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Prediction of accessibility testing using a generalized linear model for e-government

Bibliographic Data

ID22189189
AuthorsAhmad Althunibat (0000-0002-7330-6188, Al-Zaytoonah University of Jordan), Wael Alzyadat (0000-0002-0068-1526, Al-Zaytoonah University of Jordan), Siti Sarah Maidin (0000-0003-0714-2186, INTI International University), Adnan Hnaif, Adnan A Hnaif (0000-0001-8523-4321, Al-Zaytoonah University of Jordan), Basem Alokush (Al-Zaytoonah University of Jordan)
Year2024
Volume8
Issue7
Pages3520
Publication date2024-07-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Infrastructure Policy and Development (JOURNAL)
Journal identifiersISSN: 2572-7923 • E-ISSN: 2572-7931
PublisherEnPress Publisher (PUBLISHER)
DOI10.24294/jipd.v8i7.3520
OpenAlexW4401154232
LanguageEN
References cited7

Using the United Nations’ Online Services Indicator (OSI) as a benchmark, the study analyzes Jordan’s e-government performance trends from 2008 to 2022, revealing temporal variations and areas of discontent. The research incorporates diverse testing strategies, considering technological, organizational, and environmental factors, and aligns with global frameworks emphasizing usability, accessibility, and security. The proposed model unfolds in three stages: data collection, performing data operations, and target selection using the Generalized Linear Model (GLM). Leveraging web crawling techniques, the data collection process extracts structured information from the Jordanian e-government portal. Results demonstrate the model’s efficacy in assessing accessibility and predicting web crawler behavior, providing valuable insights for policymakers and officials. This model serves as a practical tool for the enhancement of e-government services, addressing citizen concerns and improving overall service quality in Jordan and beyond

E-Government · Econometrics · Generalized linear model · Information and Communications Technology · Machine learning · World Wide Web · Computer Science · Digital Accessibility for Disabilities · Evacuation and Crowd Dynamics · Mathematics · Smart Parking Systems Research

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  • Local E‐Government in the United States

    Open Access•Donald F Norris, Christopher G Reddick•Public Administration Review•2012

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Highly citedNo

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