INTEGRATING AI INTO STRATEGIC MANAGEMENT IN HIGHER EDUCATION INSTITUTIONS

QS Quacquarelli Symonds. (2025). QS World University Rankings: Lens and indicator weightings; data collection

period for the 2026 cycle.

Times Higher Education. (2025). World University Rankings 2026 methodology (PDF): metric definitions and

weightings of 18 metrics.

QS Quacquarelli Symonds. (2025). Processing of citations and papers (QS): paper-count and citation-count windows

for QS indicators.

National Statistics Committee of the Republic of Uzbekistan. (2025). Higher education in the Republic of Uzbekistan

(Press release; 2024/2025 academic year): HEI count and student enrollment trends.

President of the Republic of Uzbekistan. (2019). Decree DP‑5847 (08.10.2019): On approval of the Concept for the

development of the higher education system of the Republic of Uzbekistan until 2030. URL: https://lex.uz/docs/6971334

Government portal of the Republic of Uzbekistan (Ministry of Higher Education, Science and Innovation). (2023). edu.

uz digital ecosystem planned for 2025; intersystem integration and DATAHUB direction.

President of the Republic of Uzbekistan. (2024). Resolution № RP-358 (14.10.2024): On the approval of the Strategy

for the Development of Artificial Intelligence Technologies until 2030. URL: https://lex.uz/docs/7159258

Law of the Republic of Uzbekistan. (2019). LRU‑547 (02.07.2019): On personal data. URL: https://lex.uz/docs/4831939

Law of the Republic of Uzbekistan. (2026). ZRU‑1115 (21.01.2026): On making additions and changes to certain

legislative acts of the Republic of Uzbekistan in connection with the regulation of relations arising from the use of

artificial intelligence. URL: https://lex.uz/uz/docs/8011930

Government portal of the Republic of Uzbekistan. (2026). Liability established for illegal processing of personal data

using AI; prohibition on relying solely on AI for legally significant decisions affecting rights/freedoms.

Csaszar, F. A., Ketkar, H., & Kim, H. (2024). Artificial Intelligence and Strategic Decision-Making: Evidence from

Entrepreneurs and Investors. Strategy Science, 9(4), 322–345. doi:10.1287/stsc.2024.0190.

Raisch, S., & Krakowski, S. (2021). Artificial Intelligence and Management: The Automation–Augmentation Paradox.

Academy of Management Review. (Repository version).

Shrestha, Y. R., Ben-Menahem, S. M., & von Krogh, G. (2019). Organizational Decision-Making Structures in the Age

of Artificial Intelligence. California Management Review, 61(4), 66–83. doi:10.1177/0008125619862257.

Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision

making. Business Horizons, 61(4), 577–586. doi:10.1016/j.bushor.2018.03.007.

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial

intelligence applications in higher education—where are the educators? International Journal of Educational

Technology in Higher Education, 16(39).

Hashim, M. A. M., et al. (2021). Higher education strategy in digital transformation (open-access version). Education

and Information Technologies.

Menon, M. E., et al. (2026). The Process and Effectiveness of Strategic Planning in Higher Education: Evidence from

five European countries (Wiley version). European Journal of Education.

QS Quacquarelli Symonds. (2026). International Research Network (Indicator): definition, sustained partnership

threshold, data source, and IRN formula.

QS Quacquarelli Symonds. (2026). QS World University Rankings: Sustainability methodology (categories, lenses,

indicator weights used in QS Sustainability Rankings).

Georgia State University. (n.d.). Approaching Student Success With Predictive Analytics (official outcomes reported,

including graduation-rate gains).

University of Central Florida. (2024). 2024 Accountability Plan (BOG approved): predictive analytics, ML retention/

graduation algorithms, and reported outcome trends.

Manchester Metropolitan University. (2024). Annual Report and Financial Statements 2024: enhanced student

engagement dashboard using predictive analytics.

Wolff, A., Zdrahal, Z., Nikolov, A., & Pantucek, M. (2013). Improving retention: predicting at-risk students by analysing

clicking behaviour in a virtual learning environment (conference paper; Open University repository).

Herodotou, C., Rienties, B., Boroowa, A., Zdrahal, Z., & Hlosta, M. (2019). A large-scale implementation of predictive

learning analytics in higher education: the teachers’ role and perspective. Educational Technology Research and

Development, 67, 1273–1306. doi:10.1007/s11423-019-09685-0.

Hong Kong University of Science and Technology Library. (2026). Beyond the Count: Is Your Research Truly Global?

(institutional discussion linked to QS IRN assessment period and network diversity).

García-Aranda, C., Martínez-Cuevas, S., Torres, Y., & Pedrote Sanz, M. (2024). A Digital Twin of a University Campus

from an Urban Sustainability Approach: Case Study in Madrid (Spain). Urban Science, 8(4), 167. doi:10.3390/

urbansci8040167