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A Theory of Multilevel Information Privacy Management for the Digital Era

Author

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  • France Bélanger

    (Pamplin College of Business, Virginia Tech, Blacksburg, Virginia 24061)

  • Tabitha L. James

    (Pamplin College of Business, Virginia Tech, Blacksburg, Virginia 24061)

Abstract

In the digital era, it is increasingly important to understand how privacy decisions are made because information is frequently perceived as a commodity that is mismanaged. The preponderance of privacy literature focuses on individual-level information privacy concern and personal self-disclosure decisions. We propose that a more versatile multilevel description is required to enable exploration of complex privacy decisions that involve co-owned (i.e., group) information in increasingly sophisticated digital environments. We define the concepts of group and individual information privacy, “we-privacy” and “I-privacy” respectively, as the ability of an individual or group to construct, regulate, and apply the rules for managing their information and interaction with others. We develop the theory of multilevel information privacy (TMIP), which uses the theory of communication privacy management and the developmental theory of privacy as foundations for a social rule-based (i.e., normative) process of making privacy decisions that evolve over time with experience. The TMIP contributes to the privacy literature by drawing from prominent social psychology theories of group behavior (i.e., social identity and self-categorization theories) to explain how privacy decisions can be made by individuals or groups (i.e., social units) or social units acting as members of a particular group. We contend that technology complicates the privacy decision-making process by adding unique environmental characteristics that can influence the social identity assumed for a particular privacy decision, the estimation of the cost-benefit components of the privacy calculus, and the application and evolution of the norms that define the rules for information and interaction management. We discuss the implications of the TMIP for information systems research and provide a research agenda.

Suggested Citation

  • France Bélanger & Tabitha L. James, 2020. "A Theory of Multilevel Information Privacy Management for the Digital Era," Information Systems Research, INFORMS, vol. 31(2), pages 510-536, June.
  • Handle: RePEc:inm:orisre:v:31:y:2020:i:2:p:510-536
    DOI: 10.1287/isre.2019.0900
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    References listed on IDEAS

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    Cited by:

    1. Cloarec, Julien, 2020. "The personalization–privacy paradox in the attention economy," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    2. Escamilla, Rafael & Brosi, Prisca & Fransoo, Jan C. & Mora-Quiñones, Camilo & Mejia Argueta, Christopher, 2024. "Tax privacy concerns hamper digitization of the nanostore channel," Other publications TiSEM 8ead01df-f8bf-421a-911d-3, Tilburg University, School of Economics and Management.
    3. Anjuli Franz & Alexander Benlian, 2022. "Exploring interdependent privacy – Empirical insights into users’ protection of others’ privacy on online platforms," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2293-2309, December.
    4. Xudong Lin & Shuilin Liu & Xiaoli Huang & Hanyang Luo & Sumin Yu, 2021. "Platform Revenue Strategy Selection Considering Consumer Group Data Privacy Regulation," Mathematics, MDPI, vol. 9(22), pages 1-24, November.
    5. Shaw, Norman & Eschenbrenner, Brenda & Brand, Benedikt M., 2022. "Towards a Mobile App Diffusion of Innovations model: A multinational study of mobile wallet adoption," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    6. Franz, Anjuli & Benlian, Alexander, 2022. "Exploring interdependent privacy – Empirical insights into users’ protection of others’ privacy on online platforms," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 133552, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    7. V. S. Prakash Attili & Saji K. Mathew & Vijayan Sugumaran, 2022. "Information Privacy Assimilation in IT Organizations," Information Systems Frontiers, Springer, vol. 24(5), pages 1497-1513, October.
    8. Kim, Yeolib & Kim, Seung Hyun & Peterson, Robert A. & Choi, Jeonghye, 2023. "Privacy concern and its consequences: A meta-analysis," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    9. Dassel, Katharina Sophie & Klein, Stefan, 2023. "To Zoom or not: Diverging responses to privacy and security risks," Journal of Business Research, Elsevier, vol. 161(C).

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