Predicting e-services adoption: A perceived risk facets perspective
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Empirical research has found a negative linkage between perceived risk and user satisfaction.
“Lots of empirical research has found the negative linkage between perceived risk and user satisfaction [64,66,98].”
From Investigating the Impact of Critical Factors on Continuance Intention towards Cross-Border Shopping Websites (2019) · cites this paper as [66]
Higher perceived social risks related to a product or service may reduce users' willingness to recommend it, particularly under peer influence.
“Featherman and Pavlou (2003) argued that higher perceived social risks related to a product or service may reduce users’ willingness to recommend it, particularly under peer influence.”
From A two-step structural equation modeling and explainable machine learning framework for understanding university students’ adoption of generative AI: balancing intrinsic motivations and perceived risks (2026) · cites this paper as Featherman and Pavlou, 2003
Perceived risk mediates the relationship between ease of use and adoption behavior.
“Similarly, PR mediates the relationship between ease of use and adoption behavior by influencing users' cognitive evaluation of technology benefits versus potential threats [41].”
From From Perception to Practice: Artificial Intelligence as a Pathway to Enhancing Digital Literacy in Higher Education Teaching (2025) · cites this paper as [41]
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- Authors
- Featherman, M. S., & Pavlou, P. A.
- Affiliations
- Washington State University (US)
- University of Southern California (US)
- Corresponding author
- Featherman, Mauricio S.
- Venue
- International Journal of Human-Computer Studies
- Publisher
- Elsevier BV
- Published
- 2003-10
- Volume
- 59
- Issue
- 4
- Pages
- 451-474
- ISSN
- 1071-5819 (ISSN-L)
- OpenAlex
- W2162739331
- Semantic Scholar
- 1741947f385ae50bbb50c879655ada49a45860ba
- Cited by
- 3,351
- References
- 45
- Citations by year
- 2026: 359 · 2025: 296 · 2024: 275 · 2023: 273 · 2022: 271 · 2021: 266 · 2020: 225 · 2019: 194 · 2018: 156 · 2017: 118 · 2016: 129 · 2015: 142 · 2014: 111 · 2013: 107 · 2012: 89
- FWCI
- 32.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Human-Computer Studies (publishedVersion)
- Journal of the Association for Information Systems (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Keywords
- e-service adoption, risk perception, technology acceptance model, perceived ease of use, consumer technology adoption
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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 ›
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