How to cite this paper
Alarefi, M. (2023). Cloud computing usage by governmental organizations in Saudi Arabia based on Vision 2030.Uncertain Supply Chain Management, 11(1), 169-178.
Refrences
Abuaddous, H. Y., Saleh, A. M., Enaizan, O., Ghabban, F., & Al-Badareen, A. B. (2022). Automated User Experience (UX) Testing for Mobile Application: Strengths and Limitations. International Journal of Interactive Mobile Technologies, 16(4).
Aharony, N. (2015). An exploratory study on factors affecting the adoption of cloud computing by information professionals. The Electronic Library, 33(2), 308–323. https://doi.org/10.1108/EL-01-2014-0022
Al-Dhuraibi, Y., Paraiso, F., Djarallah, N., & Merle, P. (2018). Elasticity in cloud computing: state of the art and research challenges. IEEE Transactions on Services Computing, 11(2), 430–447.
Al-Gahtani, S. S. (2014). Empirical investigation of e-learning acceptance and assimilation: A structural equation model. Applied Computing and Informatics, 12(1), 27–50. https://doi.org/10.1016/j.aci.2014.09.001
Al-Mamary, Y. H. S., & Alraja, M. M. (2022). Understanding entrepreneurship intention and behavior in the light of TPB model from the digital entrepreneurship perspective. International Journal of Information Management Data Insights, 2(2), 100106.
Alassafi, M. O. (2021). Success indicators for an efficient utilization of cloud computing in healthcare organizations: Saudi healthcare as case study. Computer Methods and Programs in Biomedicine, 212, 106466.
Algarni, M., Alkhelaiwi, M., & Karrar, A. (2021). Internet of Things Security: A Review of Enabled Application Challenges and Solutions. In International Journal of Advanced Computer Science and Applications (Vol. 12, Issue 3). https://doi.org/10.14569/IJACSA.2021.0120325
AlGhamdi, S., Win, K. T., & Vlahu-Gjorgievska, E. (2022). Employees’ intentions toward complying with information security controls in Saudi Arabia’s public organisations. Government Information Quarterly, 101721.
Alhomdy, S., Thabit, F., Abdulrazzak, F. H., Haldorai, A., & Jagtap, S. (2021). The role of cloud computing technology: A savior to fight the lockdown in COVID 19 crisis, the benefits, characteristics and applications. International Journal of Intelligent Networks, 2, 166–174.
Ali, O., Shrestha, A., Osmanaj, V., & Muhammed, S. (2020). Cloud computing technology adoption: an evaluation of key factors in local governments. Information Technology & People, 34(2), 666–703.
Alkharusi, M. H., & Al-badi, A. H. (2016). IT Personnel Perspective of the Slow Adoption of Cloud Computing in Public Sector : Case Study in Oman. 3rd MEC International Conference on Big Data and Smart City IT, 7–16.
Alkhater, N., Walters, R., & Wills, G. (2018). An empirical study of factors influencing cloud adoption among private sector organisations. Telematics and Informatics, 35(1), 38–54. https://doi.org/10.1016/j.tele.2017.09.017
Almarhabi, K., Bahaddad, A., & Alghamdi, A. M. (2023). Security management of BYOD and cloud environment in Saudi Arabia. Alexandria Engineering Journal, 63, 103-114.
Arpaci, I. (2016). Understanding and predicting students’ intention to use mobile cloud storage services. Computers in Human Behavior, 58, 150–157. https://doi.org/10.1016/j.chb.2015.12.067
Arpaci, I., Kilicer, K., & Bardakci, S. (2015). Effects of security and privacy concerns on educational use of cloud services. Computers in Human Behavior, 45, 93–98. https://doi.org/10.1016/j.chb.2014.11.075
Asadi, S., Nilashi, M., Iranmanesh, M., Hyun, S. S., & Rezvani, A. (2021). Effect of internet of things on manufacturing performance: A hybrid multi-criteria decision-making and neuro-fuzzy approach. Technovation, 102426.
Burda, D., & Teuteberg, F. (2014). The role of trust and risk perceptions in cloud archiving - Results from an empirical study. Journal of High Technology Management Research, 25(2), 172–187. https://doi.org/10.1016/j.hitech.2014.07.008
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. Source: MIS Quarterly, 13(3), 319–340.
De Prieëlle, F., De Reuver, M., & Rezaei, J. (2020). The role of ecosystem data governance in adoption of data platforms by Internet-of-Things data providers: Case of Dutch horticulture industry. IEEE Transactions on Engineering Management.
El-Attar, N. E., El-Ela, N. A., & Awad, W. A. (2019). Integrated learning approaches based on cloud computing for personalizing e-learning environment. International Journal of Web-Based Learning and Teaching Technologies, 14(2), 67–87. https://doi.org/10.4018/IJWLTT.2019040105
Enaizan, O., Eneizan, B., Almaaitah, M., Al-Radaideh, A. T., & Saleh, A. M. (2020). Effects of privacy and security on the acceptance and usage of EMR: the mediating role of trust on the basis of multiple perspectives. Informatics in Medicine Unlocked, 100450.
ENEIZAN, B., ALSAAD, A., ABDELBASET ALKHAWALDEH, H. N., & RAWASH, O. E. (2020). E-wom, trust, usefulness, ease of use, and online shopping via websites: the moderating role of online shopping experience. Journal of Theoretical and Applied Information Technology, 98(13).
Ermakova, T., Fabian, B., & Zarnekow, R. (2014). Acceptance of health clouds-a privacy calculus perspective.
Fithri, D. L., Utomo, A. P., & Nugraha, F. (2020). Implementation of SaaS Cloud Computing Services on E-Learning Applications (Case Study: PGRI Foundation School). Journal of Physics: Conference Series, 1430(1). https://doi.org/10.1088/1742-6596/1430/1/012049
Flint, D. (2017). Storms Ahead for Cloud Service Providers. Business Law Review, 38(3), 125–126.
Geng, S., Law, K. M. Y., & Niu, B. (2019). Investigating self-directed learning and technology readiness in blending learning environment. International Journal of Educational Technology in Higher Education, 16(1), 1–22.
Ghaleb, E. A. A., Dominic, P. D. D., Fati, S. M., Muneer, A., & Ali, R. F. (2021). The Assessment of Big Data Adoption Readiness with a Technology–Organization–Environment Framework: A Perspective towards Healthcare Employees. Sustainability, 13(15), 8379.
Gupta, P., Seetharaman, A., & Raj, J. R. (2013). The usage and adoption of cloud computing by small and medium businesses. International Journal of Information Management, 33(5), 861–874. https://doi.org/10.1016/j.ijinfomgt.2013.07.001
Hadi, H. J., Omar, M. A., & Osman, W. R. S. (2021). Investigating the determinants of CC-SaaS adoption in Iraqi’s public organisations from the perspective of IT professionals. International Journal of Engineering Research and Technology, 14(2), 130–143.
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45(5), 616–632.
Ireda, A. M. A., Ben-Mubarak, M. A., & Buhari, A. (2019). Factors That Influence An Academic Institution’s Intention To Accept CloudIOT: A Proposed Framework. 2(IcoIESE 2018), 140–143. https://doi.org/10.2991/icoiese-18.2019.25
Jones, S., Irani, Z., Sivarajah, U., & Love, P. E. D. (2019). Risks and rewards of cloud computing in the UK public sector: A reflection on three Organisational case studies. Information Systems Frontiers, 21(2), 359–382.
Kayali, M., & Alaaraj, S. (2020). Adoption of Cloud Based E-learning in Developing Countries : A Combination A of DOI , TAM and UTAUT. International Journal of Contemporary Management and Information Technology, 1(1), 1–7.
Khan, M. A., & Salah, K. (2020). Cloud adoption for e-learning: Survey and future challenges. Education and Information Technologies, 25(2), 1417–1438. https://doi.org/10.1007/s10639-019-10021-5
Khurana, S., & Verma, A. G. (2013). Comparison of cloud computing service models: SaaS, PaaS, IaaS. IJECT, 4(Spl-3).
Kim, J. J., Lee, M. J., & Han, H. (2020). Smart hotels and sustainable consumer behavior: Testing the effect of perceived performance, attitude, and technology readiness on word-of-mouth. International Journal of Environmental Research and Public Health, 17(20), 7455.
Kim, J., & Kim, E. (2022). Relationship between Self-Esteem and Technological Readiness: Mediation Effect of Readiness for Change and Moderated Mediation Effect of Gender in South Korean Teachers. International Journal of Environmental Research and Public Health, 19(14), 8463.
Kim, M. J., Lee, C.-K., & Preis, M. W. (2020). The impact of innovation and gratification on authentic experience, subjective well-being, and behavioral intention in tourism virtual reality: The moderating role of technology readiness. Telematics and Informatics, 49, 101349.
Kim, T., & Chiu, W. (2018). Consumer acceptance of sports wearable technology: The role of technology readiness. International Journal of Sports Marketing and Sponsorship, 20(1), 109-126.
Lian, J. W. (2015). Critical factors for cloud based e-invoice service adoption in Taiwan: An empirical study. International Journal of Information Management, 35(1), 98–109. https://doi.org/10.1016/j.ijinfomgt.2014.10.005
Lian, J. W., Yen, D. C., & Wang, Y. T. (2014). An exploratory study to understand the critical factors affecting the decision to adopt cloud computing in Taiwan hospital. International Journal of Information Management, 34(1), 28–36. https://doi.org/10.1016/j.ijinfomgt.2013.09.004
Lim, N., Gronlund, A., Andersson, A., Grönlund, Å., & Andersson, A. (2015). Cloud computing: The beliefs and perceptions of Swedish school principals. Computers and Education, 84, 90–100. https://doi.org/10.1016/j.compedu.2015.01.009
Low, C., Chen, Y., & Wu, M. (2011a). Understanding the determinants of cloud computing adoption. Industrial Management & Data Systems, 111(7), 1006–1023. https://doi.org/10.1108/02635571111161262
Low, C., Chen, Y., & Wu, M. (2011b). Understanding the determinants of cloud computing adoption. Industrial Management & Data Systems, 111(7).
Mell, P., & Grance, T. (2011). The NIST Definition of Cloud Computing Recommendations of the National Institute of Standards and Technology. Nist Special Publication, 145(7). https://doi.org/10.1136/emj.2010.096966
Myers, S. A., Zhu, C., & Leskovec, J. (2012). Information diffusion and external influence in networks. Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 33–41.
Nguyen, T. D., Nguyen, T. M., Pham, Q. T., & Misra, S. (2014). Acceptance and use of E-learning based on cloud computing: The role of consumer innovativeness. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 8583 LNCS (Issue PART 5, pp. 159–174). https://doi.org/10.1007/978-3-319-09156-3_12
Okuonghae, O., Igbinovia, M. O., & Adebayo, J. O. (2022). Technological readiness and computer self-efficacy as predictors of E-learning adoption by LIS students in Nigeria. Libri, 72(1), 13–25.
Park, E., & Kim, K. J. (2014). An integrated adoption model of mobile cloud services: Exploration of key determinants and extension of technology acceptance model. Telematics and Informatics, 31(3), 376–385. https://doi.org/10.1016/j.tele.2013.11.008
Park, S. C., & Ryoo, S. Y. (2013). An empirical investigation of end-users’ switching toward cloud computing: A two factor theory perspective. Computers in Human Behavior, 29(1), 160–170. https://doi.org/10.1016/j.chb.2012.07.032
Radas, S. (2005). Diffusion models in marketing: How to incorporate the effect of external influence. Privredna Kretanja i Ekonomska Politika, 15(105), 30–51.
Raut, R. D., Priyadarshinee, P., Gardas, B. B., & Jha, M. K. (2018). Analyzing the factors influencing cloud computing adoption using three stage hybrid SEM-ANN-ISM (SEANIS) approach. Technological Forecasting and Social Change, 134(July 2017), 98–123. https://doi.org/10.1016/j.techfore.2018.05.020
Rawwash, H., Masad, F., Enaizan, O., Eneizan, B., Adaileh, M., Saleh, A., & Almestarihi, R. (2020). Factors affecting Jordanian electronic banking services. Management Science Letters, 10(4), 915–922.
Sabi, H. M., Uzoka, F.-M. E., & Mlay, S. V. (2018). Staff perception towards cloud computing adoption at universities in a developing country. Education and Information Technologies, 23(5), 1825–1848.
Saleh, A. M., Abuaddous, H. Y., Enaizan, O., & Ghabban, F. (2021). User experience assessment of a COVID-19 tracking mobile application (AMAN) in Jordan. Indonesian Journal of Electrical Engineering and Computer Science, 23(2), 1120–1127.
Sasmita, J., & Mohd Suki, N. (2015). Young consumers’ insights on brand equity: Effects of brand association, brand loyalty, brand awareness, and brand image. International Journal of Retail & Distribution Management, 43(3), 276–292.
Senyo, P. K., Effah, J., & Addae, E. (2016). Preliminary insight into cloud computing adoption in a developing country. Journal of Enterprise Information Management, 29(4). https://doi.org/http://dx.doi.org/10.1108/09564230910978511
Shachak, A., Kuziemsky, C., & Petersen, C. (2019). Beyond TAM and UTAUT: Future directions for HIT implementation research. Journal of Biomedical Informatics, 100, 103315.
Shin, D.-H., & Park, Y. J. (2017). Understanding the Internet of Things ecosystem: multi-level analysis of users, society, and ecology. Digital Policy, Regulation and Governance, 19(1), 77-100.
Singh, S., & Chand, D. (2014). [SiCh14] Trust evaluation in cloud based on friends and third party’s recommendations. 2014 Recent Advances in Engineering and Computational Sciences (RAECS), 1–6. https://doi.org/10.1109/RAECS.2014.6799600
Tsourela, M., & Roumeliotis, M. (2015). The moderating role of technology readiness, gender, and sex in consumer acceptance and actual use of Technology-based services. The Journal of High Technology Management Research, 26(2), 124–136.
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Yang, J., He, S., Lin, Y., & Lv, Z. (2017). Multimedia cloud transmission and storage system based on internet of things. Multimedia Tools and Applications, 76(17), 17735–17750.
Zhang, Q., Cheng, L., & Boutaba, R. (2010). Cloud computing: state-of-the-art and research challenges. Journal of Internet Services and Applications, 1(1), 7–18.
Aharony, N. (2015). An exploratory study on factors affecting the adoption of cloud computing by information professionals. The Electronic Library, 33(2), 308–323. https://doi.org/10.1108/EL-01-2014-0022
Al-Dhuraibi, Y., Paraiso, F., Djarallah, N., & Merle, P. (2018). Elasticity in cloud computing: state of the art and research challenges. IEEE Transactions on Services Computing, 11(2), 430–447.
Al-Gahtani, S. S. (2014). Empirical investigation of e-learning acceptance and assimilation: A structural equation model. Applied Computing and Informatics, 12(1), 27–50. https://doi.org/10.1016/j.aci.2014.09.001
Al-Mamary, Y. H. S., & Alraja, M. M. (2022). Understanding entrepreneurship intention and behavior in the light of TPB model from the digital entrepreneurship perspective. International Journal of Information Management Data Insights, 2(2), 100106.
Alassafi, M. O. (2021). Success indicators for an efficient utilization of cloud computing in healthcare organizations: Saudi healthcare as case study. Computer Methods and Programs in Biomedicine, 212, 106466.
Algarni, M., Alkhelaiwi, M., & Karrar, A. (2021). Internet of Things Security: A Review of Enabled Application Challenges and Solutions. In International Journal of Advanced Computer Science and Applications (Vol. 12, Issue 3). https://doi.org/10.14569/IJACSA.2021.0120325
AlGhamdi, S., Win, K. T., & Vlahu-Gjorgievska, E. (2022). Employees’ intentions toward complying with information security controls in Saudi Arabia’s public organisations. Government Information Quarterly, 101721.
Alhomdy, S., Thabit, F., Abdulrazzak, F. H., Haldorai, A., & Jagtap, S. (2021). The role of cloud computing technology: A savior to fight the lockdown in COVID 19 crisis, the benefits, characteristics and applications. International Journal of Intelligent Networks, 2, 166–174.
Ali, O., Shrestha, A., Osmanaj, V., & Muhammed, S. (2020). Cloud computing technology adoption: an evaluation of key factors in local governments. Information Technology & People, 34(2), 666–703.
Alkharusi, M. H., & Al-badi, A. H. (2016). IT Personnel Perspective of the Slow Adoption of Cloud Computing in Public Sector : Case Study in Oman. 3rd MEC International Conference on Big Data and Smart City IT, 7–16.
Alkhater, N., Walters, R., & Wills, G. (2018). An empirical study of factors influencing cloud adoption among private sector organisations. Telematics and Informatics, 35(1), 38–54. https://doi.org/10.1016/j.tele.2017.09.017
Almarhabi, K., Bahaddad, A., & Alghamdi, A. M. (2023). Security management of BYOD and cloud environment in Saudi Arabia. Alexandria Engineering Journal, 63, 103-114.
Arpaci, I. (2016). Understanding and predicting students’ intention to use mobile cloud storage services. Computers in Human Behavior, 58, 150–157. https://doi.org/10.1016/j.chb.2015.12.067
Arpaci, I., Kilicer, K., & Bardakci, S. (2015). Effects of security and privacy concerns on educational use of cloud services. Computers in Human Behavior, 45, 93–98. https://doi.org/10.1016/j.chb.2014.11.075
Asadi, S., Nilashi, M., Iranmanesh, M., Hyun, S. S., & Rezvani, A. (2021). Effect of internet of things on manufacturing performance: A hybrid multi-criteria decision-making and neuro-fuzzy approach. Technovation, 102426.
Burda, D., & Teuteberg, F. (2014). The role of trust and risk perceptions in cloud archiving - Results from an empirical study. Journal of High Technology Management Research, 25(2), 172–187. https://doi.org/10.1016/j.hitech.2014.07.008
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. Source: MIS Quarterly, 13(3), 319–340.
De Prieëlle, F., De Reuver, M., & Rezaei, J. (2020). The role of ecosystem data governance in adoption of data platforms by Internet-of-Things data providers: Case of Dutch horticulture industry. IEEE Transactions on Engineering Management.
El-Attar, N. E., El-Ela, N. A., & Awad, W. A. (2019). Integrated learning approaches based on cloud computing for personalizing e-learning environment. International Journal of Web-Based Learning and Teaching Technologies, 14(2), 67–87. https://doi.org/10.4018/IJWLTT.2019040105
Enaizan, O., Eneizan, B., Almaaitah, M., Al-Radaideh, A. T., & Saleh, A. M. (2020). Effects of privacy and security on the acceptance and usage of EMR: the mediating role of trust on the basis of multiple perspectives. Informatics in Medicine Unlocked, 100450.
ENEIZAN, B., ALSAAD, A., ABDELBASET ALKHAWALDEH, H. N., & RAWASH, O. E. (2020). E-wom, trust, usefulness, ease of use, and online shopping via websites: the moderating role of online shopping experience. Journal of Theoretical and Applied Information Technology, 98(13).
Ermakova, T., Fabian, B., & Zarnekow, R. (2014). Acceptance of health clouds-a privacy calculus perspective.
Fithri, D. L., Utomo, A. P., & Nugraha, F. (2020). Implementation of SaaS Cloud Computing Services on E-Learning Applications (Case Study: PGRI Foundation School). Journal of Physics: Conference Series, 1430(1). https://doi.org/10.1088/1742-6596/1430/1/012049
Flint, D. (2017). Storms Ahead for Cloud Service Providers. Business Law Review, 38(3), 125–126.
Geng, S., Law, K. M. Y., & Niu, B. (2019). Investigating self-directed learning and technology readiness in blending learning environment. International Journal of Educational Technology in Higher Education, 16(1), 1–22.
Ghaleb, E. A. A., Dominic, P. D. D., Fati, S. M., Muneer, A., & Ali, R. F. (2021). The Assessment of Big Data Adoption Readiness with a Technology–Organization–Environment Framework: A Perspective towards Healthcare Employees. Sustainability, 13(15), 8379.
Gupta, P., Seetharaman, A., & Raj, J. R. (2013). The usage and adoption of cloud computing by small and medium businesses. International Journal of Information Management, 33(5), 861–874. https://doi.org/10.1016/j.ijinfomgt.2013.07.001
Hadi, H. J., Omar, M. A., & Osman, W. R. S. (2021). Investigating the determinants of CC-SaaS adoption in Iraqi’s public organisations from the perspective of IT professionals. International Journal of Engineering Research and Technology, 14(2), 130–143.
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45(5), 616–632.
Ireda, A. M. A., Ben-Mubarak, M. A., & Buhari, A. (2019). Factors That Influence An Academic Institution’s Intention To Accept CloudIOT: A Proposed Framework. 2(IcoIESE 2018), 140–143. https://doi.org/10.2991/icoiese-18.2019.25
Jones, S., Irani, Z., Sivarajah, U., & Love, P. E. D. (2019). Risks and rewards of cloud computing in the UK public sector: A reflection on three Organisational case studies. Information Systems Frontiers, 21(2), 359–382.
Kayali, M., & Alaaraj, S. (2020). Adoption of Cloud Based E-learning in Developing Countries : A Combination A of DOI , TAM and UTAUT. International Journal of Contemporary Management and Information Technology, 1(1), 1–7.
Khan, M. A., & Salah, K. (2020). Cloud adoption for e-learning: Survey and future challenges. Education and Information Technologies, 25(2), 1417–1438. https://doi.org/10.1007/s10639-019-10021-5
Khurana, S., & Verma, A. G. (2013). Comparison of cloud computing service models: SaaS, PaaS, IaaS. IJECT, 4(Spl-3).
Kim, J. J., Lee, M. J., & Han, H. (2020). Smart hotels and sustainable consumer behavior: Testing the effect of perceived performance, attitude, and technology readiness on word-of-mouth. International Journal of Environmental Research and Public Health, 17(20), 7455.
Kim, J., & Kim, E. (2022). Relationship between Self-Esteem and Technological Readiness: Mediation Effect of Readiness for Change and Moderated Mediation Effect of Gender in South Korean Teachers. International Journal of Environmental Research and Public Health, 19(14), 8463.
Kim, M. J., Lee, C.-K., & Preis, M. W. (2020). The impact of innovation and gratification on authentic experience, subjective well-being, and behavioral intention in tourism virtual reality: The moderating role of technology readiness. Telematics and Informatics, 49, 101349.
Kim, T., & Chiu, W. (2018). Consumer acceptance of sports wearable technology: The role of technology readiness. International Journal of Sports Marketing and Sponsorship, 20(1), 109-126.
Lian, J. W. (2015). Critical factors for cloud based e-invoice service adoption in Taiwan: An empirical study. International Journal of Information Management, 35(1), 98–109. https://doi.org/10.1016/j.ijinfomgt.2014.10.005
Lian, J. W., Yen, D. C., & Wang, Y. T. (2014). An exploratory study to understand the critical factors affecting the decision to adopt cloud computing in Taiwan hospital. International Journal of Information Management, 34(1), 28–36. https://doi.org/10.1016/j.ijinfomgt.2013.09.004
Lim, N., Gronlund, A., Andersson, A., Grönlund, Å., & Andersson, A. (2015). Cloud computing: The beliefs and perceptions of Swedish school principals. Computers and Education, 84, 90–100. https://doi.org/10.1016/j.compedu.2015.01.009
Low, C., Chen, Y., & Wu, M. (2011a). Understanding the determinants of cloud computing adoption. Industrial Management & Data Systems, 111(7), 1006–1023. https://doi.org/10.1108/02635571111161262
Low, C., Chen, Y., & Wu, M. (2011b). Understanding the determinants of cloud computing adoption. Industrial Management & Data Systems, 111(7).
Mell, P., & Grance, T. (2011). The NIST Definition of Cloud Computing Recommendations of the National Institute of Standards and Technology. Nist Special Publication, 145(7). https://doi.org/10.1136/emj.2010.096966
Myers, S. A., Zhu, C., & Leskovec, J. (2012). Information diffusion and external influence in networks. Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 33–41.
Nguyen, T. D., Nguyen, T. M., Pham, Q. T., & Misra, S. (2014). Acceptance and use of E-learning based on cloud computing: The role of consumer innovativeness. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 8583 LNCS (Issue PART 5, pp. 159–174). https://doi.org/10.1007/978-3-319-09156-3_12
Okuonghae, O., Igbinovia, M. O., & Adebayo, J. O. (2022). Technological readiness and computer self-efficacy as predictors of E-learning adoption by LIS students in Nigeria. Libri, 72(1), 13–25.
Park, E., & Kim, K. J. (2014). An integrated adoption model of mobile cloud services: Exploration of key determinants and extension of technology acceptance model. Telematics and Informatics, 31(3), 376–385. https://doi.org/10.1016/j.tele.2013.11.008
Park, S. C., & Ryoo, S. Y. (2013). An empirical investigation of end-users’ switching toward cloud computing: A two factor theory perspective. Computers in Human Behavior, 29(1), 160–170. https://doi.org/10.1016/j.chb.2012.07.032
Radas, S. (2005). Diffusion models in marketing: How to incorporate the effect of external influence. Privredna Kretanja i Ekonomska Politika, 15(105), 30–51.
Raut, R. D., Priyadarshinee, P., Gardas, B. B., & Jha, M. K. (2018). Analyzing the factors influencing cloud computing adoption using three stage hybrid SEM-ANN-ISM (SEANIS) approach. Technological Forecasting and Social Change, 134(July 2017), 98–123. https://doi.org/10.1016/j.techfore.2018.05.020
Rawwash, H., Masad, F., Enaizan, O., Eneizan, B., Adaileh, M., Saleh, A., & Almestarihi, R. (2020). Factors affecting Jordanian electronic banking services. Management Science Letters, 10(4), 915–922.
Sabi, H. M., Uzoka, F.-M. E., & Mlay, S. V. (2018). Staff perception towards cloud computing adoption at universities in a developing country. Education and Information Technologies, 23(5), 1825–1848.
Saleh, A. M., Abuaddous, H. Y., Enaizan, O., & Ghabban, F. (2021). User experience assessment of a COVID-19 tracking mobile application (AMAN) in Jordan. Indonesian Journal of Electrical Engineering and Computer Science, 23(2), 1120–1127.
Sasmita, J., & Mohd Suki, N. (2015). Young consumers’ insights on brand equity: Effects of brand association, brand loyalty, brand awareness, and brand image. International Journal of Retail & Distribution Management, 43(3), 276–292.
Senyo, P. K., Effah, J., & Addae, E. (2016). Preliminary insight into cloud computing adoption in a developing country. Journal of Enterprise Information Management, 29(4). https://doi.org/http://dx.doi.org/10.1108/09564230910978511
Shachak, A., Kuziemsky, C., & Petersen, C. (2019). Beyond TAM and UTAUT: Future directions for HIT implementation research. Journal of Biomedical Informatics, 100, 103315.
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