IDEAS home Printed from https://ideas.repec.org/a/eee/ininma/v51y2020ics026840121831137x.html
   My bibliography  Save this article

A meta-analysis to explore privacy cognition and information disclosure of internet users

Author

Listed:
  • Yu, Lu
  • Li, He
  • He, Wu
  • Wang, Feng-Kwei
  • Jiao, Shiqiao

Abstract

Based on the Elaboration Likelihood Model (ELM), this study identifies the differences between perceived privacy risks and privacy concern. Furthermore, the study analyses how perceived privacy risks and privacy concerns affect the disclosure intention and the actual information disclosure behavior of Internet users. In addition, the study discusses the moderating effects of platform types, from the perspective of privacy elaboration likelihood. By applying meta-analyses and SEM on 104 independent studies with 42,256 samples from existing empirical studies, we attempt to systematically reveal the relationship between privacy cognition and information disclosure. The results show that perceived privacy risks can significantly reduce personal information disclosure intention, as well as actual information disclosure behavior. However, privacy concerns only affect disclosure intention, but do not have a significant effect on actual information disclosure behavior. The study also verified that platform types have moderating effects on the privacy decision making of Internet users. The findings yield important and useful implications, both for research and for practice.

Suggested Citation

  • Yu, Lu & Li, He & He, Wu & Wang, Feng-Kwei & Jiao, Shiqiao, 2020. "A meta-analysis to explore privacy cognition and information disclosure of internet users," International Journal of Information Management, Elsevier, vol. 51(C).
    • Handle: RePEc:eee:ininma:v:51:y:2020:i:c:s026840121831137x
    DOI: 10.1016/j.ijinfomgt.2019.09.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S026840121831137X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijinfomgt.2019.09.011?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qingfeng Zeng & Qian Guo & Wei Zhuang & Yu Zhang & Weiguo Fan, 2023. "Do Real-Time Reviews Matter? Examining how Bullet Screen Influences Consumers’ Purchase Intention in Live Streaming Commerce," Information Systems Frontiers, Springer, vol. 25(5), pages 2051-2067, October.
    2. Anna D’Annunzio & Elena Menichelli, 2022. "A market for digital privacy: consumers’ willingness to trade personal data and money," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(3), pages 571-598, September.
    3. Ibrahim Mutambik & John Lee & Abdullah Almuqrin & Waleed Halboob & Taha Omar & Ahmad Floos, 2022. "User concerns regarding information sharing on social networking sites: The user’s perspective in the context of national culture," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-27, January.
    4. Tawfiq Alashoor & Mark Keil & H. Jeff Smith & Allen R. McConnell, 2023. "Too Tired and in Too Good of a Mood to Worry About Privacy: Explaining the Privacy Paradox Through the Lens of Effort Level in Information Processing," Information Systems Research, INFORMS, vol. 34(4), pages 1415-1436, December.
    5. Yi Su & Liyin Jin, 2022. "The Impact of Online Platforms’ Revenue Model on Consumers’ Ethical Inferences," Journal of Business Ethics, Springer, vol. 178(2), pages 555-569, June.
    6. Katharina Baum & Olga Abramova & Stefan Meißner & Hanna Krasnova, 2023. "The effects of targeted political advertising on user privacy concerns and digital product acceptance: A preference-based approach," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-17, December.
    7. Hung-Pin Shih & Wuqiang Liu, 2023. "Beyond the trade-offs on Facebook: the underlying mechanisms of privacy choices," Information Systems and e-Business Management, Springer, vol. 21(2), pages 353-387, June.

    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:ininma:v:51:y:2020:i:c:s026840121831137x. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: https://www.journals.elsevier.com/international-journal-of-information-management .

    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.