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Knowledge management and business intelligence .ppt
- 1. Decision Support and Business
Intelligence Systems
(9th Ed., Prentice Hall)
Chapter 11:
Knowledge Management
- 2. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-2
Learning Objectives
Define knowledge and describe the different
types of knowledge
Describe the characteristics of knowledge
management
Describe organizational learning and its
relationship to knowledge management
Describe the knowledge management cycle
Describe the technologies that can be used in
a knowledge management system
- 3. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-3
Learning Objectives
Describe different approaches to knowledge
management
Describe the chief knowledge officer and
others involved in knowledge management
Describe the role of knowledge management
in organizational activities
Describe the different ways of evaluating
intellectual capital in an organization
Describe how KMS are implemented
- 4. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-4
Learning Objectives
Describe the roles of technology, people, and
management in knowledge management
Describe the benefits and drawbacks of
knowledge management initiatives
Describe how knowledge management can
revolutionize the way an organization
functions
The future of KN: Web 2.0 and beyond…
- 5. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-5
Opening Vignette:
“MITRE Knows What It Knows Through
Knowledge Management”
Company background
Problem description
Proposed solution
Results
Answer and discuss the case questions
- 6. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-6
Opening Vignette:
MITRE’s View to the KM Process
ENABLING TECHNOLOGIES FOR
KNOWLEDGE MANAGEMENT
Expert
Systems
Data
Mining
Search
Engine
Web 2.0
Databases
Portals
Internet
Collaboration
Web
technologies
Intranet
Extranet
Knowledge
representation
Measurements
Machine
Learning
Artificial
Intelligence
Create
Identify
Share
Act Apply
Modify
CULTURE PROCESS PRACTICE
KM LIFE-CYCLE
Communication
INFLUENCING FACTORS
feedback
- 7. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-7
Introduction to
Knowledge Management
Knowledge management concepts and
definitions
Knowledge management
The active management of the expertise in an
organization. It involves collecting, categorizing,
and disseminating knowledge
Intellectual capital
The invaluable knowledge of an organization’s
employees
- 8. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-8
Introduction to
Knowledge Management
Knowledge is
information that is contextual, relevant, and
actionable
understanding, awareness, or familiarity
acquired through education or experience
anything that has been learned, perceived,
discovered, inferred, or understood.
In a knowledge management system,
“knowledge is information in action”
- 9. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-9
Introduction to
Knowledge Management
Processed
Relevant and
Actionable
Relevant and actionable processed-data
Database PHASE 5
DEPT 4
DEPT 3
DEPT 2
DEPT 1
PHASE 4
PHASE 3
PHASE 2
PHASE 1
DEPLOYMENT CHART
1 2 3 4 5
Data
Information
Knowledge
Wisdom
- 10. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-10
Introduction to
Knowledge Management
Characteristics of knowledge
Extraordinary leverage and increasing returns
Fragmentation, leakage and the need to refresh
Uncertain value
Uncertain value of sharing
Knowledge-based economy
The economic shift from natural resources to
intellectual assets
- 11. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-11
Introduction to
Knowledge Management
Explicit and tacit knowledge
Explicit (leaky) knowledge
Knowledge that deals with objective,
rational, and technical material (data,
policies, procedures, software, documents,
etc.)
Easily documented, transferred, taught
and learned
Examples…
- 12. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-12
Introduction to
Knowledge Management
Explicit and tacit knowledge
Tacit (embedded) knowledge
Knowledge that is usually in the domain of
subjective, cognitive, and experiential
learning
It is highly personal and hard to formalize
Hard to document, transfer, teach and learn
Involves a lot of human interpretation
Examples…
- 13. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-13
Introduction to
Knowledge Management
Knowledge management systems
(KMS)
A system that facilitates knowledge
management by ensuring knowledge
flow from the person(s) who know to
the person(s) who need to know
throughout the organization;
knowledge evolves and grows during
the process
- 14. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-14
Organizational
Learning and Transformation
Learning organization
An organization capable of learning from
its past experience, implying the
existence of an organizational memory
and a means to save, represent, and
share it through its personnel
Organizational memory
Repository of what the organization
“knows”
- 15. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-15
Organizational
Learning and Transformation
Organizational learning
Development of new knowledge and
insights that have the potential to
influence organization’s behavior
The process of capturing knowledge and
making it available enterprise-wide
Need to establish corporate memory
Modern IT helps…
People issues are the most important!
- 16. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-16
Organizational
Learning and Transformation
Organizational culture
The aggregate attitudes in an
organization concerning a certain issue
(e.g., technology, computers, DSS)
How do people learn the “culture”?
Is it explicit or implicit?
Can culture be changed? How?
Give some examples of corporate culture:
Microsoft, Google, Apple, HP, GM, …
- 17. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-17
Organizational
Learning and Transformation
Why people don’t like to share knowledge:
Lack of time to share knowledge and time to
identify colleagues in need of specific knowledge
Fear that sharing may jeopardize one’s job
security
Low awareness and realization of the value and
benefit of the knowledge others possess
Dominance in sharing explicit over tacit knowledge
Use of a strong hierarchy, position-based status,
and formal power
Insufficient capture, evaluation, feedback,
communication, and tolerance of past mistakes
- 18. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-18
Organizational
Learning and Transformation
Why people don’t like to share knowledge:
Differences in experience and education levels
Lack of contact time and interaction between
knowledge sources and recipients
Poor verbal/written communication and
interpersonal skills
Age, gender, cultural and ethical defenses
Lack of a social network
Ownership of intellectual property
Lack of trust in people because they may misuse
knowledge or take unjust credit for it
Perceived lack of accuracy/credibility of knowledge
- 19. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-19
Knowledge Management Activities
Knowledge management initiatives and
activities
Most knowledge management initiatives
have one of three aims:
1. To make knowledge visible
2. To develop a knowledge-intensive culture
3. To build a knowledge infrastructure
- 20. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-20
Knowledge Management Activities
Knowledge creation is the generation
of new insights, ideas, or routines
Four modes of knowledge creation:
Socialization
Externalization
Internalization
Combination
Analytics-based knowledge creation?
- 21. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-21
Knowledge Management Activities
Knowledge sharing
Knowledge sharing is the willful
explication of one person’s ideas, insights,
experiences to another individual either
via an intermediary or directly
In many organizations, information and
knowledge are not considered
organizational resources to be shared but
individual competitive weapons to be kept
private
- 22. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-22
Knowledge seeking
Knowledge seeking (knowledge sourcing)
is the search for and use of internal
organizational knowledge
Lack of time or lack of reward may
hinder the sharing of knowledge or
knowledge seeking
Knowledge Management Activities
- 23. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-23
Approaches to
Knowledge Management
Process approach to knowledge management
attempts to codify organizational knowledge
through formalized controls, processes and
technologies
Focuses on explicit knowledge and IT
Practice approach focuses on building the
social environments or communities of
practice necessary to facilitate the sharing of
tacit understanding
Focuses on tacit knowledge and socialization
- 24. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-24
Approaches to
Knowledge Management
Hybrid approaches to knowledge
management
The practice approach is used so that a
repository stores only explicit knowledge
that is relatively easy to document
Tacit knowledge initially stored in the
repository is contact information about
experts and their areas of expertise
Increasing the amount of tacit knowledge
over time eventually leads to the
attainment of a true process approach
Hybrid
at
80/20
to
50/50
- 25. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-25
Knowledge Management -
A Demand Led Business Activity
Supply-driven vs. demand-driven KM
Technology approach
Data
Knowledge
Information Action
Results
Supply-driven: DIKAR
Demand-driven: RAKID
Business-value approach
summarize
contextulize utilize
obtain
- 26. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-26
Approaches to
Knowledge Management
Best practices
In an organization, the best methods
for solving problems. These are often
stored in the knowledge repository of a
knowledge management system
Knowledge repository is the actual
storage location of knowledge in a
knowledge management system. Similar in
nature to a database, but generally text-
oriented
- 27. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-27
Approaches to
Knowledge Management
KNOWLEDGE MANAGEMENT PLATFORM (KMP)
Human Experts
KNOWLEDGE PORTAL
(Web-based End User Interface)
Intelligent Broker
KNOWLEDGE REPOSITORY
(Knowledge / Information / Data Nuggets)
Web Crawler Data/Text Mining Tools
Manual
Entries
DIVERSE INFORMATION / DATA SOURCES
(Weather / Medical Info / Finance / Agriculture / Industrial)
Ad hoc
Search
K
NOWLEDGE
C
REATION
K
NOWLEDGE
U
TILIZATION
JUN
1
5
A
Comprehensive
View to
Knowledge
Repository
- 28. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-28
Approaches to
Knowledge Management
Developing a knowledge repository
Knowledge repositories are developed
using several different storage mechanisms
in combination
The most important aspects and difficult
issues are making the contribution of
knowledge relatively easy for the
contributor and determining a good
method for cataloging the knowledge
- 29. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-29
Information Technology (IT) in
Knowledge Management
The KMS cycle
KMS usually follow a six-step cycle:
1. Create knowledge
2. Capture knowledge
3. Refine knowledge
4. Store knowledge
5. Manage knowledge
6. Disseminate knowledge
- 30. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-30
Capture
Knowledge
Refine
Knowledge
Store
Knowledge
Manage
Knowledge
Disseminate
Knowledge
Create
Knowledge
1
2
3
4
5
6
Information Technology (IT) in
Knowledge Management
The Cyclic Model
of Knowledge
Management
- 31. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-31
Information Technology (IT) in
Knowledge Management
Components of KMS
KMS are developed using three sets of core
technologies:
1. Communication
2. Collaboration
3. Storage and retrieval
Technologies that support KM
Artificial intelligence
Intelligent agents
Knowledge discovery in databases
Extensible Markup Language (XML)
- 32. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-32
Information Technology (IT) in
Knowledge Management
Artificial intelligence
AI methods used in KMS:
Assist in and enhance searching knowledge
Help for knowledge representation (e.g., ES)
Help establish knowledge profiles of individuals
and groups
Help determine the relative importance of
knowledge when it is contributed to and
accessed from the knowledge repository
- 33. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-33
Information Technology (IT) in
Knowledge Management
AI methods used in KMS:
Scan e-mail, documents, and databases to
perform knowledge discovery, determine
meaningful relationships and rules
Identify patterns in data (usually through neural
networks and other data mining techniques)
Forecast future results by using data/knowledge
Provide advice directly from knowledge by using
neural networks or expert systems
Provide a natural language or voice command–
driven user interface for a KMS
- 34. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-34
Information Technology (IT) in
Knowledge Management
Intelligent agents
Intelligent agents are software systems
that learn how users work and provide
assistance in their daily tasks
They are used to elicit and identify
knowledge
See ibm.com, gentia.com for examples
Combined with enterprise knowledge portal
to proactively disseminate knowledge
- 35. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-35
Information Technology (IT) in
Knowledge Management
Knowledge discovery in databases
(KDD)
A machine learning process that
performs rule induction, or a related
procedure to establish (or create)
knowledge from large databases
a.k.a. Data Mining (and/or Text Mining)
- 36. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-36
Information Technology (IT) in
Knowledge Management
Model marts
Small, generally departmental repositories of
knowledge created by employing knowledge-
discovery techniques on past decision
instances. Similar to data marts
Model warehouses
Large, generally enterprise-wide repositories
of knowledge created by employing
knowledge-discovery techniques. Similar to
data warehouses
- 37. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-37
Information Technology (IT) in
Knowledge Management
Extensible Markup Language (XML)
XML enables standardized representations of
data structures so that data can be
processed appropriately by heterogeneous
information systems without case-by-case
programming or human intervention
Web 2.0
The evolution of the Web from statically
disseminating information to collaboratively
creating and sharing information
- 38. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-38
KM System Implementation
Knowledge management products and
vendors
Knowware
Technology tools (software/hardware products)
that support knowledge management
Software development companies / vendors
Collaborative computing tools
Knowledge servers
Enterprise knowledge portals (EKP)
An electronic doorway into a knowledge management
system…
- 39. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-39
KM System Implementation
Software development companies / vendors
Electronic document management (EDM)
A method for processing documents
electronically, including capture, storage,
retrieval, manipulation, and presentation
Content management systems (CMS)
An electronic document management system
that produces dynamic versions of documents,
and automatically maintains the current set for
use at the enterprise level
- 40. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-40
KM System Implementation
Software development tools
Knowledge harvesting tools
Search engines
Knowledge management suites
Knowledge management consulting firms
Knowledge management ASPs
- 41. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-41
KMS Implementation
Integration of KMS with other business
information systems
With DSS/BI Systems
With AI
With databases and information systems
With CRM systems
With SCM systems
With corporate intranets and extranets
- 42. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-42
Roles of People in
Knowledge Management
Chief knowledge officer (CKO)
The person in charge of a knowledge
management effort in an organization
Sets KM strategic priorities
Establishes a repository of best practices
Gains a commitment from senior executives
Teaches information seekers how to better elicit it
Creates a process for managing intellectual assets
Obtain customer satisfaction information
Globalizes knowledge management
- 43. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-43
Roles of People in
Knowledge Management
Skills required of a CKO include:
Interpersonal communication skills
Leadership skills
Business acumen
Strategic thinking
Collaboration skills
The ability to institute effective educational
programs
An understanding of IT and its role in advancing
knowledge management
- 44. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-44
Roles of People in
Knowledge Management
The CEO, other chief officers, and managers
The CEO is responsible for championing a
knowledge management effort
The officers make available the resources needed
to get the job done
CFO ensures that the financial resources are available
COO ensures that people begin to embed knowledge
management practices into their daily work processes
CIO ensures IT resources are available
Managers also support the KM efforts by providing
access to sources of knowledge
- 45. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-45
Roles of People in
Knowledge Management
Community of practice (CoP)
A group of people in an organization
with a common professional interest,
often self-organized for managing
knowledge in a knowledge management
system
See Application Case 11.7 as an example of
how Xerox successfully improved practices
and cost savings through CoP
- 46. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-46
Roles of People in
Knowledge Management
KMS developers
The team members who actually develop
the system
Internal + External
KMS staff
Enterprise-wide KMS require a full-time
staff to catalog and manage the knowledge
- 47. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-47
Ensuring the Success of
Knowledge Management Efforts
Success stories of knowledge management
Implementing a good KM strategy can:
Reduce…
loss of intellectual capital
costs by decreasing the number of times
the company must repeatedly solve the
same problem
redundancy of knowledge-based activities
Increase…
productivity
employee satisfaction
- 48. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-48
Ensuring the Success of
Knowledge Management Efforts
MAKE: Most Admired Knowledge Enterprises
“Annually identifying the best practitioners of KM”
Criteria (performance dimensions):
1. Creating a knowledge-driven corporate culture
2. Developing knowledge workers through leadership
3. Fostering innovation
4. Maximizing enterprise intellectual capital
5. Creating an environment for collaborative knowledge sharing
6. Facilitating organizational learning
7. Delivering value based on stakeholder knowledge
8. Transforming enterprise knowledge into stakeholders’ value
- 49. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-49
Ensuring the Success of
Knowledge Management Efforts
MAKE: Most Admired Knowledge Enterprises
“Annually identifying the best practitioners of KM”
2008 Winners:
1. McKinsey & Company
2. Google
3. Royal Dutch Shell
4. Toyota
5. Wikipedia
6. Honda
7. Apple
8. Fluor
9. Microsoft
10. PricewaterhouseCoopers
11. Ernst & Young
12. IBM
13. Schlumberger
14. Samsung Group
15. BP
16. Unilever
17. Accenture
18. …
- 50. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-50
Ensuring the Success of
Knowledge Management Efforts
Useful applications of KMS
Finding experts electronically and using
expert location systems
Expert location systems (know-who)
Interactive computerized systems that help
employees find and connect with colleagues
who have expertise required for specific
problems—whether they are across the county
or across the room—in order to solve specific,
critical business problems in seconds
- 51. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-51
Ensuring the Success of
Knowledge Management Efforts
Knowledge management valuation
Financial metrics for knowledge
management valuation
Focus knowledge management projects on
specific business problems that can be easily
quantified
When the problems are solved, the value and
benefits of the system become apparent
- 52. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-52
Ensuring the Success of
Knowledge Management Efforts
Knowledge management valuation
Nonfinancial metrics for knowledge
management valuation—new ways to view
capital when evaluating intangibles:
Customer goodwill
External relationship capital
Structural capital
Human capital
Social capital
Environmental capital
- 53. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-53
Ensuring the Success of
Knowledge Management Efforts
Causes of knowledge management failure
The effort mainly relies on technology and
does not address whether the proposed
system will meet the needs and objectives of
the organization and its individuals
Lack of emphasis on human aspects
Lack of commitment
Failure to provide reasonable incentive for
people to use the system…
- 54. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-54
Ensuring the Success of
Knowledge Management Efforts
Factors that lead to knowledge
management success
A link to a firm’s economic value, to
demonstrate financial viability and maintain
executive sponsorship
A technical and organizational
infrastructure on which to build
A standard, flexible knowledge structure to
match the way the organization performs
work and uses knowledge
- 55. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-55
Ensuring the Success of
Knowledge Management Efforts
Factors that lead to knowledge
management success
A knowledge-friendly culture that leads
directly to user support
A clear purpose and language, to
encourage users to buy into the system
A change in motivational practices, to
create a culture of sharing
Multiple channels for knowledge transfer
- 56. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-56
Ensuring the Success of
Knowledge Management Efforts
Factors that lead to knowledge
management success
A significant process orientation and
valuation to make a knowledge
management effort worthwhile
Nontrivial motivational methods to
encourage users to contribute and use
knowledge
Senior management support
- 57. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-57
Last words on KM
Knowledge is an intellectual asset
IT is “just” an important enabler
Proper management of knowledge is a
necessary ingredient for success
Key issues:
Organizational culture
Executive sponsorship
Measurement of success
- 58. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-58
End of the Chapter
Questions / comments…
- 59. Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
11-59
All rights reserved. No part of this publication may be reproduced, stored in a
retrieval system, or transmitted, in any form or by any means, electronic,
mechanical, photocopying, recording, or otherwise, without the prior written
permission of the publisher. Printed in the United States of America.
Copyright © 2011 Pearson Education, Inc.
Publishing as Prentice Hall