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Management 303 Test 2 > Test 2 > Flashcards

Test 2 Flashcards

1
Q

A plan that details how a company creates, delivers, and generates revenues on the internet

A

Ebusiness Model

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2
Q

Applies to businesses buying from and selling to each other over the Internet.

A

Business to Business

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3
Q

Applies to any business that sells its products or services to consumers over the Internet.

A

Business to Consumer

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4
Q

Applies to any consumer that sells a product or service to a business over the Internet.

A

Consumer to Business

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5
Q

Applies to sites primarily offering goods and services to assist consumers interacting with each other over the Internet.

A

Consumer to Consumer

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6
Q

3 Common Business to Consumer Models

A

Brick and Morter Business
Click and Morter Business
Pure Play (Virtual) Business

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7
Q

Website software that finds other pages based on keyword matching similar to Google

A

Search Engine

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8
Q

Evaluates variables that search engines use to determine where a URL appears on the list of search results

A

Search Engine Ranking

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9
Q

Combines art along with science to determine how to make URLs more attractive to search engines resulting in higher search engine ranking

A

Search Engine Optimization

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10
Q

Ebusiness Revenue Models (5)

A 
Advertising fees
License fees
Subscription fees
Transaction fees
Affiliate model
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11
Q

6 Ebusiness Tools for Connecting and Communicating

A 
Email
IM
Podcasting
Videoconference
Web COnferencing
Connect Management System
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12
Q

4 Challenges of Ebusiness

A

IDentifying Limited Market Segments
Managing Customer Trust
Ensuring Consumer Protection
Adhering to Taxing Rules

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13
Q

3 Managerial decision-making challenges

A

Analyze large amounts of information
Apply sophisticated analysis techniques
Make decisions quickly

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14
Q

Define the problem as clearly and precisely as possible

A

Problem Identification

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15
Q

Gather problem Related data, including who, what, where, when, why and how. Be sure to gather facts, not rumors or opinions about the problem

A

Data Collection

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16
Q

Occur in situations in which a few established processes help to evaluate potential solutions, but not enough to lead to a definite recommended decision

A

Semistructured Decisions

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17
Q

Occurs in situations in which no procedures or rules exist to guide decision makers toward the correct choice

A

Unstructured Decisions

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18
Q

A simplified representation or abstraction of reality

A

Model

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19
Q

What type of decision is a transaction processing system

A

Structured Operational

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20
Q

What type of decision is a decision support system

A

Semistructured Managerial

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21
Q

What type of decision is an executive information system

A

Unstructured Strategic

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22
Q

Basic business system that serves the operational level and assists in making structured decisions

A

Transaction Processing System

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23
Q

Capturing of transaction and event information using technology to process, store, and update

A

ONline transaction Processing

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24
Q

The original transaction record

A

Source Document

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25
Q

Manipulation of information to create business intelligence in support of strategic decision making

A

ONline analytical processing

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26
Q

Models information to support managers and business professionals during the decision-making process

A

Decision Support System

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27
Q

Four quantitative models used by DSSs include

A

What-if analysis
Sensitivity analysis
Goal-seeking analysis
Optimization analysis

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28
Q

A specialized DSS that supports senior level executives within the organization

A

Executive Information System

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29
Q

3 types of EIS

A

Granularity
Visualization
Digital Dashboard

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30
Q

Simulates human intelligence such as the ability to reason and learn

A

Artificial intelligence

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31
Q

Various commercial applications of artificial intelligence

A

Intelligent System

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32
Q

Computerized advisory programs that imitate the reasoning processes of experts in solving difficult problems

A

Expert System

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33
Q

Attempts to emulate the way the human brain works

A

Neutral Network

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34
Q

A mathematical method of handling imprecise or subjective information

A

Fuzzy Logic

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35
Q

An artificial intelligent system that mimics the evolutionary, survival-of-the-fittest process to generate increasingly better solutions to a problem

A

Genetic Algorithm

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36
Q

Software that will search several retailer websites and provide a comparison of each retailer’s offerings including price and availability

A

Shopping Bot

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37
Q

Special-purpose knowledge-based information system that accomplishes specific tasks on behalf of its users

A

Intelligent Agent

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38
Q

A computer-simulated environment that can be a simulation of the real world or an imaginary world

A

Virtual Realtiy

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39
Q

As organizations’ reliance on software grows, so do the business-related consequences of software successes and failures including

A

Increase or decrease revenue
Repair or damage to brand reputation
Prevent or incur liabilities
Increase or decrease productivity

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40
Q

The overall process for developing information systems from planning and analysis through implementation and maintenance

A

Systems Development Life Cycle

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41
Q

7 phases of the SDLC

A 
Planning
Analysis
Design
Development
Testing
Implementation
Maintenance
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42
Q

Involves analyzing end-user business requirements and refining project goals into defined functions and operations of the intended system

A

Analysis Phase

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43
Q

Establishes descriptions of the desired features and operations of the system including screen layouts, business rules, process diagrams, pseudo code, and other documentation

A

Design Phase

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44
Q

Involves taking all of the detailed design documents from the design phase and transforming them into the actual system

A

Development Phase

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45
Q

Involves bringing all the project pieces together into a special testing environment to eliminate errors and bugs, and verify that the system meets all of the business requirements defined in the analysis phase

A

Testing Phase

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46
Q

Involves placing the system into production so users can begin to perform actual business operations with it

A

Implementation Phase

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47
Q

Assess if the entire system meets the design requirements of the users

A

Alpha Testing

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48
Q

Test the system to ensure it is bug-free

A

Development Testing

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49
Q

Verify that separate systems can work together passing data back and forth correctly

A

Integration Testing

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50
Q

Verify that the units or pieces of code function correctly when integrated

A

System Testing

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51
Q

Determine if the system satisfies the user and business requirements

A

User Acceptance Testing

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52
Q

Test individual units or pieces of code for a system

A

Unit Testing

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53
Q

4 Implementations of the systems development life cycle

A

Parallel
Plunge
Pilot
Phased

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54
Q

Uses both the legacy system and new system until all users verify that the new system functions correctly

A

Parallel Implementation

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55
Q

Discards the legacy system and immediately migrates all users to the new system

A

Plunge Implementation

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56
Q

Assigns a small group of people to use the new system until it is verified that it works correctly, then the remaining users migrate to the new system

A

Pilot Implementation

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57
Q

Installs the new system in phases (for example, by department) until it is verified that it works correctly

A

Phased Implementation

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58
Q

Involves performing changes, corrections, additions, and upgrades to ensure the system continues to meet its business goals

A

Maintenance Phase

59
Q

A collection of large, complex data sets, including structured and unstructured data, which cannot be analyzed using traditional database methods and tools and includes the following four common characteristics

A

Big Data

60
Q

4 characteristics of big data

A

variety
veracity
volume
velocity

61
Q

6 types of structured data

A 
Sensor data
Weblog data
Financial data
Click-stream data
Point of sale data
Accounting data
62
Q

6 types of unstructured data

A 
Satellite images
Photographic data
Video data
Social media data
Text message
Voice mail data
63
Q

The two primary computing models that have shaped the collection of big data include:

A

Distributed Computing

Virtualization

64
Q

Processes and manages algorithms across many machines in a computing environment

A

Distributed Computing

65
Q

The creation of a virtual (rather than actual) version of computing resources, such as an operating system, a server, a storage device, or network resources

A

Virtualization

66
Q

3 Focus areas of big data

A

Data Mining
Data Analysis
Data Visualization

67
Q

The process of analyzing data to extract information not offered by the raw data alone

A

Data Mining

68
Q

3 elements of data mining

A

Data
Discovery
Deployment

69
Q

Foundation for data-directed decision making

A

Data

70
Q

Process of identifying new patterns, trends, and insights

A

Discovery

71
Q

Process of implementing discoveries to drive success

A

Deployment

72
Q

A data mining algorithm that analyzes a customer’s purchases and actions on a website and then uses the data to recommend complementary products

A

Recommendation Engine

73
Q

Assigns records to one of a predefined set of classes

A

Classification

74
Q

Determines values for an unknown continuous variable behavior or estimated future value

A

Estimation

75
Q

Determines which things go together

A

Affinity Grouping

76
Q

Segments a heterogeneous population of records into a number of more homogeneous subgroups

A

Clustering

77
Q

Use a variety of techniques to find patterns and relationships in large volumes of information that predict future behavior and guide decision making

A

Data Mining Tools

78
Q

Data mining uncovers patterns and trends such as:

A

Building budgets and other financial information
Detecting fraud by identifying deceptive spending patterns
Finding the best customers who spend the most money
Keeping customers from leaving or migrating to competitors
Promoting and hiring employees to ensure success

79
Q
  • A statement about what will happen or might happen in the future; for example, predicting future sales or employee turnover. Prediction modeling techniques include:
A

Predicition

80
Q

3 modeling of prediction

A

optimization
forecasting
regression

81
Q

is the common term for the representation of multidimensional information

A

Information Cube

82
Q

Mathematical formulas placed in software that performs an analysis on a data set. Algorithms help uncover:

A

Algorithms

83
Q

The process of identifying rare or unexpected items or events in a data set that do not conform to other items in the data set

A

Anomaly Detection

84
Q

A data value that is numerically distant from most of the other data points in a set of data

A

Outliers

85
Q

User goes into an emotional state of over-analysis (or over-thinking) a situation so that a decision or action is never taken, in effect paralyzing the outcome

A

Analysis Paralysis

86
Q

The application of big data analytics to smaller data sets in near-real or real-time in order to solve a problem or create business value

A

Fast Data

87
Q

8 analysis test that data scientists perform

A 
Behavioral analysis
Correlation analysis
Exploratory data analysis
Pattern recognition analysis
Social media analysis
Speech analysis
Text analysis
Web analysis
88
Q

Describes technologies that allow users to “see” or visualize data to transform information into a business perspective

A

Data Visualization

89
Q

Move beyond Excel graphs and charts into sophisticated analysis techniques such as pie charts, controls, instruments, maps, time-series graphs, and more

A

Data Visualization Tools

90
Q

Track corporate metrics such as critical success factors and key performance indicators and include advanced capabilities such as interactive controls allowing users to manipulate data for analysis

A

Business Intelligence Dashboards

91
Q

The next generation of Internet use – a more mature, distinctive communications platform characterized by three qualities

A

Web 2.0

92
Q

3 qualities of Web 2.0

A

Collaboration
Sharing
Free

93
Q

Nonproprietary hardware and software based on publicly known standards that allows third parties to create add-on products to plug into or interoperate with the system

A

Open System

94
Q

3 Characteristics of an open system

A

Source code
Open source
Closed source

95
Q

Created and updated by many users for many users

A

User Contributed Content

96
Q

2 Characteristics of User Contributed

A

Reputation System

Native Advertising

97
Q

Tools that support the work of teams or groups by facilitating the sharing and flow of information

A

Collaboration System

98
Q

Collaborating and tapping into the core knowledge of all employees, partners, and customers

A

Collective Intelligence

99
Q
  • Involves capturing, classifying, evaluating, retrieving, and sharing information assets in a way that provides context for effective decisions and actions
A

Knowledge Management

100
Q

Knowledge-based assets fall into two categories

A

Explicit

Tacit

101
Q

Consists of anything that can be documented, achieved, and codified, often with the help of IT

A

Explicit

102
Q

Knowledge contained in people’s heads

A

Tacit

103
Q

the wisdom of the crowd

A

Crowdsourcing

104
Q

2 forms of crowdsourcing

A

Asynchronous

Synchronous

105
Q

Websites that rely on user participation and user-contributed content

A

Social Media

106
Q

An application that connects people by matching profile information

A

Social Network

107
Q

The practice of expanding your business and/or social contacts by a personal network

A

Social Networking

108
Q

– Specific keywords or phrases incorporated into website content for means of classification or taxonomy

A

Tags

109
Q

Forms of Tags

A

SOcial Tags
Folksonomy
Website bookmark
social bookmarking

110
Q

Tools for Collaborating

A

Blog
Wiki
Mashup

111
Q

An online journal that allows users to post their own comments, graphics, and videos. Popular business examples include Sweet Leaf Tea

A

Blog

112
Q

Collaborative website that allows users to add, remove, and change content. Popular business examples include Wikipedia

A

Wiki

113
Q

Content from more than one source to create a new product or service

A

Mashup

114
Q

Examples of a blog

A

Microblogging

Real Simple Syndication

115
Q

Example of a wiki

A

Network Effect

116
Q

Examples of a mashup

A

Application programming interface

Mashup editor

117
Q

Based on “intelligent” Web applications using natural language processing, machine-based learning and reasoning, and intelligence applications

A

Web 3.0

118
Q

A component of Web 2.0 that describes things in a way that computers can understand

A

Semantic Web

119
Q

Involves the use of strategies and technologies to transform government(s) by improving the delivery of services and enhancing the quality of interaction between the citizen-consumer within all branches of government

A

Egovernment

120
Q

The ability to purchase goods and services through a wireless Internet-enabled device

A

Mobile Business

121
Q

enable the transmission of data over public or private networks.

A

Tellecommuncating Systems

122
Q

a communications systems created by linking two or more devices and establishing a standard methodology by which they can communicate.

A

Network

123
Q

4 Main Principles of Networks

A

Each computer must have a network interface to provide a doorway for information
The network usually has at least one connecting device
The network must have communications media to transport information
Each computer must have software to move information in and out of the computer

124
Q

A typical home network system has

A

An Ethernet network card in each computer or a wireless card in each laptop
Network cables to transmit signals, or no cables for wireless
A DSL or cable modem connection and a broadband/home router

125
Q

an expansion card or PC card that connects your computer to a network

A

NIC (Network Interface Card)

126
Q

the most common type of network interface card

A

Ethernet Card

127
Q

device that allows a computer to use radio waves to access a network
Connects to hub or switch with a cable like a wired computer
May be built into broadband router and not require separate cabling

A

Wireless Access Point

128
Q

a device to connect computers together to share DSL or cable Internet service in a home or small office
One port to plug into DSL or cable connection to connect to the Internet
Usually several ports to build a network for home computers or printers and share Internet connection

A

Broadband or Home Route

129
Q

Makes each computer’s hardware work
Can use Windows
Turn on filesharing to make files available to other computers on the network

A

Software

130
Q

a device that connects computers into a network and repeats all transmissions to every connected computer

A

HUb

131
Q

a device that connects computers and repeats transmissions only to intended recipient

A

Switch

132
Q

a device that connects subnetworks (subnets) of a larger network

A

Router

133
Q

network that serves a building or buildings in a contiguous area

A

Local Area Network (LAN)

134
Q

a set of connected networks serving areas not immediately contiguous

A

Wireless Area Network (WAN)

135
Q

large computer network usually spanning a city

A

Metropolitan Area NEtwork (MAN)

136
Q

The amount of information that can be transferred in a given amount of time
Usually expressed as bits per second (bps)
Higher bandwidths expressed as (gigabytes (GB, terabytes (TB)

A

Bandwidth

137
Q

4 Internet connection types

A

Phone line and DSL modem
Cable TV line and cable modem
Satellite modem
Dedicated high-speed business lines

138
Q

high-capacity telecommunications line capable of providing high-speed Internet service

A

Broadband

139
Q

4 principles of network security

A

Confidentiality
Authenticity
Integrity
Availability

140
Q

information can be obtained only by those authorized to access it
Bank statements, credit reports, employee evaluations
Threatened by capture of network transmissions and easily-guessed passwords

A

Confidentiality

141
Q

information really comes from the source it claims to come from
Military orders, medical diagnoses, stockbroker directions
Threatened by fraudulent e-mails and misspellings of popular Web site names

A

Authenticity

142
Q

information has not been altered
Bank balance, corporate Web site, prescriptions, credit card charges
Threatened by forged network transmissions and faulty server software

A

Integrity

143
Q

a service or resource is available when it’s supposed to be
Mail-order Web site, corporate e-mail server
Threatened by network failures, faulty server software, and high volumes of malicious network traffic

A

Availability

Management 303 Test 2 (1 decks)

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