The DOI matches its Crossref record, with a small difference in title or year; 1 of the 1 references it cites were found in a registry or an index.
Generative Artificial Intelligence (ChatGPT & Bard) in Public Administration Research: A Double-Edged Sword for Street-Level Bureaucracy Studies
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In the citing paper
“Notwithstanding this assumption, some authors have argued that in the present day, traditional public sector policy-making, service provision, and governance procedures can be rapidly transformed with the introduction of GenAI technologies (Bright et al., 2024;Salah et al., 2023).”
From Exploring the Challenges of Generative AI on Public Sector Communication in Europe (2025) · cites this paper as Salah et al., 2023
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Citations
Cites
New Public Management Is Dead--Long Live Digital-Era Governance
Dunleavy, P. (2005) · Journal of Public Administration Research and Theory · doi:10.1093/jopart/mui057 · Cited by 2,638 · cited 1×
“Digital Era Governance, a concept introduced by Dunleavy et al. (2006), highlights the role of digital technologies in reshaping public administration and service delivery.”
Background
Research works printed but not linked: 3
- 10.1007/s10676-018-9450-z · DOI · Paper page
- 10.1080/01900692.2021.2001008 · DOI
- Lipsky, M. (2010). Street-level bureaucracy: Dilemmas of the individual in public service. Russell Sage Foundation.
Cited by
Exploring the Challenges of Generative AI on Public Sector Communication in Europe
Lovari, A., & De Rosa, F. (2025) · Media and Communication · doi:10.17645/mac.9644 · Cited by 22
Research on digital discretion—The subjectification of street‐level work in public administration
Johansson, J. (2025) · Review of Policy Research · doi:10.1111/ropr.12637 · Cited by 26
Metadata
- Authors
- Salah, M., Abdelfattah, F., & Al Halbusi, H.
- Affiliations
- Modern College of Business and Science (MCBS)
- Ahmed Bin Mohammed Military College (ABMMC)
- ORCID
- Salah, Mohammed
- Venue
- International Journal of Public Administration
- Publisher
- Informa UK Limited
- Published
- 2023-11-03
- Volume
- 49
- Issue
- 1
- Pages
- 60-66
- ISSN
- 0190-0692
- 1532-4265
- Cited by
- 47
- References
- 1
- Language
- en
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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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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
