Determinants of Behavioral Responses to Online Privacy: The Effects of Concern, Risk Beliefs, Self-Efficacy, and Communication Sources on Self-Protection Strategies
Abstract
This study identifies the underlying dimensions of privacy protection behavior and examines how it is selectively influenced by central theoretical constructs such as affect/attitude (operationalized here as privacy concern), cognitive beliefs (risk beliefs and self-efficacy beliefs), and external factors (communication effects) pertaining to online privacy. The findings reveal three unique dimensions of privacy protection behavior (i.e., opt-out, proactive, and use of privacy enhancing technologies [PET]). The results, based on survey data (n = 836), reveal that privacy concerns, risk beliefs, and self efficacy have a significant impact on self-protective action, though their impact varies across the types of behavioral strategy. While opt-out and proactive protection strategies were mainly influenced by privacy concern, the use of PET was directly influenced by risk beliefs (perceived vulnerability) and self-efficacy beliefs. Communication factors figured as an antecedent to risk beliefs (personal- and societal-level risk judgments). The theoretical and practical implications of the findings are discussed.
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RCT posits that behavioral intentions are shaped by two cognitive processes: threat appraisal and coping appraisal.
“RCT posits that behavioral intentions are shaped by two cognitive processes: threat appraisal and coping appraisal (Cho 2010;Li 2012;Youn 2009).”
From Bridging risk and retention: risk coping with privacy and hallucination in AI (2026) · cites this paper as Cho 2010
Cho (2010) found that privacy concern was significantly associated with opting out, proactive protection, and use of privacy-enhancing technologies, while self-efficacy primarily influenced adoption of privacy-enhancing tools.
“His findings showed that privacy concern was significantly associated with all three behavior types, while self-efficacy primarily influenced the adoption of privacy-enhancing tools (e.g., cookie deletion).”
From Bridging risk and retention: risk coping with privacy and hallucination in AI (2026) · cites this paper as Cho 2010
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“Studies have identified various privacy-protective strategies and the motivations behind them (Alkire et al. 2019; Boerman et al. 2024; Cho 2010; Youn 2009).”
Influential
- Authors
- Hichang, C.
- Venue
- Journal of Information Privacy and Security
- Publisher
- Informa UK Limited
- Published
- 2010-01
- Volume
- 6
- Issue
- 1
- Pages
- 3-27
- ISSN
- 1553-6548 (ISSN-L)
- 2333-696X
- OpenAlex
- W2326655689
- Cited by
- 44
- References
- 76
- Citations by year
- 2026: 8 · 2025: 3 · 2024: 6 · 2023: 2 · 2022: 3 · 2021: 7 · 2020: 2 · 2019: 3 · 2018: 3 · 2016: 2 · 2015: 3 · 2012: 1
- FWCI
- 2.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Information Privacy and Security (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- online privacy, privacy protection behavior, privacy concerns, risk beliefs, self-efficacy, privacy-enhancing technologies, perceived susceptibility, communication sources, privacy attitudes
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