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43 Cards in this Set

  • Front
  • Back
electronic commerce
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
categories of e-commerce
business-to-consumer
business-to-business
consumer-to-consumer
access control and security
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
profiling and personalizing
profiling-gathers data on you and your website behavior and choices


*used for:
-personalized marketing
-authenticating identity
-customer relationship management
-marketing planning
-website management
search management
search processes help customers find the specific product or service they want
content and catalog management
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
workflow management
*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
event notification
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
collaboration and trading
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
electronic payment processes
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
web payment processes
-shopping cart process
-credit card payment process
-debit and other more complex processes
electronic funds transfer (EFT)
-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
securing electronic payments
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
success factors of e-commerce
-selection and value
-performance and service
-look and feel
-advertising and incentives
-personal attention (one-to-one marketing)
-community relationships
-security and reliability
convert visitors into loyal customers
-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
B2B E-Commerce
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
one to many marketplace
-sell-side marketplaces
-one supplier dictates product offerings and prices
many to one marketplace
-buy-side marketplaces
-many suppliers bid for the business of a buyer
some to many marketplace
-distribution marketplaces
-unites suppliers who combine their product catalogs to attract a larger audience
many to some marketplace
-procurement marketplaces
-unites major buyers who combine purchasing catalogs
-attracts more competition and thus lower prices
many to many
-auction marketplaces
-dynamically optimizes prices
clicks and bricks
success will go to those who can integrate Internet initiatives with traditional operations
-merging operations has trade-offs
multidimensional structure
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)
object-oriented structure
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
hierarchical database structure
-works for structured, routine transactions
-can't handle may-to-many relationship
network database structure
-more flexible than hierarchical
-unable to handle ad hoc requests
relational
-easily responds to ad hoc requests
-easier to work with and maintain
-not as efficient/quick as hierarchical or network
database administrator (DBA)
-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
data dictionary
-contains data about data (metadata)
-relies on specialized software component to manage a database of data definitions
metadata
data about data
database development is a top-down process
-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)
logical design
-schema-overall logical view of relationships
-subschema-logical view for specific end users
-data models for DBMS
physical design
-how data are to be physically stored and accessed on storage devices
data resource management
-managerial activity
-uses data management, data warehousing, and other IS technologies
-manages data resources to meet the information needs of business stakeholders
operational databases
-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
distributed databases
-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
replication
-look at each distributed database and find changes
-apply changes to each distributed database
-very complex
duplication
-one database is master
-duplicate the master after hours, in all locations
-easier to accomplish
external databases
-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
hypermedia databases
contains:
-hyperlinked pages of multimedia
-interrelated hypermedia page elements, rather than interrelated data records
data warehouses
-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
data marts
subsets of data that focus on specific aspects of a company (department or business process)
data mining
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