Authors:
A. Pereira
1
;
L. Rocha
1
;
F. Mourão
1
;
T. Torres
1
;
W. Meira Jr.
1
and
P. Goes
2
Affiliations:
1
Federal University of Minas Gerais, Brazil
;
2
School of Business, University of Connecticut, United States
Keyword(s):
Online auctions, e-business, characterization methodology, reactivity.
Related
Ontology
Subjects/Areas/Topics:
B2B, B2C and C2C
;
Communication and Software Technologies and Architectures
;
e-Business
;
e-Business and e-Commerce
;
Enterprise Information Systems
;
Society, e-Business and e-Government
;
Software Agents and Internet Computing
;
Web Information Systems and Technologies
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 usersystem
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 i
n 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.
(More)