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KNOWLEDGE

MANAGEMENT

(KM)

Session # 40

KNOWLEDGE

MANAGEMENT

(KM)

Session # 40

Knowledge

Sharing Systems:

Systems thatOrganize and

DistributeKnowledge

Corporate Memory • Corporate Memory (also known as anorganizational memory) is made up of theaggregate intellectual assets of anorganization.• It is the combination of both explicit and tacitknowledge.• The loss of Corporate Memory often resultsfrom a lack of appropriate technologies forthe organization and exchange ofdocuments.

W

hat are KnowledgeSharing Systems

• Systems that enable members of an

organization to acquire Tacit andExplicit knowledge from each other.

• Knowledge Markets that must

attract a critical volume ofKnowledge Seekers and KnowledgeOwners in order to be effective.

KM Systems to shareExplicit Knowledge

-^

Knowledge sharing systems areclassified according to theirAttributes1.

Incident Report Databases

Alert Systems

Best Practices Databases

Lessons-Learned Systems

Expertise Locator Systems

Types of Knowledge

Repositories

KnowledgeSharingSystem

OriginatesOriginatesFromExperiance

from experiences

Describes

a completeprocess?

Describesfailures?

DescribeSuccess

Orientation

IncidentReports

Yes

No

Yes

No

Organization

Alerts

Yes

No

Yes

No

Industry

LessonsLearnedSystem

Yes

No

Yes

Yes

Organization

Best PracticesDatabases

Possibly

Yes

No

Yes

Industry

LLS - to Support

Organizational Processes1.^

Collect the lessons:

Passive, Reactive, After-Action Collection, Proactive

Collection, Active Collection, InteractiveCollection

2.^

Verify the lessons

3.^

Store the Lesson

4.^

Disseminate the Lesson:

Passive dissemination, Active casting, Broadcasting,

Active dissemination, Proactive dissemination,Reactive dissemination

5.^

Apply the Lesson:

Browsable, Executable, Outcome reuse

Expertise-LocatorKnowledge Sharing

Systems

-^

Goal

: To catalog knowledge

competencies, including information nottypically captured by HR systems, in away that could later be queried acrossthe organization to help locateIntellectual Capital.

Case Study - SAGE

-^

The purpose of Searchable AnswerGenerating Environment (

SAGE)

is to

create a searchable repository ofuniversity experts in the State ofFlorida.

-^

www.sage.fiu.edu

SAGE Architecture

DATA-BASE

State University

System Sponsored Research

SAGE UNF FSU UF UCF USF FAU FIU FGCU

Middle-wareClient

WebServer

SAGE interface

UWF FAMU

Expert Seeker Architecture

KM Systems to Share

Tacit Knowledge

To create a culturalenvironment thatencourages the sharing ofknowledge, someorganizations are creatingKnowledge Communities(C of Interest &

C of Practice).