Science mapping analysis of challenges surrounding cloud universities and their impact on the resilience of higher education
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DOIhttp://dx.doi.org/10.21511/kpm.09(2).2025.01
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Article InfoVolume 9 2025, Issue #2, pp. 1-17
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In the context of digital transformation, the education sector needs innovative solutions to ensure continuity and quality of the learning process amidst contemporary challenges. One solution is using cloud technologies, which allow for the virtualization and replication of key institutional processes, from academic programs to campus operations. In this regard, this article aims to identify the challenges associated with the concept of cloud universities and their impact on the resilience of higher education. A science mapping analysis is conducted based on the most relevant scientific papers indexed in the international Scopus database from 2000 to 2024 using Scopus and SciVal built-in tools and the Science Mapping Analysis Tool. The results show a significant increase in the number of studies, especially within the fields of Computer Science and Social Sciences, dedicated to the use of cloud services and technology in education, with a growing focus on “digital twins”. The application of science mapping tools revealed key trends in research development, which evolved from the development and optimization of cloud infrastructure and difficulties of technological usage and the adoption of new technologies by users to the deep integration of various technologies into the educational process, exploring their reception by students and teachers, as well as the effectiveness of these initiatives. The analysis identified key challenges cloud universities face, such as the need for reliable technical infrastructure, adherence to cybersecurity standards, preparing educators and students for working with new technologies, financial costs of implementing cloud technologies, and ensuring academic integrity.
Acknowledgments
The publication was part of the Erasmus+ project “Disaster Resilience in Higher Education Systems via a Cloud University Model” (project number 2O24-1-AT01-KA220-HED-000249632).
- Keywords
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JEL Classification (Paper profile tab)I23, I28, O33
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References53
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Tables2
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Figures9
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- Figure 1. Dynamics of search queries on the challenges surrounding cloud universities
- Figure 2. Subject area of research on the challenges surrounding cloud universities
- Figure 3. Top 1% of worldwide topics among studies on the challenges surrounding cloud universities
- Figure 4. Overlapping map of research challenges surrounding cloud universities and their impact on the resilience of higher education
- Figure 5. Evolution map of research challenges surrounding cloud universities and their impact on the resilience of higher education
- Figure 6. Strategic diagram thematic clusters of research challenges surrounding cloud universities and their impact on the resilience of higher education
- Figure 7. Cluster “E-Learning System” network, 2019–2024
- Figure 8. Cluster “Cloud Services” network, 2019–2024
- Figure 9. Cluster “Big Data” network, 2019–2024
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- Table 1. Top 10 countries developing research on the impact of cloud technologies on the resilience of higher education
- Table 2. Systematization of challenges surrounding cloud universities and their impact on the resilience of higher education
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- Alharthi, A., Yahya, F., Walters, R. J., & Wills, G. B. (2015). An overview of cloud services adoption challenges in higher education institutions. In Proceedings of ESaaSA 2015 – 2nd International Workshop on Emerging Software as a Service and Analytics, In conjunction with the 5th International Conference on Cloud Computing and Services Science - CLOSER 2015 (pp. 102-109). Lisbon.
- Alkhwaldi, A. F., & Abdulmuhsin, A. A. (2022). Crisis-centric distance learning model in Jordanian higher education sector: Factors influencing the continuous use of distance learning platforms during COVID-19 pandemic. Journal of International Education in Business, 15(2), 250-272.
- AlSokkar, A., Al-Gasawneh, J.A., Otair, M., Alghizzawi, M., Alarabiat, D., & Eisawi, D.A. (2024). Online marketing campaigns’ aesthetics: Measuring the direct effect on customers’ decision-making. Innovative Marketing, 20(4), 206-218.
- Al-Zoubi, A., Hammad, B., Ros, S., Tobarra, L., Hernandez, R., & Pastor, R. (2015). Remote laboratories for renewable energy courses at Jordan universities. In Proceedings of the 44th Annual Frontiers in Education Conference, FIE 2014 (pp. 1-6).
- Bangkong, B. L. A., Rana, M. E., & Hameed, V. A. (2023). Overcoming the challenges of implementing cloud computing in higher education. In Proceedings of the 2023 4th International Conference on Data Analytics for Business and Industry (ICDABI) (pp. 341-346). IEEE.
- Berisha, V., & Rayfield, B. (2025). Impact of internal fintech on bank profitability. Investment Management and Financial Innovations, 22(1), 384-404.
- Budiyanto, A., Lubis, I., Pamungkas, I.B., & Maulana, A.E. (2025). Technology acceptance model, trust, and financial behavior in shaping consumer well-being: Insights from fintech adoption in urban Indonesia. Innovative Marketing, 21(2), pp. 197-210.
- Chamorro-Atalaya, O., Flores-Velásquez, C. H., Flores-Cáceres, R., Arévalo-Tuesta, J. A., Zevallos-Castañeda, M., Tomás-Quispe, G., Aranda-Dextre, C. C., Cruz-Telada, Y., Caller-Luna, J., & Alarcón-Anco, R. (2024). Use of digital twin technology in the teaching-learning process, in the field of university education: A bibliometric review. International Journal of Learning, Teaching and Educational Research, 23(2), 313-329.
- Chen, D., Zhang, X., Wang, L., & Han, Z. (2021). Prediction of cloud resources demand based on hierarchical Pythagorean fuzzy deep neural network. IEEE Transactions on Services Computing, 14(6), 1890-1901.
- Chen, X., Zou, D., Xie, H., & Wang, F. L. (2021). Past, present, and future of smart learning: a topic-based bibliometric analysis. International Journal of Educational Technology in Higher Education, 18(1).
- Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2012). SciMAT: A new science mapping analysis software tool. Journal of the American Society for Information Science and Technology, 63(8), 1609-1630.
- Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the fuzzy sets theory field. Journal of Informetrics, 5(1), 146-166.
- Conghuan, Y. (2011). A service computing model based on interaction among local Campus Clouds. In Proceedings of the 6th International Conference on Computer Science and Education (ICCSE 2011) (pp. 416-419).
- Febriandika, N.R., Harun, Hakimi, F., & Masrizal (2023). Determinants of consumer adoption of Islamic mobile banking services in Indonesia. Banks and Bank Systems, 18(4), pp. 30-43.
- Fromm, J., Radianti, J., Wehking, C., Stieglitz, S., Majchrzak, T. A., & vom Brocke, J. (2021). More than experience? On the unique opportunities of virtual reality to afford a holistic experiential learning cycle. Internet and Higher Education, 50, Article 100804.
- Hadwer, A. A., Gillis, D., & Rezania, D. (2019). Big data analytics for higher education in the cloud era. In Proceedings of the 2019 4th IEEE International Conference on Big Data Analytics (ICBDA) (pp. 203-207).
- Hevko, I. V., Lutsyk, I. B., Lutsyk, I. I., Potapchuk, O. I., & Borysov, V. V. (2021). Implementation of web resources using cloud technologies to demonstrate and organize students' research work. In Proceedings of the 13th International Conference on Mathematics, Science and Technology Education (ICon-MaSTEd 2021) (Vol. 1946, Article 012019). Journal of Physics: Conference Series.
- Huda, M. (2023). Towards digital access during pandemic age: Better learning service or adaptation struggling? Foresight, 25(1), 82-107.
- Jones, K. M. L., Rubel, A., & LeClere, E. (2019). A matter of trust: Higher education institutions as information fiduciaries in an age of educational data mining and learning analytics. Journal of the Association for Information Science and Technology, 71(10), 1227-1241.
- Juma, M. K., & Tjahyanto, A. (2019). Challenges of cloud computing adoption model for higher education level in Zanzibar (The case study of SUZA and ZU). Procedia Computer Science, 161, 1046-1054.
- Kankia, Y. B., Che, X., Ip, B., & Ji, W. (2023). Student-informed technology adoption in higher education of developing countries. In Proceedings of the 2023 International Conference on Information Network and Computer Communications (INCC 2023) (pp. 13-18). IEEE.
- Karo, D., & Petsangsri, S. (2020). The effect of online mentoring system through professional learning community with information and communication technology via cloud computing for pre-service teachers in Thailand. Education and Information Technologies, 26, 1133-1142.
- Klavans, R., & Boyack, K. W. (2017). Research portfolio analysis and topic prominence. Journal of Informetrics, 11(4), 1158-1174.
- Korobeinikova, T. I., Volkova, N. P., Kozhushko, S. P., Holub, D. O., Zinukova, N. V., Kozhushkina, T. L., & Vakarchuk, S. B. (2020). Google cloud services as a way to enhance learning and teaching at university. CEUR Workshop Proceedings, 7, 106-118.
- Lin, Y.-L., & Wang, W.-T. (2024). The influences of virtual-reality- and animation-supported gamified learning processes on students’ learning achievement and behavioral intention in retailing management courses. International Journal of Management Education, 22(3), Article 101047.
- Luo, J.-Z., Jin, J.-H., Song, A.-B., & Dong, F. (2011). Cloud computing: Architecture and key technologies. Tongxin Xuebao/Journal on Communications, 32(7), 3-21.
- Majumder, S., Deb Barma, M. K., & Saha, A. (2024). ARP spoofing detection using machine learning classifiers: An experimental study. Knowledge and Information Systems, 67, 727-766.
- Malik, H.A.S., Abdullah, N.A.H.N., & Fakhrorazi, A. (2025). Understanding customer loyalty in mobile wallet apps: A post-pandemic analysis with customer involvement as moderator. Innovative Marketing, 21(1), 338-349.
- Matsenko, O., Melnyk, L., Skrypka, Y., Dehtyarova, I., Kozmenko, S., & Kalinichenko, L. (2025). Military and economic prerequisites for transforming the energy supply of the housing sector of Ukraine based on Industry 3.0. International Journal of Global Energy Issues, 47(1/2), pp 57-69.
- Mazhar, T., Talpur, D. B., Shloul, T. A., Ghadi, Y. Y., Haq, I., Ullah, I., Ouahada, K., & Hamam, H. (2023). Analysis of IoT security challenges and its solutions using artificial intelligence. Brain Sciences, 13(4), Article 683.
- Nemoto, T., Mishima, K., & Aoyama, S. (2022). 5-year Efforts and Operational Results of Virtual Computer Classroom in TUAT. ACM SIGUCCS Annual Conference (pp. 21-24).
- Nooruddin, U.M., Ramish, M.S., Munir, N., Ahmed, S., & Ansari, J. (2022). Adoption and commitment to online banking in Pakistan using the technology acceptance model. Banks and Bank Systems, 17(4), 154-166.
- Okulicz-Kozaryn, W., Аrtyukhov, А., Skowron, Ł., Dluhopolskyi, O., & Cwynar, W. (2023). Sustainability of Higher Education: Study of Student Opinions about the Possibility of Replacing Teachers with AI Technologies. Sustainability, 16(1), 55-55.
- Oleksiuk, V. P., & Oleksiuk, O. R. (2019). Methodology of teaching cloud technologies to future computer science teachers. CTE Workshop Proceedings, 7, 592-608.
- Pastor, R., Hernández, R., Ros, S., Sánchez, D., Caminero, A., Robles, A., Tobarra, L., Castro, M., Díaz, G., Sancristobal, E., & Tawfik, M. (2013). Online laboratories as a cloud service developed by students. In Proceedings of the 43rd IEEE Annual Frontiers in Education Conference, FIE 2013 (pp. 1081-1086).
- Plastun, A., & Kozmenko, S. (2025). Stolen Ukrainian universities: An invisible russian weapon. Problems and Perspectives in Management, 23(2-si), pp. 151-175.
- Prinsloo, P., & Slade, S. (2017). An elephant in the learning analytics room. Proceedings of the Seventh International Learning Analytics & Knowledge Conference (pp. 46-55).
- Rieznyk, O., Treus, A., & Kozmenko, S. (2023). Priorities of impact investing in environmental protection projects: the case of the future post-war reconstruction of Ukraine. Business: Theory and Practice, 24(2), pp. 459-472.
- Rodrigues, G. D. C., Calheiros, R. N., Guimaraes, V. T., Dos Santos, G. L., De Carvalho, M. B., Granville, L. Z., Tarouco, L. M. R., & Buyya, R. (2016). Monitoring of cloud computing environments: Concepts, solutions, trends, and future directions. In Proceedings of the 31st Annual ACM Symposium on Applied Computing (SAC 2016) (pp. 378-383). Pisa.
- Sabi, H. M., Uzoka, F.-M. E., Langmia, K., & Njeh, F. N. (2016). Conceptualizing a model for adoption of cloud computing in education. International Journal of Information Management, 36(2), 183-191.
- Shyshkina, M. P. (2018). Service models of the cloud-based learning environment of the educational institution. CTE Workshop Proceedings, 5, 1-6.
- Terzopoulos, G., & Satratzemi, M. (2020). Voice Assistants and Smart Speakers in Everyday Life and in Education. Informatics in Education, 19(3), 473-490.
- Thomas, P. Y. (2011). Cloud computing: A potential paradigm for practicing the scholarship of teaching and learning. Electronic Library, 29(2), 214-224.
- Thomas, P. Y. (2012). Harnessing the potential of cloud computing to transform higher education. In Cloud Computing for Teaching and Learning: Strategies for Design and Implementation (pp. 147-158).
- Tóth, B., Motahari-Nezhad, H., Horseman, N., Berek, L., Kovács, L., Hölgyesi, Á., Péntek, M., Mirjalili, S., Gulácsi, L., & Zrubka, Z. (2024). Ranking resilience: assessing the impact of scientific performance and the expansion of the Times Higher Education Word University Rankings on the position of Czech, Hungarian, Polish, and Slovak universities. Scientometrics, 129, 1739-1770.
- Tzavidas, E., Enevoldsen, P., & Xydis, G. (2020). A University-industry knowledge transfer online education approach via a cloud-based database global solution. Smart Learning Environments, 7(1).
- Vlachogianni, P., & Tselios, N. (2022). Perceived usability evaluation of educational technology using the System Usability Scale (SUS): A systematic review. Journal of Research on Technology in Education, 54(3), 392-409.
- Volikova, M. M., Armash, T. S., Yechkalo, Y. V., & Zaselskiy, V. I. (2019). Practical use of cloud services for organization of future specialists' professional training. Pedagogy of Higher and Secondary Education, 52, 235-252.
- Xu, D., Gao, Y., Tu, T., & Xiao, X. (2022). A big data integration platform for ideological and political education for smart campuses. Security and Communication Networks, 2022(1), Article 5973920.
- Yadegaridehkordi, E., Shuib, L., Nilashi, M., & Asadi, S. (2018). Decision to adopt online collaborative learning tools in higher education: A case of top Malaysian universities. Education and Information Technologies, 24(1), 79-102.
- Ye, Y. (2024). A higher education information management system based on digital twin technology and artificial intelligence algorithms. Proceedings of the 2024 Asia-Pacific Conference on Software Engineering, Social Network Analysis and Intelligent Computing, SSAIC (pp. 172-176).
- Yue, S., Wei, J., Aziz, H., & Liew, K. (2023). A study on the effectiveness of self-assessment learning system of ideological and political education for college students. Learning and Motivation, 84, 101929.
- Zhang, Y., Liang, R., Wei, L., Fu, X., & Zheng, Y. (2022). A digital twin of instructor in higher education. In Proceedings of the 2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC 2022) (pp. 866-870). IEEE.