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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
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    Citations

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    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. Chakraborty, Debarun & Kumar Kar, Arpan & Patre, Smruti & Gupta, Shivam, 2024. "Enhancing trust in online grocery shopping through generative AI chatbots," Journal of Business Research, Elsevier, vol. 180(C).
    7. 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.
    8. 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.

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