Dynamic pricing: Definition, implications for managers, and future research directions
Praveen K. Kopalle,
Koen Pauwels,
Laxminarayana Yashaswy Akella and
Manish Gangwar
Journal of Retailing, 2023, vol. 99, issue 4, 580-593
Abstract:
Dynamic pricing has evolved with technology from earlier price negotiations. To maximize revenue and provide specialized shopping experiences, businesses today use algorithms and data analysis to adapt prices. We define dynamic pricing as price changes that are prompted by changes or differences in four key underlying market demand drivers: (1) People (i.e., individual consumers or consumer segments), (2) Product configurations, (3) Periods (i.e., time), and (4) Places (i.e., locations). The transition from static pricing (uniform prices) to dynamic pricing (changing prices) is evident from different examples, such as online retailers personalizing offers based on customer behavior, and algorithms using facial recognition for personalized pricing in physical stores.
Keywords: Dynamic pricing; Retailing; Futuristic view; AI and pricing (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0022435923000544
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jouret:v:99:y:2023:i:4:p:580-593
DOI: 10.1016/j.jretai.2023.11.003
Access Statistics for this article
Journal of Retailing is currently edited by A. Roggeveen
More articles in Journal of Retailing from Elsevier
Bibliographic data for series maintained by Catherine Liu ().