Paying with your data. Privacy tradeoffs in ride-hailing services

Michał Paliński

Applied Economics Letters, 2022, vol. 29, issue 18, 1719-1725

Abstract: We carried out a discrete choice experiment to test users’ readiness to co-finance a ride-hailing service using their personal data. We designed an experiment in which respondents were asked to choose between a regular service and hypothetical app-based taxi rides offering discounts in exchange for respondents consenting to their personal data being shared. Our analysis compared how awareness of rights stemming from the GDPR affects respondents’ privacy preferences. Cross-group analysis indicated that reminding users about their rights stemming from the GDPR significantly increases the value they ascribe to protection of personal data. The results of WTA analysis suggest that there is a market for ‘pay with your data’ business models.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2021.1959891 (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:apeclt:v:29:y:2022:i:18:p:1719-1725

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20

DOI: 10.1080/13504851.2021.1959891

Access Statistics for this article

Applied Economics Letters is currently edited by Anita Phillips

More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().