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

Zur Langanzeige

Seitenaufrufe

3
Letzte Woche
0
Letzter Monat
0
geprüft am 14.05.2024

Google ScholarTM

Prüfen