Citizens as consumers: Profiling e-government services’ users in Egypt via data mining techniques
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Mostafa and El-Masry (2013) is the first IJIM paper to use AI as a research tool, with various data mining methods used to analyse a survey about e-government in Egypt.
“In a different direction, Mostafa and El-Masry (2013) is the first IJIM paper to use AI as a research tool, with various data mining methods being used to analyse a survey about egovernment in Egypt.”
From Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda (2019) · cites this paper as Mostafa and El-Masry, 2013
Few papers in IJIM address specific applications of ANN, exceptions including Liébana-Cabanillas et al. (2017) and Mostafa and El-Masry (2013).
“Interestingly, few papers in IJIM address specific applications of ANN, exceptions including LiébanaCabanillas, Marinković, and Kalinić (2017); Mostafa and El-Masry (2013).”
From Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda (2019) · cites this paper as Mostafa and El-Masry, 2013
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Perceived usefulness, perceived ease of use, and user acceptance of information technology
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The female sexual function index (FSFI): cross-validation and development of clinical cutoff scores
WIEGEL, M., MESTON, C., & ROSEN, R. (2005) · Journal of Sex & Marital Therapy · doi:10.1080/00926230590475206 · Cited by 2,396 · see citing works
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On risk, convenience, and Internet shopping behavior
Bhatnagar, A., Misra, S., & Rao, H. R. (2000) · Communications of the ACM · doi:10.1145/353360.353371 · Cited by 1,089 · see citing works
Chau, P. Y. K., & Hu, P. J. (2002) · Journal of Management Information Systems · doi:10.1080/07421222.2002.11045699 · Cited by 707 · see citing works
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Technology Adaptation in E-commerce:
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Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.01.021 · Cited by 2,628 · see citing works
Collins, C., Dennehy, D., Conboy, K., & Mikalef, P. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102383 · Cited by 783 · see citing works
- Authors
- Mostafa, M. M., & El-Masry, A. A.
- Affiliations
- Gulf University for Science & Technology (KW)
- Corresponding author
- Mostafa, Mohamed M.
- ORCID
- Mostafa, Mohamed M.
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2013-08
- Volume
- 33
- Issue
- 4
- Pages
- 627-641
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2087829110
- Cited by
- 60
- References
- 10
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 7 · 2023: 2 · 2022: 9 · 2021: 9 · 2020: 3 · 2019: 2 · 2018: 4 · 2017: 2 · 2016: 9 · 2015: 6 · 2014: 5
- FWCI
- 37.18
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- International Journal of Information Management (publishedVersion)
- PEARL (University of Plymouth) (submittedVersion)
- PEARL (University of Plymouth) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- Hrčak Portal of scientific journals of Croatia (University Computing Centre) (submittedVersion, other-oa)
- 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
- Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
- Keywords
- e-government services, user profiling, demographic factors, psychographic factors, perceived usefulness, perceived ease of use, compatibility, subjective norms, trust, civic consciousness, attitudes, artificial neural networks, support vector machine, classification and regression trees, multivariate adaptive regression splines, self-organizing maps
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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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