Cited by 60E-Government and Public ServicesTechnology Adoption and User BehaviourData Mining and Machine Learning Applications

Citizens as consumers: Profiling e-government services’ users in Egypt via data mining techniques

Open access
Mostafa, Mohamed M., El-Masry, Ahmed A.·2013·International Journal of Information Management

Integrity signals

Registry

Crossref · 10.1016/j.ijinfomgt.2013.03.007

Cites

10 of 10 references verified0 citation errors · 0 not checkable

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Claims the paper makes

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • 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.”
  • 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).”

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Authors
Mostafa, M. M., & El-Masry, A. A.
Affiliations
Gulf University for Science & Technology (KW)
Corresponding author
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
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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