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II Copyright © 2005 Prenti ce Hall, Inc. 8-1 Information Systems Technology Ross Malaga 8 "Part II Using Information Systems“ Using Information Systems for Decision Making

II Information Systems Technology Ross Malaga 8 "Part II Using Information Systems“ Copyright © 2005 Prentice Hall, Inc. 8-1 Using Information Systems

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Page 1: II Information Systems Technology Ross Malaga 8 "Part II Using Information Systems“ Copyright © 2005 Prentice Hall, Inc. 8-1 Using Information Systems

II

Copyright © 2005 Prentice Hall, Inc.

8-1

Information Systems TechnologyRoss Malaga

8

"Part II Using Information Systems“

Using InformationSystems for

Decision Making

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LEARNING GOALS

• Discuss the problems associated with management decision making.

• Explain the decision-making process.• Describe decision support systems.• Explain how group decision support systems work.• Describe executive information systems.• Discuss artificial intelligence technologies and their

applications.

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8-3Copyright © 2005 Prentice Hall, Inc.

• Expansion is on the horizon.– Three new studios– Five new franchises– Many difficult decisions

• Meredith – Needs help making strategic decisions• Suzanne – Where to locate the new studios?• Leda – How to evaluate potential franchisees?• Mitch – Scheduling and routing sales appointments• Julia – Purchase or lease new buildings?• Miriam – Where should we focus our marketing resources?• Rachel – How do I maintain the right inventory at the right price?• Jim – Needs help with hiring decisions

Using Information Systems for Decision Making

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Decision Making Today• Business decisions are increasingly difficult to make

– Dramatic increase in the internal business data available to managers

– Managers must keep current on vast amounts of data resources on the Internet

– Globalization– The speed of commerce– The increased number of business choices available– Group decision making

• Teams may include members from many companies• Members may have different backgrounds and opinions• Difficult to reach consensus

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Roadblocks to Good Decision Making

• Human cognition– Our mental ability to comprehend and understand

something

• Human perception– Difficulty isolating problems

– Tend to think of only narrow range of possible solution

• Human bias– Tendency to shape responses based on stereotypes,

memory, and current position

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How to Overcome the Roadblocks

• Decision support systems (DSS) are one tool– A computer-based system that supports and improves

human decision making– Helps analyze complex problems– Process vast amounts of analytical data

• Group decision support systems (GDSS)– Tool for supporting team decision making

• Executive information system (EIS)– Computer-based system that supports the decision-making

processes of senior managers

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The Decision-Making Process

• Simon’s model of the decision-making process– Intelligence– Design– Choice

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Intelligence Phase

• Scan the environment for a problem.

• Determine if decision-maker can solve the problem.– Within scope of influence

• Fully define the problem by gathering more information about the problem.

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Design Phase

• Develop a model of the problem.– Determine type of model.– Verify model.

• Develop and analyze potential solutions.

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Choice Phase

• Select the solution to implement.– More detailed analysis of selected solutions

might be needed.– Verify initial conditions.– Analyze proposed solution against real-world

constraints.

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Problem Structure

• Structured problems– We know the proper procedures

• Unstructured problems– We do not know the how to approach any of

the 3 phases

• Semi-structured problems

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Decision Support Systems

• Major components– Data management system

• Internal and external data sources

– Model management system• Typically mathematical in nature

– User interface• How the people interact with the DSS• Data visualization is the key

– Graphs– Charts– Geographic information systems (GIS)

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Modeling Tools and Techniques

• Simulation– Computerized model of the problem

– Used to examine proposed solutions and their impact• Sensitivity analysis

– Determine how changes in one part of the model influence other parts of the model

• What-if analysis– Manipulate variables to see what would happen in given

scenarios

• Goal-seeking analysis– Work backward from desired outcome

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Groups Decision Support Systems

• Having multiple participants in the decision process adds potential problems– Production blocking– Evaluation apprehension– Social loafing– Group think

• GDSS tools contain special tools to overcome these problems

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GDSS Tools

• Brainstorming tools

• Commenter tools

• Categorizing tools

• Idea-ranking tools

• Electronic-voting tools

• Group facilitator

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Executive Information Systems

• Computer-based tool that specifically helps top-level management make strategic decisions– Processes both internal and external data– Presents data in summary form– Drill-down is a key feature – gives the manager

the ability to see more details when needed

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Artificial Intelligence (AI)

• Field of study that explores the development of computer systems that behave like humans– Strong AI – create a computer that can think

like a human– Weak AI – develop computers and programs

that employ thinkinglike features

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Expert Systems

• AI systems that codify human expertise in a computer system– Main goal is to transfer knowledge from one person to

another

– Wide range of subject areas• Medical diagnosis

• Computer purchasing

• Whale watching

– Knowledge engineer elicits the expertise from the expert and encodes it in the expert system

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Expert Systems Components

• Knowledge base

• Inference engine

• User interface

• Explanation system

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Other Artificial Intelligence Technologies

• Neural networks – use software to simulate the neural working of the human brain

• Intelligent agents (bots) – autonomously handle tasks for humans and act on user’s behalf

• Genetic algorithms – Computer instructions that create a population of thousands on potential solutions and evolves the population toward better solutions

• Fuzzy logic – a way to get computers to come closer to the ability to see fine distinctions, not just ones and zeros

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A Neural Network

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Bead Bar Consultant

• How Decision-Making Technologies Affect the Bead Bar.– Meredith – EIS looks to provide needed support and a reality

check on previous decisions– Suzanne – GIS help to determine new studio locations– Leda – Develop a DSS to evaluate franchise applicants– Mitch – Use genetic algorithms to solve the sales

appointment problem– Julia – Use Excel to perform What-if and goal-seeking

analyses– Miriam – Use expert system to determine the best marketing

media– Rachel – Intelligent agents to search for best pricing– Jim – Expert system to assist employees in selecting best

combination of benefits options

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Learning Goals Summary

In this chapter you have learned: The problems associated with management decision making The decision-making process How to describe decision support systems How group decision support systems work How to describe executive information systems About artificial intelligence technologies and their applications