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Management Information Systems: Solving Business Problems with Information Technology, 3/e
Gerald V. Post, University of the Pacific
David L. Anderson, DePaul U/McGowan Center
Models and Decision Support

Chapter Outline


  1. Overview
  2. Introduction
  3. It Is Hard to Make Good Decisions
    1. Human Biases
    2. Decision Tools
  4. Decision Support Systems
  5. Data: Data Mining
  6. Models: Analytical Processing
  7. Output: Digital Dashboard and EIS
    1. How Does an EIS Work?
    2. Advantages of an EIS
    3. Limitations of an EIS
  8. Decision Support Examples
    1. Marketing
    2. Human Resources Management
    3. Finance
    4. Accounting
  9. Geographical Information Systems
    1. Maps and Location Data
    2. Example
  10. Summary
  11. Key Words
  12. Website References
  13. Additional Reading
  14. Review Questions
  15. Exercises
  16. Cases: Computer Hardware Industry
  17. Appendix: Forecasting
    1. Structural Modeling
    2. Time-Series Forecasts
    3. Exponential Smoothing
    4. Simple Linear Forecasts
    5. Seasonal and Cyclical Components
    6. Exercises




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