Cited by 122E-Government and Public ServicesTechnology Adoption and User BehaviourPrivacy, Security, and Data Protection

The effects of information literacy on trust in government websites: Evidence from an online experiment

Lee, Taejun, Lee, Byung-Kwan, Lee-Geiller, Seulki·2020·International Journal of Information Management

Integrity signals

Registry

Crossref · 10.1016/j.ijinfomgt.2020.102098

Cites

138 of 138 references verified0 citation errors · 0 not checkable

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Authors
Lee, T., Lee, B.-K., & Lee-Geiller, S.
Affiliations
  • Korea Development Institute (KR)
  • Kwangwoon University (KR)
  • Rutgers, The State University of New Jersey (US)
Corresponding author
Lee, Byung-Kwan
Venue
International Journal of Information Management
Publisher
Elsevier BV
Published
2020-06
Volume
52
Pages
102098
ISSN
0268-4012 (ISSN-L)
OpenAlex
W3008176316
Cited by
122
References
138
Citations by year
2026: 7 · 2025: 18 · 2024: 28 · 2023: 18 · 2022: 20 · 2021: 21 · 2020: 10
FWCI
59.55
Type
journal article
Language
en
Open access
closed
Locations
  • International Journal of Information Management (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • KDI Central Archives (Korea Development Institute) (submittedVersion)
Funders
KDI School of Public Policy and Management
Topics
  • Social Sciences › Political Science and International Relations › E-Government and Public Services
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
Keywords
information literacy, e-government adoption, perceived usefulness, digital divide, citizen participation, government websites, 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.

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