Asymptotically Tight Bounds on the Optimal Pricing Strategy with Patient Customers

In “Asymptotically Tight Bounds on the Optimal Pricing Strategy with Patient Customers,” Qian, Su, and Zhou revisit the problem of a monopolist seller’s optimal pricing strategy when dealing with both patient and impatient customers. The authors give asymptotically tight bounds on the optimal strategy’s cycle period and long-run average revenue when the patient customers’ patience level is high. This result also addresses an open question proposed by others regarding the optimal cycle period.

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Publication Details

Journal
Operations Research
Published
2024-08-20
DOI
https://doi.org/10.1287/opre.2021.0459
Primary Topic
Supply Chain and Inventory Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Asymptotically Tight Bounds on the Optimal Pricing Strategy with Patient Customers

Chao Zhou, Shuaijie Qian, Xizhi Su
Operations Research
Supply Chain and Inventory Management
article

Asymptotically Tight Bounds on the Optimal Pricing Strategy with Patient Customers

Chao Zhou, Shuaijie Qian, Xizhi Su
article en

Abstract

In “Asymptotically Tight Bounds on the Optimal Pricing Strategy with Patient Customers,” Qian, Su, and Zhou revisit the problem of a monopolist seller’s optimal pricing strategy when dealing with both patient and impatient customers. The authors give asymptotically tight bounds on the optimal strategy’s cycle period and long-run average revenue when the patient customers’ patience level is high. This result also addresses an open question proposed by others regarding the optimal cycle period.

Operations ResearchVol. 73(2)
National University of Singapore (SG), Hong Kong University of Science and Technology (HK), University of Hong Kong (HK)
Openalex Percentile: Top 79%
Supply Chain and Inventory Management
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