This presentation introduces Knowledge Management for organizations and includes some models of KM System we have developed. There are some models in Knowledge Mapping.
Study of Knowledge Management Articles:
Part 1: A Critical Review Of Knowledge Management As A Management Tool.
Part 2: The Use Of Tacit Knowledge Within Innovative Companies: Knowledge Management In Innovative Enterprises.
Part 3: Knowledge Management and Process Performance.
Part 4: Knowledge Outsourcing.
The Why and How of Knowledge Management: Some Applications in Teaching and Le...Olivier Serrat
Knowledge management—the process of identifying, creating, storing, sharing, and using organizational knowledge—aims to provide support for improved decision making. Its higher objective is to advance organizational performance. It is best exercised if the motive behind knowledge management initiatives is clear, with sundry possible areas of activity and associated perspectives.
This presentation introduces Knowledge Management for organizations and includes some models of KM System we have developed. There are some models in Knowledge Mapping.
Study of Knowledge Management Articles:
Part 1: A Critical Review Of Knowledge Management As A Management Tool.
Part 2: The Use Of Tacit Knowledge Within Innovative Companies: Knowledge Management In Innovative Enterprises.
Part 3: Knowledge Management and Process Performance.
Part 4: Knowledge Outsourcing.
The Why and How of Knowledge Management: Some Applications in Teaching and Le...Olivier Serrat
Knowledge management—the process of identifying, creating, storing, sharing, and using organizational knowledge—aims to provide support for improved decision making. Its higher objective is to advance organizational performance. It is best exercised if the motive behind knowledge management initiatives is clear, with sundry possible areas of activity and associated perspectives.
Revista Informatica Economică nr.2(46)2008 60Knowl.docxmalbert5
Revista Informatica Economică nr.2(46)/2008
60
Knowledge Management in E-Learning Systems
Rodica MIHALCA, Adina UŢĂ
Anca ANDREESCU, Iulian ÎNTORSUREANU
Department of Informatics in Economy, Academy of Economic Studies Bucharest
Current knowledge management systems focus on knowledge acquisition, storage,
retrieval and maintenance. Yet, for that knowledge to be operational, to
become knowledge rather than information, requires internalization and learning. E-
learning systems and courseware, on the other hand, are all too often monolithic and
inert and fail to facilitate the development and sharing of knowledge. In this paper we discuss
some aspects about knowledge providing and present our research in this field through an e-
learning system for major risks management.
Keywords: Knowledge, management, e-learning, information, data, simulation, case study.
Knowledge, Data, Information and
Knowledge Management
Knowledge is commonly distinguished from
data and information. Data represents facts
often in the form of measurements. Informa-
tion places data within a meaningful context.
Knowledge is an understanding of informa-
tion acquired by study, investigation, obser-
vation, or experience. A tactical definition of
knowledge is the ability to turn information
and data into effective action. In this sense
"managing knowledge" means delivering the
understanding of information and data people
need to be effective in their jobs. Knowledge
can be viewed both as a thing to shared and
as an applied process. As a practical matter
organizations need to manage knowledge
both as an object and as a process.
The relationship between data, information,
and knowledge can be view as a pyramid
where data forms the foundation, information
forms the middle section and knowledge re-
sides at the top. In terms of volume, data
takes up the most space, information takes up
a little less, and knowledge forms the small
portion at the top
Extracting knowledge involves interpreting
volumes of data and information to arrive at
concepts and guidelines that can be docu-
mented, packaged and delivered.
Knowledge can be classified as tacit or expli-
cit. Tacit knowledge is subconsciously un-
derstood and applied, difficult to articulate,
developed from direct experience and action,
and usually shared through highly interactive
conversation, storytelling and shared expe-
rience. Explicit knowledge is consciously
understood and can be more precisely and
formally articulated. Explicit knowledge is
readily codified, documented, transferred and
shared.
Explicit knowledge can be of several types:
• declarative knowledge - knowledge about
something - concepts, categories or descrip-
tors
• procedural knowledge - knowledge of how
something occurs or is performed
• causal knowledge - knowledge why some-
thing occurs
Knowledge management is particularly chal-
lenged in attempting to explicate, share, and
leverage t.
Knowledge Management (KM) is the process of identifying, creating, capturing, organizing, storing, sharing, and effectively utilizing knowledge and information within an organization or community. It involves managing knowledge resources such as people’s expertise, intellectual property, and databases to facilitate learning, collaboration, and innovation. It aims to enable organizations to make better use of their knowledge assets by ensuring that knowledge is properly captured and shared and by facilitating the creation of new knowledge through collaboration and knowledge-creation activities.
Knowledge management and Organizational Learningshiluswami46
This presentation defines about the meaning of knowledge its concepts, Knowledge management along with the meaning of organizational learning and types of learning.
Knowledge Management efforts overlap with Organizational Learning, and may be distinguished from that by a greater focus on the management of knowledge as a strategic asset and a focus on encouraging the sharing of knowledge.
Knowledge Management efforts overlap with Organizational Learning, and may be distinguished from that by a greater focus on the management of knowledge as a strategic asset and a focus on encouraging the sharing of knowledge.
1. KNOWLEDGE MANAGEMENT SYSTEM
INTRODUCTION
Knowledge Management is the
collection of processes that govern
the creation, dissemination, and
utilization of knowledge.
In one form or another, knowledge
management has been around for a
very long time.
Practitioners have included
philosophers, priests, teachers,
politicians, scribes, Liberians, etc.
2. THE IMPORTANCE OF KNOWLEDGE
1. Knowledge assets -- to be applied or
exploited must be nurtured, preserved,
and used to the largest extent possible
by both individuals and organizations
2. Knowledge-related processes -- to
create, build, compile, organize,
transform, transfer, pool, apply, and
safeguard knowledge -- must be carefully
and explicitly managed in all affected
areas.
3. KNOWLEDGE MANAGEMENT
Knowledge management is an audit of
"intellectual assets" that highlights
unique sources, critical functions and
potential bottlenecks which hinder
knowledge flows to the point of use.
It protects intellectual assets from decay,
seeks opportunities to enhance decisions,
services and products through adding
intelligence, increasing value and
providing flexibility.
4. LEVEL OF KNOWLEDGE MANAGEMANT
Level1: Individual Perspective.
The focus in research and
practise is on the individual.
Level2: Individual Perspective.
The focus in research and
practise is on the individual.
5. THREE PERSPECTIVES
1. Business Perspective- focusing on why,
where, and to what extent the
organization
2 .Management Perspective- focusing on
determining, organizing, directing,
facilitating, and monitoring knowledge
3. Hands-On Operational Perspective-
focusing on applying the expertise to
conduct explicit knowledge-related work
and tasks.
7. STRATEGIES:
Knowledge may be accessed at
three stages: before, during, or
after KM-related activities.
One strategy to KM involves
actively managing knowledge
(push strategy).
Another strategy to KM
involves individuals making
knowledge requests of experts
associated with a particular
subject on an ad hoc basis
(pull strategy).
8. MOTIVATIONS:
Making available increased
knowledge content in the
development and provision of
products and services.
Achieving shorter new
product development cycles.
Facilitating and managing
innovation and organizational
learning.
9. TECHNOLOGIES:
Early KM technologies included online
corporate yellow pages as expertise
locators and document management
systems.
More recently, development of social
computing tools (such as bookmarks,
blogs, and wikis) have allowed more
unstructured, self-governing or ecosystem
approaches to the transfer.