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A Systematic Literature Review of Privacy Information Disclosure in AI-Integrated Internet of Things (IoT) Technologies

Author

Listed:
  • M A Shariful Amin

    (Dr. Sam Pack College of Business, Tarleton State University, Stephenville, TX 76401, USA)

  • Seongjin Kim

    (College of Business, Louisiana Tech University, Ruston, LA 71272, USA)

  • Md Al Samiul Amin Rishat

    (Department of Information Science, University of North Texas, Denton, TX 76203, USA)

  • Zhenya Tang

    (Monfort College of Business, University of Northern Colorado, Greeley, CO 80639, USA)

  • Hyunchul Ahn

    (Graduate School of Business IT, Kookmin University, Seoul 02707, Republic of Korea)

Abstract

The rapid advancement and integration of Artificial Intelligence (AI) in Internet of Things (IoT) technologies have raised significant concerns regarding privacy information disclosure. As AI-enabled IoT devices collect, process, and share vast amounts of personal data, it is crucial to understand the current state of research on this topic and identify areas for future investigation. This research systematically analyzed 38 peer-reviewed articles on privacy information disclosure in the AI-enabled IoT context. The analysis yielded pivotal themes pertinent to information disclosure in the IoT realm, encompassing facets such as consumer IoT adoption, personalized service, the commodification of information, external threats, vulnerability, innovation, regulation, behavioral patterns, trust, demographic considerations, user satisfaction, strategic marketing plans, and institutional reputation. This paper posits a combined summary research framework explaining user-centric information disclosure behavior in the IoT sphere in light of these disclosures. The insights presented cater to diverse stakeholders, including researchers, policymakers, and businesses, aiming for optimized AI-integrated IoT engagement while prioritizing privacy.

Suggested Citation

  • M A Shariful Amin & Seongjin Kim & Md Al Samiul Amin Rishat & Zhenya Tang & Hyunchul Ahn, 2024. "A Systematic Literature Review of Privacy Information Disclosure in AI-Integrated Internet of Things (IoT) Technologies," Sustainability, MDPI, vol. 17(1), pages 1-26, December.
    • Handle: RePEc:gam:jsusta:v:17:y:2024:i:1:p:8-:d:1551432
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    References listed on IDEAS

    as
    1. Chang, Victor, 2021. "An ethical framework for big data and smart cities," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    2. Zeng, Fue & Ye, Qing & Li, Jing & Yang, Zhilin, 2021. "Does self-disclosure matter? A dynamic two-stage perspective for the personalization-privacy paradox," Journal of Business Research, Elsevier, vol. 124(C), pages 667-675.
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