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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Download (797kB)
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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 |
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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 - Information Systems Management and Digital Society |
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 |