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The effects of trust on behavioral intention and use behavior within e-government contexts
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- Zhao, 2018, An empirical study of e-government diffusion in Fiji: A holistic and integrative approach, Public Management Review, 20, 1490, 10.1080/14719037.2017.1400585 · DOI
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Cited by
Determinants of Intention to Use ChatGPT for Educational Purposes: Findings from PLS-SEM and fsQCA
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A multinational study on the factors influencing university students’ attitudes and usage of ChatGPT
Abdaljaleel, M., Barakat, M., Alsanafi, M., Salim, N. A., Abazid, H., Malaeb, D., Mohammed, A. H., Hassan, B. A. R., Wayyes, A. M., Farhan, S. S., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-52549-8 · Cited by 291
Zhu, W., Huang, L., Zhou, X., Li, X., Shi, G., Ying, J., & Wang, C. (2025) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2024.2323277 · Cited by 143
Social media trust: Fighting misinformation in the time of crisis
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Leong, L.-Y., Hew, T.-S., Ooi, K.-B., Metri, B., & Dwivedi, Y. K. (2023) · Information Systems Frontiers · doi:10.1007/s10796-022-10337-7 · Cited by 80
“To perform SEM analysis in the second stage of the MASEM, we needed to pool the effect sizes of all the relationships in TPB (Dwivedi et al., 2019, 2021; Hooda et al., 2022; Tamilmani et al., 2021a).”
MethodSelf-citation
Metadata
- Authors
- Hooda, A., Gupta, P., Jeyaraj, A., Giannakis, M., & Dwivedi, Y. K.
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2022-12
- Volume
- 67
- Pages
- 102553
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W4293479086
- Cited by
- 236
- References
- 16
- FWCI
- 41.33
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
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.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The effects of trust on behavioral intention and use behavior within e-government contexts. https://app.cochat.ai/papers/10.1016/j.ijinfomgt.2022.102553
- The paper
- Hooda, A., Gupta, P., Jeyaraj, A., Giannakis, M., & Dwivedi, Y. K. (2022). The effects of trust on behavioral intention and use behavior within e-government contexts. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2022.102553
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.