IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v200y2024ics0040162523007862.html
   My bibliography  Save this article

Tracking technologies in eHealth: Revisiting the personalization-privacy paradox through the transparency-control framework

Author

Listed:
  • Cloarec, Julien
  • Cadieu, Charlotte
  • Alrabie, Nour

Abstract

Our research highlights the evolving landscape of online privacy, emphasizing the growing compliance pressure on tech companies and website owners due to GDPR regulations, particularly concerning cookie banners. The regulation of these banners for personalization underscores the trade-off known as the personalization-privacy paradox. Although recent studies emphasize the positive role of transparency and control in enhancing the digital experience, they often approached them in a static and isolated manner. We introduce a new approach to operationalizing transparency and control in our study within the context of Doctissimo, a well-known French health and wellness website recognized for aggregating user-generated health data and employing advertising trackers for marketing objectives. In Study 1, we examined banner transparency, demonstrating its positive effect on click-through intention via a preference for personalization over privacy. Study 2 focused on banner privacy controls and revealed that the impact of control was entirely mediated by the intrusion of information boundaries and the preference for personalization over privacy. This research contributes to the literature by investigating the personalization privacy paradox using an innovative operationalization within the transparency-control framework.

Suggested Citation

  • Cloarec, Julien & Cadieu, Charlotte & Alrabie, Nour, 2024. "Tracking technologies in eHealth: Revisiting the personalization-privacy paradox through the transparency-control framework," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  • Handle: RePEc:eee:tefoso:v:200:y:2024:i:c:s0040162523007862
    DOI: 10.1016/j.techfore.2023.123101
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162523007862
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2023.123101?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. Mummolo, Jonathan & Peterson, Erik, 2019. "Demand Effects in Survey Experiments: An Empirical Assessment," American Political Science Review, Cambridge University Press, vol. 113(2), pages 517-529, May.
    3. Ashlee Humphreys & Rebecca Jen-Hui Wang & Eileen FischerEditor & Linda PriceAssociate Editor, 2018. "Automated Text Analysis for Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(6), pages 1274-1306.
    4. Julien Cloarec, 2022. "Privacy controls as an information source to reduce data poisoning in artificial intelligence-powered personalization," Post-Print hal-03816601, HAL.
    5. Robert E. Crossler & France Bélanger, 2019. "Why Would I Use Location-Protective Settings on My Smartphone? Motivating Protective Behaviors and the Existence of the Privacy Knowledge–Belief Gap," Information Systems Research, INFORMS, vol. 30(3), pages 995-1006, September.
    6. Kelly D. Martin & Patrick E. Murphy, 2017. "The role of data privacy in marketing," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 135-155, March.
    7. Cloarec, Julien, 2022. "Privacy controls as an information source to reduce data poisoning in artificial intelligence-powered personalization," Journal of Business Research, Elsevier, vol. 152(C), pages 144-153.
    8. Caleb Warren & Margaret C. Campbell, 2014. "What Makes Things Cool? How Autonomy Influences Perceived Coolness," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(2), pages 543-563.
    9. Grün, Bettina & Hornik, Kurt, 2011. "topicmodels: An R Package for Fitting Topic Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i13).
    10. Lars Meyer-Waarden & Julien Cloarec & Carolin Adams & Dorothea Nilusha Aliman & Virginie Wirth, 2021. "Home, sweet home : How well-being shapes the adoption of artificial intelligence-powered apartments in smart cities," Post-Print hal-04076872, HAL.
    11. Stephen A. Spiller, 2011. "Opportunity Cost Consideration," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 38(4), pages 595-610.
    12. Navdeep S. Sahni & S. Christian Wheeler & Pradeep Chintagunta, 2018. "Personalization in Email Marketing: The Role of Noninformative Advertising Content," Marketing Science, INFORMS, vol. 37(2), pages 236-258, March.
    13. Caroline Lancelot Miltgen & H. Jeff Smith, 2019. "Falsifying and withholding: exploring individuals’ contextual privacy-related decision-making," Post-Print hal-02156671, HAL.
    14. Julien Cloarec & Lars Meyer‐waarden & Andreas Munzel, 2022. "The personalization–privacy paradox at the nexus of social exchange and construal level theories," Post-Print hal-03385873, HAL.
    15. Cloarec, Julien, 2020. "The personalization–privacy paradox in the attention economy," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    16. Michael Trusov & Liye Ma & Zainab Jamal, 2016. "Crumbs of the Cookie: User Profiling in Customer-Base Analysis and Behavioral Targeting," Marketing Science, INFORMS, vol. 35(3), pages 405-426, May.
    17. Meyer-Waarden, Lars & Cloarec, Julien, 2022. "“Baby, you can drive my car”: Psychological antecedents that drive consumers’ adoption of AI-powered autonomous vehicles," Technovation, Elsevier, vol. 109(C).
    18. Kirsten Martin, 2016. "Understanding Privacy Online: Development of a Social Contract Approach to Privacy," Journal of Business Ethics, Springer, vol. 137(3), pages 551-569, September.
    19. Krafft, Manfred & Arden, Christine M. & Verhoef, Peter C., 2017. "Permission Marketing and Privacy Concerns — Why Do Customers (Not) Grant Permissions?," Journal of Interactive Marketing, Elsevier, vol. 39(C), pages 39-54.
    20. Lars Meyer-Waarden & Julien Cloarec & Carolin Adams & Dorothea Nilusha Aliman & Virginie Wirth, 2021. "Home, sweet home: How well-being shapes the adoption of artificial intelligence-powered apartments in smart cities," Post-Print hal-03509671, HAL.
    21. Konuş, Umut & Verhoef, Peter C. & Neslin, Scott A., 2008. "Multichannel Shopper Segments and Their Covariates," Journal of Retailing, Elsevier, vol. 84(4), pages 398-413.
    22. Bleier, Alexander & Goldfarb, Avi & Tucker, Catherine, 2020. "Consumer privacy and the future of data-based innovation and marketing," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 466-480.
    23. Audrey Portes & Gilles N’goala & Anne-Sophie Cases, 2020. "Digital transparency: Dimensions, antecedents and consequences on the quality of customer relationships," Post-Print hal-04533084, HAL.
    24. Aguirre, Elizabeth & Mahr, Dominik & Grewal, Dhruv & de Ruyter, Ko & Wetzels, Martin, 2015. "Unraveling the Personalization Paradox: The Effect of Information Collection and Trust-Building Strategies on Online Advertisement Effectiveness," Journal of Retailing, Elsevier, vol. 91(1), pages 34-49.
    25. Audrey Portes & Gilles N’goala & Anne-Sophie Cases, 2020. "Digital transparency: Dimensions, antecedents and consequences on the quality of customer relationships," Post-Print hal-03513422, HAL.
    26. Gouthier, Matthias H.J. & Nennstiel, Carina & Kern, Nora & Wendel, Lars, 2022. "The more the better? Data disclosure between the conflicting priorities of privacy concerns, information sensitivity and personalization in e-commerce," Journal of Business Research, Elsevier, vol. 148(C), pages 174-189.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cloarec, Julien, 2022. "Privacy controls as an information source to reduce data poisoning in artificial intelligence-powered personalization," Journal of Business Research, Elsevier, vol. 152(C), pages 144-153.
    2. Pallant, Jason I. & Pallant, Jessica L. & Sands, Sean J. & Ferraro, Carla R. & Afifi, Eslam, 2022. "When and how consumers are willing to exchange data with retailers: An exploratory segmentation," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    3. Cloarec, Julien, 2020. "The personalization–privacy paradox in the attention economy," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    4. Chen, Yanyan & Mandler, Timo & Meyer-Waarden, Lars, 2021. "Three decades of research on loyalty programs: A literature review and future research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 179-197.
    5. Lena Steinhoff & Denni Arli & Scott Weaven & Irina V. Kozlenkova, 2019. "Online relationship marketing," Journal of the Academy of Marketing Science, Springer, vol. 47(3), pages 369-393, May.
    6. Scholdra, Thomas P. & Wichmann, Julian R.K. & Reinartz, Werner J., 2023. "Reimagining personalization in the physical store," Journal of Retailing, Elsevier, vol. 99(4), pages 563-579.
    7. Felipe Thomaz & Carolina Salge & Elena Karahanna & John Hulland, 2020. "Learning from the Dark Web: leveraging conversational agents in the era of hyper-privacy to enhance marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 43-63, January.
    8. Grosso, Monica & Castaldo, Sandro & Li, Hua (Ariel) & Larivière, Bart, 2020. "What Information Do Shoppers Share? The Effect of Personnel-, Retailer-, and Country-Trust on Willingness to Share Information," Journal of Retailing, Elsevier, vol. 96(4), pages 524-547.
    9. H. Li & A. Nill, 2020. "Online Behavioral Targeting: Are Knowledgeable Consumers Willing to Sell Their Privacy?," Journal of Consumer Policy, Springer, vol. 43(4), pages 723-745, December.
    10. David A. Schweidel & Yakov Bart & J. Jeffrey Inman & Andrew T. Stephen & Barak Libai & Michelle Andrews & Ana Babić Rosario & Inyoung Chae & Zoey Chen & Daniella Kupor & Chiara Longoni & Felipe Thomaz, 2022. "How consumer digital signals are reshaping the customer journey," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1257-1276, November.
    11. Markos, Ereni & Labrecque, Lauren I. & Milne, George R., 2018. "A New Information Lens: The Self-concept and Exchange Context as a Means to Understand Information Sensitivity of Anonymous and Personal Identifying Information," Journal of Interactive Marketing, Elsevier, vol. 42(C), pages 46-62.
    12. Dhruv Grewal & John Hulland & Praveen K. Kopalle & Elena Karahanna, 2020. "The future of technology and marketing: a multidisciplinary perspective," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 1-8, January.
    13. Degutis, Mindaugas & UrbonaviÄ ius, Sigitas & Hollebeek, Linda D. & Anselmsson, Johan, 2023. "Consumers’ willingness to disclose their personal data in e-commerce: A reciprocity-based social exchange perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    14. Ertugrul Uysal & Sascha Alavi & Valéry Bezençon, 2022. "Trojan horse or useful helper? A relationship perspective on artificial intelligence assistants with humanlike features," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1153-1175, November.
    15. Blasco-Arcas, Lorena & Kastanakis, Minas N. & Alcañiz, Mariano & Reyes-Menendez, Ana, 2023. "Leveraging user behavior and data science technologies for management: An overview," Journal of Business Research, Elsevier, vol. 154(C).
    16. Bleier, Alexander & Goldfarb, Avi & Tucker, Catherine, 2020. "Consumer privacy and the future of data-based innovation and marketing," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 466-480.
    17. Okazaki, Shintaro & Eisend, Martin & Plangger, Kirk & de Ruyter, Ko & Grewal, Dhruv, 2020. "Understanding the Strategic Consequences of Customer Privacy Concerns: A Meta-Analytic Review," Journal of Retailing, Elsevier, vol. 96(4), pages 458-473.
    18. Lütjens, Henk & Eisenbeiss, Maik & Fiedler, Maximilian & Bijmolt, Tammo, 2022. "Determinants of consumers’ attitudes towards digital advertising – A meta-analytic comparison across time and touchpoints," Journal of Business Research, Elsevier, vol. 153(C), pages 445-466.
    19. Riegger, Anne-Sophie & Merfeld, Katrin & Klein, Jan F. & Henkel, Sven, 2022. "Technology-enabled personalization: Impact of smart technology choice on consumer shopping behavior," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    20. El Hana, Nadr & Mercanti-Guérin, Maria & Sabri, Ouidade, 2023. "Cookiepocalypse: What are the most effective strategies for advertisers to reshape the future of display advertising?," Technological Forecasting and Social Change, Elsevier, vol. 188(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:200:y:2024:i:c:s0040162523007862. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.