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A Survey on Reputation Systems for Artificial Societies

URN to cite this document: urn:nbn:de:bvb:703-opus-6169

Title data

Balke, Tina ; König, Stefan ; Eymann, Torsten:
A Survey on Reputation Systems for Artificial Societies.
Bayreuth , 2009 . - (Bayreuther Arbeitspapiere zur Wirtschaftsinformatik ; 46 )

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Abstract

The Internet has caused a revolution in trading. Especially cheap items are now easy to buy and sell on the Internet. As a consequence, sellers nowadays offer a wide range of products on the web, creating an abundance of choice for consumers. Consumers have the opportunity to browse on different auction sites for the item they really want. Along with this success story, however, came the stories of people being cheated by fraudulent online sellers. These frauds cover a range from not delivering what has been promised, the overrating of a product´s condition, to deliberate acts of theft. They are a result of so-called asymmetric information. Trust and reputation mechanisms are intended to address this asymmetric information distribution. This article surveys the most common trust and reputation systems.

Further data

Item Type: Working paper, discussion paper
Keywords: Vertrauen; Electronic Commerce; Computersicherheit
DDC Subjects: 300 Social sciences > 330 Economics
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-opus-6169
Date Deposited: 25 Apr 2014 10:09
Last Modified: 04 Apr 2019 05:42
URI: https://epub.uni-bayreuth.de/id/eprint/496

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