IDEAS home Printed from https://ideas.repec.org/a/gam/jecomi/v10y2022i9p209-d902190.html
   My bibliography  Save this article

University Rankings and Goals: A Cluster Analysis

Author

Listed:
  • Roba Elbawab

    (BRU-IUL, Instituto Universitário de Lisboa (ISCTE-IUL), Avenida das Forças Armadas, Edificio ISCTE, 1649-026 Lisbon, Portugal)

Abstract

Nowadays, university rankings are used to assess all aspects of universities. Due to the impact of university rankings on assessing the performance of universities, this research aims to explore university rankings in depth. University rankings are considered contributors to assessing university performance. Previous literature showed different types of goals, such as output and support goals, where the literature advised to align between these two types of goals. Universities have different goals, but still, university rankings measure all universities on the same criteria. Subsequently, this research has used the most used university rankings in the literature, QS world ranking dataset. Then unsupervised machine learning was performed to cluster the universities. The results divided universities among four clusters. This study helps in allocating the university in the adequate cluster. This study helps university managers define the goals of their universities. The study recommends universities align their support goals with their output goals. The study recommends universities to develop international goals and strategies, and support the research in the universities by supporting the scholars. This study’s novelty lies in connecting the university rankings and goals using management analytics in education.

Suggested Citation

  • Roba Elbawab, 2022. "University Rankings and Goals: A Cluster Analysis," Economies, MDPI, vol. 10(9), pages 1-34, August.
    • Handle: RePEc:gam:jecomi:v:10:y:2022:i:9:p:209-:d:902190
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7099/10/9/209/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7099/10/9/209/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Maria Adamakou & Dimitris Kallioras & George Petrakos, 2021. "Detecting Convergence Trends among EU Universities," Economies, MDPI, vol. 9(2), pages 1-8, March.
    2. Qi Chen & Wen Luo & Gregory J. Palardy & Ryan Glaman & Amber McEnturff, 2017. "The Efficacy of Common Fit Indices for Enumerating Classes in Growth Mixture Models When Nested Data Structure Is Ignored," SAGE Open, , vol. 7(1), pages 21582440177, March.
    3. Xin Gu & Karen L. Blackmore, 2019. "Developing a scholar classification scheme from publication patterns in academic science: A cluster analysis approach," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(11), pages 1262-1276, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Otrachshenko, Vladimir & Tyurina, Elena & Nagapetyan, Artur, 2022. "The economic value of the Glass Beach: Contingent valuation and life satisfaction approaches," Ecological Economics, Elsevier, vol. 198(C).
    2. Jun-Hong Chen & Chi-Fang Wu & Minchao Jin, 2023. "How are Income and Assets Associated with Food Insecurity? An Application of the Growth Mixture Modeling," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(3), pages 959-973, February.
    3. Adolfo Meisel Rocs & Angela Granger Serrrano, 2022. "Estratificación territorial en la calidad de la educación superior en Colombia," Coyuntura Económica, Fedesarrollo, vol. 52, pages 11-34, December.
    4. Ao, Weiyi & Lyu, Dongqing & Ruan, Xuanmin & Li, Jiang & Cheng, Ying, 2023. "Scientific creativity patterns in scholars’ academic careers: Evidence from PubMed," Journal of Informetrics, Elsevier, vol. 17(4).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jecomi:v:10:y:2022:i:9:p:209-:d:902190. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.