Measures internet users' concerns about personal information privacy across three dimensions: collection (discomfort with companies collecting personal data), control (desire for control over how personal data is used), and awareness (knowledge of privacy practices and data use). Privacy concerns are a key barrier to online data sharing, personalisation acceptance, and digital service adoption.
Likert (1–7, strongly disagree to strongly agree)
Collection — concern about data being collected (Likert 1–7, strongly disagree to strongly agree)
Control — desire to control personal information
Awareness — knowledge of privacy practices
Full scale items shown. Always cite the original source when using this scale in research.
Three subscale scores. Score = mean per dimension. Privacy concerns reduce willingness to share personal data, reducing acceptance of personalised advertising and recommendation systems. Increasingly important post-GDPR. Paradox: consumers express high privacy concerns but readily share information for small benefits (the 'privacy paradox').
Malhotra, N.K., Kim, S.S., & Agarwal, J. (2004). Internet users' information privacy concerns (IUIPC): The construct, the scale, and a causal model. Information Systems Research, 15(4), 336–355.
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