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Chapter 15
Decision-Making Models and
Knowledge Management
15-2
Outline
• Learning objectives
• Information overload
• Knowledge management
• Steps for Better Thinking
• Current topics
15-3
Learning objectives
1. Discuss and give
examples of the concept
of information overload,
including causes,
symptoms, and
countermeasures.
2. Explain the nature of
decision models and
knowledge
management.
3. Explain why those two
topics are important in
the study of accounting
information systems.
4. Describe and apply
Wolcott and Lynch’s
Steps for Better
Thinking.
5. Explain fundamental
concepts associated
with Big Data, data
analytics and cloud
computing.
15-4
Information overload
• Definitions
– The point at which
information
incorporated into a
decision begins to
decline
– Information supplied
exceeds human
processing capacity
• Causes
– Personal factors
– Information
characteristics
– Task and process
parameters
– Organizational design
– Information technology
15-5
Information overload
• Selected countermeasures
– Allow more time to complete important tasks.
– Compress, aggregate, categorize, and
structure information.
– Formalize the language used to describe
information.
– Handle information as it comes to you—don’t
put it off!
– Use graphs and other visual aids.
See the chapter
for a full list.
15-6
Knowledge management
• Definition
The process through
which organizations
generate value from their
intellectual and
knowledge-based assets
• Objectives
1. Create knowledge
repositories.
2. Improve knowledge
access.
3. Enhance the
knowledge
environment.
4. Manage knowledge
as an asset.
15-7
Knowledge
management
1. Create a supportive
organizational culture.
2. Define business goals.
3. Perform a knowledge
audit.
4. Create a visual map.
To create a
knowledge
management
system (KMS),
follow these
seven steps:
15-8
Knowledge
management
5. Develop a knowledge
management strategy.
6. Purchase or build
appropriate tools.
7. Periodically reassess
the value of the KMS
and adjust accordingly.
To create a
knowledge
management
system (KMS),
follow these
seven steps:
15-9
Steps for Better Thinking
• Developmental problem-solving and
decision-making process
• Developed by Wolcott and Lynch
• Applied throughout accounting and other
areas
15-10
Steps for Better Thinking
15-11
Current topics
Big Data Data
analytics
Cloud
computing
15-12
Current
topics • Types of Big Data
– Web and social media
– Machine-to-machine
– Big transaction
– Biometric
– Human-generated
• A specific example may
fit more than one group
Big Data
A collection of data
from traditional and
digital sources inside
and outside your
company that
represents a source
for ongoing
discovery and
analysis
15-13
Current
topics
• Three broad types
– Descriptive
– Predictive
– Prescriptive
• Example tools
– SAS Enterprise Guide
– SAS Enterprise Miner
– R
– SAP HANA
– Excel Miner
Data analytics
Tools decision
makers can use to
analyze Big Data
15-14
Current
topics • Examples
– Google Drive
– Amazon Cloud
• Applications
– Calendar sharing
– Document sharing
– Social networking
– Data backup
Cloud
computing
A general term
for anything that
involves
delivering hosted
services over the
Internet
15-15

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Sppt chap015

  • 1. Copyright © 2016 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education. Chapter 15 Decision-Making Models and Knowledge Management
  • 2. 15-2 Outline • Learning objectives • Information overload • Knowledge management • Steps for Better Thinking • Current topics
  • 3. 15-3 Learning objectives 1. Discuss and give examples of the concept of information overload, including causes, symptoms, and countermeasures. 2. Explain the nature of decision models and knowledge management. 3. Explain why those two topics are important in the study of accounting information systems. 4. Describe and apply Wolcott and Lynch’s Steps for Better Thinking. 5. Explain fundamental concepts associated with Big Data, data analytics and cloud computing.
  • 4. 15-4 Information overload • Definitions – The point at which information incorporated into a decision begins to decline – Information supplied exceeds human processing capacity • Causes – Personal factors – Information characteristics – Task and process parameters – Organizational design – Information technology
  • 5. 15-5 Information overload • Selected countermeasures – Allow more time to complete important tasks. – Compress, aggregate, categorize, and structure information. – Formalize the language used to describe information. – Handle information as it comes to you—don’t put it off! – Use graphs and other visual aids. See the chapter for a full list.
  • 6. 15-6 Knowledge management • Definition The process through which organizations generate value from their intellectual and knowledge-based assets • Objectives 1. Create knowledge repositories. 2. Improve knowledge access. 3. Enhance the knowledge environment. 4. Manage knowledge as an asset.
  • 7. 15-7 Knowledge management 1. Create a supportive organizational culture. 2. Define business goals. 3. Perform a knowledge audit. 4. Create a visual map. To create a knowledge management system (KMS), follow these seven steps:
  • 8. 15-8 Knowledge management 5. Develop a knowledge management strategy. 6. Purchase or build appropriate tools. 7. Periodically reassess the value of the KMS and adjust accordingly. To create a knowledge management system (KMS), follow these seven steps:
  • 9. 15-9 Steps for Better Thinking • Developmental problem-solving and decision-making process • Developed by Wolcott and Lynch • Applied throughout accounting and other areas
  • 11. 15-11 Current topics Big Data Data analytics Cloud computing
  • 12. 15-12 Current topics • Types of Big Data – Web and social media – Machine-to-machine – Big transaction – Biometric – Human-generated • A specific example may fit more than one group Big Data A collection of data from traditional and digital sources inside and outside your company that represents a source for ongoing discovery and analysis
  • 13. 15-13 Current topics • Three broad types – Descriptive – Predictive – Prescriptive • Example tools – SAS Enterprise Guide – SAS Enterprise Miner – R – SAP HANA – Excel Miner Data analytics Tools decision makers can use to analyze Big Data
  • 14. 15-14 Current topics • Examples – Google Drive – Amazon Cloud • Applications – Calendar sharing – Document sharing – Social networking – Data backup Cloud computing A general term for anything that involves delivering hosted services over the Internet
  • 15. 15-15