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Privacy Disclosure on Electronic Commerce

Kai Gao et al.

International Journal of Information Security and Privacy2025https://doi.org/10.4018/ijisp.384917article
ABDC C
Weight
0.50

What the paper says

This study examines the effects and underlying mechanisms of algorithmic invasion and algorithmic transparency on users' privacy disclosure intentions within the context of electronic commerce platforms. The research consists of three studies: Studies 1 and 2 are controlled experiments with 120 participants. Study 3 is an empirical investigation, involving 400 online questionnaires. The findings reveal that algorithmic invasion negatively affects users' privacy disclosure intention, while algorithmic transparency has a positive influence. Psychological resistance and trust mediate the relationship between algorithmic invasion and privacy disclosure intention, whereas perceived risk and trust mediate the relationship between algorithmic transparency and privacy disclosure intention. Additionally, algorithmic invasion and transparency influence privacy disclosure intention sequentially through these mediators. This study contributes to understanding how algorithmic transparency and algorithmic invasion shape privacy-related behaviors.

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https://doi.org/https://doi.org/10.4018/ijisp.384917

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@article{kai2025,
  title        = {{Privacy Disclosure on Electronic Commerce}},
  author       = {Kai Gao et al.},
  journal      = {International Journal of Information Security and Privacy},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.4018/ijisp.384917},
}

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Privacy Disclosure on Electronic Commerce

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.