Year: 2012
Type: article
Abstract: In this study, the dynamic pricing optimization problem faced by the maritime transportation service provider company is considered. The aim is to find optimal prices for each journey for each level of unsold seats by using probabilistic dynamic programming. Conjoint analysis is used to identify the consumer behavior in case of price changes to the current product, namely journey. The optimal policies show the necessity of applying dynamic pricing policy instead of fixed pricing and the diversification of optimal policies under different conditions.
Authors: Seda Coşgun, Özlem Coşgun, Yeliz Ekinci
Institutions: Istanbul Technical University, Fatih University, Doğuş University
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,490
OpenAlex ID: W1978007259
