Consumer privacy and the future of data-based innovation and marketing
Open accessIntegrity 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?
Trust is important in shaping users' performance expectations.
“which further highlights its importance in shaping users' performance expectations [63,67].”
Cites
Toward a New Conception of the Environment-Competitiveness Relationship
Porter, M. E., & Linde, C. V. D. (1995) · Journal of Economic Perspectives · doi:10.1257/jep.9.4.97 · Cited by 13,365 · see citing works
Goldfarb, A., & Tucker, C. (2019) · Journal of Economic Literature · doi:10.1257/jel.20171452 · Cited by 2,744 · see citing works
Self-citationPrivacy in Context: Technology, Policy, and the Integrity of Social Life
Nissenbaum, H. (2009) · doi:10.1515/9780804772891 · Cited by 2,129 · cited 1× · see citing works
“…an information privacy theory based on “contextual integrity” which states that a “right to privacy is neither a right to secrecy nor a right to control but a right to appropriate 4 Electronic copy available at: https://ssrn.com/abstract=3570156 flow of personal information” (Nissenbaum, 2010).”
Moorman, C., Zaltman, G., & Deshpande, R. (1992) · Journal of Marketing Research · doi:10.1177/002224379202900303 · Cited by 1,901 · see citing works
Information Privacy Concerns, Procedural Fairness, and Impersonal Trust: An Empirical Investigation
Culnan, M. J., & Armstrong, P. K. (1999) · Organization Science · doi:10.1287/orsc.10.1.104 · Cited by 1,870 · 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 · cited 2× · see citing works
“Correspondingly, Martin and Murphy (2017) develop a set of best practices for firms to gain a competitive edge through good privacy practices.”
Aguirre, E., Mahr, D., Grewal, D., de Ruyter, K., & Wetzels, M. (2015) · Journal of Retailing · doi:10.1016/j.jretai.2014.09.005 · Cited by 868 · cited 1× · see citing works
“In line with this notion, Aguirre et al. (2015) find that, compared to overtly-collected consumer information, using covertly-collected data for ad personalization heightens consumers’ perceived vulnerability.”
Social Networks, Personalized Advertising, and Privacy Controls
Tucker, C. E. (2014) · Journal of Marketing Research · doi:10.1509/jmr.10.0355 · Cited by 829 · see citing works
Self-citationWang, Y., & Kosinski, M. (2018) · Journal of Personality and Social Psychology · doi:10.1037/pspa0000098 · Cited by 766 · cited 1× · see citing works
“…Acquisti and Gross (2009) showed that public data can predict social security numbers, Crandall et al. (2010) showed that hidden social connections can be inferred from public social media, and Wang and Kosinski (2018) claimed to be able to identify sexual orientation from Facebook profile pictures.”
Consumer and Object Experience in the Internet of Things: An Assemblage Theory Approach
Hoffman, D. L., & Novak, T. P. (2018) · Journal of Consumer Research · doi:10.1093/jcr/ucx105 · Cited by 668 · cited 1× · see citing works
“As more products are equipped with sensors that track location, usage, condition, and other information, marketers can offer new products and features that seem to deliver higher quality (Hoffman and Novak, 2018; Porter and Heppelmann, 2014).”
PURSUING STRATEGIC ADVANTAGE THROUGH POLITICAL MEANS: A MULTIVARIATE APPROACH.
Schuler, D. A., Rehbein, K., & Cramer, R. D. (2002) · Academy of Management Journal · doi:10.2307/3069303 · Cited by 625 · 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
Self-citationPrivacy: Recognition of a Consumer Right
Goodwin, C. (1991) · Journal of Public Policy & Marketing · doi:10.1177/074391569101000111 · Cited by 393 · see citing works
Stone, E. F., Gueutal, H. G., Gardner, D. G., & McClure, S. (1983) · Journal of Applied Psychology · doi:10.1037/0021-9010.68.3.459 · Cited by 387 · see citing works
Consumer online privacy: Legal and ethical issues
Caudill, E. M., & Murphy, P. E. (2000) · Journal of Public Policy & Marketing · doi:10.1509/jppm.19.1.7.16951 · Cited by 382 · see citing works
The Customer Economics of Internet Privacy
Rust, R. T., Kannan, P. K., & Peng, N. (2002) · Journal of the Academy of Marketing Science · doi:10.1177/009207002236917 · Cited by 246 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Bouschery, S. G., Blazevic, V., & Piller, F. T. (2023) · Journal of Product Innovation Management · doi:10.1111/jpim.12656 · Cited by 444 · see citing works
Corporate digital responsibility in service firms and their ecosystems
Wirtz, J., Kunz, W. H., Hartley, N., & Tarbit, J. (2023) · Journal of Service Research · doi:10.1177/10946705221130467 · Cited by 291 · see citing works
Dahmani, M., & Ben Youssef, A. (2023) · Platforms · doi:10.3390/platforms1010005 · Cited by 15 · see citing works
“The privacy paradox, which refers to the discrepancy between consumers’ expressed privacy concerns and their digital behavior, highlights the trade-off between privacy and innovation [67,69].”
BackgroundResult
- Authors
- Bleier, A., Goldfarb, A., & Tucker, C.
- Affiliations
- Frankfurt School of Finance & Management (DE)
- Massachusetts Institute of Technology (US)
- Venue
- International Journal of Research in Marketing
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 37
- Issue
- 3
- Pages
- 466-480
- ISSN
- 0167-8116 (ISSN-L)
- OpenAlex
- W3124994188
- Cited by
- 239
- References
- 16
- Citations by year
- 2026: 34 · 2025: 44 · 2024: 32 · 2023: 54 · 2022: 38 · 2021: 31 · 2020: 4 · 2019: 1 · 2017: 1
- FWCI
- 42.38
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- International Journal of Research in Marketing (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- TSpace (University of Toronto) (submittedVersion, cc-by-nc-nd)
- RePEc: Research Papers in Economics (submittedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-nd)
- Funders
- Social Sciences and Humanities Research Council of Canada
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Keywords
- consumer privacy, data-driven marketing, contextual integrity, privacy concerns, small entrepreneurial firms, incumbent firms, competitive advantage, personal data
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