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Electronic Commerce Tenth Edition

Chapter 6 Social Networking, Mobile Commerce, and Online Auctions

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Learning Objectives

In this chapter, you will learn:

How social networking emerged from virtual communities

How social networking tools such as blogs are used in online business activities

About mobile technologies that are now used to do business online

How online auctions and auction-related businesses have become a major new commercial activity introduced as part of electronic commerce

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From Virtual Communities to Social Networks

Online Web communities

Not limited by geography

Individuals and companies with common interests

Meet online and discuss issues, share information, generate ideas, and develop valuable relationships

Companies make money by serving as relationship facilitators

Combine Internet’s transaction cost-reduction potential with a communication facilitator role

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Virtual Communities

Virtual community (Web community, online community)

Gathering place for people and businesses

No physical existence

Early virtual communities

Bulletin board systems (BBSs)

Revenue source: monthly fees and selling advertising

Usenet newsgroups

Message posting areas on usenets

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Virtual Communities (cont’d.)

Current forms

Web chat rooms

Sites devoted to specific topics or general exchange of information, photos, videos

People connect and discuss common issues, interests

Considerable social interaction

Relationship-forming activities

Similar to physical communities

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Early Web Communities

1985: WELL (“whole earth ‘lectronic link”)

Monthly fee to participate in forums and conferences

1999 bought by Salon.com

1995: Beverly Hills Internet virtual community site

Offered webcams, free Web site space

Grew into GeoCities

Revenue source: advertising, pop-up pages

1999: purchased by Yahoo! ($5 billion)

Closed in 2009

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Early Web Communities (cont’d.)

1995: Tripod virtual community

Offered free Web page space, chat rooms, news, weather updates, health information pages

Revenue source: sold advertising

1995: Theglobe.com Cornell University class project

Included bulletin boards, chat rooms, discussion areas, personal ads

Added more features

Revenue source: sold advertising

Most early Web community businesses closed

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Social Networking Emerges

As the Internet and Web grew:

Experience of sharing new online communication faded

New phenomenon in online communication began

Multiple common bonds joined people with all types of common interests

Social networking sites

Allow individuals to create and publish a profile, create a list of other users with whom they share a connection (or connections), control that list, and monitor similar lists made by other users

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Social Networking Emerges (cont’d.)

Social networking sites

Six Degrees (1997)

Friendster (2002)

Had features found in today’s social networking sites

LinkedIn: devoted to business connections

Tribe.net

YouTube: popularized video inclusion

MySpace: popular with younger Web users

Twitter

Users can send short messages to other users who sign up to follow their messages (tweets)

Google+

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Social Networking Emerges (cont’d.)

Basic idea behind social networking

People invited to join by existing members

Site provides directory

New members work through friends established in the community

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FIGURE 6-1 Social networking Web sites

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© Cengage Learning 2013

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FIGURE 6-2 Leading social networking sites around the world

© Cengage Learning 2013

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Social Networking Emerges (cont’d.)

Web logs (Blogs)

Web sites containing individual commentary on current events or specific issues

Form of social networking site

Twitter: microblog

Very informal; tweets limited to 140 characters

Early blogs focused on technology topics

2004: blogs used as political networking tool

2008: all major candidates using blogs

Communicating messages, organizing volunteers, raising money, meetups

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Social Networking Emerges (cont’d.)

Retailers embracing blogs

Way to engage visitors not ready to buy from site

Marketing and supply managers saw social networking benefits of enhancing B2B relationships

Business uses

CNN

Blog information included in television newscasts

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Social Networking Emerges (cont’d.)

Business uses (cont’d.)

Newspapers

Inviting information and opinion contributions

Targeting 18- to 35-year-old generation

Participatory journalism

Trend toward having readers help write the online newspaper

Blogs can become businesses in themselves

Must generate financial support (fees, advertising)

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Social Networking Emerges (cont’d.)

Social networking Web sites for shoppers

Social shopping

Practice of bringing buyers and sellers together in a social network to facilitate retail sales

Example: craigslist

Operated by not-for-profit foundation

All postings free (except help wanted ads)

Example: Etsy Web site

Marketplace for selling handmade items

We Love Etsy: Etsy buyers, sellers share information

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Social Networking Emerges (cont’d.)

Idea-based social networking

Social networking sites form communities based on connections among people

Idea-based virtual communities

Communities based on connections between ideas

Idea-based networking

Participating in idea-based virtual communities

Examples: del.icio.us site, 43 Things site

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Social Networking Emerges (cont’d.)

Virtual learning networks

Distance learning platforms for student-instructor interaction (Blackboard)

Tools include:

Bulletin boards, chat rooms, drawing boards

Moodle and uPortal

Open-source software projects devoted to virtual learning community development

Open source software

Developed by a programmer community

Software available for download at no cost

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Revenue Models for Social Networking Sites

Late 1990s

Revenue created by selling advertising

Used by virtual communities, search engine sites, Web directories

1998

Purchases and mergers occurred

New sites still used advertising-only revenue-generation model

Included features offered by virtual community sites, search engine sites, Web directories, other information-providing and entertainment sites

Web portal goal: every Web surfer’s doorway to Web

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Revenue Models for Social Networking Sites (cont’d.)

Advertising-supported social networking sites

Smaller sites with specialized appeal

Can draw enough visitors to generate significant advertising revenue

Example: I Can Has Cheezburger site

Recall from Chapter 3

Sites with higher number of visitors can charge more

Stickiness: important element in site’s attractiveness

Rough measure of stickiness

Time user spends at the site

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FIGURE 6-3 Popularity and stickiness of leading Web sites

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Revenue Models for Social Networking Sites (cont’d.)

Advertising-supported social networking sites (cont’d.)

Social networking sites

Members provide demographic information

Potential for targeted marketing: very high

High visitor counts

Can yield high advertising rates

Second-wave advertising fees

Based less on up-front site sponsorship payments

Based more on revenue generation from continuing relationships with people who use the social networking sites

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Revenue Models for Social Networking Sites (cont’d.)

Mixed-revenue and fee-for-service social networking sites

Most social networking sites use advertising

Some charge a fee for some services

Examples: Yahoo! All-Star Games package, Yahoo! premium e-mail service

Monetizing

Converting site visitors into fee-paying subscribers or purchasers of services

Concern: visitor backlash

More examples: The Motley Fool and TheStreet.com

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Revenue Models for Social Networking Sites (cont’d.)

Fee-based social networking

Google Answers site

Early attempt to monetize social networking

Questions answered for a fee

Google operated service from 2002 to 2006

Similar free services

Yahoo! Answers, Amazon (Askville)

Uclue (paid researchers earn 75 percent of total fee)

Advocates claim better quality

Fee-based Web sites can generate revenue by providing virtual community interaction

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Revenue Models for Social Networking Sites (cont’d.)

Microlending sites

Function as clearinghouses for microlending activity

Microlending

Practice of lending very small amounts of money

Lend to people starting or operating small businesses (especially in developing countries)

Microlending key element

Working within social network of borrowers

Provide support, element of pressure to repay

Examples: Kiva and MicroPlace

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Revenue Models for Social Networking Sites (cont’d.)

Internal social networking

Provide social interaction among organization’s employees

Run on organization’s intranet

Save money (less paper)

Provide easy access to employee information

Good for geographically dispersed employees

Adding wireless connectivity

Combine second-wave technology with first-wave business strategy

Wireless communications with internal Web portals

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Mobile Commerce

Short messaging service (SMS)

Allows mobile phone users to send short text messages to each other

2008: United States developments allowing phones as Web browsers

High-speed mobile telephone networks grew dramatically

Manufacturers offered range of smart phones with Web browser, operating system, applications

Potential for mobile commerce (m-commerce)

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Mobile Operating Systems

Japan and Southeast Asia mobile commerce

Much larger online business activity

Had high-capacity networks before U.S.

NTT DoCoMo, Japan’s largest phone company

Pioneered mobile commerce in 2000

U.S. mobile commerce beginning in 2008

Introduction of smart phones and high-capacity networks

Smart phone examples: Apple iPhone, Palm Pre, several BlackBerry models

Android operating system

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FIGURE 6-4 Smart phones come in a range of different styles

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Mobile Operating Systems (cont’d.)

Mobile commerce browser display options

Wireless Application Protocol (WAP)

Allows Web pages formatted in HTML to be displayed on small-screen devices

Display a normal Web page on the device

Made possible by increased screen resolution

Example: Apple iPhone

Design Web sites to match specific smart phones

Much more difficult to accomplish

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Mobile Operating Systems (cont’d.)

Mobile commerce browser display options (cont’d.)

Apple, BlackBerry, Palm

Use proprietary operating systems

HTC, Motorola, Nokia

At one time created their own operating systems and software applications

Now use a standard operating system provided by a third party

Most common third-party operating systems

Android, Windows Mobile, Symbian

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Mobile Operating Systems (cont’d.)

Android operating system

Most popular and fastest growing third-party operating system

Developed by Google

Open source

Smart phone operating system

Cannot be deleted/switched by user

Operating system modifications

Jailbreaking (Apple iphone’s operating system)

Rooting (Android operating system)

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FIGURE 6-5 Smart phones operating systems: U.S. market shares

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Mobile Apps

Common operating systems emergence

Occurred due to a change in the way software applications developed and sold

Old U.S. mobile phone company revenue strategy

Control application software (apps)

Apple turned old revenue strategy on its head

AT&T agreed to be sole carrier for iPhone

Apple Apps for iPhone online store

Independent developers create apps and sell them

BlackBerry and Palm followed Apple’s lead

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Mobile Apps (cont’d.)

Recap from Chapter 4

Some mobile app sellers include advertising element

Messages displayed from advertisers

Part of the app screen or in a separate screen

Mobile apps’ advertising space marketed in same way as Web sites’ banner advertising

Companies moving to mobile commerce

Determine suitability of Web site to mobile devices

May be pertinent to develop separate Web site optimized for mobile users

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Mobile Apps (cont’d.)

Mobile phones for online banking

In early stages in the United States

Physicians using smart phones

Read EKGs, managing diabetic patients

Medical students: Epocrates (drug information database)

Phones’ global positioning satellite (GPS) service capabilities

Allow mobile business opportunities

Apps tools/resources

Swebapps, App Inventor, TaskCity

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Tablet Devices

Tablet devices

2010: Apple’s iPad introduced

Smaller than laptop computer; larger than smart phone

Wireless phone carrier’s service or local wireless network Internet connection

Larger screen size better suited for online consumer products purchases

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Mobile Payment Apps

Mobile wallets

Mobile phones functioning as credit cards

Japan’s NTT DoCoMo phones combined capabilities

Generate significant business

Widespread credit card use in U.S. has limited use of mobile phone payments

2011: Phone readers offered by American Express, Visa, MasterCard

Google Wallet for Android phones introduced

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Online Auctions

Business opportunity perfect for the Web

Auction site revenue sources

Charging both buyers and sellers to participate

Selling advertising

Targeted advertising opportunities available

Online auctions capitalize on Internet’s strength

Bring together geographically dispersed people sharing narrow interests

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Auction Basics

From Babylon to the Roman Empire to Buddhists

Common activity of 17th century England

Sotheby’s (1744), Christie’s (1766), colonial auctions

Auction: seller offering item for sale

Bids: price potential buyer willing to pay

Bidders: potential buyers

Private valuations: amounts buyer willing to pay

Auctioneer: manages auction process

Shill bidders: work for seller or auctioneer

May artificially inflate price

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Auction Basics (cont’d.)

English auctions

Bidders publicly announce successively higher bids

Item sold to highest bidder (at bidder’s price)

Also called ascending-price auction

Open auction (open-outcry auction)

Bids publicly announced

Minimum bid

Beginning price

If not met, item removed (not sold)

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Auction Basics (cont’d.)

English auctions (cont’d.)

Reserve price (reserve)

Seller’s minimum acceptable price

Not announced

If not exceeded, item withdrawn (not sold)

Yankee auction

Multiple item units offered for sale (bidders specify quantity)

Highest bidder allotted bid quantity

Remaining items allocated to next highest bidders until all items distributed

Bidders pay lowest successful bidder price

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Auction Basics (cont’d.)

English auctions (cont’d.)

Seller drawback

May not obtain maximum possible price

Buyer drawback

Winner’s curse psychological phenomenon

Bidder gets caught up in competitive bidding excitement

Bids more than their private valuation

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Auction Basics (cont’d.)

Dutch auctions

Open auction

Bidding starts at a high price

Drops until bidder accepts price

Also called descending-price auctions

Seller offers number of similar items for sale

Common implementation

Use a clock (price drops with each tick)

Bidders stop clock and take items at the given price

If items remain, clock restarted

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Auction Basics (cont’d.)

Dutch auctions (cont’d.)

Often better for the seller

Quickly move large numbers of commodity items

Successful examples:

Google initial public offering stock sale (2004)

LookSmart stock repurchase

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Auction Basics (cont’d.)

First-price sealed-bid auctions

Sealed-bid auctions

Bidders submit bids independently

Prohibited from sharing information

First-price sealed-bid auction

Highest bidder wins

If multiple items auctioned, next highest bidders awarded remaining items at their bid price

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Auction Basics (cont’d.)

Second-price sealed-bid auction

Same as first-price sealed-bid auction

Except highest bidder awarded item at second-highest bidder price

Commonly called Vickrey auctions

William Vickrey: 1996 Nobel Prize in Economics

Findings:

Yields higher seller returns

Encourages all bidders to bid private valuation amounts

Reduces tendency for bidder collusion

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Auction Basics (cont’d.)

Open-outcry double auctions

Example: Chicago Board of Trade auctions of commodity futures and stock options

Buy and sell offers shouted by traders in trading pit

Each commodity, stock option traded in own pit

Quite frenzied

Double auctions (either sealed bid or open outcry)

Good for items of known quality traded in large quantities

No item inspection before bidding

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Auction Basics (cont’d.)

Double auctions

Buyers, sellers submit combined price-quantity bids

Auctioneer

Matches sellers’ offers

Starts with lowest price and then goes up

To buyers’ offers

Starts with highest price and then goes down until all quantities offered are sold

Operation format: Sealed bid or open-outcry

Example: New York Stock Exchange

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Auction Basics (cont’d.)

Reverse (seller-bid) auction

Multiple sellers submit price bids

Auctioneer represents single buyer

Bids for given amount of specific item to purchase

Prices go down as bidding continues

Until no seller willing to bid lower

Occasionally operated for consumers

Most involve businesses as buyers and sellers

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FIGURE 6-6 Key characteristics of seven major auction types

Click to edit Master text styles

Second level

Third level

Fourth level

Fifth level

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Online Auctions and Related Businesses

Online auction business: rapidly changing

Three auction Web site categories

General consumer auctions

Specialty consumer auctions

Business-to-business auctions

Varying opinions on categorizing consumer auctions

Business-to-consumer

Consumer-to-consumer

Consumer-to-business

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Online Auctions and Related Businesses (cont’d.)

General consumer auctions

eBay: registration required, seller fees, rating system

Seller’s risk: buyer uses stolen credit card; buyer fails to conclude transaction

Buyer’s risk: no item delivery; misrepresented item

Most common auction format: English auction

Seller may set reserve price

Bidders listed: bids not disclosed (until auction end)

Continually updated high bid amount displayed

Private auction option available

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Online Auctions and Related Businesses (cont’d.)

General consumer auctions (cont’d.)

Another eBay auction format: Dutch auction

Both formats require minimum bid increment

Amount by which one bid must exceed previous bid

Proxy bid

Bidder specifies maximum bid

May cause bidding to rise rapidly

eBay stores

Integrated into auction site

Sellers generate additional profits

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Online Auctions and Related Businesses (cont’d.)

Competition in general consumer auctions

eBay’s success due to unspecified audience

Also spends $1 billion per year to market and promote Web site

Major determinants of Web auction site success

Attracting enough buyers and sellers

Yahoo! Auction operation closed in 2007

Amazon.com with “Auctions Guarantee”

Offered buyer protection through escrow service

Closed in 2006

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Future challengers to eBay

Must overcome lock-in effect

New auction participants inclined to patronize established marketplaces

Example: Japanese general consumer auction

Yahoo! first to enter market

Now dominates (more than 90% market share)

eBay maintains low market share (less than 3%)

Online Auctions and Related Businesses (cont’d.)

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Specialty consumer auctions

Identify special-interest market targets

Create specialized Web auction sites

No need to compete with eBay

Examples:

JustBeads.com, Cigarbid.com, Winebid

Online Auctions and Related Businesses (cont’d.)

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Consumer reverse auctions

Reverse bid

Visitor describes desired items or services

Site routes visitor to participating merchants

Reply to visitor by e-mail

Offer item at particular price

Buyer accepts

Lowest offer

Offer best matching buyer’s criteria

All these types of sites now closed

Online Auctions and Related Businesses (cont’d.)

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Consumer reverse auctions (cont’d.)

Priceline.com

Considered a seller-bid auction site

Visitor states desired airline ticket, car rental, hotel room price

If sufficiently high price: transaction completed

Many transactions come from inventory

Priceline operates more as a liquidation broker

Online Auctions and Related Businesses (cont’d.)

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Group shopping sites

Also known as group purchasing site

Seller posts item with tentative price

Individual buyers enter bids

Agreement to buy one unit (no price provided)

Site negotiates with seller for lower price

Posted price decreases

As number of bids increases (only if number of bids increases)

Result: buyers force seller to reduce price

Similar to consumer reverse auction

Online Auctions and Related Businesses (cont’d.)

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Group shopping sites (cont’d.)

Well-suited product types

Branded products, well-established reputations

Produces buyer confidence of good bargain

High value-to-size ratio, non-perishable

Disadvantages

Difficulty attracting sellers’ interest

Well-suited companies

Find no advantage, fear sites cannibalize product sales, reluctant to offend current distributors

Mercata and LetsBuyIt sites closed

Successful sites: Groupon, LivingSocial, Gilt

Online Auctions and Related Businesses (cont’d.)

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Business-to-business auctions

Evolved to meet specific existing need

Excess inventory disposal (manufacturing)

Two methods

Liquidation specialists: find buyers for unusable items

Liquidation brokers: firms that finds buyers for items

Online auctions

Logical extension of these inventory liquidation activities to a new and more efficient channel (Internet)

Online Auctions and Related Businesses (cont’d.)

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Business-to-business auctions (cont’d.)

Emerging business-to-business Web auction models

Large-company model: creates own auction site

Small-company model: uses third-party Web auction site instead of liquidation broker

Both are direct descendants of traditional methods

Online Auctions and Related Businesses (cont’d.)

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Business-to-business auctions (cont’d.)

Third emerging business-to-business Web auction model

New business entity enters market lacking efficiency and creates a site at which buyers and sellers who have not historically done business with each other can participate in auctions

Resembles consumer online auctions

Example: hospitals using online auctions to fill temporary employment openings

Online Auctions and Related Businesses (cont’d.)

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Business-to-business reverse auctions

Example: Owens Corning purchases

Examples: Agilent, Bechtel, Boeing, Raytheon, Sony

Potential disadvantage

Suppliers compete on price alone

Cut corners on quality or miss scheduled delivery dates

Potential advantage

Useful for nonstrategic commodity items with established quality standards

Online Auctions and Related Businesses (cont’d.)

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Business-to-business reverse auctions (cont’d.)

Companies opting out

Cisco, Cubic, IBM, Solar Turbines

If suppliers do not participate:

Impossible to conduct reverse auctions

If competition high among suppliers:

Reverse auctions provide efficient way to conduct, manage price bidding

Online Auctions and Related Businesses (cont’d.)

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FIGURE 6-7 Supply chain characteristics and reverse auctions

Click to edit Master text styles

Second level

Third level

Fourth level

Fifth level

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Auction-Related Services

Entrepreneurs encouraged by eBay and other auction site growth

Provide various kinds of auction-related services

Escrow services

Auction directory and information services

Auction software (for sellers and buyers)

Auction consignment services

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Auction-Related Services (cont’d.)

Auction escrow services

Buyers’ common concern: seller reliability

Buyers protect interests in high-value items

Independent party holds payment until:

Buyer receives item

Buyer satisfied item is as expected

May take delivery of item from seller

Perform buyer inspection (qualified to do so)

Charge fees

Percent of item’s cost, subject to minimum fee

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Auction-Related Services (cont’d.)

Auction escrow services (cont’d.)

Examples: Escrow.com, eDeposit

May sell auction buyer’s insurance

Protect buyers from nondelivery and quality risks

Avoid escrow fraud

Determine if licensed, bonded (licensing agency)

Avoid offshore escrow companies entirely

Other buyer protections

Check seller’s rating

Use Web site listings of unreliable sellers

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Auction-Related Services (cont’d.)

Auction directory and information services

Example: AuctionBytes

Publishes e-mail newsletter

Online auction industry articles

Example: Price Watch

Advertiser-supported site

Advertisers post current selling prices

Computer hardware, software, electronics

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Auction-Related Services (cont’d.)

Auction software

Target: sellers

Helps manage online auctions

Example: AuctionHawk and Vendio

Seller management software and services

Automate tasks

Create attractive page layouts

Manage hundreds of auctions

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Auction-Related Services (cont’d.)

Auction software (cont’d.)

Target: buyers

Helps manage online auctions

Sniping software

Observes auction progress until last second

As auction expires: places bid high enough to win (unless bid exceeds sniping software owner’s limit)

Snipe: act of placing winning bid at the last second

Almost always wins out over human bidder

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Auction-Related Services (cont’d.)

Auction software (cont’d.)

Example: Cricket Sniping Software site

Created in 1997 by David Eccles

Companies offer sniping service

Sniping software runs on company Web site

Customer enters instructions on site

Company may offer subscriptions

Company may offer mixed-revenue model

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Auction-Related Services (cont’d.)

Auction consignment services

Target: people and small businesses

Want to use online auction

Do not have skills, time to become a seller

Auction consignment services

Take item and create online auction for that item

Handle transaction

Remit proceeds balance (after deducting fee)

Main auction consignment businesses

ePowerSellers, iSold It

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Summary

Companies using the Web for entirely new things

Creating social networks

Using mobile technologies to make sales and increase operational efficiency

Operating auction sites

Conducting related businesses

Businesses creating online communities to connect with customers and suppliers

Individuals using social networking sites

Personal and business-related interactions

Mobile commerce opportunities emerging

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Summary (cont’d.)

Companies’ internal social networking sites

Facilitate employee communication

Online auctions used to sell goods to customers and buy from suppliers

Seven major auction types

Consumer online auction business dominated by eBay (United States)

Ancillary service businesses support auctions

B2B auctions and reverse auctions

New methods of inventory disposal, procurement

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