Why online personalized pricing is unfair

Autor:	Jeffrey Moriarty
Rok vydání:	2021
Předmět:	Data collection Argument Reservation TheoryofComputation_GENERAL Criticism Context (language use) Advertising Price discrimination Business Library and Information Sciences Economic surplus Database transaction Computer Science Applications
Zdroj:	Ethics and Information Technology. 23:495-503
ISSN:	1572-8439 1388-1957
DOI:	10.1007/s10676-021-09592-0
Popis:	Online retailers are using advances in data collection and computing technologies to “personalize” prices, i.e., offer goods for sale to shoppers at their reservation prices, or the highest price they are willing to pay. In this paper, I offer a criticism of this practice. I begin by putting online personalized pricing in context. It is not something entirely new, but rather a kind of price discrimination, a familiar pricing practice. I then offer a fairness-based argument against it. When an online retailer personalizes prices, it competes unfairly for the social surplus created by a transaction. I defend this argument against objections, and offer a simple remedy: online retailers should either disclose that they are personalizing prices, or stop doing so.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8a3dd52a7a0df7fccb7ff2e762222434 https://doi.org/10.1007/s10676-021-09592-0 Zobrazit plný text záznamu Full text from SpringerLink