1 Knowledge Management Module III KM Technologies and Techniques.

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Knowledge Management

Module III

KM Technologies and Techniques

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Goals

To understand the role of IT within the framework of Knowledge Management

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Learning Outcomes

Trainees will be able to

~ Discuss several information technologies and how they could be utilized in KM practices

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K Representation Technologies

Photography

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Photography

For example

University gardeners could use photography to document type of plants that are grown on campus and types of diseases that they have encountered and types of treatments they used, etc.

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Video

Videos are actually moving photography, so we could think of video as a form of richer

information

We revert to video when static photography is not sufficient to transfer the targeted

knowledge

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Video

For example

Surgeons could develop a video library that preserves the procedures they perform, thus allowing medical students to learn from them

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Virtual Reality

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Virtual Reality

VR is a very interesting technology

VR allows learners to experience knowledge that neither photography

nor video could provide

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Virtual Reality

For example

A VR model of a human body would allow the students to travel inside it and observe how it works in a unique way

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Modeling

Modeling is very effective and efficient in documenting how experts conceive

the reality of many things

Computers have made modeling easier than ever through many modeling

softwares

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Modeling

has

Toxic matter

Types of pollution

Water pollution

Prevention

Solutions

Ground water

Clean up

Surface water

Agricultural chemicals Acid

impacts

including

has

affects

including

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K Creation Technologies

Simulation

Quantitative modeling techniques allow the user to run simulations

Manual simulation could be cumbersome but computers have made simulation very convenient

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Simulation

For example

Streets of a city could be modeled using ARENA and the data on traffic could be used to test different setups of traffic directions in order to optimize congestion

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Data Mining

Data mining is the process of extracting patterns from data. Data mining is becoming an increasingly important tool to transform this data into information.

It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery

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K Storage Technologies

Decision Support Systems

~ Transaction Processing Systems are the most common~ TPS deal with data storage and retrieval~ MIS structure data to generate information~ DSS analyze data to generate information

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Components of a DSS~ database~ model~ user interface

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TPS External data

Model

DSSDB

User interfaceuser

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Developing a model requires knowledge and this knowledge will remain stored in the

system

The system will provide managers with the information required to make better

decisions

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Expert Systems

DSS supports managers, but Expert Systems replaces managers

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Expert Systems

Components of an ES~ knowledgebase~ inference engine~ user interface

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K Sharing Technologies

Collaboration Technologies

Group Decision Support Systems

isee Netsim

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K Sharing Technologies

Access to Knowledge Storages

The Internet is playing a major role in providing global access to knowledge

storages

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K Sharing Techniques

Social Networks

Community of Practice (CoP)A group of people who have a particular activity in common, and as a consequence have some common

knowledge, a sense of community identity, and some element of overlapping values

The internet is enabling global CoPs

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K Sharing Techniques

Story Telling

Storytelling is a key leadership technique because it is quick, powerful, free, natural, refreshing, energizing, collaborative, persuasive, holistic, entertaining, moving, memorable and authentic. Stories help us make sense of organizations

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END

MODULE III

1 Knowledge Management Module III KM Technologies and Techniques.

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