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In this chapter, you will learn about:
Social networking and online business activities
Using mobile devices to do business online
Online auctions and auction-related businesses
 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
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
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
1985: WELL (“whole earth ‘Electronic 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
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
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
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)
Basic idea behind social networking
People invited to join by existing members
Site provides directory
New members work through friends established in
the community
FIGURE 6-1 Social networking Web sites
Web logs (Blogs)
Web sites containing individual commentary on
current events or specific issues
Form of social networking site
Encourages interaction among people
Visitors add comments
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
Retailers embracing blogs to engage site visitors
Bluefly.com online discount apparel retailer
Flypaper blog
Ice.com online jeweler
Blogs may encourage potential customers to visit online
store
Business uses
CNN
Blog information included in television newscasts
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)
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
Social networking Web sites for shoppers (cont’d.)
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
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
Web portals
Combine portal and social networking features
Typical portal offerings
Search engines, directories, free e-mail, news stories,
weather reports
Social networking elements
Games and chat rooms
Allow site visitors to interact with each other
Examples:
Yahoo!, AOL, MSN
By 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
Goal: be every Web surfer’s doorway to the Web
Advertising-supported social networking sites
Smaller sites with specialized appeal
Can draw enough visitors to generate significant
advertising revenue
Example: I Can Has Cheeseburger 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
FIGURE 6-2 Popularity and stickiness of leading Web sites
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
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
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
Micro lending sites
Function as clearinghouses for micro lending activity
Micro lending
Practice of lending very small amounts of money
Lend to people starting or operating small businesses
(especially in developing countries)
Micro lending key element
Working within social network of borrowers
Provide support, element of pressure to repay
Examples: Kiva and Micro Place
Internal virtual communities
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
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
Japan and Southeast Asia mobile commerce
Much larger online business activity
Had high-capacity networks early on
Mobile wallets
Mobile phones functioning as credit cards
Japan’s NTT Do Como phones combined capabilities
Generate significant business
United States mobile commerce capabilities began in
2008
Smart phone and high-capacity network introductions
Mobile commerce smart phone examples
Apple iPhone, Palm Pre, several BlackBerry models
Use the Android operating system
Provide serious U.S. mobile commerce for the first time
FIGURE 6-3 Smart phones come in a range of different styles
Mobile commerce browser display options
Wireless Application Protocol (WAP)
Allows Web pages formatted in HTML to be displayed on
devices with small screens
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
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
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
Apple turned old revenue strategy on its head
Apple Apps for iPhone online store
Independent developers create apps and sell them
BlackBerry and Palm followed Apple’s lead
Companies wanting mobile user commerce
Review Web sites for compatibility
May create separate Web sites for mobile users
Mobile phones for online banking
In early stages in the United States
Physicians using smart phones
Phones’ global positioning satellite (GPS) service
capabilities
Allow mobile business opportunities
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
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
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)
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
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
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
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)
Look Smart stock repurchase
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
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
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
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
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
FIGURE 6-4 Key characteristics of seven major auction types
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
General consumer auctions
eBay: registration required, seller fees, rating system
Seller’s risk: stolen credit cards; 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
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
eBay’s success due to unspecified audience
Also spends $1 billion each 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
Overstock.com (still active)
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%)
Specialty consumer auctions
Identify special-interest market targets
Create specialized Web auction sites
No need to compete with eBay
Examples:
JustBeads.com, Cigarbid.com, Wine bid
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
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
Group shopping sites
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
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
Group purchasing sites closed
Business-to-business auctions
Evolved to meet specific existing need
Excess inventory disposal (manufacturing)
Two methods
Liquidation specialists: find buyers for unusable items
Liquidation broker: firm that finds buyers for items
Online auctions
Logical extension of these inventory liquidation activities to
a new and more efficient channel (Internet)
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.)
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
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
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.)
FIGURE 6-5 Supply chain characteristics and reverse auctions
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
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
Auction escrow services (cont’d.)
Examples: Escrow.com, eDeposit, Square Trade
May sell auction buyer’s insurance
Protect buyers from no delivery 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
Auction directory and information services
Example: Auctionguide.com
Guidance for new auction participants
Helpful hints and tips for experienced participants
Directories of online auction sites
Example: Auction Bytes
Publishes e-mail newsletter
Online auction industry articles
Auction directory and information services (cont’d.)
Example: Price Watch
Advertiser-supported site
Advertisers post current selling prices
Computer hardware, software, electronics
Example: Price SCAN
Similar price-monitoring service
Also includes books, movies, music, sporting goods
Auction software
Target: sellers
Helps manage online auctions
Example: Auction Hawk and Vendio
Seller management software and services
Automate tasks
Create attractive page layouts
Manage hundreds of auctions
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
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
Sniping software and services business information
AuctionBytes Web site
FIGURE 6-6 Auction Bytes home page
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, USA Auction Drop
Auction consignment services (cont’d.)
Key to success
Convenient locations for customer drop off
Open own stores, franchise stores
Electronic commerce first wave
Online auction business made possible by the Web
Electronic commerce second wave
Online auction business created opportunities:
For even more entirely new types of business
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
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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Ch06 e commerce

  • 1.
  • 2. In this chapter, you will learn about: Social networking and online business activities Using mobile devices to do business online Online auctions and auction-related businesses
  • 3.  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
  • 4. 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
  • 5. 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
  • 6. 1985: WELL (“whole earth ‘Electronic 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
  • 7. 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
  • 8. 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
  • 9. 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)
  • 10. Basic idea behind social networking People invited to join by existing members Site provides directory New members work through friends established in the community
  • 11. FIGURE 6-1 Social networking Web sites
  • 12. Web logs (Blogs) Web sites containing individual commentary on current events or specific issues Form of social networking site Encourages interaction among people Visitors add comments 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
  • 13. Retailers embracing blogs to engage site visitors Bluefly.com online discount apparel retailer Flypaper blog Ice.com online jeweler Blogs may encourage potential customers to visit online store Business uses CNN Blog information included in television newscasts
  • 14. 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)
  • 15. 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
  • 16. Social networking Web sites for shoppers (cont’d.) 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
  • 17. 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
  • 18. Web portals Combine portal and social networking features Typical portal offerings Search engines, directories, free e-mail, news stories, weather reports Social networking elements Games and chat rooms Allow site visitors to interact with each other Examples: Yahoo!, AOL, MSN
  • 19. By 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 Goal: be every Web surfer’s doorway to the Web
  • 20. Advertising-supported social networking sites Smaller sites with specialized appeal Can draw enough visitors to generate significant advertising revenue Example: I Can Has Cheeseburger 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
  • 21. FIGURE 6-2 Popularity and stickiness of leading Web sites
  • 22. 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
  • 23. 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
  • 24. 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
  • 25. Micro lending sites Function as clearinghouses for micro lending activity Micro lending Practice of lending very small amounts of money Lend to people starting or operating small businesses (especially in developing countries) Micro lending key element Working within social network of borrowers Provide support, element of pressure to repay Examples: Kiva and Micro Place
  • 26. Internal virtual communities 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
  • 27. 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
  • 28. Japan and Southeast Asia mobile commerce Much larger online business activity Had high-capacity networks early on Mobile wallets Mobile phones functioning as credit cards Japan’s NTT Do Como phones combined capabilities Generate significant business
  • 29. United States mobile commerce capabilities began in 2008 Smart phone and high-capacity network introductions Mobile commerce smart phone examples Apple iPhone, Palm Pre, several BlackBerry models Use the Android operating system Provide serious U.S. mobile commerce for the first time
  • 30. FIGURE 6-3 Smart phones come in a range of different styles
  • 31. Mobile commerce browser display options Wireless Application Protocol (WAP) Allows Web pages formatted in HTML to be displayed on devices with small screens 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
  • 32. 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
  • 33. 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 Apple turned old revenue strategy on its head Apple Apps for iPhone online store Independent developers create apps and sell them BlackBerry and Palm followed Apple’s lead
  • 34. Companies wanting mobile user commerce Review Web sites for compatibility May create separate Web sites for mobile users Mobile phones for online banking In early stages in the United States Physicians using smart phones Phones’ global positioning satellite (GPS) service capabilities Allow mobile business opportunities
  • 35. 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
  • 36. 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
  • 37. 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)
  • 38. 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
  • 39. 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
  • 40. 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
  • 41. 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) Look Smart stock repurchase
  • 42. 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
  • 43. 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
  • 44. 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
  • 45. 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
  • 46. 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
  • 47. FIGURE 6-4 Key characteristics of seven major auction types
  • 48. 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
  • 49. General consumer auctions eBay: registration required, seller fees, rating system Seller’s risk: stolen credit cards; 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
  • 50. 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
  • 51. eBay’s success due to unspecified audience Also spends $1 billion each 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 Overstock.com (still active)
  • 52. 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%)
  • 53. Specialty consumer auctions Identify special-interest market targets Create specialized Web auction sites No need to compete with eBay Examples: JustBeads.com, Cigarbid.com, Wine bid
  • 54. 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
  • 55. 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
  • 56. Group shopping sites 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
  • 57. 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 Group purchasing sites closed
  • 58. Business-to-business auctions Evolved to meet specific existing need Excess inventory disposal (manufacturing) Two methods Liquidation specialists: find buyers for unusable items Liquidation broker: firm that finds buyers for items Online auctions Logical extension of these inventory liquidation activities to a new and more efficient channel (Internet)
  • 59. 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.)
  • 60. 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
  • 61. 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
  • 62. 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.)
  • 63. FIGURE 6-5 Supply chain characteristics and reverse auctions
  • 64. 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
  • 65. 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
  • 66. Auction escrow services (cont’d.) Examples: Escrow.com, eDeposit, Square Trade May sell auction buyer’s insurance Protect buyers from no delivery 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
  • 67. Auction directory and information services Example: Auctionguide.com Guidance for new auction participants Helpful hints and tips for experienced participants Directories of online auction sites Example: Auction Bytes Publishes e-mail newsletter Online auction industry articles
  • 68. Auction directory and information services (cont’d.) Example: Price Watch Advertiser-supported site Advertisers post current selling prices Computer hardware, software, electronics Example: Price SCAN Similar price-monitoring service Also includes books, movies, music, sporting goods
  • 69. Auction software Target: sellers Helps manage online auctions Example: Auction Hawk and Vendio Seller management software and services Automate tasks Create attractive page layouts Manage hundreds of auctions
  • 70. 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
  • 71. 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 Sniping software and services business information AuctionBytes Web site
  • 72. FIGURE 6-6 Auction Bytes home page
  • 73. 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, USA Auction Drop
  • 74. Auction consignment services (cont’d.) Key to success Convenient locations for customer drop off Open own stores, franchise stores Electronic commerce first wave Online auction business made possible by the Web Electronic commerce second wave Online auction business created opportunities: For even more entirely new types of business
  • 75. 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
  • 76. 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