Date of Award
2025
Document Type
Article
Department
Business
Keywords
Adaptive Pricing, Information Uncertainty, Bayesian Learning, Dynamic Pricing, Market Efficiency
Subject Categories
Business Analytics
Abstract
This paper investigates adaptive pricing strategies under conditions of information uncertainty. Using a Bayesian learning framework, we model dynamic pricing decisions and assess performance under varying market conditions. The results demonstrate that adaptive pricing outperforms static pricing in terms of expected revenue and market efficiency.
DOI
10.70657/jdej-2mnv
Recommended Citation
MUBARI, CHARLES CHOMBA, "Adaptive Pricing under Information Uncertainty" (2025). Beacom School of Business Student Publications. 1.
https://red.library.usd.edu/business-sp/1