Abstract
Online auctions have several aspects that violate the common assumptions made by the traditional economic auction theory. An online auction can be seen as an interactive economic information system, where user- system interactions are usually very complex. It is important to note that the interactions are not isolated, but successive interactions become a loop-feedback mechanism, that we call reactivity, where the user behavior affects the auction negotiation and vice-versa. In this paper we describe a new hierarchical characterization model for online auctions and apply this model to a real case study, showing its advantages in discovering some online auction negotiation patterns. The results demonstrate that our characterization model provides an efficient way to open the auction dynamics's "black box". We also propose an abstraction named Auction Model Graph (AMG) which enables the temporal analysis of the negotiation. This work is part of a research to analyze reactivity in e-business, that may contribute to understand the business dynamics and has wide applicability to activities such as designing recommendation agents, service personalization, and site interaction enhancement.
Original language | English (US) |
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Pages | 84-91 |
Number of pages | 8 |
State | Published - 2007 |
Event | 3rd International Conference on Web Information Systems and Technologies, Webist 2007 - Barcelona, Spain Duration: Mar 3 2007 → Mar 6 2007 |
Other
Other | 3rd International Conference on Web Information Systems and Technologies, Webist 2007 |
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Country/Territory | Spain |
City | Barcelona |
Period | 3/3/07 → 3/6/07 |
Keywords
- Characterization methodology
- E-business
- Online auctions
- Reactivity
ASJC Scopus subject areas
- Computer Networks and Communications
- Hardware and Architecture
- Information Systems
- Electrical and Electronic Engineering