Adzharuddin, N.A., & Ling, L.H. (2013). Learning management system (LMS) among university students: Does it work. International Journal of e-Business Research, 3(3), 248-252. Al-Damen, T. (2023). Guarantees of individuals’ rights under e-government: A study in Jordanian law Al-Bahith. International Journal of the Legal Profession, 4(1), 1-22. Alkraiji, A., & Ameen, N. (2022). The impact of service quality, trust and satisfaction on young citizen loyalty towards gov-ernment e-services. Information Technology & People, 35(4), 1239-1270.‏ Almajali, M.H., Nasrawin, L., Alqudah, F.T., Althunibat, A.A., Albalawee, N. (2023). Technical Service Error as a Pillar of Administrative Responsibility for Artificial Intelligence (AI) Operations. International Journal of Advances in Soft Com-puting and its Applications, 15(3), 274–287 Al-Onsouri, A. (2016). Electronic administration and the vision of development: Judicial administration as a mod-el. Mediterranean Journal of Legal and Judicial Studies, 2(1), 503-528. Al-Qubailat, H. (2023). Electronic Administration Law, House of Culture and Publishing. Alshammari, S. (2021). Determining the factors that affect the use of virtual classrooms: A modification of the UTAUT Mod-el. Journal of Information Technology Education. Research, 20, 117. Altarawneh, M., & Al-Ghammaz, S. (2023). The Journey of e-learning technology from application to challenges: Evidence from Jordan. 11th International Conference on Information Technology: Cybersecurity Challenges for Sustainable Cities, ICIT-Proceeding, 531-536. Althunibat, A., AlNuhait, H., Almanasra, S., Almajali, M., Aljarrah, E., & Al-Khawaja, H. (2024). Culture and law enforce-ment influence on m-government adoption: An exploratory study. Journal of Infrastructure, Policy and Development, 8(5), 3353. http://dx.doi.org/10.24294/jipd.v8i5.3353 Arnott, B., & Meins, E. (2007). Links among antenatal attachment representations, postnatal mind–mindedness, and infant at-tachment security: A preliminary study of mothers and fathers. Bulletin of the Menninger Clinic, 71(2), 132-149.‏ Baum, C.F. (2008). Stata tip 63: modeling proportions. The Stata Journal, 8(2), 299-303. Bollen, K.A. (2014). Structural Equations with Latent Variables. New York, NY: Wiley. Byrne, B.M. (2013). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Routledge. Celik, I. (2023). Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. Computers in Human Behavior, 138, 107468 Chen, F.F. (2007). Sensitivity of goodness of fit indices to Jack of measurement invariance. Structural Equation Modeling, 14, 464-504. Cheng, Y., & Liu, Y. (2010). The impact of Labor Contract Law’s enforcement on Chinese enterprises’ human resources man-agement—based on the perspective of HR managers. Economic Theory and Business Management, 7, 66-73. Chung, S. (2015). Explaining compliance: a multi-actor framework for understanding labour law compliance in China. Human Relations, 68( 2), 237-260. Cooper, G. (2023). Examining science education in ChatGPT: An exploratory study of generative artificial intelli-gence. Journal of Science Education and Technology, 1-9. Daellenbach, U.S., & Davenport, S.J. (2004). Establishing trust during the formation of technology alliances. The Journal of technology transfer, 29(2), 187-202.‏ Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User acceptance of computer technology: A comparison of two theoreti-cal models. Management Science, 35(8), 982-1003. Elali, F. R., & Rachid, L. N. (2023). AI-generated research paper fabrication and plagiarism in the scientific community. Pat-terns (New York, N.Y.), 4(3), 100706. https://doi.org/10.1016/j.patter.2023.100706 Elmanaseer, S. (2023). Responsibility of public administration in managing its electronic facilities. Al-Zaytoonah University of Jordan Journal for Legal Studies, 4(1), 4-28. Fassi, S & Sabti A. (2024). The impact of using artificial intelligence technology (Chat Gpt) on the academic achievement of university students in the light of the knowledge economy, a field study. Economic Studies, 18(1), 569-585. Fauz, A., Widodo, T., & Djatmiko, T. (2018). Pengaruh Behavioral Intention Terhadap Use Behavior Pada Penggunaan Ap-likasi Transportasi Online (Studi Kasus Pada Pengguna Go-Jek Dan Grab Di Kalangan Mahasiswa Telkom Universi-ty). eProceedings of Management, 5(2). Fayyad, H., & Fayyad, A. (2023). The impact of e-government on the principle of regular and steady functioning of public fa-cilities. Journal of the College of Law for Legal and Political Sciences, 12(45), 10-33. Firaina, R., & Sulisworo, D. (2023). Exploring the usage of ChatGPT in higher education: Frequency and impact on productiv-ity. Buletin Edukasi Indonesia, 2(01), 39-46. Geagea, A., & Ben Senussi, F. (2022). The principle of equality before the electronic public facility. Journal of Law and Hu-man Sciences Magazine, 15(1), 2195-2209. Giaretta, E. (2014). The trust “builders” in the technology transfer relationships: An Italian science park experience. The Jour-nal of Technology Transfer, 39, 675-687.‏ Hair, J.F., Ringle, C.M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. The Journal of Marketing Theory and Prac-tice, 19(2), 139-152. Hassan, H & Al-Adayla, A. (2021). Electronic management of the local public facility: An analytical study in light of the COVID-19 pandemic. [Unpublished Master’s Thesis]. Mutah University, Jordan. Heerink, M., Kröse, B., Evers, V., & Wielinga, B. (2010). Assessing acceptance of assistive social agent technology by older adults: The almere model.‏ International Journal of Social Robotics, 2, 361-375. Henseler, J., Ringle, C.M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based struc-tural equation modeling. Journal of the Academy of Marketing Science, 43, 115-135. https://doi.org/10.1007/s11747-014-0403-8 Hillman, A.J., Withers, M.C., & Collins, B.J. (2009). Resource dependence theory: a review. Journal of Management, 35(6), 404-1427. Ho, V., Le, T., & Nguyen, D. (2024). LIGHTGBM-based machine learning model for stroke risk prediction. International Journal of Advanced Soft Computing Applications, 16(1), 186-196. Http://doi:10.15849/IJASCA.240330.11 Jakkaew, P., & Hemrungrote, S. (2017). The use of UTAUT2 model for understanding student perceptions using Google class-room: A case study of introduction to information technology course. In 2017 International Conference on Digital Arts, Media and Technology (ICDAMT) (pp. 205-209). IEEE. James, G. M. (2002). Generalized linear models with functional predictors. Journal of the Royal Statistical Society Series B: Statistical Methodology, 64(3), 411-432.‏ Jeon, N.J., Na, H., Jung, E.H., Yang, T.Y., Lee, Y.G., Kim, G., ... & Seo, J. (2018). A fluorene-terminated hole-transporting material for highly efficient and stable perovskite solar cells. Nature Energy, 3(8), 682-689.‏ Kamarudin, M.A.I., Kamarruddin, N.N.A., Ramli, A., & Murad, S.M.A. (2023). The challenges and issues faced by the new appointed academic staffs of the university in the emerging market. International Journal of Professional Business Re-view, 8(1), e01158-e01158.‏ Khan, S.A.R., Zia‐ul‐haq, H.M., Umar, M., & Yu, Z. (2021). Digital technology and circular economy practices: An strategy to improve organizational performance. Business Strategy & Development, 4(4), 482-490.‏ Kim, T.K., Hemberg, M., Gray, J.M., Costa, A.M., Bear, D.M., Wu, J., ... & Greenberg, M.E. (2010). Widespread transcription at neuronal activity-regulated enhancers. Nature, 465(7295), 182-187.‏ Maqableh, M., & Alia, M. (2021). Evaluation online learning of undergraduate students under lockdown amidst COVID-19 Pandemic: The online learning experience and students’ satisfaction. Children and Youth Services Review, 128, 106160.‏ Musika, A. (2021). The impact of the application of electronic administration on the activity of the public facility. Algerian Journal of Law and Political Sciences, 6(2), 504-522 Omar, A.O. (2021). The digital transformation of the government and its role in achieving the sustainable development goals: Egypt as a model. Al-Zaytoonah University of Jordan Journal for Legal Studies, 2(3), 154-179. Onisi, L. (2021). Principles governing the electronic public service. Journal of Law and Human Sciences, 14(1), 203-218 Ooi, K.H., Liu, M.M., Tay, J.W.D., Teo, S.Y., Kaewsapsak, P., Jin, S., ... & Tan, M.H. (2021). An engineered CRISPR-Cas12a variant and DNA-RNA hybrid guides enable robust and rapid COVID-19 testing. Nature Communications, 12(1), 1739.‏ Pavlik, J.V. (2023). Collaborating with ChatGPT: Considering the implications of generative artificial intelligence for journal-ism and media education. Journalism & Mass Communication Educator, 10776958221149577. Samsudeen, S.N., & Mohamed, R. (2019). University students’ intention to use e-learning systems: A study of higher educa-tional institutions in Sri Lanka. Interactive Technology and Smart Education, 16(3), 219-238. Sebetci, Ö. (2015). A TAM-based model for e-government: A case for Turkey. International Journal of Electronic Govern-ance, 7(2), 113-135.‏ Shen, S., Xu, K., Sotiriadis, M., & Wang, Y. (2022). Exploring the factors influencing the adoption and usage of augmented reality and virtual reality applications in tourism education within the context of COVID-19 pandemic. Journal of Hospi-tality, Leisure, Sport and Tourism Education, 30, 100373. Shubhendu, S., & Vijay, J. (2013). Applicability of artificial intelligence in different fields of life. International Journal of Scientific Engineering and Research, 1(1), 28-35. Siddiqui, K. (2013). Heuristics for sample size determination in multivariate statistical techniques. World Applied Sciences Journal, 27(2), 285-287. Stockman, C., & Nottingham, E. (2022). Surveillance capitalism in schools: What’s the problem?. Digital Culture & Educa-tion, 14(1), 1-15. Sultana, J. (2020). Determining the factors that affect the uses of mobile cloud learning (MCL) platform blackboard-a modifi-cation of the UTAUT model. Education and Information Technologies, 25(1), 223-238. Tiwari, C.K., Bhat, M.A., Khan, S.T., Subramaniam, R., & Khan, M.A.I. (2024). What drives students toward ChatGPT? An investigation of the factors influencing adoption and usage of ChatGPT. Interactive Technology and Smart Education, 21(3), 333-355. Venkatesh, V., Thong, J.Y., & Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the association for Information Systems, 17(5), 328-376.‏ Wang, P. (2019). On defining artificial intelligence. Journal of Artificial General Intelligence, 10(2), 1-37. Warkentin, M., Sharma, S., Gefen, D., Rose, G.M., & Pavlou, P. (2018). Social identity and trust in internet-based voting adoption. Government Information Quarterly, 35(2), 195-209.‏ Wimmer, M., & Von Bredow, B. (2002, January). A holistic approach for providing security solutions in e-government. In Proceedings of the 35th Annual Hawaii International Conference on System Sciences (pp. 1715-1724). IEEE.‏ Yang, W. (2022). Artificial Intelligence education for young children: Why, what, and how in curriculum design and imple-mentation. Computers and Education: Artificial Intelligence, 3, 100061.