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© 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang 14-1 Chapter 14 Electronic Commerce Turban, Aronson, and Liang Decision Support Systems and Intelligent Systems, Seventh Edition

© 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang 14-1 Chapter 14 Electronic Commerce Turban,

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Page 1: © 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang 14-1 Chapter 14 Electronic Commerce Turban,

© 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang

14-1

Chapter 14Electronic Commerce

Turban, Aronson, and Liang Decision Support Systems and Intelligent

Systems, Seventh Edition

Page 2: © 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang 14-1 Chapter 14 Electronic Commerce Turban,

© 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang

14-2

Learning Objectives

• Describe the concepts involved in electronic commerce.• Understand auctions and portal mechanisms.• Know the applications involved in e-commerce.• Learn about electronic market research, eCRM, and online

advertising.• Define collaborative commerce and B2B applications.• Understand e-government activities.• Describe mobile commerce and pervasive computing.• Learn e-commerce infrastructure and support services.• Understand the ethical and legal issues involved in e-

commerce.

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E-commerce Provides Decision Support to Hi-Life Corp. Vignette

• Convenience store chain needs accurate stock count– Overstocking expensive– Understocking results in customer dissatisfaction– Losses due to shrinkage– Manual counts used data collection sheets

• Expensive, labor intensive

• Solution based on handheld computer– Counts entered relayed immediately to headquarters– Bar code scanner employed to shorten process,

minimize errors– Allows for real time product totals– Dramatic reduction in labor involved– Lower inventory levels and quicker response time

Page 4: © 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang 14-1 Chapter 14 Electronic Commerce Turban,

© 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang

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E-commerce

• Process of buying, selling, transferring, exchanging products, services, or information over computer networks

• Pure versus partial– Based on degree of digitization

• Product• Process• Intermediary

– Pure requires all three components to be fully digitized

• Internet versus non-Internet– Most are Internet based– May be value-added networks or local area networks

Page 5: © 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang 14-1 Chapter 14 Electronic Commerce Turban,

© 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang

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E-commerce Transactions

• Business-to-business (B2B)• Business-to-consumer (B2C)• Consumer-to-consumer (C2C)• Consumer-to-business (C2B)• Government-to-citizens (G2C)• Collaborative commerce between partners• Business to employees• Intrabusiness/Intraorganizational

commerce• Mobile commerce (M-commerce)

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Scope of E-commerce

• Applications supported by infrastructure– Hardware– Software

• Messaging, multimedia, interfaces, business services

– Networks• communications

• Support areas– People– Legal and public policy and regulations– Marketing and advertisements– Support services ranging from payments to order

delivery– Business partnerships like joint ventures, e-

marketplaces, affiliations

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Advantages

• Advantages:– Expands marketplace

globally– Expands availability of

resources– Shortens marketing-

distribution channels– Decreases expenses– Reduces inventory– Aids small businesses in

competing– Enables specialized niches– Quicker delivery of

information– Enables individuals to work

from home– Facilitates delivery of public

services

– Allows for purchase of goods at lowered prices

– Enables customization, personalization

– Decreases costs to customers, while increasing their choices

– Allows for 24 hour shopping

– Makes electronic auctions possible

– Enables people to interact in electronic communities

Page 8: © 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang 14-1 Chapter 14 Electronic Commerce Turban,

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Limitations

• Limitations:– Lack of universal standards– Insufficient bandwidth– Software-development tools are still evolving– Integration difficulties– Need for special Web servers in addition to network servers– Accessibility expensive– Unresolved legal issues– Lack of national and international governmental regulations– Lack of mature methodologies to measure benefits and justify– Customer resistance– Security questions– Insufficient number of buyers and sellers for profitable e-

commerce operations

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DSS and E-commerce

• DSS supports e-commerce– DSS allows for scheduling and transportation

optimization– Match buyers to sellers– Improves market operations– Conducts risk analysis– Optimizes selection of transportation routes– Assists in running B2C operations– Data collection– Business intelligence

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DSS and E-commerce

• E-commerce facilitates decision support– Efficient transfer of information– Enhances decision-support process– Data collection and storage

• E-commerce works with DSS– Inventory management– Produce strategic change in call center by integration of

simulation decision support– Marketing database applications and distribution systems– Streaming financial reports– Comparison shopping engines– Data transfer and storage for BI analysis

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E-commerce Mechanisms

• Electronic auctions– Competitive market mechanisms

• Forward auctions– Sellers place offers and buyers make sequential bids

• Reverse auctions– Sellers are invited to submit bids on product or service

buyer wants

• Bartering– Exchange of goods or services without money

transactions• Portals

– Information gateways• Single point of access through Web browser

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Portals

• Commercial– Offer content to broad audiences

• Routine • Little personalization

• Publishing– Based on specific interests

• Extensive search capabilities

• Personal – Target specific filtered information

• Narrow content• Personalized

• Mobile– Accessible through mobile devices

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Portals

• Voice– Audio interfaces– Accessible through phones

• Corporate – Access to business information located both

within and outside of organization • Rich content• Limited communities• Organized focal point

– Suppliers– Customers– Employees– Supervisors

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Business to Consumer Applications

• E-tailing– Storefronts

• General or specialized• May be extensions of physical stores

– E-Malls• Collection of stores under single Internet

address

– Manufacturers may sell direct– Retailers may act as intermediaries

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DSS Support

• Channel conflict resolution through GDSS tools• DSS and GDSS can be used for conflict resolution

on pricing, resource allocation, logistics services• DSS can aid in order fulfillment and logistics of

small quantities• DSS models can foster strategies and determine

viability• Identification of appropriate revenue models• Risk analysis with DSS modeling

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Online Service Industries

• Electronic banking

• International banking

• Securities trading

• Online job market

• Travel

• Real estate

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Market Research

• E-commerce model of consumer behavior– Independent uncontrollable variables

• Personal characteristics– Age, gender, demographics

• Environmental characteristics– Social, cultural, available information, government

regulations, legal constraints

– Intervening variables• Vendor controlled• Market stimuli• E-commerce systems

– Physical environment, logistics support, customer services

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Market Research

– Decision making process• Influenced by independent and intervening

variables• Feeds into buyers’ decisions

– Dependent variables• Buyers’ decisions

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Market Research

– Decision-making process• Generic model

– Identification of needs, information search, evaluation of alternatives, purchase and delivery, after-purchase evaluation

• Consumer decision support system model– Support facilities from CDSS and Internet and

Web produce framework for Web purchasing

• Online buyer decision support model– Customer decision-making guided by Web

purchasing models

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Discovering Customer Desires

• Software agent search engines• Intelligent agents

– Monitor site activity– Searching and filtering agents for customers– Comparison agents

• Electronic questionnaires• Site tracking

– Cookies, Web bugs, spyware

• Collaborative filtering through inference of interest

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E-commerce CRM

• During life cycle of product– Determine customer requirements– Help customer acquire product or service– Ongoing support– Aid in disposal

• Tools available– FAQs– E-mail messaging– Track status of order– Personalization of Web pages and information at

vendor’s site– Chat rooms and communities– Web-based call centers

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Online Advertising

• Media rich, dynamic, interactive• Types

– Banners– Pop-ups and pop-unders– E-mail advertisements– Electronic catalogs and brochures– Advertisement postings in chatrooms, communities, and

newsgroups– Online classifieds

• Issues– Spam

• Permission marketing• Viral marketing

– Passive, mass market advertising• Interactive advertising

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B2B Applications

• Sell-side marketplaces– Private e-marketplaces operated by seller

• Electronic catalogs• Forward auctions

• Buy-side marketplaces– Reverse auction– Third-party bidding marketplace or buyer’s Web

site– Procurement models

• Group purchasing• Desktop purchasing

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B2B Applications

• Electronic exchanges– E-marketplaces with many sellers and buyers

• Types– Systematic sourcing by vertical distributors of

direct materials – Indirect materials sold on “as needed” basis

with dynamic pricing– Systematic sourcing for indirect materials at

fixed pricing– Spot sourcing of services on “as needed” basis

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Collaborative E-commerce

• Non-sales based e-commerce transactions between organizations

• Electronic support of communication, information sharing, joint decision making

• Types– Retailers/suppliers– Vendor-managed inventories supplied to

retailers– Product design– Collaborative manufacturing through

outsourcing of components and subassemblies

Page 27: © 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang 14-1 Chapter 14 Electronic Commerce Turban,

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Collaborative E-commerce

• Collaborative workflow management– Planning and scheduling– Design– New product information– Product-content management– Order management– Sourcing and procurement

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Intrabusiness E-commerce

• B2E– Intranet-enabled business between business

and employees• E-commerce between business units

– Organization units sell and buy materials and products from each other

• E-commerce between corporate employees– Classified ads

• Sales force automation– Empowerment of salespersons

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E-government

• Use of Internet technologies and e-commerce to deliver information and services to citizens– Gives citizens more access to information– Allows for more feedback from citizens– Facilitates fundamental changes in relationships between

citizen and government

• Types– Government-to-citizens (G2C)

• Electronic benefits transfer, payment of taxes

– Government-to-business (G2B)• RFQs, RFBs, reverse auctions

– Government-to-government (G2G)• Sharing of databases, information

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E-learning

• Online delivery of information for educational or training purposes

• Benefits– Eliminates barriers of time, distance, socioeconomic

status– Saves money, reduces travel time– Increases access to experts– Enables large numbers to take classes – Provides on-demand, self-paced learning

• Limitations– Special training for instructors and students– Requires special equipment and support services– Lack of face-to-face interaction

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Customer to Customer E-commerce

• Buyers and sellers not businesses

• Types– Auctions– Classified ads– Personal services– Bartering

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Variants of E-Commerce

• Mobile commerce– E-commerce through use of mobile computing devices

on wireless networks• Advantages

– Mobility– People can be reached at any time

• L-commerce– Location-based mobile commerce

• Information pushed out to recipient based on their current location

• Pervasive computing– Computations become part of the environment

• Embodied in things• Based on intelligent systems

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E-commerce Support Systems

• Electronic payments– Electronic checks– Electronic credit cards– Virtual credit cards– Purchasing cards– Electronic cash

• Stored value money cards• Smart cards with microprocessors• Person-to-person payments

– Payment of bills online

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Security in Electronic Payments

• Authentication of all parties• Protection of data from alteration or

destruction during transmission• Protection from buyer’s unjustified

repudiation• Privacy• Customer safety• Protection of information at seller’s

end

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Order Fulfillment in Electronic Commerce

• Provide customers with ordered goods

• Goods must be quickly packaged, shipped, and delivered

• Payment collection system must be in force

• Handle the return of unwanted or defective merchandise

• Customer relations

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Legal and Ethical Issues

• Fraud– Seller’s and buyer’s

• Buyer protection• Seller protection

– Unwarranted repudiation– Intellectual property rights– Domain names

• Privacy issues– Cookies– Web tracking– Sales of lists– Monitoring e-mails and site visits

• Taxation• Disintermediation• Intellectual Property issues