Cited by 901Technology Adoption and User BehaviourCustomer Service Quality and LoyaltyPrivacy, Security, and Data Protection

Effect of trust on customer acceptance of Internet banking

Suh, Bomil, Han, Ingoo·2002·Electronic Commerce Research and Applications

Integrity signals

Registry

Crossref · 10.1016/s1567-4223(02)00017-0

Cites

8 of 8 references verified0 citation errors · 0 not checkable

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  • Trust is one of the most significant factors influencing consumers' decisions to adopt new technologies, particularly e-banking.

    “Trust is widely regarded as one of the most significant factors influencing consumers' decisions to adopt new technologies, particularly in the domain of e-banking (Suh & Han, 2002).”

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Authors
Suh, B., & Han, I.
Affiliations
Korea Advanced Institute of Science and Technology (KR)
Corresponding author
Suh, Bomil
Venue
Electronic Commerce Research and Applications
Publisher
Elsevier BV
Published
2002-09
Volume
1
Issue
3-4
Pages
247-263
ISSN
1567-4223 (ISSN-L)
OpenAlex
W1982320306
Cited by
901
References
8
Citations by year
2026: 11 · 2025: 31 · 2024: 37 · 2023: 45 · 2022: 40 · 2021: 61 · 2020: 51 · 2019: 47 · 2018: 36 · 2017: 35 · 2016: 39 · 2015: 69 · 2014: 62 · 2013: 69 · 2012: 51
FWCI
17.67
Type
journal article
Language
en
Open access
closed
Locations
Electronic Commerce Research and Applications (publishedVersion)
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
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
Keywords
trust, internet banking, technology acceptance, perceived ease of use, perceived usefulness, user behavior, online banking 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.

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