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Harri Ehtamo

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Title: Methods to solve incentive design problems Author: Kimmo Berg Last modified by: kimmo Created Date: 9/17/2002 12:31:45 PM Document presentation format – PowerPoint PPT presentation

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Title: Harri Ehtamo


1
Optimization and Game Theory Models of E-Markets
- A Survey
  • Harri Ehtamo

Systems Analysis Laboratory Helsinki University
of Technology www.sal.tkk.fi
2
What is E-commerce?
  • New commercial affairs arising
  • in the Internet
  • through the use of various
  • Electronic Shelf Labeling Systems

3
New technology allows the retailers
  • to collect, process and deliver sales / customer
    data
  • to plan intelligent pricing strategies
  • to change prices frequently at low cost

4
  • Data mining
  • ? personalization
  • ? customization
  • Amazon.com online price tests with customers

5
Pricing strategies
  • Posted price mechanisms
  • take-it-or-leave-it prices
  • Price-discovery mechanisms
  • prices determined by bidding processes, e.g.,
    auctions

6
Mechanism design Optimization and game theory
tools for pricing goods
  • Price discrimination e.g., nonlinear pricing
  • Combinatorial auctions

7
NP complete CAP N bidders, M objects
8
Applications
  • Nonlinear pricing in the design of electricity
    tariffs (Wilson, Räsänen et. al, in the 1990s)
  • Dynamic pricing policies in brick-and-mortar
    stores (in the 2000s)
  • Combinatorial Auctions (FCCs Narrow Band Auction
    1994, CAs in procurement of logistic services
    1993)

9
Research questions
  • How to exploit the vast resources of online data
    to improve the shopping process
  • Theoretical work to model descriptively,
    predictively and normatively some aspects of the
    process to enable competitional advances

10
Literature
  • A.M. Geoffrion, R. Krihnan Special issue on
    E-Business and Management Science, Management
    Science, Vol. 49, No. 10/11, November 2003
  • R.B. Wilson Nonlinear Pricing, Oxford
    University Press, 1993
  • M. Räsänen, J. Ruusunen, R.P. Hämäläinen
    Optimal tariff design under consumer
    self-selection, Energy Economics 19, pp.
    151-167, 1997
  • S. de Vries, R.V. Vohra Combinatorial Auctions
    A Survey, INFORMS J. on Computing, Vol. 15, No.
    3, pp. 284-309, 2003
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