1 / 66

Agent-mediated Electronic Commerce

Agent-mediated Electronic Commerce. introduction. Luk Stoops programming laboratory VUB. Consumer Buying Behavior Model. Need Identification Product Brokering Merchant brokering Negotiation Purchase and Delivery Product Service and Evaluation. Agent Systems. Need Identification.

shaw
Download Presentation

Agent-mediated Electronic Commerce

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Agent-mediatedElectronic Commerce introduction Luk Stoops programming laboratory VUB

  2. Consumer Buying Behavior Model • Need Identification • Product Brokering • Merchant brokering • Negotiation • Purchase and Delivery • Product Service and Evaluation

  3. Agent Systems

  4. Need Identification • Becoming aware of unmet need • Stimulating trough product information • Problem Recognition • (Engel-Blackwell model) • Agents • alternate publicity • personalized publicity • ad busters

  5. Product Brokering • What to buy • Critical evaluation of retrieved product information • Agents • allow shoppers to specify constraints on a product’s features • feature filtering • recommend products via “word of mouth” • collaborative filtering

  6. Merchant brokering • Where to buy • BargainFinder • request price from 9 merchant Web sites • 1/3 blocked all of his requests • Jango • request originated from consumer’s browser • Kasbah • distributed trust and reputation mechanism

  7. Negotiation • Auctions on the web • eBay • On Sale • Yahoo • >90 active online auctions • Business-to-business transactions • Fastparts (semiconductor) • FairMarket (computer)

  8. Auctions • Hostile characteristics • first-price open-cry • winning bid > market valuation • Short term benefit • long-term detriment

  9. Auctions Disadvantages • Bids are non-retractable • Products are non-returnable • Long delay between • negotiation • Purchase and delivery • Only the highest bidder(s) can purchase • Shills ! • Buyer coalitions !

  10. AuctionBot • General purpose Internet Auction server • University of Michigan • Start a new auction • Bid in an existing auction. • Facilities for • examining ongoing auctions • inspecting your own account activity • Free of charge.

  11. Product description Minimum price Maximum price Best price so far Time constraints Report activities Product condition Locality Minimum reputation Horrible Difficult Average Good Great Strategy Kasbah Buying Agents

  12. Buying Agents Strategies

  13. Product description Initial price Lowest price Time constraints Report activities Product condition Locality Minimum reputation Horrible Difficult Average Good Great Strategy Kasbah Selling Agents

  14. Kasbah Find Agents • Monitor market for specific products • timespan • price domain • Buying agents monitor • Selling agents monitor

  15. Generic - Comparative

  16. Purchase and Delivery • Security agents • Agents monitoring • Production • Delivery

  17. Tete-@-Tete (MIT Media Lab) • Negotiates across multiple terms • warranty length and options • shipping time and cost • service contract • return policy • quantity • accessories • payment options • loan options

  18. Reputation systems

  19. Beginners Reputation • It is relatively easy to adopt a new or change one's identity. • If a user ends up having a reputation value lower than the reputation of a beginner, he would have an incentive to discard his initial identity and start from the beginning. • Desirable that while a user's reputation value may decrease after a transaction, it will never fall below a beginner's value.

  20. Reputation Improving Rate • Even if a user starts receiving very low reputation ratings, he can improve his status later at almost the same rate as a beginner. • If reputation = the arithmetic average of the ratings received since the user joined the system: users who perform relatively poorly in the beginning adopt a new identity to get rid of their bad reputation history.

More Related