Deck 12: Supporting Information-Centric Decision Making

Question 1

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

Answer 1

False

Question 2

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.

Answer 2

False

Question 3

Using artificial intelligence, the manager can build a network of arguments to represent a chain of business reasoning.

Answer 3

False

Question 4

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

Question 5

Expert systems utilize artificial intelligence to solve a problem the way a human expert would.

Question 6

In the mainframe era, the earliest commercial uses of computers aimed to automate decisions such as analyzing sales, updating accounts payable, and calculating payroll.

Question 7

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

Question 8

Reacting quickly to new information to gain a competitive edge is referred to as straight-through processing.

Question 9

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

Question 10

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

Question 11

Decision support systems usually utilize detail transaction level data.

Question 12

Neural networks are a type of expert system.

Question 13

Data mining requires significant amounts of detailed data.

Question 14

Decision support systems do not require end-user interfaces as they solve problems automatically.

Question 15

Data mining uncovers unknown patterns and correlations in data.

Question 16

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

Question 17

Comparing a current problem to thousands of prior problems is referred to as case-based reasoning.

Question 18

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

Question 19

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

Question 20

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

Question 21

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

A) dialog component
B) simulation component
C) model component
D) data component

Question 22

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

Question 23

________ 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

Question 24

________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

Question 25

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

A) dialog component
B) simulation component
C) model component
D) data component

Question 26

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

A) transactional
B) institutional
C) quick-hit
D) administrative

Question 27

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

Question 28

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

Question 29

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

Question 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

Question 31

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

Question 32

________ 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

Question 33

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.

Question 34

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.

Question 35

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

Question 36

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

Question 37

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

Question 38

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

Question 39

Expert systems are real-world applications of:

A) Market Intelligence
B) IT Intelligence
C) Artificial Intelligence
D) Business Intelligence.

Question 40

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.

Question 41

Briefly describe data mining.

Question 42

Describe the components of an expert system.

Question 43

Describe the architectural components of a decision support system.

Question 44

Describe the concept of a real-time enterprise.

Question 45

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

Question 46

Define and describe the concept of a communicating object.

Question 47

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

Question 48

Describe an Executive Information System.

Question 49

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

Question 50

Identify five problems in developing an EIS.