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Why free does not mean fair: Investigating users’ distributive equity perceptions of data-driven services

Author

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  • Wagner, Amina
  • Wessels, Nora
  • Brakemeier, Hendrik
  • Buxmann, Peter

Abstract

Individuals are supposed to perform a privacy risk-benefit analysis when deciding to transact with a free data-driven service provider. Building on equity theory, this article suggests that users incorporate the net value for providers in their trade-off. Based on two pre-studies and an experimental survey study among 200 free data-driven service users, we provide evidence that users’ balance their own net value (benefits minus risks) as well as providers’ net value from monetizing users’ data. This leads to distributive equity perceptions which, in turn, affect users’ satisfaction with the service and thus long-term success of the user-provider-relationship. In this vein, a distributive equity scale for the context of data-driven services is developed. Implications for research, providers and users are discussed.

Suggested Citation

  • Wagner, Amina & Wessels, Nora & Brakemeier, Hendrik & Buxmann, Peter, 2021. "Why free does not mean fair: Investigating users’ distributive equity perceptions of data-driven services," International Journal of Information Management, Elsevier, vol. 59(C).
    • Handle: RePEc:eee:ininma:v:59:y:2021:i:c:s0268401221000268
    DOI: 10.1016/j.ijinfomgt.2021.102333
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    Cited by:

    1. Trabucchi, Daniel & Patrucco, Andrea S. & Buganza, Tommaso & Marzi, Giacomo, 2023. "Is transparency the new green? How business model transparency influences digital service adoption," Technovation, Elsevier, vol. 126(C).

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