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An incentive mechanism design in E-Trade evaluation systems

  • Koki Murakata
  • , Tokuro Matsuo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In recent years, commerce over the internet has been widely developing with enhancement convenience of trading on the web. However, troubles on trading also increase. This paper proposes a new evaluation mechanism to decrease the information incompleteness and asymmetry by using multi-attribute evaluation. Buyers can precisely evaluate due to the multi-criteria chosen by sellers. Based on the number of selected criteria, the system determines the incentive rate of synthetic rating for sellers. Thus, sellers have an incentive to disclose a lot of evaluation attributes for buyers. Our experiment shows the operation given by the incentive rating based on number of criteria. Advantages of our proposed model include incomplete and asymmetric information decreases on the e-commerce site.

Original languageEnglish
Title of host publicationComputer and Information Science 2010
EditorsRoger Lee, Tokuro Matsuo, Naohiro Ishii
Pages179-191
Number of pages13
DOIs
Publication statusPublished - 2010
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume317
ISSN (Print)1860-949X

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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