT has provided the major motivation for enabling the implementation
of KM applications. as learning has accrued over time in the area of
social and structural mechanisms, such as mentoring and retreats that
enable effective knowledge sharing, it has become possible to develop
KM applications that best leverage these improved mechanisms by
deploying sophisticated technologies. The use of the latest
technologies used to support KM mechanisms.
Knowledge management mechanisms are organizational or structural
means used to promote KM.
The use of leading-edge information technologies (e.g., Web-based
conferencing) to support KM mechanisms in ways not earlier possible
(e.g., interactive conversations along with instantaneous exchange of
voluminous documents among individuals
9. KNOWLEDGE MANAGEMENT SYSTEMS
Continue…
Knowledge management systems utilize a variety of KM
mechanisms and technologies to support the knowledge
management processes. Based on observations on the
KM systems implementations under way at many
organizations, a framework emerges for classification of
KM systems as:
• 1. Knowledge Application Systems
• 2. Knowledge Capture Systems
• 3. Knowledge Sharing Systems
• 4. Knowledge Discovery Systems
10. Principles of KM
Knowledge Application Systems
Support the process through which some individuals
utilize knowledge possessed by other individuals without
actually acquiring, or learning, that knowledge.
Knowledge application technologies, which support
direction and routines includes:
• Expert systems
• decision support systems
• advisor systems
• fault diagnosis (or troubleshooting) systems
• help desk systems.
11. Knowledge capture systems
Which refer to systems that provoke(produce)
and preserve the knowledge of experts so that it
can be shared with others
Issues related to how to design the knowledge
capture system, including the use of intelligent
technologies trends on knowledge capture
systems.
12. Knowledge sharing systems
Which refer to systems that organize and
distribute knowledge and comprise the majority
of the KM systems currently in place.
13. Knowledge discovery systems
Systems and technologies that create knowledge
The chapter presents a description of knowledge
discovery in databases and data mining (DM),
including both mechanisms and technologies to
support the discovery of knowledge.
14. ISSUES IN KNOWLEDGE MANAGEMENT
• The end (Vision) state is not defined, not compelling, or poorly
communicated (Establishing a vision for how knowledge
management should work, and relentlessly working towards
making that vision a reality.
• Immediately diving into choosing and implementing technology
(believe in other ways too like human capital)
• Knowledge management is disconnected from the overall goals
of the business. (It is not viewed as delivering value to the
business)
• People say that they don’t have time, don’t know what is
expected of them, or that leaders don’t expect them to actually
perform KM tasks (Leaders should set and communicate goals,
report on progress, inspect and enforce compliance, and deliver
rewards and recognition for those who set the example)
