How did they get my name?: an exploratory investigation of consumer attitudes toward secondary information use
Abstract
Strategic uses of information technology based on personal information may raise privacy concerns among consumers if these applications do not reflect a common set of values. This study addresses what differentiates consumers who object to certain uses of personal information from those who do not object. Data collected by questionnaire from young consumers are used to identify a research approach for investigating attitudes toward the secondary use of personal information for direct marketing. Secondary information use occurs when personal information collected for one purpose is subsequently used for a different purpose. While secondary information use is both widespread and legal, it may be viewed as an invasion of privacy when it occurs without the knowledge or consent of the consumer. The setting for the study is the use of point-of-sale data from a supermarket frequent shopper program to generate direct mail solicitations. Control emerges as a clear theme in differentiating individuals with positive overall attitudes toward secondary information use from those with negative attitudes. Study participants with positive attitudes are less concerned about privacy (measured as control over personal information), perceive shopping by mail as beneficial, and have coping strategies for dealing with unwanted mail. The results also suggest that theory related to categorization of strategic issues as positive-negative with outcomes that are controllable/uncontrollable provides a b…
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?
In the context of smartphones, the degree of privacy concerns can vary according to the function served by the app and the type of data managed.
“In the context of smartphones, the degree of privacy concerns can vary, for example, according to the function served by the app and the type of data managed (e.g., Culnan, 1993).”
From The privacy and control paradoxes in the context of smartphone apps (2022) · cites this paper as Culnan, 1993
These results are consistent with previous research indicating that certain dimensions of privacy concerns are affected by context (in this case, the type of app) as well as the type of data managed.
“Together, these results are consistent with previous research indicating that certain dimensions of privacy concerns are affected by context (in this case, the type of app) as well as the type of data managed (e.g., Culnan, 1993;Anic et al., 2019).”
From The privacy and control paradoxes in the context of smartphone apps (2022) · cites this paper as Culnan, 1993
Cites
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
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
An Extended Privacy Calculus Model for E-Commerce Transactions
Dinev, T., & Hart, P. (2006) · Information Systems Research · doi:10.1287/isre.1060.0080 · Cited by 2,640 · 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
Self-citationPrivacy in the Digital Age: a Review of Information Privacy Research in Information Systems1
Bélanger, F., & Crossler, R. E. (2011) · MIS Quarterly · doi:10.2307/41409971 · Cited by 1,339 · see citing works
Awad, N. F., & Krishnan, M. S. (2006) · MIS Quarterly · doi:10.2307/25148715 · Cited by 1,252 · see citing works
An Empirical Examination of the Concern for Information Privacy Instrument
Stewart, K. A., & Segars, A. H. (2002) · Information Systems Research · doi:10.1287/isre.13.1.36.97 · Cited by 734 · see citing works
Avoidance of Information Technology Threats: A Theoretical Perspective1
Liang, H., & Xue, Y. (2009) · MIS Quarterly · doi:10.2307/20650279 · Cited by 733 · see citing works
The theory of planned behavior and Internet purchasing
George, J. F. (2004) · Internet Research · doi:10.1108/10662240410542634 · Cited by 694 · 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
Values, personal information privacy, and regulatory approaches
Milberg, S. J., Burke, S. J., Smith, H. J., & Kallman, E. A. (1995) · Communications of the ACM · doi:10.1145/219663.219683 · Cited by 343 · see citing works
Disclosure Antecedents in an Online Service Context: The Role of Sensitivity of Information
Mothersbaugh, D. L., Foxx, W. K., Beatty, S. E., & Wang, S. (2012) · Journal of Service Research · doi:10.1177/1094670511424924 · Cited by 257 · see citing works
Toward a Framework for Assessing Covert Marketing Practices
Milne, G. R., Bahl, S., & Rohm, A. (2008) · Journal of Public Policy & Marketing · doi:10.1509/jppm.27.1.57 · Cited by 69 · see citing works
The perceived surveillance of conversations through smart devices
Frick, N. R. J., Wilms, K. L., Brachten, F., Hetjens, T., Stieglitz, S., & Ross, B. (2021) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2021.101046 · Cited by 48 · see citing works
van Velsen, L., van der Geest, T., van de Wijngaert, L., van den Berg, S., & Steehouder, M. (2015) · Journal of Organizational Computing and Electronic Commerce · doi:10.1080/10919392.2015.990782 · Cited by 32 · see citing works
The privacy and control paradoxes in the context of smartphone apps
Ayres-Pereira, V., Pirrone, A., Korbmacher, M., Tjostheim, I., & Böhm, G. (2022) · Frontiers in Computer Science · doi:10.3389/fcomp.2022.986138 · Cited by 4 · see citing works
“Together, these results are consistent with previous research indicating that certain dimensions of privacy concerns are affected by context (in this case, the type of app) as well as the type of data managed (e.g., Culnan, 1993; Anic et al., 2019).”
BackgroundResult
- Authors
- Culnan, M. J.
- Affiliations
- Georgetown University (US)
- Corresponding author
- Culnan, Mary J.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 1993-09-01
- Volume
- 17
- Issue
- 3
- Pages
- 341-363
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W1538573233
- Cited by
- 618
- References
- 1
- Citations by year
- 2026: 7 · 2025: 5 · 2024: 2 · 2023: 13 · 2022: 15 · 2021: 25 · 2020: 23 · 2019: 25 · 2018: 29 · 2017: 19 · 2016: 27 · 2015: 37 · 2014: 36 · 2013: 28 · 2012: 29
- FWCI
- 37.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- MIS Quarterly (publishedVersion)
- Journal of the Association for Information Systems (submittedVersion)
- 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 › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- data privacy, consumer attitudes, direct marketing, point-of-sale data, direct mail solicitation, young consumers, informed consent, privacy concerns
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