Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/214065
Authors: 
Poort, Joost
Zuiderveen Borgesius, Frederik J.
Year of Publication: 
2019
Citation: 
[Journal:] Internet Policy Review [ISSN:] 2197-6775 [Volume:] 8 [Year:] 2019 [Issue:] 1 [Pages:] 1-20
Abstract: 
Online stores can present a different price to each customer. Such algorithmic personalised pricing can lead to advanced forms of price discrimination based on the characteristics and behaviour of individual consumers. We conducted two consumer surveys among a representative sample of the Dutch population (N=1233 and N=1202), to analyse consumer attitudes towards a list of examples of price discrimination and dynamic pricing. A vast majority finds online price discrimination unfair and unacceptable, and thinks it should be banned. However, some pricing strategies that have been used by companies for decades are almost equally unpopular. We analyse the results to better understand why people dislike many types of price discrimination.
Subjects: 
Price discrimination
Personalised pricing
Dynamic pricing
Algorithmic pricing
Data protection
Data protection law
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by/3.0/de/legalcode
Document Type: 
Article

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