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43 Cards in this Set
- Front
- Back
electronic commerce
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online processing of:
-developing -marketing -selling -delivering -servicing -paying for products and other services relies on the Internet and other information technologies to support every step of the process |
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categories of e-commerce
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business-to-consumer
business-to-business consumer-to-consumer |
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access control and security
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e-commerce processes must establish mutual trust and secure access between parties
-user names and passwords -encryption key -digital certificates and signatures restricted access areas -other people's accounts -restricted company data -webmaster administration areas |
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profiling and personalizing
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profiling-gathers data on you and your website behavior and choices
*used for: -personalized marketing -authenticating identity -customer relationship management -marketing planning -website management |
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search management
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search processes help customers find the specific product or service they want
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content and catalog management
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content management software-helps develop, generate, deliver, update, and archive text and multimedia information e-commerce websites
catalog management software-helps generate and manage catalog content catalog and content management software works with profiling tools to personalize content -includes product configuration and mass customization |
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workflow management
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*e-business and e-commerce workflow management depends on a workflow software engine
-contains software model of business processes *workflow models express predefined -sets of business rules -roles of stakeholders -authorization requirements -routing alternative -databases used -task sequences |
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event notification
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most e-commerce applications are event driven
-responds to such things as customer's first website visit and payments -monitors all e-commerce processes -records all relevant events, including problem situations -notifies all involved stakeholders -works in conjunction with user-profiling software |
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collaboration and trading
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processes that support vital collaboration arrangements and trading services
-needed by customers, suppliers, and other stakeholders online communities of interest -e-mail, chat, discussion groups -enhances customer service -builds loyalty |
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electronic payment processes
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complex processes
-near-anonymous and electronic nature of transactions -many security issues -wide variety of debit and credit alternatives -financial institutions may be part of the process |
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web payment processes
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-shopping cart process
-credit card payment process -debit and other more complex processes |
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electronic funds transfer (EFT)
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-major payment system in banking, retail
-variety of information technologies capture and process money and credit card transfers -most point-of-sale terminals in retail stores are networked to bank EFT systems |
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securing electronic payments
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network sniffers easily recognize credit card formats
-encrypt data between customer and merchant -encrypt data between customer and merchant -encrypt data between customer and financial institution -take sensitive information off-line |
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success factors of e-commerce
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-selection and value
-performance and service -look and feel -advertising and incentives -personal attention (one-to-one marketing) -community relationships -security and reliability |
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convert visitors into loyal customers
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-develop one-to-one relationships
-create incentives to encourage registration -use Web cookies to identify visitors -use tracking services to record and analyze website behavior and customer preferences -create an attractive, friendly , efficient store -offer fast order processing and payment -notify when orders are processed and shipped -provide links to related websites |
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B2B E-Commerce
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B2B is the wholesale and supply side of the commercial process
-businesses buy, sell, or trade with other businesses *relies on multiple electronic information technologies |
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one to many marketplace
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-sell-side marketplaces
-one supplier dictates product offerings and prices |
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many to one marketplace
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-buy-side marketplaces
-many suppliers bid for the business of a buyer |
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some to many marketplace
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-distribution marketplaces
-unites suppliers who combine their product catalogs to attract a larger audience |
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many to some marketplace
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-procurement marketplaces
-unites major buyers who combine purchasing catalogs -attracts more competition and thus lower prices |
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many to many
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-auction marketplaces
-dynamically optimizes prices |
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clicks and bricks
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success will go to those who can integrate Internet initiatives with traditional operations
-merging operations has trade-offs |
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multidimensional structure
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variation of relational model
-uses multidimensional structures to organize data -data elements are viewed as being in cubes -popular for analytical databases that support Online Analytical Processing (OLAP) |
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object-oriented structure
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object consists of:
-data values describing the attributes of an entity -operations that can be performed on the data encapsulation -combine data and operations inheritance- new objects can be created by replicating some or all of the characteristics of parent objects used in object-oriented database management systems (OODBMS) supports complex data types more efficiently than relational databases -ex: graphic images, video clips, web pages |
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hierarchical database structure
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-works for structured, routine transactions
-can't handle may-to-many relationship |
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network database structure
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-more flexible than hierarchical
-unable to handle ad hoc requests |
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relational
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-easily responds to ad hoc requests
-easier to work with and maintain -not as efficient/quick as hierarchical or network |
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database administrator (DBA)
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-in charge of enterprise database development
-improves the integrity and security of organizational databases -uses Data Definition Language (DDL) to develop and specify data contents, relationships, and structure -stores these specifications in a data dictionary or a metadata repository |
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data dictionary
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-contains data about data (metadata)
-relies on specialized software component to manage a database of data definitions |
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metadata
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data about data
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database development is a top-down process
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-develop an enterprise model that defines the basic business process of the enterprise
-define the information needs of end users in a business process -identify the key data elements that are needed to perform specific business activities (entity relationship diagrams) |
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logical design
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-schema-overall logical view of relationships
-subschema-logical view for specific end users -data models for DBMS |
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physical design
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-how data are to be physically stored and accessed on storage devices
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data resource management
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-managerial activity
-uses data management, data warehousing, and other IS technologies -manages data resources to meet the information needs of business stakeholders |
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operational databases
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-stores detailed data needed to suport business processes and operations
*also called subject area databases (SADB), transaction databases, and production databases *database examples: customer, human resources, inventory |
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distributed databases
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-copies or parts of databases stored on servers at multiple locations
*improves database performance at worksites -advantages *protection of valuable data *data can be distributed into smaller databases *each location has control of its local data *all locations can access any data, any where disadvantages *maintaining data accuracy |
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replication
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-look at each distributed database and find changes
-apply changes to each distributed database -very complex |
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duplication
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-one database is master
-duplicate the master after hours, in all locations -easier to accomplish |
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external databases
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-databases available for a fee from commercial online services, or free from the Web
*examples: hypermedia databases, statistical databases, bibliographic and full text databases *search engines like Google or Yahoo are external databases |
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hypermedia databases
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contains:
-hyperlinked pages of multimedia -interrelated hypermedia page elements, rather than interrelated data records |
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data warehouses
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-stores static data that has been extracted from other databases in an organization
*data is used for data mining, analytical processing, analysis, research, decision support |
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data marts
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subsets of data that focus on specific aspects of a company (department or business process)
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data mining
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data in data warehouses are analyzed to reveal hidden patterns and trends
*market-basket analysis to identify new product bundles *find root cause of qualify or manufacturing problems *prevent customer attrition *acquire new customers *cross-sell to existing customers *profile customers with more accuracy |