- Shuffle
Toggle OnToggle Off
- Alphabetize
Toggle OnToggle Off
- Front First
Toggle OnToggle Off
- Both Sides
Toggle OnToggle Off
Front
How to study your flashcards.
Right/Left arrow keys: Navigate between flashcards.right arrow keyleft arrow key
Up/Down arrow keys: Flip the card between the front and back.down keyup key
H key: Show hint (3rd side).h key
PLAY BUTTON
PLAY BUTTON
83 Cards in this Set
- Front
- Back
|
• e-business model
|
an approach to conducting electronic business on the Internet
|
|
• e-marketplaces
|
interactive business communities providing a central marketplace where multiple buyers and sellers can engage in e-business
|
|
• Web mashup
|
a Web site or Web application that uses content from more than one source to create a completely new service
|
|
• application programming interface (API)
|
a set of routines, protocols, and tools for building software applications
|
|
• mashup editors
|
WSYIWYG for mashups
|
|
• disruptive technology
|
a new way of doing things that initially does not meet the needs of existing customers
|
|
• sustaining technology
|
produces an improved product customers are eager to buy, such as a faster car or larger hard drive
|
|
• World Wide Web (WWW)
|
a global hypertext system that uses the Internet as a transport mechanism
|
|
• Hypertext transport protocol (HTTP)
|
the Internet standard that supports the exchange of information on the WWW
|
|
• information richness
|
the depth and breadth of information transferred between customers and businesses
|
|
• semantic Web
|
an evolving extension of the WWW in which Web content can be expressed not only in natural language, but also in a format that can be read and used by software agents
|
|
service-oriented architecture (SOA)
|
a collection of services that communicate with each other, for example
|
|
• enterprise resource planning (ERP)
|
an enterprise-wide information system designed to coordinate all the resources, information, and activities needed to complete business processes such as order fulfillment or billing
|
|
• middleware
|
several different types of software that sit in the middle of and provide connectivity between two or more software applications
|
|
• enterprise application integration (EAI) middleware
|
represents a new approach to middleware by packaging together commonly used functionality
|
|
• modular and open
|
an ERP system has to have an open system architecture, meaning that any module can be interfaced with or detached whenever required without affecting the other modules
|
|
• three phases in the evolution of CRM
|
reporting, analyzing, predicting
|
|
• operational CRM
|
supports traditional transactional processing for day-to-day front-office operations or systems that deal with the customers
|
|
analytical CRM
|
supports back-office operations and strategic analysis and includes all systems that do not deal directly with the customers
|
|
• five basic supply chain management components
|
plan, source, make, deliver, return
|
|
• supply chain visibility
|
the ability to view all areas up and down the supply chain
|
|
• bullwhip effect
|
when distorted product demand information passes from one entity to the next throughout the supply chain
|
|
• supply chain planning (SCP) software
|
uses advanced mathematical algorithms to improve the flow and efficiency of the supply chain while reducing inventory
|
|
• supply chain execution (SCE) software
|
automates the different steps and stages of the supply chain
|
|
• online transaction processing (OLTP)
|
the capturing of transaction and event information using technology to 1. process information 2. store information 3. update existing information
|
|
• transaction processing system (TPS)
|
the basic business system that serves the operational level (analysts) in an organization
|
|
• online analytical processing (OLAP)
|
the manipulation of information to create business intelligence in support of strategic decision making
|
|
• decision support system (DSS)
|
models information to support managers and business professionals during the decision-making process
|
|
• sensitivity analysis
|
the study of the impact that changes in one part of the model have on other parts of the model
|
|
• what-if analysis
|
checks the impact of a change in an assumption on the proposed solution
|
|
• goal-seeking analysis
|
finds the inputs necessary to achieve a goal such as a desired level of output
|
|
• executive information system
|
a specialized DSS that supports senior level executives within the organization
|
|
• consolidation
|
the aggregation of information and features simple rollups to complex groupings of interrelated information
|
|
• drill-down
|
enables users to get details, and details of details, of information (e.g. monthly, weekly, daily, etc.)
|
|
• slice-and-dice
|
the ability to look at information from different perspectives
|
|
• digital dashboards
|
integrate information from multiple components and tailor the information to individual preferences
|
|
• intelligent systems
|
commercial applications of artificial intelligence
|
|
• expert systems
|
computerized advisory programs that imitate the reasoning processes of experts in solving difficult problems
|
|
• neural network
|
a category of AI that attempts to emulate the way the human brain works
|
|
• fuzzy logic
|
a mathematical method of handling imprecise or subjective information
|
|
• genetic algorithm
|
an artificial intelligence system that mimics the evolutionary, survival -of-the-fittest process to generate increasingly better solutions to a problem
|
|
• cluster analysis
|
technique used to divide an information set into mutually exclusive groups such that the members of each group are as far apart as possible
|
|
• association detection
|
reveals the degree to which variables are related and the nature and frequency of these relationships in the information
|
|
• market basket analysis
|
analyzes such items as Web sites and checkout scanner information to detect customers' buying behavior and predict future behavior by indentifying affinities among customers' choices of products and choices
|
|
• forecasts
|
predictions made on the basis of time-series information
|
|
• mediating technology
|
interconnects parties that are interdependent
|
|
• Universality of the Internet
|
the Internet's ability to both enlarge and shrink the world
|
|
• network externalities
|
a technology that becomes more valuable to users as more people take advantage of it
|
|
• Metcalfe's law
|
the value of a network increases as the square of the number of people in the network
|
|
• replacement effect
|
the Internet is used to serve the same customers served by the old distribution channel without bringing in new customers
|
|
• extension effect
|
the Internet is used to serve new customers
|
|
• time moderation
|
the Internet's ability to shrink and enlarge time
|
|
• information asymmetry
|
when one party to a transaction has information that another party does not
|
|
• creative destruction
|
the Internet's ability to replace industries (e.g. newspapers)
|
|
• 5-Cs
|
coordination, commerce, community, content, and communication
|
|
• explicit knowledge
|
codified knowledge transmitted over the Internet
|
|
• tacit knowledge
|
acquired largely through personal experience, learning by doing
|
|
• bounded rationality
|
because individuals and organizations are cognitively limited, they may not be able to encode their knowledge into a form that can be transmitted over the Internet
|
|
• backbone
|
a collection of high-speed telecommunications lines that are connected by high speed computers
|
|
• bandwidth
|
the capacity or speed of data transfer the line is capable of carrying per unit time
|
|
• bits
|
digital 1s or 0s
|
|
• digital switch
|
very fast dedicated computers that move "traffic" along backbone lines
|
|
• point of presence (POP)
|
simply a point of access to the network and consists of a switch that knows how to route traffic to the end users connected directly to it
|
|
• telnet
|
remote login capability
|
|
• protocol
|
a specification of how computers exchange information
|
|
• internet value network
|
all the components and their interrelations create value for the end users, the customers, and organizations that actually use the network
|
|
• portals
|
entry and focal sites for consumers and businesses
|
|
• content aggregators
|
media companies and content providers (e.g. AOL)
|
|
• market-maker
|
a neutral intermediary that provides a place to trade and also sets the rules for the market (e.g. eBay)
|
|
• Last Mile providers
|
develop, maintain, and provide the physical connection to consumers
|
|
• application service provider (ASP)
|
a centralized repository for software applications which individuals can "borrow" or "rent" to run on their own computers
|
|
• thin client
|
applications do not reside on the end-user system
|
|
RFM
|
recency, frequency, monetary value
|
|
intelligent agent
|
a special-purpose knowledge-based information system that accomplishes specific tasks on behalf of its users
|
|
descriptive model
|
used to represent the situation at that moment in time
|
|
deterministic model
|
a model for which there is only one possible answer for a given set of inputs
|
|
Metcalf's Law
|
states the value of a network increases exponentially with the number of nodes
|
|
Moore's Law
|
the power of microprocessor technology doubles and its costs of production fall in half every 18 months
|
|
transformation
|
occurs when the number of people using a technology justifies modifying the current business plan
|
|
enterprise information system (EIS)
|
any kind of computing system that is of "enterprise class", typically offering high quality of service, dealing with large volumes of data and capable of supporting some large organization
|
|
decision support systems (DSS)
|
information systems including knowledge-based systems that support decision-making activities
|
|
transaction processing system (TPS)
|
the basic business system that serves the operational level (analysts) in an organization
|
|
transaction cost
|
A set of inefficiencies in the market that add to the price of a service or good
|
