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Technically feasible, ethically questionable? Psychological pitfalls of digital eavesdropping

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  • Krause, Kevin
  • Groeppel-Klein, Andrea

Abstract

Digital eavesdropping refers to a little-known yet legally permissible data provenance technology that enables mobile devices to listen to personal (“face-to-face”) conversations, to identify keywords, and to deliver personalized advertisements to unsuspecting users. Unlike (re-)targeting, which relies on online browsing behavioral data provenance, digital eavesdropping generates personalized advertising based on spoken (offline) words. Across seven experiments involving various products and services, it is demonstrated that digital eavesdropping elicits heightened perceptions of creepiness – exceeding that of retargeting. This creepiness triggers adverse reactions to advertisements, including negative attitudes and reduced click-through, indifferent to trait variables. These effects are especially pronounced when ads are perceived as accurately tailored to consumers’ former voiced desires and, surprisingly, when consumers are explicitly informed about the ad algorithms and how digital eavesdropping operates. The findings suggest that the implementation of digital eavesdropping harms marketing effectiveness, should be approached with caution, and employed only under highly restricted circumstances.

Suggested Citation

  • Krause, Kevin & Groeppel-Klein, Andrea, 2026. "Technically feasible, ethically questionable? Psychological pitfalls of digital eavesdropping," Journal of Business Research, Elsevier, vol. 204(C).
    • Handle: RePEc:eee:jbrese:v:204:y:2026:i:c:s0148296325006629
    DOI: 10.1016/j.jbusres.2025.115839
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    References listed on IDEAS

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    1. Bleier, Alexander & Eisenbeiss, Maik, 2015. "The Importance of Trust for Personalized Online Advertising," Journal of Retailing, Elsevier, vol. 91(3), pages 390-409.
    2. Ajay Kumar & Daruri Venkata Srinivas Kumar & R. U. Megha, 2024. "I know what you browsed last night! role of creepiness and persuasion knowledge on click intention of online behavioral advertising," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 51(3), pages 303-319, September.
    3. James A. Mourey & Ari Ezra Waldman, 2020. "Past the Privacy Paradox: The Importance of Privacy Changes as a Function of Control and Complexity," Journal of the Association for Consumer Research, University of Chicago Press, vol. 5(2), pages 162-180.
    4. Strycharz, Joanna & Segijn, Claire M., 2024. "Ethical side-effect of dataveillance in advertising: Impact of data collection, trust, privacy concerns and regulatory differences on chilling effects," Journal of Business Research, Elsevier, vol. 173(C).
    5. Segijn, Claire M. & Kim, Eunah & Lee, Garim & Gansen, Chloe & Boerman, Sophie C., 2024. "The intended and unintended effects of synced advertising: When persuasion knowledge could help or backfire," International Journal of Research in Marketing, Elsevier, vol. 41(1), pages 156-169.
    6. Cai, Han & Mardani, Abbas, 2023. "Research on the impact of consumer privacy and intelligent personalization technology on purchase resistance," Journal of Business Research, Elsevier, vol. 161(C).
    7. Grigorios, Lamprinakos & Magrizos, Solon & Kostopoulos, Ioannis & Drossos, Dimitrios & Santos, David, 2022. "Overt and covert customer data collection in online personalized advertising: The role of user emotions," Journal of Business Research, Elsevier, vol. 141(C), pages 308-320.
    8. J. Luzak & A. J. Wulf & O. Seizov & M. B. M. Loos & M. Junuzović, 2023. "ABC of Online Consumer Disclosure Duties: Improving Transparency and Legal Certainty in Europe," Journal of Consumer Policy, Springer, vol. 46(3), pages 307-333, September.
    9. Butori, Raphaëlle & Lancelot Miltgen, Caroline, 2023. "A construal level theory approach to privacy protection: The conjoint impact of benefits and risks of information disclosure," Journal of Business Research, Elsevier, vol. 168(C).
    10. Tamara Dinev & Paul Hart, 2006. "An Extended Privacy Calculus Model for E-Commerce Transactions," Information Systems Research, INFORMS, vol. 17(1), pages 61-80, March.
    11. Alexander Bleier & Maik Eisenbeiss, 2015. "Personalized Online Advertising Effectiveness: The Interplay of What, When, and Where," Marketing Science, INFORMS, vol. 34(5), pages 669-688, September.
    12. Amol S. Dhaigude & Debmallya Chatterjee & Soma Lilhare & Sudhir Ambekar, 2019. "Vignettes-based research in behavioural operations management," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 19(1), pages 65-84.
    13. Maseeh, Haroon Iqbal & Jebarajakirthy, Charles & Pentecost, Robin & Ashaduzzaman, Md. & Arli, Denni & Weaven, Scott, 2021. "A meta-analytic review of mobile advertising research," Journal of Business Research, Elsevier, vol. 136(C), pages 33-51.
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