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ECommerce

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National Science Foundation developed system further to permit public access to ... In 1999 e-commerce in USA equalled entire GDP of Switzerland ... – PowerPoint PPT presentation

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Title: ECommerce


1
E-Commerce
2
  • Pentagons Arpanet was first attempt to use
    computer networks to share knowledge
    electronically
  • National Science Foundation developed system
    further to permit public access to build first
    internet
  • Now local area networks (LANS) connected to wider
    area networks (WANS) using TCP/IP protocol
  • Originally text based now evolved into visual,
    audio and text knowledge format transfers

3
  • Internet is only one component of way
    organisations use electronic media to share
    knowledge
  • Volume and quality of knowledge exchange has been
    dramatically improved
  • Anderson project concluded 5 Truths of
  • New market structures
  • Knowledge gains value
  • Zero cost of operation
  • Reduction in prices
  • Instant delivery

4
Economics
  • E-Commerce provides knowledge and as knowledge
    approaches perfect competition (everybody is
    informed) should move prices downwards
  • Evidence from some sectors (e.g. Tickets books)
  • In B2B markets administration costs are reduced
    due to electronic data transfer
  • Marketing costs are lowered by advent of
    automated web sites providing customer with
    knowledge at touch of a button

5
  • Scale of e-commerce is massive
  • In 1999 e-commerce in USA equalled entire GDP of
    Switzerland
  • Industrial e-commerce markets are much bigger
    than on-line consumer markets
  • Rapid growth of e-commerce attracted
    entrepreneurs and venture capitalists

6
  • Many dot.com start-ups had high expenses but
    lacked knowledge of how to build viable sales
    base
  • Late 90s saw the dot.com unsustainable bubble
    burst
  • Real success stories are existing terrestrial
    firms that moved on-line
  • Able to exploit existing knowledge of markets and
    exploit customers knowledge of their existence

7
Benefits
  • Range of benefits to customers from on-line
    trading
  • Convenience of 24/7 operations
  • More knowledge provision
  • Fewer hassles (no shopping trip)
  • Multi-media knowledge delivery
  • New products/services
  • For firmsbenefits include
  • Lower operating costs
  • Improved distribution
  • Reduced personal selling costs
  • Ability to build closer customer relations
  • Customised promotions
  • Faster market response
  • New opportunities

8
Low High
Integrated e-commerce knowledge orientation
Knowledge content focus orientation
High Low
Role of E-commerce in Knowledge Provision
Low knowledge involvement orientation
Transaction knowledge focus orientation
Role of E-commerce in using knowledge to support
the Purchase Transaction
FIGURE 31 AN E-COMMERCE ALTERNATIVE
ORIENTATION MATRIX
9
  • Terrestrial good practice still applies in
    cyberspace
  • Technology is only a facilitator
  • Marketers must lead process
  • Technology must offer additional benefits to
    customers
  • Originally technology was designed to permit
    e-mails and discussion groups
  • Original web sites published static knowledge
  • Gateway interface technology permitted on-line
    data interaction between supplier and user

10
  • Applications programme interface (API) allowed
    supplier and user to store data usage and speed
    up knowledge-access activities
  • Certain firms more successful (e.g. Cisco)
    because
  • Customer driven
  • Established commitment to TQM and JIT
  • High level of expertise in IT
  • High expertise in supply chain management
  • Success requires move to systems automation to
    optimise knowledge exchange

11
Customer Web Browser
Rational Database Server
Web-to-Database Middleware
API Interface
Web Server
Firms Database
Internet
Integration of Data from all internal operations
FIGURE 32 AN AUTOMATED E-BUSINESS DATABASE
SYSTEM
12
  • Needs to exploit automated data utilisation
  • All data integrated on single location
  • Data must be organised by topic
  • Data must remain accurate over time
  • Move to use relationship databases to enhance
    ability to analyse data and generate new
    knowledge
  • Real Time Data Mining permits almost instant
    access to knowledge, identifying market change
    and new opportunities
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