Managing Knowledge in the Digital Firm (II) Soetam Rizky.

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Managing Knowledge in the Digital Firm (II) Soetam Rizky

Transcript of Managing Knowledge in the Digital Firm (II) Soetam Rizky.

Page 1: Managing Knowledge in the Digital Firm (II) Soetam Rizky.

Managing Knowledge in the Digital Firm (II)

Soetam Rizky

Page 2: Managing Knowledge in the Digital Firm (II) Soetam Rizky.

Before we start…..

• Knowledge forms ?• Knowledge location ?• Knowledge for organization ?• Learning Management System ?

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Knowledge Workers

Knowledge workers: Create knowledge and information for organization

Key roles: Keeping the organization current in knowledge as it develops in the external world—in technology, science, social thought, and the arts

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Knowledge Workers

Serving as internal consultants regarding the areas of their knowledge

Acting as change agents, evaluating, initiating, and promoting change projects

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Before we continue….

Are you knowledge college students ?

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KNOWLEDGE WORK SYSTEMS

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Quick summary

Knowledge Worker

Agent of change

Valuable

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Intelligent Technique

Knowledge Discovery:

Identification of underlying patterns, categories, and

behaviors in large data sets, using techniques such as neural networks and data

mining

Artificial Intelligence (AI)

technology:

Computer-based systems based on human behavior, with the ability to learn languages, accomplish physical tasks, use a perceptual apparatus, and

emulate human expertise and decision making

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Intelligent Technique

Case-Based

Reasoning (CBR):

Knowledge system that represents knowledge as a database of cases

and solutions

Searches for stored cases with problem

characteristics similar to the new case and

applies solutions of the old case to the new case

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Intelligent Technique

Fuzzy Logic

Systems

Rule-based technology that can represent imprecise values or ranges of values by

creating rules that use approximate or

subjective values

Used for problems that are difficult to represent

by IF-THEN rules

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Intelligent Technique

Genetic Algorithms

Adaptive computation that examines very large number of solutions for a problem to find optimal

solution

Programmed by changing and reorganizing

component parts using processes such as

reproduction, mutation, and natural selection

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Quick summary

Intelligent Technique

Knowledge Discovery

Artificial Intelligence

Expert System

Genetic Algorithm

Fuzzy system

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Before we continue…..

• Just understand it, don’t memorize it……• You must know to know the

opportunities…

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Opportunities & ChallengeProprietary knowledge can create an “invisible

competitive advantage”

Insufficient resources are available to structure and update the content in repositories.

Poor quality and high variability of content quality results from insufficient validating mechanisms.

Content in repositories lacks context, making documents difficult to understand.

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Opportunities & ChallengeOrganizational culture change: how can we change

organizational culture so that people are willing both to contribute knowledge to and use knowledge from a KMS?

How to store tacit knowledge ?

How to measure the tangible and intangible benefits of knowledge ?

Determining the roles of the various personnel in a knowledge effort

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Opportunities & Challenge

Extraordinary leverage and increasing returns.

Uncertain value. It is difficult to estimate the impact of an investment

in knowledge.

Uncertain value of sharing

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Quick summary

Opportunities and

challenge

Invisible, intangible

Sharing risk

Corporate asses

Knowledge Management

Priceless

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Before we finish….

• Do you have knowledge that make you as valuable asset ?• Do you really think your

knowledge is priceless ?

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Questions / Comments ?