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No. 5 (2025)
Marketing

Articles

THEORETICAL AND METHODOLOGICAL FOUNDATIONS OF THE MANAGEMENT SYSTEM OF HIGHER EDUCATIONAL INSTITUTIONS

Published 2025-05-31

Authors
Бадалова Лола Борисовна
Affiliation
Basic doctoral student Tashkent State Economic University
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Abstract

The article examines the theoretical and methodological foundations of the management system of higher education institutions. An analysis of the main management approaches applicable to the modern model of the university is carried out. The key principles and management tools corresponding to the conditions of digitalization, globalization and growing competition in the educational market are highlighted. The necessity of transition to a hybrid management model combining elements of acade mic autonomy, mark et orientation and network logic is substantiated.

Keywords

management, higher education, theoretical approaches, methodology, university, strategy, digitalization

References

  1. Lex.uz. (2019). O мерах по дальнейшему совершенствованию системы управления высшими образовательными учреждениями и повышению качества подготовки специалистов: Указ Президента Республики Узбекистан № УП -5847 от 8 октября 2019 года. https://lex.uz/docs/4545884
  2. Sikander, M. Y ., Mahmood, F., Shafiq, M. Z., Umer, M., & Qureshi, M. I. (2019). Total quality management in higher education: A systematic literature review. Quality Assurance in Education, 27(2), 194 –217. https://doi.org/10.1108/QAE -10- 2017 -0058
  3. Srivastava, S. (2023). Quality management research in higher education: A bibliometric analysis. The TQM Journal. https://doi.org/10.1108/TQM -05-2023 -0154
  4. Phan, D., Dat, P. Q., Nguyen, N. P., Nguyen, T. T., Nguyen, H. H., & Ho, T. B. (2022). Learning management system: A bibliometric analysis. Education and Information Technologies, 27(4), 5577 –5602. https://doi.org/10.1007/s10639 -021- 10745 -8
  5. Mohd Kasim, N. S. B., & Khalid, F. (2016). A systematic review of learning management systems characteristics in higher education: Moodle, ATutor, Blackboard, and SuccessFactors. Telematics and Informatics, 33(2), 525 –535. https://doi.org/10.1016/j.tele.2015.12.001
  6. Otto, S., Overgaard Markman, A., & Svarre, T. (2024). Critical success factors for Learning Management Systems in higher education: A literature review. Proceedings of the International Conference on Networked Learning, 13. https://doi.org/10.54337/nlc.v13.8501
  7. Luckin, R. (2018). Machine learning and human intelligence: The future of education for the 21st century. UCL IOE Press.
  8. Holmes, W., Bialik, M., & Fadel, C. (2021). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
  9. Baker, R. S. J. D. (2010). Data mining for education. In International encyclopedia of education (7th ed., pp. 112 –118). Elsevier. https://doi.org/10.1016/B978 -0-08-044894 -7.00780 -6
  10. EDUCAUSE. (2024). 2024 EDUCAUSE Horizon Report: Teaching and Learning Edition. EDUCAUSE. Retrieved from https://library.educause.edu/
  11. Siemens, G. (2011). Learning analytics: Envisioning a research discipline and a domain of practice. In Proceedings of the 1st International Conference on Learning Analytics and Knowledge (LAK '11) (pp. 4 –8). https://doi.org/10.1145/2090116.2090119

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