How to cite this paper
Awadhi, K., Obeidat, B & Alshurideh, M. (2022). Measuring user acceptance of satellite broadband in the UAE.International Journal of Data and Network Science, 6(4), 1459-1470.
Refrences
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Akour, I., Alshurideh, M., Al Kurdi, B., Al Ali, A., & Salloum, S. (2021). Using machine learning algorithms to predict people’s intention to use mobile learning platforms during the COVID-19 pandemic: machine learning approach. JMIR Medical Education, 7(1), e24032.
Alalwan, A. A., Baabdullah, A. M., Rana, N. P., Tamilmani, K., & Dwivedi, Y. K. (2018). Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust. Technology in Society, 55, 100–110. https://doi.org/10.1016/j.techsoc.2018.06.007
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Al Kurdi, B., Alshurideh, M., Salloum, S., Obeidat, Z., & Al-dweeri, R. (2020a). An empirical investigation into examina-tion of factors influencing university students’ behavior towards elearning acceptance using SEM approach. Interna-tional Journal of Interactive Mobile Technologies, 14(2), 19-41.
Al Kurdi, B., Alshurideh, M., & Salloum, S. A. (2020b). Investigating a theoretical framework for e-learning technology acceptance. International Journal of Electrical and Computer Engineering (IJECE), 10(6), 6484-6496.
Alshurideh, M., Salloum, S. A., Al Kurdi, B., Monem, A. A., & Shaalan, K. (2019a). Understanding the quality determi-nants that influence the intention to use the mobile learning platforms: A practical study. International Journal of In-teractive Mobile Technologies, 13(11), 183-157.
Alshurideh, M., Al Kurdi, B., & Salloum, S. A. (2019b). Examining the main mobile learning system drivers’ effects: A mix empirical examination of both the Expectation-Confirmation Model (ECM) and the Technology Acceptance Mod-el (TAM). In International Conference on Advanced Intelligent Systems and Informatics (pp. 406-417). Springer, Cham.
Alshurideh, M., Salloum, S. A., Al Kurdi, B., & Al-Emran, M. (2019c). Factors affecting the social networks acceptance: an empirical study using PLS-SEM approach. In Proceedings of the 2019 8th International Conference on Software and Computer Applications (pp. 414-418).
Alshurideh, M., Al Kurdi, B., Salloum, S. A., Arpaci, I., & Al-Emran, M. (2020). Predicting the actual use of m-learning systems: a comparative approach using PLS-SEM and machine learning algorithms. Interactive Learning Environ-ments, 1-15.
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Alshurideh, M. T., Al Kurdi, B., & Salloum, S. A. (2021b). The moderation effect of gender on accepting electronic pay-ment technology: a study on United Arab Emirates consumers. Review of International Business and Strategy. Review of International Business and Strategy, 31 (3), 375-396.
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Aqqad, N., Obeidat, B., Tarhini, A., & Masa'deh, R. E. (2019). The relationship among emotional intelligence, conflict management styles, and job performance in Jordanian banks. International Journal of Human Resources Development and Management, 19(3), 225-265.
Akour, I., Alshurideh, M., Al Kurdi, B., Al Ali, A., & Salloum, S. (2021). Using machine learning algorithms to predict people’s intention to use mobile learning platforms during the COVID-19 pandemic: machine learning approach. JMIR Medical Education, 7(1), e24032.
Alalwan, A. A., Baabdullah, A. M., Rana, N. P., Tamilmani, K., & Dwivedi, Y. K. (2018). Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust. Technology in Society, 55, 100–110. https://doi.org/10.1016/j.techsoc.2018.06.007
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Al-Dalahmeh, M., Al-Shamaileh, O., Aloudat, A., & Obeidat, B. (2018). The Viability of Mobile Services (SMS and Cell Broadcast) in Emergency Management Solutions: An Exploratory Study. International Journal of Interactive Mobile Technologies, 12(1), 95-115.
Aldás-Manzano, J., Lassala-Navarré, C., Ruiz-Mafé, C., & Sanz-Blas, S. (2009). The role of consumer innovativeness and perceived risk in online banking usage. International Journal of Bank Marketing, 27(1), 53–75. https://doi.org/10.1108/02652320910928245
Al-Dmour, R., AlShaar, F., Al-Dmour, H., Masa’deh, R., & Alshurideh, M. T. (2021). The Effect of Service Recovery Jus-tices Strategies on Online Customer Engagement Via the Role of “Customer Satisfaction” During the Covid-19 Pan-demic: An Empirical Study. The Effect of Coronavirus Disease (COVID-19) on Business Intelligence, 334, 325346.
Al-Hamad, M., Mbaidin, H., AlHamad, A., Alshurideh, M., Kurdi, B., & Al-Hamad, N. (2021). Investigating students' be-havioral intention to use mobile learning in higher education in UAE during Coronavirus-19 pandemic. International Journal of Data and Network Science, 5(3), 321-330.
AlHamad, M., Akour, I., Alshurideh, M., Al-Hamad, A., Kurdi, B., & Alzoubi, H. (2021). Predicting the intention to use google glass: A comparative approach using machine learning models and PLS-SEM. International Journal of Data and Network Science, 5(3), 311-320.
Al-Khayyal, A., Alshurideh, M., Al Kurdi, B., & Salloum, S. A. (2021). Factors influencing electronic service quality on electronic loyalty in online shopping context: data analysis approach. In Enabling AI Applications in Data Science (pp. 367-378). Springer, Cham.
Al Kurdi, B., Alshurideh, M., Salloum, S., Obeidat, Z., & Al-dweeri, R. (2020a). An empirical investigation into examina-tion of factors influencing university students’ behavior towards elearning acceptance using SEM approach. Interna-tional Journal of Interactive Mobile Technologies, 14(2), 19-41.
Al Kurdi, B., Alshurideh, M., & Salloum, S. A. (2020b). Investigating a theoretical framework for e-learning technology acceptance. International Journal of Electrical and Computer Engineering (IJECE), 10(6), 6484-6496.
Alshurideh, M., Salloum, S. A., Al Kurdi, B., Monem, A. A., & Shaalan, K. (2019a). Understanding the quality determi-nants that influence the intention to use the mobile learning platforms: A practical study. International Journal of In-teractive Mobile Technologies, 13(11), 183-157.
Alshurideh, M., Al Kurdi, B., & Salloum, S. A. (2019b). Examining the main mobile learning system drivers’ effects: A mix empirical examination of both the Expectation-Confirmation Model (ECM) and the Technology Acceptance Mod-el (TAM). In International Conference on Advanced Intelligent Systems and Informatics (pp. 406-417). Springer, Cham.
Alshurideh, M., Salloum, S. A., Al Kurdi, B., & Al-Emran, M. (2019c). Factors affecting the social networks acceptance: an empirical study using PLS-SEM approach. In Proceedings of the 2019 8th International Conference on Software and Computer Applications (pp. 414-418).
Alshurideh, M., Al Kurdi, B., Salloum, S. A., Arpaci, I., & Al-Emran, M. (2020). Predicting the actual use of m-learning systems: a comparative approach using PLS-SEM and machine learning algorithms. Interactive Learning Environ-ments, 1-15.
Alshurideh, M. T., Kurdi, B. A., AlHamad, A. Q., Salloum, S. A., Alkurdi, S., Dehghan, A., ... & Masa’deh, R. E. (2021a). Factors affecting the use of smart mobile examination platforms by universities’ postgraduate students during the COVID 19 pandemic: an empirical study. In Informatics (Vol. 8, No. 2, p. 32). Multidisciplinary Digital Publishing In-stitute.
Alshurideh, M. T., Al Kurdi, B., & Salloum, S. A. (2021b). The moderation effect of gender on accepting electronic pay-ment technology: a study on United Arab Emirates consumers. Review of International Business and Strategy. Review of International Business and Strategy, 31 (3), 375-396.
Azzarelli, T. (2020). Obtaining Landing Licenses and Permission to Operate LEO Constellations on a Global Basis. In Handbook of Small Satellites (pp. 1287–1313). Springer Nature Switzerland AG 2020. https://doi.org/10.1007/978-3-030-36308-6_72
Bougie, R., & Sekaran, U. (2019). Research methods for business: A skill building approach (8th ed.). John Wiley & Sons.
Crisp, N. H., Smith, K. L., & Hollingsworth, P. M. (2015). Launch and deployment of distributed small satellite systems. Acta Astronautica, 114, 65–78. https://doi.org/http://dx.doi.org/10.1016/j.actaastro.2015.04.015
Datareportal. (2021). DIGITAL 2021: THE UNITED ARAB EMIRATES. https://datareportal.com/reports/digital-2021-united-arab-emirates
Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results [Massachusetts Institute of Technology]. https://doi.org/10.1126/science.146.3652.1648
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. https://doi.org/https://doi.org/10.2307/249008
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Del Portillo, I., Cameron, B. G., & Crawley, E. F. (2019). A technical comparison of three low earth orbit satellite constel-lation systems to provide global broadband. Acta Astronautica, 159, 123–135. https://doi.org/https://doi.org/10.1016/j.actaastro.2019.03.040
Fatafta, L. W., Obeidat, B., Mohammed, A. B., & Kanaan, R. K. (2019). The effect of information technology on organiza-tional performance: the mediating role of quality management capabilities. Journal of Social Sciences (COES&RJ-JSS), 8(3), 456-480.
Gampala, V., Aurelia, S., Krishna Kishore, S., & Mydhili, S. K. (2021). Nautical communication relying on mobile Ad-hoc network via augmented reality devices. Materials Today: Proceedings. https://doi.org/10.1016/j.matpr.2020.11.822
Hair Jr., J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate Data Analysis. In Pharmaceutical Quality by Design: A Practical Approach (7th ed.). Pearson Education Limited.
Harfoushi, O., Alfawwaz, B., Obeidat, B., Obiedat, R., & Faris, H. (2013). Impact of internet advertisement and its fea-tures on e-commerce retail sales: Evidence from Europe. Journal of Software Engineering and Applications, 6(11), 564-570.
Hayajneh, N., Suifan, T., Obeidat, B., Abuhashesh, M., Alshurideh, M., & Masa’deh, R. (2021). The relationship between organizational changes and job satisfaction through the mediating role of job stress in the Jordanian telecommunica-tion sector. Management Science Letters, 11(1), 315-326.
Henri, Y. (2020). The OneWeb Satellite System. In Handbook of Small Satellites (pp. 1091–1100). Springer Nature Swit-zerland AG 2020. https://doi.org/https://doi.org/10.1007/978-3-030-20707-6_67-1
ITU. (2021). ICTs for a Sustainable World #ICT4SDG. https://www.itu.int/en/sustainable-world/Pages/default.aspx
Jimenez, I. A. C., García, L. C. C., Violante, M. G., Marcolin, F., & Vezzetti, E. (2021). Commonly used external tam var-iables in e-learning, agriculture and virtual reality applications. Future Internet, 13(1), 1–21. https://doi.org/10.3390/fi13010007
Lambrechts, W., & Sinha, S. (2019). Last Mile Internet Access for Emerging Economies. In Lecture Notes in Networks and Systems (Vol. 77). Springer International Publishing.
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