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

M A Shariful Amin, Seongjin Kim, Md Al Samiul Amin Rishat, Zhenya Tang and Hyunchul Ahn ()
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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

Sustainability, 2024, vol. 17, issue 1, 1-26

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.

Keywords: Systematic Literature Review (SLR); privacy information disclosure; user satisfaction; artificial intelligence; Internet of Things (IoT) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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