Optimizing discrete dutch auctions with time considerations: a strategic approach for lognormal valuation distributions

This research deviates from usual studies in auction literature primarily focused on maximizing expected revenue. Instead, we concentrate on the strategic design of discrete Dutch auctions in the context of bidder emotional attachment, wherein valuations follow a lognormal distribution. Our objecti...

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Main Authors: Raja Aqib Shamim, Majid Khan Majahar Ali
Format: Article
Language:English
Published: Nigerian Society of Physical Sciences 2025-02-01
Series:Journal of Nigerian Society of Physical Sciences
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Online Access:https://journal.nsps.org.ng/index.php/jnsps/article/view/2291
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author Raja Aqib Shamim
Majid Khan Majahar Ali
author_facet Raja Aqib Shamim
Majid Khan Majahar Ali
author_sort Raja Aqib Shamim
collection DOAJ
description This research deviates from usual studies in auction literature primarily focused on maximizing expected revenue. Instead, we concentrate on the strategic design of discrete Dutch auctions in the context of bidder emotional attachment, wherein valuations follow a lognormal distribution. Our objective is to attain an optimal balance between the auctioned object’s selling price and the auction duration, ultimately maximizing the auctioneer’s expected revenue per unit of time. Our proposed models exhibit significantly higher average revenues per unit of time than counterparts neglecting time considerations and emotional attachment of the bidders. This achievement results from strategically reducing auction durations, enabling more auctions within the allotted time. This intentional trade-off ensures the marginal revenue decrease in shorter auctions is surpassed by the substantial increase in overall revenues from heightened auction frequency. Numerical results emphasize the utility of our modified discrete Dutch auction design, particularly in scenarios with a large number of bidders. Furthermore, increasing skewness in valuation distributions correlates with higher revenue per unit of time. Complete knowledge of the number of participating bidders is crucial, leading to a noticeable elevation in the auctioneer’s expected revenue per unit of time. However, the predictability of auction outcomes may be challenging, underscoring the nuanced nature of auction dynamics.
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institution Kabale University
issn 2714-2817
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language English
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publisher Nigerian Society of Physical Sciences
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spelling doaj-art-356c3196154c41ccb9286ad99eb59f182025-01-17T18:52:27ZengNigerian Society of Physical SciencesJournal of Nigerian Society of Physical Sciences2714-28172714-47042025-02-017110.46481/jnsps.2025.2291Optimizing discrete dutch auctions with time considerations: a strategic approach for lognormal valuation distributionsRaja Aqib Shamim0https://orcid.org/0000-0002-2531-1249Majid Khan Majahar Ali1https://orcid.org/0000-0002-5558-5929School of Mathematical Sciences, Universiti Sains Malaysia, 11800, Pulau Penang, Malaysia | Department of Mathematics, University of Kotli, 11100, Azad Jammu and Kashmir, PakistanSchool of Mathematical Sciences, Universiti Sains Malaysia, 11800, Pulau Penang, Malaysia This research deviates from usual studies in auction literature primarily focused on maximizing expected revenue. Instead, we concentrate on the strategic design of discrete Dutch auctions in the context of bidder emotional attachment, wherein valuations follow a lognormal distribution. Our objective is to attain an optimal balance between the auctioned object’s selling price and the auction duration, ultimately maximizing the auctioneer’s expected revenue per unit of time. Our proposed models exhibit significantly higher average revenues per unit of time than counterparts neglecting time considerations and emotional attachment of the bidders. This achievement results from strategically reducing auction durations, enabling more auctions within the allotted time. This intentional trade-off ensures the marginal revenue decrease in shorter auctions is surpassed by the substantial increase in overall revenues from heightened auction frequency. Numerical results emphasize the utility of our modified discrete Dutch auction design, particularly in scenarios with a large number of bidders. Furthermore, increasing skewness in valuation distributions correlates with higher revenue per unit of time. Complete knowledge of the number of participating bidders is crucial, leading to a noticeable elevation in the auctioneer’s expected revenue per unit of time. However, the predictability of auction outcomes may be challenging, underscoring the nuanced nature of auction dynamics. https://journal.nsps.org.ng/index.php/jnsps/article/view/2291AuctionsLognormal distributionNonlinear programmingDiscrete Dutch auctionRevenue optimization
spellingShingle Raja Aqib Shamim
Majid Khan Majahar Ali
Optimizing discrete dutch auctions with time considerations: a strategic approach for lognormal valuation distributions
Journal of Nigerian Society of Physical Sciences
Auctions
Lognormal distribution
Nonlinear programming
Discrete Dutch auction
Revenue optimization
title Optimizing discrete dutch auctions with time considerations: a strategic approach for lognormal valuation distributions
title_full Optimizing discrete dutch auctions with time considerations: a strategic approach for lognormal valuation distributions
title_fullStr Optimizing discrete dutch auctions with time considerations: a strategic approach for lognormal valuation distributions
title_full_unstemmed Optimizing discrete dutch auctions with time considerations: a strategic approach for lognormal valuation distributions
title_short Optimizing discrete dutch auctions with time considerations: a strategic approach for lognormal valuation distributions
title_sort optimizing discrete dutch auctions with time considerations a strategic approach for lognormal valuation distributions
topic Auctions
Lognormal distribution
Nonlinear programming
Discrete Dutch auction
Revenue optimization
url https://journal.nsps.org.ng/index.php/jnsps/article/view/2291
work_keys_str_mv AT rajaaqibshamim optimizingdiscretedutchauctionswithtimeconsiderationsastrategicapproachforlognormalvaluationdistributions
AT majidkhanmajaharali optimizingdiscretedutchauctionswithtimeconsiderationsastrategicapproachforlognormalvaluationdistributions