e-government; predict; accessibility; generalized linear model; accuracy; sustainable growth

Abdallah, M., Hammad, A., & AlZyadat, W. (2022). Towards a Data Collection Quality Model for Big Data Applications. Lecture Notes in Business Information Processing, 103–108. https://doi.org/10.1007/978-3-031-04216-4_11 Angelo, L., Nicola, M., Gabriele, C., & Alessandro, M. (2022). e-government in Europe. A Machine Learning Approach. Available online: https://mpra.ub.uni-muenchen.de/112242/ (accessed on 17 July 2022). Abuaddous, H. Y. (2019). The Accessibility Diagnosis on Jordan E-Government Website. International Journal of Science and Applied Information Technology, 8(6), 45–48. https://doi.org/10.30534/ijsait/2019/05862019 Alexopoulos, C., Lachana, Z., Androutsopoulou, A., et al. (2019). How Machine Learning is Changing e-government. In: Proceedings of the 12th International Conference on Theory and Practice of Electronic Governance. https://doi.org/10.1145/3326365.3326412 Alhroob, A., Alzyadat, W., Tareq Imam, A., & M. Jaradat, G. (2020). The Genetic Algorithm and Binary Search Technique in the Program Path Coverage for Improving Software Testing Using Big Data. Intelligent Automation & Soft Computing, 26(4), 725–733. https://doi.org/10.32604/iasc.2020.010106 Alhroob, A., Alzyadat, W., Almukahel, I., & Altarawneh, H. (2020). Missing Data Prediction using Correlation Genetic Algorithm and SVM Approach. International Journal of Advanced Computer Science and Applications, 11(2). https://doi.org/10.14569/ijacsa.2020.0110288 Alhroob, A. M., Alzyadat, W. J., Almukahel, I. H., & Jaradat, G. M. (2020). Adaptive Fuzzy Map Approach for Accruing Velocity of Big Data Relies on Fireflies Algorithm for Decentralized Decision Making. IEEE Access, 8, 21401–21410. https://doi.org/10.1109/access.2020.2969204 Al-Mushayt, O. S. (2019). Automating E-Government Services With Artificial Intelligence. IEEE Access, 7, 146821–146829. https://doi.org/10.1109/access.2019.2946204 AL-Naimat, A. M. (2013). The Critical Success Factors for E-Government Implementation in Jordan. In: Proceedings of the 4th International Conference on Computing and Informatics, ICOCI 2013; Sarawak, Malaysia. pp. 391–398. Al Olama, O. S. (2018). UAE National Strategy for Artificial Intelligence 2031. Available online: https://ai.gov.ae/wp-content/uploads/2021/07/UAE-National-Strategy-for-Artificial-Intelligence-2031.pdf (accessed on 12 December 2023). Althunibat, A., Abdallah, M., Amin Almaiah, M., et al. (2022). An Acceptance Model of Using Mobile-government Services (AMGS). Computer Modeling in Engineering & Sciences, 131(2), 865–880. https://doi.org/10.32604/cmes.2022.019075 Althunibat, A., Alrawashdeh, T. A., & Muhairat, M. (2014). The Acceptance of Using M-government Services in Jordan. In: Proceedings of the 2014 11th International Conference on Information Technology: New Generations. https://doi.org/10.1109/itng.2014.65 Althunibat, A., Binsawad, M., Almaiah, M. A., et al. (2021). Sustainable Applications of Smart-Government Services: A Model to Understand Smart-Government Adoption. Sustainability, 13(6), 3028. https://doi.org/10.3390/su13063028 Althunibat, A., AlNuhait, H., Almanasra, S., et al. (2024). Culture and law enforcement influence on m-government adoption: An exploratory study. Journal of Infrastructure, Policy and Development, 8(5), 3353. Althunibat, A., Alokush, B., Tarabieh, S. M., & Dawood, R. (2021). Mobile Government and Digital Economy Relationship and Challenges. International Journal of Advances in Soft Computing & Its Applications, 13(1). Al Thunibat, A., Zin, N. A. M., & Sahari, N. (2011). Mobile government user requirements model. Journal of E-governance, 34(2), 104–111. Almarashde, I., Althunibat, A., & Fazidah El, N. (2014). Developing a Mobile Portal Prototype for E-government Services. Journal of Applied Sciences, 14(8), 791–797. Alrawashdeh, T., ElQirem, F., Althunibat, A., & Alsoub, R. (2021). A prioritization approach for regression test cases based on a revised genetic algorithm. Information Technology and Control, 50(3), 443–457. Alrawashed, T. A., Almomani, A., Althunibat, A., & Tamimi, A. (2019). An automated approach to generate test cases from use case description model. Computer Modeling in Engineering & Sciences, 119(3), 409–425. Almaiah, M., Al-Khasawneh, A., Althunibat, A., & Khawatreh, S. (2020). Mobile government adoption model based on combining GAM and UTAUT to explain factors according to adoption of mobile government services. International Journal of Interactive Mobile Technologies (iJIM), 14(03), 199–225. https://doi.org/10.3991/ijim.v14i03.11264 Alzyadat, W., Muhairat, M., Alhroob, A., & Rawashdeh, T. (2022). A Recruitment Big Data Approach to interplay of the Target Drugs. International Journal of Advances in Soft Computing and Its Applications, 14(1), 02–13. https://doi.org/10.15849/zujijasaca.220328.01 Assiri, H., Nanda, P., & Mohanty, M. (2021). A novel e-government Framework using Blockchain. Journal of Information Assurance & Cybersecurity, 1–14. https://doi.org/10.5171/2021.164568 Awwad, M. S., & Omoush, K. S. A. (2012). Governance of information technology-business relationship quality and performance outcomes. Electronic Government, an International Journal, 9(4), 350. https://doi.org/10.1504/eg.2012.049724 Bigdeli, A. Z., & de Cesare, S. (2011). Barriers to e-government Service Delivery in Developing Countries: The Case of Iran. Emerging Themes in Information Systems and Organization Studies, 307–320. https://doi.org/10.1007/978-3-7908-2739-2_24 Cabrera-Moya, D. R. R., Vasudevan, H., & Prieto-Rodriguez, G. (2023). Kash training models: increasing levels of commitment and organizational effectiveness. Business: Theory and Practice, 24(1), 239–249. https://doi.org/10.3846/btp.2023.17480 Charalabidis, Y., Lampathaki, F., Sarantis, D., et al. (2008). The Greek Electronic Government Interoperability Framework: Standards and Infrastructures for One-Stop Service Provision. In: Proceedings of the 2008 Panhellenic Conference on Informatics. https://doi.org/10.1109/pci.2008.37 Falco, E., Kleinhans, R. (2018). Beyond Information Sharing. A Typology of Government Challenges and Requirements for Two-Way Social Media Communication with Citizen. The Electronic Journal of e-government, 19(1), 32–45. Forum, J. S. (2019). E-Government in Jordan a Guide for Policy Maker, 2019. Available online: https://jsf.org/sites/default/files/EN%20E-Government%20Report%20.pdf (accessed on 7 October 2022). Fragkou, P., Galiotou, E., & Matsakas, M. (2014). Enriching the e-GIF Ontology for an Improved Application of Linking Data Technologies to Greek Open Government Data. Procedia—Social and Behavioral Sciences, 147, 167–174. https://doi.org/10.1016/j.sbspro.2014.07.141 Guberović, E., Alexopoulos, C., Bosnić, I., & Čavrak, I. (2022). Framework for Federated Learning Open Models in e-government Applications. Interdisciplinary Description of Complex Systems, 20(2), 162–178. https://doi.org/10.7906/indecs.20.2.8 Ismailova, R. (2015). Web site accessibility, usability and security: a survey of government web sites in Kyrgyz Republic. Universal Access in the Information Society, 16(1), 257–264. https://doi.org/10.1007/s10209-015-0446-8 Leogrande, A., Magaletti, N., Cosoli, G., & Massaro, A. (2022). E-Government in Europe. A Machine Learning Approach. Preprints, 2022, 2022020359. https://doi.org/10.20944/preprints202202.0359.v1 Linders, D., Liao, C. Z. P., & Wang, C. M. (2018). Proactive e-Governance: Flipping the service delivery model from pull to push in Taiwan. Government Information Quarterly, 35(4), S68–S76. https://doi.org/10.1016/j.giq.2015.08.004 Manoharan, A. P., & Ingrams, A. (2018). Conceptualizing E-Government from Local Government Perspectives. State and Local Government Review, 50(1), 56–66. https://doi.org/10.1177/0160323x18763964 Meiyanti, R., Utomo, B., Sensuse, D. I., & Wahyuni, R. (2018). e-government Challenges in Developing Countries: A Literature Review. In: Proceedings of the 2018 6th International Conference on Cyber and IT Service Management (CITSM). https://doi.org/10.1109/citsm.2018.8674245 Ministry of Digital Economy and Entrepreneurship, Amman (2019). Available online: https://www.modee.gov.jo/ebv4.0/root_storage/ar/eb_list_page/gws_2019-modee-v16_0-en.pdf (accessed on 25 May 2022). Mujali Al-rawahna, A. S., Chen, S. C., & Hung, C. W. (2018). The Barriers of E-Government Success : An Empirical Study from Jordan. International Journal of Managing Public Sector Information and Communication Technologies, 9(2), 01–18. https://doi.org/10.5121/ijmpict.2018.9201 Norris, D. F., & Reddick, C. G. (2012). Local E‐Government in the United States: Transformation or Incremental Change? Public Administration Review, 73(1), 165–175. https://doi.org/10.1111/j.1540-6210.2012.02647.x Osman, I. H., Anouze, A. L., Irani, Z., et al. (2014). COBRA framework to evaluate e-government services: A citizen-centric perspective. Government Information Quarterly, 31(2), 243–256. https://doi.org/10.1016/j.giq.2013.10.009 Robles, G., Gamalielsson, J., & Lundell, B. (2019). Setting Up Government 3.0 Solutions Based on Open Source Software: The Case of X-Road. Electronic Government, 69–81. https://doi.org/10.1007/978-3-030-27325-5_6 Twizeyimana, J. D., & Andersson, A. (2019). The public value of E-Government—A literature review. Government Information Quarterly, 36(2), 167–178. https://doi.org/10.1016/j.giq.2019.01.001 Zhang, H., Xu, X., & Xiao, J. (2014). Diffusion of e-government: A literature review and directions for future directions. Government Information Quarterly, 31(4), 631–636. https://doi.org/10.1016/j.giq.2013.10.013 Zuniga, F., Kozubowski, T. J., & Panorska, A. K. (2021). A generalized linear model for multivariate events. Journal of Computational and Applied Mathematics, 398, 113655. https://doi.org/10.1016/j.cam.2021.11365