Sep 2026· Journal of Theoretical and Applied Electronic Commerce Research· Vol 21, pp. 313· 0 citations· 71 references
TL;DR
Findings show privacy concerns do not directly inhibit disclosure intention; instead, they are strongly associated with perceived risk, which is negatively associated with disclosure intention.
Abstract
Consumer self-disclosure remains a central question in digital markets, as e-commerce participation increasingly depends on voluntary personal information sharing. Despite extensive application of privacy calculus theory, empirical findings regarding privacy concerns, trust, and perceived risk remain inconsistent, suggesting that the structural relationships underlying privacy trade-offs may vary across consumers and contexts. This study examines how privacy concerns, perceived benefits, perceived risk, and trust relate to perceived risk and personal information disclosure intention in e-commerce, and whether these structural relationships differ between consumers with higher and lower perceived privacy control (PPC). Survey data from 743 online consumers were analyzed using partial least squares structural equation modeling and multigroup comparisons between consumers with high and low perceived privacy control. Findings show privacy concerns do not directly inhibit disclosure intention; instead, they are strongly associated with perceived risk, which is negatively associated with disclosure intention. The results reveal a separation between benefit and risk appraisal: perceived benefits motivate disclosure intention but do not significantly reduce perceived risk. The multigroup results reveal significant structural differences between the relatively high- and low-PPC groups. In the relatively high-PPC group, the relationship between perceived benefits and disclosure intention is stronger, as is the negative relationship between trust and perceived risk. In the relatively low-PPC group, perceived risk exerts a stronger inhibiting effect, while trust assumes a compensatory role, helping consumers navigate limited agency. By identifying structural heterogeneity in the privacy calculus across PPC groups, this study explains variations in disclosure decisions and clarifies inconsistent findings in prior research.
This research examines the privacy paradox by exploring how young adults navigate security, trust, and online closeness in customer service engagements on social media. It examines the impact of message tone, audience targeting, and customer feedback on perceived usefulness, perceived breach of confidentiality, custome...
Dennis Franscico Chandiona· Journal of Media & Manag...· 0 citations
This study examines the personalization-privacy trade-off in AI-driven e-commerce by investigating how AI-driven personalization, privacy concern, and consumer trust jointly influence online purchase decisions among Generation Z consumers. Rather than treating personalization and privacy as opposing forces, this study...
H. Ngo, Lan Thu Nguyễn· Tạp chí Khoa học Đại học Côn...· 0 citations
Perceived benefits, privacy self-efficacy, and privacy cynicism are tested as moderating factors for the privacy paradox on both horizontal and vertical dimensions of privacy on social media.
Laurent H. Wang, T. Dienlin, Miriam J. Metzger· Cyberpsychology: Journal of...· 0 citations
This study examines how data privacy concerns shape consumer engagement with AI-enabled global digital platforms in Bangladesh and tests perceived trust as an intervening mechanism. The study responds to the rapid normalization of data-intensive platform services in an emerging digital economy, where privacy concern, t...
Jannat Mst. Tahsina, Juthy Atifa Akter, Akter Sraboni et al.· International research journ...· 0 citations
Highlights What are the main findings? Privacy concerns were negatively associated with health information sharing intention, whereas attitude toward sharing, social rewards, past positive experience, and trust were positively associated with sharing intention. Low privacy concerns appeared in four of the five high-int...
Drawing on the Stimulus–Organism–Response (S-O-R) framework, this study examines how consumers’ perceptions of information quality, personalization, explainability, and responsiveness are associated with purchase intention through their relationships with perceived usefulness, algorithmic trust, and privacy concern, wh...