978-0132437158 Chapter 12

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The Importance of Information Systems Management, 8e (McNurlin/Sprague/Bui)

Chapter 12 Supporting Decision Making

1) Decision support systems are designed to address well-structured problems.

2) Decision support systems are relatively new technology, having first emerged in 1995.

3) Decision support systems do not require end-user interfaces as they solve problems

automatically.

4) Decision support systems usually utilize detail transaction level data.

5) Quick-hit DSSs can only be created using a DSS generator.

6) Data mining uncovers unknown patterns and correlations in data.

7) Data mining requires significant amounts of detailed data.

8) An EIS can scan the environment for the latest competitor information.

9) Expert systems utilize artificial intelligence to solve a problem the way a human expert

would.

10) Comparing a current problem to thousands of prior problems is referred to as case-based

reasoning.

11) Neural networks are a type of expert system.

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12) Simulation-based modeling for studying emergent behavior is referred to as transitional-

based modeling.

13) An enterprise nervous system uses a publish-an- subscribe approach.

14) Reacting quickly to new information to gain a competitive edge is referred to as straight-

through processing.

15) An RFID can tell you what it is attached to and where it is located.

16) Most computer systems have some built-in features that help their users make decisions.

17) In the mainframe era, the earliest commercial uses of computers aimed to automate

decisions such as analyzing sales, updating accounts payable, and calculating payroll.

18) Decision making in organizations has often been seen as a rational and coherent process.

19)

It really does not matter where decision making starts or stops because all the activities are

part of the overall process of solving the problem.

20)

Using artificial intelligence, the manager can build a network of arguments to represent a

chain of business reasoning.

21) Which of the following is used to support decision making?

A) data mining

B) expert systems

C) agent-based modeling

D) All of the above

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22) Management information systems provide:

A) scheduled reports.

B) ad-hoc information requests.

C) the ability to query a database for specific data.

D) All of the above

23) Which component of a DSS links the user to the system?

A) dialog component

B) simulation component

C) model component

D) data component

24) Which component of a DSS performs the analysis of the problem?

A) dialog component

B) simulation component

C) model component

D) data component

25) The data component of a DSS:

A) uses transaction data.

B) is highly detailed.

C) is principally external data.

D) is often a data warehouse.

26) A DSS that is used for ongoing support on a continual basis is called a(n) ________ DSS.

A) transactional

B) institutional

C) quick-hit

D) administrative

27) A DSS that is used for one-time decisions is called a(n) ________ DSS.

A) transactional

B) institutional

C) quick-hit

D) administrative

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28) Which of the following is true of a quick-hit DSS?

A) It can be used to select, sort, and summarize data to meet a specific information

request.

B) It can be used to analyze and print data.

C) It can be created using a DSS generator.

D) All of the above

29) Discovering previously unknown patterns or correlations in data through automated

processes is referred to as:

A) data warehousing.

B) data mining.

C) data analyzing.

D) None of the above

30) Which of the following is true of an EIS?

A) They use graphics to display data in an easy to use fashion.

B) They are a type of DSS.

C) They provide access to summary and drill down data.

D) All of the above

31) Which of the following is a reason for an EIS project to fail?

A) poorly defined information requirements

B) poorly planned evolution

C) lack of executive support

D) All of the above

32) The most significant factor for an installing an EIS is:

A) to improve organizational communication.

B) to attack a critical business problem.

C) to satisfy the requirements of an executive.

D) None of the above

33)

Which of the following is not a component of an expert system?

A) a user interface

B) an inference engine

C) a simulation model

D) a knowledge base

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34)

Which of the following is not a way of representing knowledge?

A) case-based reasoning

B) neural networks

C) rules-based systems

D) All of the above are ways to represent knowledge.

35) Simulation technology that analyzes a large number of variables to study emergent behavior

is called:

A) sandbox modeling.

B) timebox modeling.

C) agent-based modeling.

D) decision-analysis modeling.

36)

ITs role in organizational decision making is to help the user to figure out:

A)

what and how IT can be used to help the decision maker get the information he needs.

B)

better formulate the problem the user is trying to solve.

C)

help the user to clarify their preferences.

D)

help the user to process complex reasoning.

E) All of the above

37)

________is a broad set of concepts, methods, and technologies to improve context-sensitive

business decision making by using information-centric support systems.

A)

Market Intelligence

B)

IT Intelligence

C)

Artificial Intelligence

D)

Business Intelligence

38)

________ is the process of building a model of reality based on a situation that we know the

answer, and try to apply to another situation that we have yet to find the solution.

A) Prototyping

B) Modeling

C) Quick Hitting

D) None of the above

39)

Expert systems are real-world applications of:

A) Market Intelligence

B) IT Intelligence

C) Artificial Intelligence

D) Business Intelligence.

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40)

________ is a way to inform users or systems of an event in real time in a format customized

to their systems or device.

A) Network technology

B) Database technology

C) Portal technology

D) All of the above

41) Describe the architectural components of a decision support system.

42) Briefly describe data mining.

43) Describe an Executive Information System.

44) Identify five problems in developing an EIS.

45) Describe the components of an expert system.

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46) Describe three ways that knowledge can be represented and utilized by an expert system.

47) Describe the concept of a real-time enterprise.

48)

How do enterprise nervous systems differ from past IT system architectures?

49)

Define and describe the concept of a communicating object.

50)

What is modeling? Why is modeling used as a component of decision support systems?

Information Systems Management 8th Edition