Managing Inspirational SMART University Eco-Digital Projects. Case IITU Almaty, Kazakhstan
Keywords:
Project Management, Governance, Organizational Agility, University, Eco-digital projectsAbstract
This paper critically examines how the integration of Edge Artificial Intelligence (Edge AI) and Cloud-Native Artificial Intelligence (Cloud-Native AI) can enhance agility, scalability, and governance in modern project management. Drawing on literature published between 2019 and 2025, the study applies the Technology-Organization-Environment (TOE) and Diffusion of Innovations (DOI) frameworks to explore the technical, organizational, and environmental factors enabling hybrid Edge-Cloud adoption. Using a structured narrative review, the research synthesizes evidence on how distributed intelligence architectures reshape project agility, responsiveness, and lifecycle automation. Beyond synthesis, the paper introduces a novel Dual-Loop Edge-Cloud Governance Framework. This domain-specific conceptual model formalizes two complementary governance cycles: an Operational Loop at the edge, supporting real-time, autonomous project execution and local decision-making; and a Strategic Loop in the cloud, driving organizational learning, policy refinement, and global consistency. This framework provides essential theoretical and practical guidance for project leaders seeking to manage the inherent complexity and conflicting demands of hybrid AI systems, ensuring both rapid project responsiveness and long-term organizational alignment and accountability.
References
T. H.-K. Yu, & K.-H. Huarng, “Causal analysis of SDG achievements,” Technological Forecasting and Social Change, vol. 198, 122977, 2024. https://doi.org/10.1016/j.techfore.2023.122977.
S. Maslovskyi and A. Sachenko, "Adaptive test system of student knowledge based on neural networks," 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Warsaw, Poland, 2015, pp. 940-944, https://doi.org/10.1109/IDAACS.2015.7341442.
S. Bushuyev, I. Chumachenko, A. Galkin, D. Bushuiev, & N. Dotsenko, “Sustainable development projects implementing in BANI environment based on AI tools,” Sustainability, vol. 17, issue 6, 2607, 2025. https://doi.org/10.3390/su17062607.
S. E. Bibri, J. Krogstie, “Smart sustainable cities of the future: An extensive interdisciplinary literature review,” Sustainable Cities and Society, vol. 31, pp. 183–212, 2027. https://doi.org/10.1016/j.scs.2017.02.016.
Z. Allam, Z. A. Dhunny, “On big data, artificial intelligence and smart cities,” Cities, vol. 89, pp. 80–91, 2019. https://doi.org/10.1016/j.cities.2019.01.032.
Y. Song, C. Du, P. Du, R. Liu, & Z. Lu, “Digital transformation and corporate environmental performance: Evidence from Chinese listed companies,” Technological Forecasting and Social Change, vol. 201, 123159, 2024. https://doi.org/10.1016/j.techfore.2023.123159.
M. Mohammadi, A. Al-Fuqaha, S. Sorour, & M. Guizani, “Deep learning for IoT big data and streaming analytics,” IEEE Communications Surveys & Tutorials, vol. 20, issue 4, pp. 2923–2960, 2018. https://doi.org/10.1109/COMST.2018.2844341.
T. Taleb, K. Samdanis, B. Mada, H. Flinck, S. Dutta, & D. Sabella, “On multi-access edge computing,” IEEE Communications Surveys & Tutorials, vol. 19, issue 3, pp. 1657–1681, 2017. https://doi.org/10.1109/COMST.2017.2705720.
S. Escolar, F. Rincón, J. Barba, J. Caba, J. A. de la Torre, J. C. López, & C. Bravo, “A methodological approach for the smartification of a university campus: The smart ESI use case,” Buildings, vol. 13, issue 10, 2568, 2023. https://doi.org/10.3390/buildings13102568.
B. Wei, Y. Zhuo, H. Zeng, H. Hong, & H. Liu, “Determinants of university students’ attitudes towards smart devices in the smart campus environment,” Humanities and Social Sciences Communications, vol. 12, issue 1, 2025. https://doi.org/10.1057/s41599-025-05853-1.
J. Holguin-Alvarez, & J. Apaza-Quispe, “Evaluating the impact of digital dance competitions on university students’ digital competence amidst COVID-19,” Contemporary Educational Technology, vol. 16, issue 4, ep524, 2024. https://doi.org/10.30935/cedtech/14989.
C.-T. Chiang, “A systematic literature network analysis of green information technology for sustainability: Toward smart and sustainable livelihoods,” Technological Forecasting and Social Change, vol. 199, 123053, 2024. https://doi.org/10.1016/j.techfore.2023.123053.
G. George, R. K. Merrill, & S. J. D. Schillebeeckx, “Digital sustainability and entrepreneurship: How digital innovations are helping tackle climate change and sustainable development,” Entrepreneurship Theory and Practice, 2020. https://doi.org/10.1177/1042258719899425.
A. A. Guenduez, R. Frischknecht, S. C. J. Frowein, & K. Schedler, “Government-university collaboration on smart city and smart government projects: What are the success factors?,” Cities, vol. 144, 104648, 2024. https://doi.org/10.1016/j.cities.2023.104648.
A. I. Canhoto, S. Quinton, P. Jackson, & S. Dibb, “The co-production of value in digital, university–industry R&D collaborative projects,” Industrial Marketing Management, vol. 56, pp. 86–96, 2016. https://doi.org/10.1016/j.indmarman.2016.03.010.
A. Al-Ashaab, M. Flores, A. Doultsinou, & A. Magyar, “A balanced scorecard for measuring the impact of industry–university collaboration,” Production Planning &Control, vol. 22, issues 5–6, pp. 554–570, 2011. https://doi.org/10.1080/09537287.2010.536626.
W. Van der Aalst, Process Mining: Data Science in Action, 2nd ed., Springer, 2016. https://doi.org/10.1007/978-3-662-49851-4.
T. Biswas, F. S. Ferdous, Z. T. Pritee, A. I. Jony, “ScrumSpiral: An improved hybrid software development model,” International Journal of Information Technology and Computer Science, vol. 16, issue 2, pp. 57–65, 2024. https://doi.org/10.5815/ijitcs.2024.02.05.
O. Dunets, C. Wolff, A. Sachenko, G. Hladiy, & I. Dobrotvor, “Multi-agent system of IT project planning,” Proceedings of the 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2017, pp. 548–552. https://doi.org/10.1109/IDAACS.2017.8095141.
V. Domanskyi, C. Wolff, A. Sachenko, A. Badasian, “A hybrid method for managing agile team in a distributed environment,” Proceedings of the 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021, pp. 247–251. https://doi.org/10.1109/IDAACS53288.2021.9660882.
A. Zakiah, A. S. Prihatmanto, D. Mahayana, R. Andrea, “The philosophy of smart learning using the approach Thomas Kuhn paradigm shift,” International Journal of Information Engineering and Electronic Business, vol. 16, issue 1, pp. 54–62, 2024. https://doi.org/10.5815/ijieeb.2024.01.05.
A. J. Dal Forno, L. M. Bauler, S. S. S. Soares, M. L. M. R. Sayão, “Indicator automation with power BI in the innovation sector of a transformer company,” International Journal of Information Engineering and Electronic Business, vol. 16, issue 4, pp. 16–27, 2024. https://doi.org/10.5815/ijieeb.2024.04.02.
Y. K. Dwivedi, D. L. Hughes, et al., “Artificial intelligence: Multidisciplinary perspectives,” International Journal of Information Management, vol. 57, 101994, 2021. https://doi.org/10.1016/j.ijinfomgt.2019.08.002.
M.-T. Mendez-Picazo, M.-A. Galindo-Martin, & R.-S. Perez-Pujol, “Direct and indirect effects of digital transformation on sustainable development in pre- and post-pandemic periods,” Technological Forecasting and Social Change, vol. 200, 123139, 2024. https://doi.org/10.1016/j.techfore.2023.123139.
S. Bushuyev, A. Ivko, “Values spiral development method in the implementation of digitalization projects in syncretic methodology,” International Journal of Computing, vol. 23, issue 2, pp. 177-186, 2024. https://doi.org/10.47839/ijc.23.2.3535.
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