IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-02566613.html
   My bibliography  Save this paper

Convincing consumers to share personal data: double-edged effect of offering money

Author

Listed:
  • Valentine Weydert
  • Pierre Desmet

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris sciences et lettres - CNRS - Centre National de la Recherche Scientifique, ESSEC Business School)

  • Caroline Lancelot Miltgen

    (Audencia Recherche - Audencia Business School)

Abstract

The purpose of this paper is to demonstrate how offering control on data usage and offering money can increase willingness to share private information with a data broker. Design/methodology/approach Personal data are collected for internet users with a Web questionnaire. In an experimental framework, compensations control money are manipulated and consumers' data sharing is explained by sensitivity and regulatory focus. Findings Offering control increases willingness to disclose personal data, even sensitive one, but the effect is not moderated by regulatory focus. Offering monetary compensation has a negative, but small, effect on willingness to share personal data, and the effect is moderated by regulatory focus.

Suggested Citation

  • Valentine Weydert & Pierre Desmet & Caroline Lancelot Miltgen, 2019. "Convincing consumers to share personal data: double-edged effect of offering money," Post-Print hal-02566613, HAL.
  • Handle: RePEc:hal:journl:hal-02566613
    DOI: 10.1108/JCM-06-2018-2724
    Note: View the original document on HAL open archive server: https://hal.science/hal-02566613
    as

    Download full text from publisher

    File URL: https://hal.science/hal-02566613/document
    Download Restriction: no

    File URL: https://libkey.io/10.1108/JCM-06-2018-2724?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
    ---><---

    References listed on IDEAS

    as
    1. Poels, Karolien & Dewitte, Siegfried, 2008. "Hope and self-regulatory goals applied to an advertising context: Promoting prevention stimulates goal-directed behavior," Journal of Business Research, Elsevier, vol. 61(10), pages 1030-1040, October.
    2. 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.
    3. Olivero, Nadia & Lunt, Peter, 2004. "Privacy versus willingness to disclose in e-commerce exchanges: The effect of risk awareness on the relative role of trust and control," Journal of Economic Psychology, Elsevier, vol. 25(2), pages 243-262, April.
    4. Jai, Tun-Min (Catherine) & King, Nancy J., 2016. "Privacy versus reward: Do loyalty programs increase consumers' willingness to share personal information with third-party advertisers and data brokers?," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 296-303.
    5. Benndorf, Volker & Normann, Hans-Theo, 2014. "The willingness to sell personal data," DICE Discussion Papers 143, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    6. 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.
    7. Marreiros, Helia & Tonin, Mirco & Vlassopoulos, Michael & Schraefel, M.C., 2017. "“Now that you mention it”: A survey experiment on information, inattention and online privacy," Journal of Economic Behavior & Organization, Elsevier, vol. 140(C), pages 1-17.
    8. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
    9. Caroline Lancelot Miltgen, 2009. "Online consumer privacy concerns and willingness to provide personal data on the internet," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 6(6), pages 574-603.
    10. Mosteller, Jill & Poddar, Amit, 2017. "To Share and Protect: Using Regulatory Focus Theory to Examine the Privacy Paradox of Consumers' Social Media Engagement and Online Privacy Protection Behaviors," Journal of Interactive Marketing, Elsevier, vol. 39(C), pages 27-38.
    11. Caroline Lancelot Miltgen & Dominique Peyrat-Guillard, 2014. "Cultural and generational influences on privacy concerns: a qualitative study in seven european countries," Post-Print hal-01116067, HAL.
    12. Naresh K. Malhotra & Sung S. Kim & James Agarwal, 2004. "Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model," Information Systems Research, INFORMS, vol. 15(4), pages 336-355, December.
    13. Boulding, William & Kirmani, Amna, 1993. "A Consumer-Side Experimental Examination of Signaling Theory: Do Consumers Perceive Warranties as Signals of Quality?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(1), pages 111-123, June.
    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. 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).
    2. Xie, Yi & Chen, Ke & Guo, Xiaoling, 2020. "Online anthropomorphism and consumers’ privacy concern: Moderating roles of need for interaction and social exclusion," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    3. 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.
    4. Lucia-Palacios, Laura & Pérez-López, Raúl, 2021. "Effects of Home Voice Assistants' Autonomy on Instrusiveness and Usefulness: Direct, Indirect, and Moderating Effects of Interactivity," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 41-54.
    5. Ying, Shiyi & Huang, Youlin & Qian, Lixian & Song, Jinzhu, 2023. "Privacy paradox for location tracking in mobile social networking apps: The perspectives of behavioral reasoning and regulatory focus," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    6. 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.
    7. Fehrenbach, David & Herrando, Carolina, 2021. "The effect of customer-perceived value when paying for a product with personal data: A real-life experimental study," Journal of Business Research, Elsevier, vol. 137(C), pages 222-232.
    8. Aiello, Gaetano & Donvito, Raffaele & Acuti, Diletta & Grazzini, Laura & Mazzoli, Valentina & Vannucci, Virginia & Viglia, Giampaolo, 2020. "Customers’ Willingness to Disclose Personal Information throughout the Customer Purchase Journey in Retailing: The Role of Perceived Warmth," Journal of Retailing, Elsevier, vol. 96(4), pages 490-506.
    9. Morlok, Tina & Matt, Christian & Hess, Thomas, 2017. "Privatheitsforschung in den Wirtschaftswissenschaften: Entwicklung, Stand und Perspektiven," Working Papers 1/2017, University of Munich, Munich School of Management, Institute for Information Systems and New Media.
    10. Ruwan Bandara & Mario Fernando & Shahriar Akter, 2020. "Privacy concerns in E-commerce: A taxonomy and a future research agenda," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(3), pages 629-647, September.
    11. Plangger, Kirk & Montecchi, Matteo, 2020. "Thinking Beyond Privacy Calculus: Investigating Reactions to Customer Surveillance," Journal of Interactive Marketing, Elsevier, vol. 50(C), pages 32-44.
    12. Cheng, Junjun & Chen, Bo & Huang, Zihang, 2023. "Collective-based ad transparency in targeted hotel advertising: Consumers’ regulatory focus underlying the crowd safety effect," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    13. 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.
    14. 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.
    15. Cheah, Jun-Hwa & Lim, Xin-Jean & Ting, Hiram & Liu, Yide & Quach, Sara, 2022. "Are privacy concerns still relevant? Revisiting consumer behaviour in omnichannel retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    16. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    17. 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).
    18. 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.
    19. Fast, Victoria & Sachs, Nikolai & Schnurr, Daniel, 2021. "Privacy Decision-Making in Digital Markets: Eliciting Individuals' Preferences for Transparency," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238020, International Telecommunications Society (ITS).
    20. Cloarec, Julien, 2020. "The personalization–privacy paradox in the attention economy," Technological Forecasting and Social Change, Elsevier, vol. 161(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:hal:journl:hal-02566613. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.