Dimensions of Privacy Concern among Online Consumers
Abstract
The Federal Trade Commission (FTC) is one of many organizations studying influences on consumer privacy online. The authors investigate these influences, taking into consideration the current body of literature on privacy and the Internet and the FTC's core principles of fair information practice. The authors analyze these influences to assess the underlying factors of privacy concern online. The authors examine the current recommendations and actions of the FTC in light of the results of an e-mail survey of online consumers in the United States that assessed their attitudes toward privacy online. The authors find that the FTC's core principles address many of online consumers’ privacy concerns. However, two factors not directly incorporated in the five principles, the relationships between entities and online users and the exchange of information for appropriate compensation, may influence consumers’ privacy concerns.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Consumers' online privacy concerns are influenced by perceptions of how their personal information is collected and used by organizations.
“Consumers' online privacy concerns are influenced by perceptions of how their personal information is collected and used by organizations (Sheehan & Hoy, 2000).”
From Feeling Watched: A Phenomenological Exploration of Consumer Discomfort and Data Privacy Concerns in E-Commerce Personalized Email Marketing (2025) · cites this paper as Sheehan & Hoy, 2000
Cites
Privacy: Recognition of a Consumer Right
Goodwin, C. (1991) · Journal of Public Policy & Marketing · doi:10.1177/074391569101000111 · Cited by 393 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Pavlou, P. A., Liang, H., & Xue, Y. (2007) · MIS Quarterly · doi:10.2307/25148783 · Cited by 2,646 · see citing works
The role of data privacy in marketing
Martin, K. D., & Murphy, P. E. (2017) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-016-0495-4 · Cited by 902 · see citing works
Bonsón Ponte, E., Carvajal-Trujillo, E., & Escobar-Rodríguez, T. (2015) · Tourism Management · doi:10.1016/j.tourman.2014.10.009 · Cited by 718 · see citing works
Internet Privacy Concerns: An Integrated Conceptualization and Four Empirical Studies1
Hong, W., & Thong, J. Y. L. (2013) · MIS Quarterly · doi:10.25300/misq/2013/37.1.12 · Cited by 540 · see citing works
The Importance of Trust for Personalized Online Advertising
Bleier, A., & Eisenbeiss, M. (2015) · Journal of Retailing · doi:10.1016/j.jretai.2015.04.001 · Cited by 529 · see citing works
YOUN, S. (2009) · Journal of Consumer Affairs · doi:10.1111/j.1745-6606.2009.01146.x · Cited by 449 · see citing works
Consumer Privacy Concerns and Preference for Degree of Regulatory Control
Okazaki, S., Li, H., & Hirose, M. (2009) · Journal of Advertising · doi:10.2753/joa0091-3367380405 · Cited by 297 · see citing works
Milne, G. R., Pettinico, G., Hajjat, F. M., & Markos, E. (2017) · Journal of Consumer Affairs · doi:10.1111/joca.12111 · Cited by 174 · see citing works
Online Privacy and the Disclosure of Cookie Use: Effects on Consumer Trust and Anticipated Patronage
Miyazaki, A. D. (2008) · Journal of Public Policy & Marketing · doi:10.1509/jppm.27.1.19 · Cited by 175 · see citing works
Mosteller, J., & Poddar, A. (2017) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2017.02.003 · Cited by 168 · see citing works
Digital Natives or Digital Immigrants? The Impact of User Characteristics on Online Trust
Hoffmann, C. P., Lutz, C., & Meckel, M. (2014) · Journal of Management Information Systems · doi:10.1080/07421222.2014.995538 · Cited by 121 · see citing works
Proactive vs. reactive personalization: Can customization of privacy enhance user experience?
Zhang, B., & Sundar, S. S. (2019) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2019.03.002 · Cited by 109 · see citing works
Privacy Awareness: A Means to Solve the Privacy Paradox?
Pötzsch, S. (2009) · IFIP Advances in Information and Communication Technology · doi:10.1007/978-3-642-03315-5_17 · Cited by 107 · see citing works
Cross-Cultural Privacy Prediction
Li, Y., Kobsa, A., Knijnenburg, B. P., & Carolyn Nguyen, M.-H. (2017) · Proceedings on Privacy Enhancing Technologies · doi:10.1515/popets-2017-0019 · Cited by 84 · see citing works
Krishen, A. S., Raschke, R. L., Close, A. G., & Kachroo, P. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2016.12.002 · Cited by 64 · see citing works
Hichang, C. (2010) · Journal of Information Privacy and Security · doi:10.1080/15536548.2010.10855879 · Cited by 44 · see citing works
Handling consumer messages on social networking sites: Customer service or privacy infringement?
Demmers, J., van Dolen, W. M., & Weltevreden, J. W. J. (2018) · International Journal of Electronic Commerce · doi:10.1080/10864415.2018.1396110 · Cited by 33 · see citing works
Rahayu, T. A., Purnamasari, V. F. W., Rizky, M. A., Rahyadi, I., & Mani, L. (2025) · PaperASIA · doi:10.59953/paperasia.v41i1b.313 · Cited by 1 · see citing works
“Consumers' online privacy concerns are influenced by perceptions of how their personal information is collected and used by organizations (Sheehan & Hoy, 2000).”
- Authors
- Sheehan, K. B., & Hoy, M. G.
- Affiliations
- University of Oregon (US)
- University of Tennessee at Knoxville (US)
- ORCID
- Hoy, Mariea Grubbs
- Venue
- Journal of Public Policy & Marketing
- Publisher
- SAGE Publications
- Published
- 2000-04
- Volume
- 19
- Issue
- 1
- Pages
- 62-73
- ISSN
- 0743-9156 (ISSN-L)
- 1547-7207
- OpenAlex
- W2036286075
- Cited by
- 607
- References
- 1
- Citations by year
- 2026: 12 · 2025: 15 · 2024: 24 · 2023: 25 · 2022: 29 · 2021: 26 · 2020: 25 · 2019: 24 · 2018: 24 · 2017: 27 · 2016: 37 · 2015: 37 · 2014: 31 · 2013: 25 · 2012: 30
- FWCI
- 34.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Public Policy & Marketing (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Social Sciences › Law › Digitalization, Law, and Regulation
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- online privacy concerns, consumer privacy, Federal Trade Commission, Fair Information Practice Principles, privacy attitudes, online consumers, privacy regulation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review