Rethinking privacy in the Internet of Things

A comprehensive review of consumer studies and theories

Bibliographic Data

ID15005995
AuthorsAna Alina Tudoran (0000-0002-1380-4775, Aarhus University, corresponding author)
Year2025
Volume35
Issue2
Pages514-545
Publication date2025-03-18
Open AccessYes
TypeARTICLE
VenueInternet Research (JOURNAL)
Journal identifiersISSN: 1066-2243 • E-ISSN: 2054-5657
PublisherEmerald (PUBLISHER)
DOI10.1108/intr-01-2023-0029
OpenAlexW4399278742
LanguageEN
Citations received2
References cited120

Purpose This study aims to analyze and synthesize literature on consumer privacy-related behavior and intelligent device-to-device interactions within the Internet of Things (IoT). Design/methodology/approach We conducted a systematic review using Elsevier’s Scopus database, focusing on studies published in English from 2000 to 2023. The review targeted articles within selected social sciences and business disciplines, specifically concerning consumer behavior in IoT contexts. Findings We categorized the privacy literature into three thematic clusters: legislation and policy, business implications and consumer behavior. Within the consumer behavior cluster, our analysis indicates a shift from general Internet and e-commerce privacy concerns prior to 2016, toward issues related to advertising and policy between 2017 and 2018, and increasingly toward pronounced concerns in technological systems, particularly IoT, from 2019 onwards. We identify eight distinct areas of privacy concern within IoT and propose a framework that links antecedents and privacy concerns to subsequent attitudes and behaviors. This framework highlights varying patterns of information disclosure and bridges theoretical constructs with empirical research in IoT privacy. Originality/value Originality lies in enhancing the Antecedents-Privacy Concerns-Outcomes (APCO) macro-model by integrating diverse theoretical perspectives on technological and individual-specific antecedents, alongside privacy concerns and beliefs. This comprehensive integration enriches the framework, enabling it to predict and categorize consumer behavior in IoT environments more effectively. The revised model provides a robust tool for understanding privacy-related behavior within the IoT, significantly enriching its theoretical relevance and practical applicability.

Advertising · Business · Consumer privacy · Information privacy · Internet of Things · Internet privacy · Sociology · The Internet · World Wide Web · Computer Science · Privacy, Security, and Data Protection · Sharing Economy and Platforms · Technology Adoption and User Behaviour

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