Imperial College London

ProfessorWilliamKnottenbelt

Faculty of EngineeringDepartment of Computing

Professor of Applied Quantitative Analysis
 
 
 
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Contact

 

+44 (0)20 7594 8331w.knottenbelt Website

 
 
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Location

 

E363ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Leung:2011:10.4018/ijom.2011070102,
author = {Leung, TLY and Knottenbelt, WJ},
doi = {10.4018/ijom.2011070102},
journal = {International Journal of Online Marketing},
pages = {17--28},
title = {Consumer-to-Consumer Internet Auction Models},
url = {http://dx.doi.org/10.4018/ijom.2011070102},
volume = {1},
year = {2011}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - <jats:p>Internet auctions have become an increasingly common method for exchanging goods and services across the world both among consumers themselves, as well as between businesses and consumers. These Internet auction mechanisms have the scope of incorporating procedures of much greater complexity and variety, and they exhibit characteristics and properties that are quite distinct from conventional auctions. In this paper, the authors provide an experimental study of the performance characteristics and operational behaviour of a number of online auction models, including the fixed time forward auctions, the Vickrey auctions, and models with soft close variable auction times. These online auction models are studied through systematic simulation experiments, based on a series of operational assumptions, which characterize the arrival rate of bids, as well as the distribution from which the private values of buyers are sampled. Suggestions for efficient online auction design and procedures for improving auction performance are given, and the behaviour of the average auction income and average auction duration are quantified and compared.</jats:p>
AU - Leung,TLY
AU - Knottenbelt,WJ
DO - 10.4018/ijom.2011070102
EP - 28
PY - 2011///
SN - 2156-1753
SP - 17
TI - Consumer-to-Consumer Internet Auction Models
T2 - International Journal of Online Marketing
UR - http://dx.doi.org/10.4018/ijom.2011070102
VL - 1
ER -