Dynamic pricing and learning:Historical origins, current research, and new directions

Динамическое ценообразование и обучение: исторические истоки, современные исследования и новые направления
Arnoud V. den Boer
2015-06-01

demand estimationdynamic pricingmanagement scienceoperations researchpricing and learning
The topic of dynamic pricing and learning has received a considerable amount of attention in recent years, from different scientific communities. We survey these literature streams: we provide a brief introduction to the historical origins of quantitative research on pricing and demand estimation, point to different subfields in the area of dynamic pricing, and provide an in-depth overview of the available literature on dynamic pricing and learning. Our focus is on the operations research and management science literature, but we also discuss relevant contributions from marketing, economics, econometrics, and computer science. We discuss relations with methodologically related research areas, and identify directions for future research.
1
It connects dynamic pricing and learning to methodologically related research areas and identifies directions for future investigation.
2
It traces the historical origins of quantitative research on pricing and demand estimation and situates current work within those foundations.
3
The paper surveys dynamic pricing and learning research across operations research, management science, marketing, economics, econometrics, and computer science.
4
The survey categorizes major subfields of dynamic pricing and provides an in-depth overview of available research on pricing with learning.

dynamic pricing and learning in pricing and demand estimation contexts

historical origins, research literature, methodological relationships, and future directions of dynamic pricing and learning

Publication Details
Publication Date
2015-06-01
Journal
Publisher
ISSN
Access Type
Author Information
Authors
Arnoud V. den Boer
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat
Make a presentation
100%