Cited by 142E-Government and Public ServicesSmart Cities and TechnologiesTechnology Adoption and User Behaviour

Artificial intelligence in local government services: Public perceptions from Australia and Hong Kong

Open access
Yigitcanlar, Tan, Li, Rita Yi Man, Beeramoole, Prithvi Bhat, Paz, Alexander·2023·Government Information Quarterly

Integrity signals

Registry

Crossref · 10.1016/j.giq.2023.101833

Cites

103 of 103 references verified0 citation errors · 0 not checkable

Statistics

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Claims the paper makes

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Cites

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2 of the 105 references couldn’t be matched to a known paper.

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Authors
Yigitcanlar, T., Li, R. Y. M., Beeramoole, P. B., & Paz, A.
Affiliations
  • Hong Kong Shue Yan University (CN)
  • Queensland University of Technology (AU)
Venue
Government Information Quarterly
Publisher
Elsevier BV
Published
2023-06
Volume
40
Issue
3
Pages
101833
ISSN
0740-624X (ISSN-L)
OpenAlex
W4376135829
Cited by
142
References
105
Citations by year
2026: 27 · 2025: 65 · 2024: 35 · 2023: 15
FWCI
139.60
Type
journal article
Language
en
Open access
Locations
  • Government Information Quarterly (publishedVersion)
  • QUT ePrints (Queensland University of Technology) (submittedVersion, cc-by-nc-nd)
Funders
Australian Research Council (DP220101255)
Topics
  • Social Sciences › Political Science and International Relations › E-Government and Public Services
  • Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Keywords
artificial intelligence, public perception of AI, municipal services, perceived usefulness of AI, ease of use, resource management, public safety, environmental crisis management, AI policy, Australia, Hong Kong

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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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