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Getting something for nothing? : a user-centric perspective on loyalty card schemes

  • Annika Hupfeld
  • , Chris Speed

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    1 Downloads (Pure)

    Abstract

    Loyalty cards are a form of tracking and recording technology (TRT) that enables retailers to collect data about their customers' demographic and purchase behaviours. As recompense for sharing their data consumers receive 'loyalty points' which they can redeem for exclusive discounts and rewards. The design of loyalty schemes, and TRTs more generally, plays a key role in defining the economic terms of that exchange, and ultimately the economic value of personal data. In this paper we present findings from an interview study with 12 loyalty cardholders in the UK explicating the ways in which they create (and lose) value through the everyday practice of shopping with loyalty cards and the orientations associated with them. Based on our findings we suggest cardholders are less concerned with the protection of their privacy than with leveraging its value, only some of which was economic. We provide design guidelines for TRTs that may enable consumers to derive greater value from the data they produce and share.

    Original languageEnglish
    Title of host publicationCHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery, Inc.
    Pages4443-4453
    Number of pages11
    ISBN (Print)978-1-4503-4655-9
    DOIs
    Publication statusPublished - 2 May 2017
    Event35th Annual ACM Conference on Human Factors in Computing Systems, CHI 2017 - Colorado Convention Center, Denver, United States
    Duration: 6 May 2017 → 11 May 2017
    Conference number: 35
    https://chi2017.acm.org/
    http://www.scopus.com/inward/record.url?scp=85019570374&partnerID=8YFLogxK (Link to publication in Scopus)

    Conference

    Conference35th Annual ACM Conference on Human Factors in Computing Systems, CHI 2017
    Abbreviated titleCHI 2017
    Country/TerritoryUnited States
    CityDenver
    Period6/05/17 → 11/05/17
    Internet address

    Keywords

    • Digital economy
    • Interview study
    • Loyalty cards
    • Personal data
    • Retail shopping
    • Tracking and recording technologies

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