Cited by 263Technology Adoption and User BehaviourPrivacy, Security, and Data ProtectionHealth, Technology, Consumer Behavior

The Effects of Perceived Enjoyment and Perceived Risks on Trust Formation and Intentions to Use Online Payment Systems: New Perspectives from an Arab Country

Open access
Rouibah, Kamel, Lowry, Paul Benjamin, Hwang, Yujong·2016·Electronic Commerce Research and Applications

Integrity signals

Registry

Crossref · 10.1016/j.elerap.2016.07.001

Cites

11 of 11 references verified0 citation errors · 0 not checkable

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Claims the paper makes

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Cites

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Authors
Rouibah, K., Lowry, P. B., & Hwang, Y.
Affiliations
  • Kuwait University (KW)
  • University of Hong Kong (HK)
  • DePaul University (US)
Corresponding author
Rouibah, Kamel
Venue
Electronic Commerce Research and Applications
Publisher
Elsevier BV
Published
2016-09
Volume
19
Pages
33-43
ISSN
1567-4223 (ISSN-L)
OpenAlex
W2505276455
Cited by
263
References
11
Citations by year
2026: 19 · 2025: 29 · 2024: 36 · 2023: 32 · 2022: 26 · 2021: 44 · 2020: 27 · 2019: 21 · 2018: 16 · 2017: 11 · 2016: 2
FWCI
28.97
Type
journal article
Language
en
Open access
Locations
  • Electronic Commerce Research and Applications (publishedVersion)
  • SSRN Electronic Journal (publishedVersion)
  • The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
Funders
Kuwait University
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
  • Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
Keywords
online payment adoption, perceived enjoyment, risk perception, consumer trust, trust formation, intention to use, personal innovativeness, trust propensity, familiarity, e-commerce trust, Arab consumers, Kuwait

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.

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