World Universities Strategic Analysis Based on Data from the QS World University Rankings
Autor(en): | Bublyk, Myroslava Slava, Orest Vysotska, Victoria Kolyasa, Liubov Vlasenko, Olha |
Herausgeber: | Hovorushchenko, T. Savenko, O. Popov, P.T. Lysenko, S. |
Stichwörter: | Benchmarking; correlation analysis; Correlation methods; Data statistical analysis; Development strategies; Dynamic changes; Effective mechanisms; forecasting; information security; information technologies; QS world university ranking; QS World University Rankings; Security of data; smoothing; Smoothing methods; statistical analysis; strategic analysis; University ranking | Erscheinungsdatum: | 2023 | Herausgeber: | CEUR-WS | Journal: | CEUR Workshop Proceedings | Volumen: | 3373 | Startseite: | 354 – 375 | Zusammenfassung: | The article examines indicators of influence on the overall ranking of world universities based on QS World University Rankings data, statistical analysis, smoothing methods, correlation analysis and forecasting. We considered the dynamic change of the Lviv Polytechnic National University rating. The identified trends and regularities, problems and advantages should serve as prerequisites for the development strategy of the worldwide universities, taking into account which will allow the formation of effective mechanisms for the long term. A study of the activities of universities was carried out, which made it possible to systematically, comprehensively and objectively comply with the requirements of information security, among which the confidentiality, integrity and availability of information are key, to determine the level of their potential opportunities and to develop a set of strategic directions and measures that contribute to their strategic development in perspective. © 2023 Copyright for this paper by its authors. |
Beschreibung: | Cited by: 0; Conference name: 4th International Workshop on Intelligent Information Technologies and Systems of Information Security, IntellTSIS 2023; Conference date: 22 March 2023 through 24 March 2023; Conference code: 187915 |
ISSN: | 1613-0073 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85154054356&partnerID=40&md5=96d4100b25309ba1134d758337716c48 |
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