2. 9-1 Supporting Management and Decision Making

3. 9-2 The Managers and Decision Making The Manager’s job Manager decisions and computerized support Modeling and models Computerized decision aids Framework for computerized decision support

4. 9-3 Manager’s Job Manager’s Roles Interpersonal role Informational role Decisional role

5. 9-4 Modeling and Models Iconic (scale) models Analog models Mathematical (quantitative) models Mental models

6. 9-5 Computerized Decision Aids Why managers need the support of IT How to determine the information needs of managers Can the manager’s job be fully automated? What information technologies are available to support managers

7. 9-6 Framework for Computerized Decision Support Structured versus unstructured problems Computer support for structured problems –Management science approach Unstructured problems - decision support systems

8. 9-7 Management Science Approach Define the problem Classify the problem Construct a mathematical model Find alternatives Choose the correct solution

9. 9-8 Decision Support Systems (DSS) DSS concepts Characteristics and capabilities of DSS Structure and components

10. 9-9 Characteristics and Capabilities of DSS Provides support for managers –semistructured and unstructured problems Supports interdependent and / or sequential problems Supports all phases of decision making Adaptable

11. 9-10 Characteristics and Capabilities of DSS Easy to construct Promotes learning Utilizes models –Knowledge components Sensitivity analysis

12. 9-11 Structure and Components

13. 9-12 Corporate Level Decision Support Organizational decision systems Executive Information Systems (EIS) / Executive Support Systems (ESS) Capabilities and characteristics of EIS

14. 9-13 EIS Drivers External factors Internal factors

15. 9-14 EIS Drivers External Factors Increased competition Rapidly changing environment Need to be proactive Need to access external databases Increased government regulations

16. 9-15 EIS Drivers Internal Factors Need for timely information Need for improved communications Need for access to operational data Need for rapid status updates

17. 9-16 EIS Drivers Internal Factors Need for increased effectiveness Need to identify historical trends Need for access to corporate databases Need for accurate information

18. 9-17 Capabilities and Characteristics of EIS Drill down Critical success factors Status access Trend analysis Ad hoc analysis

19. 9-18 Capabilities and Characteristics of EIS Exception reporting Types and Issues Intelligent EIS Integration with DSS

20. 9-19 Advanced Decision Support Topics Online Analytical Processing (OLAP) Simulation Visual interactive models and DSS DSS, EIS and Internet connection Supporting idea generation and creativity

21. 9-20 Simulation To simulate means to assume the appearance of characteristics of reality. Simulation generally refers to a technique for conducting experiments (“what if”) with a digital computer on a model management system (MMS)

22. 9-21 Simulation Advantages Show the effect of compressing time Descriptive Can handle an extremely wide variation in problem types Help select the appropriate variables and alternatives Inclusion of real-life complexities of problems

23. 9-22 Visual Interactive Modeling (VIM) and DSS VIM uses computer graphic displays to represent the impact of different management or operational decisions on goals. The most active area of VIM is visual interactive simulation (VIS).

24. 9-23 Supporting Idea Generation and Creativity Manual methods Computer-based methods Idea-generation software

25. 9-24

26. 9-25 Managerial Issues Intangible benefits Documenting personal DSS Security Ready-made commercial DSS Intelligent DSS Organizational culture Ethical issues

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