Algorithmic pricing: Implications for marketing strategy and regulation

Over the past decade, a growing number of firms have delegated pricing decisions to algorithms in consumer and business markets such as travel, entertainment, and retail, as well as in platform markets such as ride-sharing. We define algorithmic pricing as “the use of programs to automate the setting of prices.” Firms adopt algorithmic pricing to optimize their prices in response to changing market conditions and to leverage the efficiency gains from automation. Advances in information technology and the increased availability of digital data have further facilitated the use of algorithm-driven pricing strategies. Yet adopting algorithmic pricing is not merely a technical upgrade — it is a strategic decision that must align with a company’s existing and future marketing strategies. Moreover, algorithmic pricing can raise various regulatory concerns regarding potential threats to competition and the legality of price discrimination. This paper discusses the implementation of algorithmic pricing in the context of firms’ marketing strategies and regulatory frameworks, while outlining an agenda for future research in this increasingly important area

Authors

Institutions

Publication Details

Journal
International Journal of Research in Marketing
Published
2025-05-01
DOI
https://doi.org/10.1016/j.ijresmar.2025.05.001
Citations
8
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
22.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Algorithmic pricing: Implications for marketing strategy and regulation

Martin Spann, F. Fantini, Marco Bertini, Robert Zeithammer et al.
8 citations
International Journal of Research in Marketing
Blockchain Technology Applications and Security
22.72
article

Algorithmic pricing: Implications for marketing strategy and regulation

Martin Spann, F. Fantini, Marco Bertini, Robert Zeithammer, Ginger Zhe Jin, Peter T. L. Popkowski Leszczyc, Maria Ana Vitorino, Oded Koenigsberg, Diego Aparicio, Vicki G. Morwitz, Yuxin Chen, Hyesung Yoo, Gizem Yalcin Williams
article en
8 citations

Abstract

Over the past decade, a growing number of firms have delegated pricing decisions to algorithms in consumer and business markets such as travel, entertainment, and retail, as well as in platform markets such as ride-sharing. We define algorithmic pricing as “the use of programs to automate the setting of prices.” Firms adopt algorithmic pricing to optimize their prices in response to changing market conditions and to leverage the efficiency gains from automation. Advances in information technology and the increased availability of digital data have further facilitated the use of algorithm-driven pricing strategies. Yet adopting algorithmic pricing is not merely a technical upgrade — it is a strategic decision that must align with a company’s existing and future marketing strategies. Moreover, algorithmic pricing can raise various regulatory concerns regarding potential threats to competition and the legality of price discrimination. This paper discusses the implementation of algorithmic pricing in the context of firms’ marketing strategies and regulatory frameworks, while outlining an agenda for future research in this increasingly important area

International Journal of Research in Marketing
The University of Queensland (AU), University of Toronto (CA), New York University Shanghai (CN), UCLA Health (US), Historic England (GB), LMU Klinikum (DE), Jacobs (Spain) (ES), IESE Business School (ES), Universitat Ramon Llull (ES), University of Maryland, College Park (US), Columbia University (US), Ludwig-Maximilians-Universität München (DE), The University of Texas at Austin (US)
Openalex Percentile: Top 1%
Blockchain Technology Applications and Security
22.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.