Perceived security and World Wide Web purchase intention
Abstract
While Web‐based consumer activity is poised on the brink of dramatic growth, concerns about security have the potential to limit this growth by arousing shopper’s concerns about the Web‐based channel. One key aspect to consumer participation in Web commerce may be the extent to which they perceive risk to their sensitive information. This study describes the creation of a scale to measure perceived Web security. We apply the scale in a causal model to investigate the relative impact of beliefs about Web shopping on intent to purchase products using the World Wide Web. Data from two samples is used to develop the scale and to perform the causal analysis. Our findings indicate the favorable psychometric properties of the scale, and the causal analysis from our sample indicates that security is a greater influence on intent to purchase using the Web than is the ease and utility of purchasing products.
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?
System security exerts a relatively small but significant effect on intention to choose an online channel.
“this variable exerts a relatively small effect, albeit significant, on intention.”
From Drivers of Consumer Adoption of e-Commerce: a Meta-Analysis (2022) · cites this paper as Salisbury et al., 2001
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524 · see citing works
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163 · see citing works
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266 · see citing works
From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057 · see citing works
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150 · 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
Understanding the attitude and intention to use smartphone chatbots for shopping
Kasilingam, D. L. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101280 · Cited by 636 · see citing works
Ling, K. C., Chai, L. T., & Piew, T. H. (2010) · International Business Research · doi:10.5539/ibr.v3n3p63 · Cited by 569 · see citing works
Sullivan, Y. W., & Kim, D. J. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.12.008 · Cited by 443 · see citing works
Strangers on a Plane: Context-Dependent Willingness to Divulge Sensitive Information
John, L. K., Acquisti, A., & Loewenstein, G. (2011) · Journal of Consumer Research · doi:10.1086/656423 · Cited by 414 · see citing works
University of Massachusetts Amherst, Wells, J., Parboteeah, V., Eastern New Mexico University, Valacich, J., & Washington State University (2011) · Journal of the Association for Information Systems · doi:10.17705/1jais.00254 · Cited by 398 · see citing works
Using T-O-E theoretical framework to study the adoption of ERP solution
Awa, H. O., Ukoha, O., & Emecheta, B. C. (2016) · Cogent Business & Management · doi:10.1080/23311975.2016.1196571 · Cited by 272 · see citing works
Jariyapan, P., Mattayaphutron, S., Gillani, S. N., & Shafique, O. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.814087 · Cited by 102 · see citing works
Mousavizadeh, M., Kim, D. J., & Chen, R. (2016) · Decision Support Systems · doi:10.1016/j.dss.2016.09.011 · Cited by 95 · see citing works
Drivers of Consumer Adoption of e-Commerce: a Meta-Analysis
Zerbini, C., Bijmolt, T. H. A., Maestripieri, S., & Luceri, B. (2022) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2022.04.003 · Cited by 68 · see citing works
Wang, L., Wang, Z., Wang, X., & Zhao, Y. (2021) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2021.101080 · Cited by 63 · see citing works
Hsu, L.-L., Chen, S.-J., Chiu, M.-C., & Chen, J. C. H. (2015) · Human Systems Management · doi:10.3233/hsm-140827 · Cited by 7 · see citing works
- Authors
- Salisbury, W. D., Pearson, R. A., Pearson, A. W., & Miller, D. W.
- Affiliations
- Ohio University (US)
- Mississippi State University (US)
- Venue
- Industrial Management & Data Systems
- Publisher
- Emerald
- Published
- 2001-06-01
- Volume
- 101
- Issue
- 4
- Pages
- 165-177
- ISSN
- 0263-5577 (ISSN-L)
- OpenAlex
- W2023667477
- Cited by
- 685
- References
- 6
- Citations by year
- 2026: 16 · 2025: 24 · 2024: 39 · 2023: 49 · 2022: 52 · 2021: 45 · 2020: 34 · 2019: 42 · 2018: 35 · 2017: 33 · 2016: 38 · 2015: 25 · 2014: 38 · 2013: 28 · 2012: 22
- FWCI
- 16.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Industrial Management & Data Systems (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Keywords
- perceived security, online purchase intention, e-commerce, information security, scale development, consumer risk perception, perceived ease of use, perceived usefulness, causal models
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
