Peer-induced fairness and personalized pricing in a channel
Jianqiang Zhang,
Xiuli He and
Yueyun Zhang
Journal of the Operational Research Society, 2022, vol. 73, issue 8, 1812-1827
Abstract:
Consumers incur utility loss when they find that their peers pay different prices for the same product, which seemingly poses a threat to firms practising personalized pricing. This paper studies the interaction between peer-induced fairness and personalized pricing in a distribution channel consisting of one manufacturer and one retailer. While consumers are fair-minded, the retailer can apply personalized prices. Using a game-theoretic approach, we find that consumer fairness concern compels the retailer to reduce prices. However, the retailer will reduce the price toward high-valued consumers by a larger amount than the price toward low-valued consumers. This drives the manufacturer to offer a much lower wholesale price. As a result, the retailer using personalized pricing is better off in the presence of consumer fairness concern. This finding still holds when the capability of personalized pricing is endogenous, when social comparison may increase a consumer’s utility, and when the degree of fairness concern depends on the size of population. These effects are unique to peer-induced fairness, while related emotions such as distributional fairness concern cannot improve the retailer’s profit.
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/01605682.2021.1940327 (text/html)
Access to full text is restricted to subscribers.
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:taf:tjorxx:v:73:y:2022:i:8:p:1812-1827
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjor20
DOI: 10.1080/01605682.2021.1940327
Access Statistics for this article
Journal of the Operational Research Society is currently edited by Tom Archibald
More articles in Journal of the Operational Research Society from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().