Managing Knowledge Chapter 11
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Questions and Answers

Firms can create competitive advantage through the application of explicit knowledge.

False

Knowledge can be transferred easily across different locations and contexts.

False

Organizational learning involves the process of creating new business processes and changing management decision-making patterns.

True

Knowledge management involves only the creation of knowledge.

<p>False</p> Signup and view all the answers

The knowledge management value chain adds value to raw data and information by transforming them into usable knowledge.

<p>True</p> Signup and view all the answers

Wisdom involves only individual experience of applying knowledge to solve problems.

<p>False</p> Signup and view all the answers

Intelligent techniques are used to distill knowledge.

<p>True</p> Signup and view all the answers

Enterprise-Wide Knowledge Management Systems have two major types of knowledge.

<p>False</p> Signup and view all the answers

Knowledge work systems are built for managers.

<p>False</p> Signup and view all the answers

Semistructured documents include videos.

<p>True</p> Signup and view all the answers

There are two major categories of knowledge management systems.

<p>False</p> Signup and view all the answers

Virtual reality systems are used to simulate real-life environments.

<p>True</p> Signup and view all the answers

CAD is an example of investment workstations.

<p>False</p> Signup and view all the answers

VRML is a type of virtual reality system.

<p>True</p> Signup and view all the answers

Augmented reality is useful for real estate shopping applications.

<p>True</p> Signup and view all the answers

Investment workstations are used to streamline the investment process and consolidate internal and external data for lawyers.

<p>False</p> Signup and view all the answers

An inference engine works by randomly selecting rules from the knowledge base.

<p>False</p> Signup and view all the answers

Forward chaining begins with a hypothesis and asks the user questions until the hypothesis is confirmed or disproved.

<p>False</p> Signup and view all the answers

A knowledge base typically consists of a small set of rules.

<p>False</p> Signup and view all the answers

An expert system is similar to a traditional software program with fewer IF statements.

<p>False</p> Signup and view all the answers

Backward chaining begins with information entered by the user and searches the knowledge base to arrive at a conclusion.

<p>False</p> Signup and view all the answers

An inference engine searches through the rules and fires those rules that are triggered by facts gathered and entered by the user.

<p>True</p> Signup and view all the answers

Fuzzy logic systems use IF-THEN rules to solve problems.

<p>False</p> Signup and view all the answers

Fuzzy logic is used in autofocus cameras.

<p>True</p> Signup and view all the answers

Membership functions in fuzzy logic translate numerical values into linguistic expressions.

<p>False</p> Signup and view all the answers

Fuzzy logic systems are used to control room temperature.

<p>True</p> Signup and view all the answers

Fuzzy logic represents precise values rather than a range of values.

<p>False</p> Signup and view all the answers

Study Notes

GDP and Intangible Assets

  • A significant portion of a firm's stock market value derives from intangible assets, including knowledge, brands, and unique business processes.
  • Well-executed knowledge-based projects can yield extraordinary returns on investment (ROI).

Knowledge as an Asset

  • Knowledge is considered a valuable asset within firms, categorized into intangible resources.
  • The transformation of data and information into knowledge requires organizational resources and collaboration.

Forms of Knowledge

  • Knowledge can be explicit (written) or tacit (personal insights).
  • Different types of knowledge include:
    • Know-how: Practical skills or abilities.
    • Contextual knowledge: Understanding when and how to apply specific knowledge.

The Nature of Knowledge

  • Knowledge exists within specific contexts and locations, making it "sticky" and often tied to an organization's culture.
  • Conditional and contextual knowledge emphasize the appropriateness of applying knowledge in given situations.

Wisdom in Knowledge Management

  • Wisdom encompasses the experience of applying knowledge effectively to solve problems.
  • Unique approaches, such as a distinctive build-to-order production system, provide competitive advantages and profits.

Organizational Learning

  • Organizational learning involves adapting behavior based on experience gained from data collection, measurement, and feedback.
  • Successful learning may lead to new business processes and altered management decision-making patterns.

Knowledge Management

  • Knowledge management comprises processes for creating, storing, transferring, and applying knowledge within an organization.
  • A knowledge management value chain enhances raw data's transformation into useful knowledge.

Knowledge Work Systems (KWS)

  • KWS are specialized systems designed for knowledge workers, such as engineers and scientists, to create and discover new knowledge.
  • Examples include CAD systems for design and virtual reality systems for simulating environments.

Intelligent Techniques

  • Intelligent techniques, including data mining, serve various goals in knowledge management, such as discovering knowledge and optimizing solutions.

Types of Knowledge Management Systems

  • Three main categories of knowledge in enterprise systems:
    • Structured documents: Reports and formal rules.
    • Semi-structured documents: Emails and multimedia.

Expert Systems

  • Expert systems utilize a knowledge base of rules and an inference engine to draw conclusions.
    • Forward chaining starts from user-inputted data to derive conclusions.
    • Backward chaining begins with a hypothesis, querying the user for validation.

Fuzzy Logic Systems

  • Fuzzy logic represents imprecision in language and decision-making, utilizing flexible rules to solve complex problems.
  • Applications of fuzzy logic include autofocus technology, fraud detection, and system control in transportation.

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Description

This quiz covers the importance of knowledge management in a firm, including intangible assets, knowledge creation, and its impact on a firm's stock market value.

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