The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
The Effect of Online Privacy Information on Purchasing Behavior: An Experimental Study
Abstract
Although online retailers detail their privacy practices in online privacy policies, this information often remains invisible to consumers, who seldom make the effort to read and understand those policies. This paper reports on research undertaken to determine whether a more prominent display of privacy information will cause consumers to incorporate privacy considerations into their online purchasing decisions. We designed an experiment in which a shopping search engine interface clearly and compactly displays privacy policy information. When such information is made available, consumers tend to purchase from online retailers who better protect their privacy. In fact, our study indicates that when privacy information is made more salient and accessible, some consumers are willing to pay a premium to purchase from privacy protective websites. This result suggests that businesses may be able to leverage privacy protection as a selling point.
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Cites
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
The Market for "Lemons": Quality Uncertainty and the Market Mechanism
Akerlof, G. A. (1970) · The Quarterly Journal of Economics · doi:10.2307/1879431 · Cited by 23,016
Kahneman, D., & Tversky, A. (1984) · American Psychologist · doi:10.1037/0003-066x.39.4.341 · Cited by 6,544
What trust means in e-commerce customer relationships: an interdisciplinary conceptual typology
McKnight, D. H., & Chervany, N. L. (2001) · International Journal of Electronic Commerce · doi:10.1080/10864415.2001.11044235 · Cited by 2,282
Imagined Communities: Awareness, Information Sharing, and Privacy on the Facebook
Acquisti, A., & Gross, R. (2006) · Lecture Notes in Computer Science · doi:10.1007/11957454_3 · Cited by 1,895
Self-citationInformation 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
Solove, D. J. (2006) · University of Pennsylvania Law Review · doi:10.2307/40041279 · Cited by 1,388
Privacy and rationality in individual decision making
Acquisti, A., & Grossklags, J. (2005) · IEEE Security and Privacy Magazine · doi:10.1109/msp.2005.22 · Cited by 1,123
Self-citationAn 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
The Value of Privacy Assurance: An Exploratory Field Experiment1
Hui, K.-L., Teo, H. H., & Lee, S.-Y. T. (2007) · MIS Quarterly · doi:10.2307/25148779 · Cited by 614
The mechanics of trust: A framework for research and design
Riegelsberger, J., Sasse, M. A., & McCarthy, J. D. (2005) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2005.01.001 · Cited by 508 · cited 2×
“For instance, consumers often consider trust seals to be a proxy for merchant quality (Riegelsberger et al ., 2005).”
TRUSTe: an online privacy seal program
Benassi, P. (1999) · Communications of the ACM · doi:10.1145/293411.293461 · Cited by 267
Cited by
Privacy and human behavior in the age of information
Acquisti, A., Brandimarte, L., & Loewenstein, G. (2015) · Science · doi:10.1126/science.aaa1465 · Cited by 1,879
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
Kokolakis, S. (2017) · Computers & Security · doi:10.1016/j.cose.2015.07.002 · Cited by 1,229
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
Hilken, T., de Ruyter, K., Chylinski, M., Mahr, D., & Keeling, D. I. (2017) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-017-0541-x · Cited by 693
Metadata
- Authors
- Tsai, J. Y., Egelman, S., Cranor, L., & Acquisti, A.
- Venue
- Information Systems Research
- Published
- 2011-06
- Volume
- 22
- Issue
- 2
- Pages
- 254-268
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W2125475233
- Cited by
- 855
- References
- 12
- FWCI
- 115.82
- Type
- journal article
- Language
- en
- Open access
- closed
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