Construction of a model for the system that controls how educational institutions are provided with material resources in a multi-level management structure

Authors

DOI:

https://doi.org/10.15587/1729-4061.2026.356832

Keywords:

decision support system, multi-level management, educational infrastructure, resource planning

Abstract

This study investigates a system that provides educational institutions with material resources within a multi-level governance structure.

The task addressed relates to the lack of a hierarchical, risk-based model for assessing how educational institutions are provided with material resources that would allow for the aggregation of indicators at various management levels. Such a model should account for the standard equipment requirements, equipment operational risks, as well as the hierarchical aggregation of indicators at the educational institution, municipal, and regional levels.

The result of this work is the devised integrated resource provision indicator that takes into account the standard resource sufficiency, equipment depreciation, failure probability, as well as exceedance of the standard service life. A mechanism for aggregating indicators at the educational institution, municipal, and regional levels has been designed.

The model was tested using synthetic data. At the educational institution level, a significant differentiation in the resource provision index was observed, ranging from 0.492 to 0.782. At the municipal level, the lowest value was 0.580 due to the influence of the school with the lowest resource provision index. The regional index value was obtained at 0.663. Its decline was influenced by the uneven distribution of pupils across schools in the region and the significant risk of infrastructure degradation at one school.

The results have confirmed the model’s sensitivity to risk components and the capability to identify regional imbalances in provision. The model built can be used to monitor the state of educational infrastructure and support management decision-making

Author Biographies

Yelnar Utyubayev, Manash Kozybayev North Kazakhstan University

PhD Student

Department of Information and Communication Technologies

Anna Shaporeva, Manash Kozybayev North Kazakhstan University

PhD Student

Department of Information and Communication Technologies

References

  1. Uline, C., Tschannen‐Moran, M. (2008). The walls speak: the interplay of quality facilities, school climate, and student achievement. Journal of Educational Administration, 46 (1), 55–73. https://doi.org/10.1108/09578230810849817
  2. Barrett, P., Davies, F., Zhang, Y., Barrett, L. (2015). The impact of classroom design on pupils’ learning: Final results of a holistic, multi-level analysis. Building and Environment, 89, 118–133. https://doi.org/10.1016/j.buildenv.2015.02.013
  3. Kundelik. Available at: https://portal.kundelik.kz/ru/v2#about
  4. BILIMLand. Available at: https://bilimland.kz/ru?ysclid=mmq72jvug7642469036
  5. Li, D.-P., Cheng, S.-J., Cheng, P.-F., Wang, J.-Q., Zhang, H.-Y. (2018). A novel financial risk assessment model for companies based on heterogeneous information and aggregated historical data. PLOS ONE, 13 (12), e0208166. https://doi.org/10.1371/journal.pone.0208166
  6. Taheri, M., Sadegh Amalnick, M., Allah Taleizadeh, A., Mardan, E. (2023). A fuzzy programming model for optimizing the inventory management problem considering financial issues: A case study of the dairy industry. Expert Systems with Applications, 221, 119766. https://doi.org/10.1016/j.eswa.2023.119766
  7. Ojo, A., Rizun, N., Walsh, G., Mashinchi, M. I., Venosa, M., Rao, M. N. (2024). Prioritising national healthcare service issues from free text feedback – A computational text analysis & predictive modelling approach. Decision Support Systems, 181, 114215. https://doi.org/10.1016/j.dss.2024.114215
  8. Wei, X., Zhang, Y., Luo, X. (Robert). (2024). Modeling the evolution of collective overreaction in dynamic online product diffusion networks. Decision Support Systems, 181, 114232. https://doi.org/10.1016/j.dss.2024.114232
  9. Shevchuk, E. V. (2025). Designing the architecture of information and educational systems: integration approaches and standards. Vestnik of M. Kozybayev North Kazakhstan University, 3 (67), 206–213. https://doi.org/10.54596/2958-0048-2025-3-206-213
  10. Kopnova, O., Shaporeva, A., Iklassova, K., Kushumbayev, A., Tadzhigitov, A., Aitymova, A. (2022). Building an information analysis system within a corporate information system for combining and structuring organization data (on the example of a university). Eastern-European Journal of Enterprise Technologies, 6 (2 (120)), 20–29. https://doi.org/10.15587/1729-4061.2022.267893
  11. Zavadskas, E. K., Turskis, Z. (2011). Multiple criteria decision making (mcdm) methods in economics: an overview / daugiatiksliai sprendimų priėmimo metodai ekonomikoje: apžvalga. Technological and Economic Development of Economy, 17 (2), 397–427. https://doi.org/10.3846/20294913.2011.593291
  12. Liao, R., He, Y., Feng, T., Yang, X., Dai, W., Zhang, W. (2023). Mission reliability-driven risk-based predictive maintenance approach of multistate manufacturing system. Reliability Engineering & System Safety, 236, 109273. https://doi.org/10.1016/j.ress.2023.109273
  13. Zio, E. (2009). Reliability engineering: Old problems and new challenges. Reliability Engineering & System Safety, 94 (2), 125–141. https://doi.org/10.1016/j.ress.2008.06.002
  14. Iklassova, K., Aitymova, A., Kopnova, O., Shaporeva, A., Abildinova, G., Nurbekova, Z. et al. (2024). Ontology modeling for automation of questionnaire data processing. Eastern-European Journal of Enterprise Technologies, 5 (2 (131)), 36–52. https://doi.org/10.15587/1729-4061.2024.314129
  15. Iklassova, K. (2024). Towards the development of a decision-making system for indicative planning in higher education institutions. Vestnik of M. Kozybayev North Kazakhstan University, 4 (64), 204–212. https://doi.org/10.54596/2958-0048-2024-4-204-212
  16. Ruvinskaya, V., Troynina, A. (2017). Development of information technology for the generation and maintenance of knowledge–oriented control systems. Eastern-European Journal of Enterprise Technologies, 2 (2 (86)), 41–49. https://doi.org/10.15587/1729-4061.2017.98727
  17. Sharma, S., Chen, K., Sheth, A. (2018). Toward Practical Privacy-Preserving Analytics for IoT and Cloud-Based Healthcare Systems. IEEE Internet Computing, 22 (2), 42–51. https://doi.org/10.1109/mic.2018.112102519
Construction of a model for the system that controls how educational institutions are provided with material resources in a multi-level management structure

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Published

2026-04-30

How to Cite

Utyubayev, Y., & Shaporeva, A. (2026). Construction of a model for the system that controls how educational institutions are provided with material resources in a multi-level management structure. Eastern-European Journal of Enterprise Technologies, 2(3 (140), 27–36. https://doi.org/10.15587/1729-4061.2026.356832

Issue

Vol. 2 No. 3 (140) (2026): Control processes

Section

Control processes

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Copyright (c) 2026 Yelnar Utyubayev, Anna Shaporeva

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