Some major concerns of universities are to provide quality in higher education and enhance global competitiveness, thus ensuring a high global rank and an excellent performance evaluation. This article examines the Quacquarelli Symonds (QS) World University Ranking methodology, pointing to a drawback of using subjective, possibly biased, weightings to build a composite indicator (QS scores). We propose an alternative approach to creating QS scores, which is referred to as the composite I-distance indicator (CIDI) methodology. The main contribution is the proposal of a composite indicator weights correction based on the CIDI methodology. It leads to the improved stability and reduced uncertainty of the QS ranking system. The CIDI methodology is also applicable to other university rankings by proposing a specific statistical approach to creating a composite indicator."> Some major concerns of universities are to provide quality in higher education and enhance global competitiveness, thus ensuring a high global rank and an excellent performance evaluation. This article examines the Quacquarelli Symonds (QS) World University Ranking methodology, pointing to a drawback of using subjective, possibly biased, weightings to build a composite indicator (QS scores). We propose an alternative approach to creating QS scores, which is referred to as the composite I-distance indicator (CIDI) methodology. The main contribution is the proposal of a composite indicator weights correction based on the CIDI methodology. It leads to the improved stability and reduced uncertainty of the QS ranking system. The CIDI methodology is also applicable to other university rankings by proposing a specific statistical approach to creating a composite indicator."> Some major concerns of universities are to provide quality in higher education and enhance global competitiveness, thus ensuring a high global rank and an excellent performance">
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A new approach to the QS university ranking using the composite I-distance indicator: Uncertainty and sensitivity analyses

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  • Marina Dobrota
  • Milica Bulajic
  • Lutz Bornmann
  • Veljko Jeremic
Abstract
type="main"> Some major concerns of universities are to provide quality in higher education and enhance global competitiveness, thus ensuring a high global rank and an excellent performance evaluation. This article examines the Quacquarelli Symonds (QS) World University Ranking methodology, pointing to a drawback of using subjective, possibly biased, weightings to build a composite indicator (QS scores). We propose an alternative approach to creating QS scores, which is referred to as the composite I-distance indicator (CIDI) methodology. The main contribution is the proposal of a composite indicator weights correction based on the CIDI methodology. It leads to the improved stability and reduced uncertainty of the QS ranking system. The CIDI methodology is also applicable to other university rankings by proposing a specific statistical approach to creating a composite indicator.

Suggested Citation

  • Marina Dobrota & Milica Bulajic & Lutz Bornmann & Veljko Jeremic, 2016. "A new approach to the QS university ranking using the composite I-distance indicator: Uncertainty and sensitivity analyses," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(1), pages 200-211, January.
    • Handle: RePEc:bla:jinfst:v:67:y:2016:i:1:p:200-211
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    Cited by:

    1. Olga Bogdanov & Veljko Jeremiæ & Sandra Jednak & Mladen Èudanov, 2019. "Scrutinizing the Smart City Index: a multivariate statistical approach," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 37(2), pages 777-799.
    2. Maričić Milica & Bulajić Milica & Radojičić Zoran & Jeremić Veljko, 2016. "Multivariate approach to imposing additional constraints on the Benefit-of-the-Doubt model: The case of QS World University Rankings by Subject," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 2(1), pages 1-14, September.
    3. Sylvia Novillo-Villegas & Ricardo Ayala-Andrade & Juan Pablo Lopez-Cox & Javier Salazar-Oyaneder & Patricia Acosta-Vargas, 2022. "A Roadmap for Innovation Capacity in Developing Countries," Sustainability, MDPI, vol. 14(11), pages 1-20, May.
    4. Milica Maricic & Jose A. Egea & Veljko Jeremic, 2019. "A Hybrid Enhanced Scatter Search—Composite I-Distance Indicator (eSS-CIDI) Optimization Approach for Determining Weights Within Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 497-537, July.
    5. Hongwei Li & Dongyang Ma & Wei Cui & Min Tao & Jiahui Zhang, 2023. "The Evaluation of Comprehensive Teaching and Research Efficiency and Its Key Influencing Factors Analysis of “Double First-Class” Universities in China," Sustainability, MDPI, vol. 15(2), pages 1-14, January.
    6. Maričić Milica & Bulajić Milica & Radojičić Zoran & Jeremić Veljko, 2019. "Shedding Light on the Doing Business Index: a Machine Learning Approach," Business Systems Research, Sciendo, vol. 10(2), pages 73-84, September.
    7. Feiheng Luo & Aixin Sun & Mojisola Erdt & Aravind Sesagiri Raamkumar & Yin-Leng Theng, 2018. "Exploring prestigious citations sourced from top universities in bibliometrics and altmetrics: a case study in the computer science discipline," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 1-17, January.
    8. Nela Miloševiæ & Marina Dobrota & Slaðana Barjaktaroviæ Rakoèeviæ, 2018. "EU enlargement: Digital economy in Europe: Evaluation of countries’ performances," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 36(2), pages 861-880.
    9. Muhammad Asif Qureshi & Syed Mir Muhammad Shah & Manzoor Ali Mirani & Hamzo Khan Tagar, 2017. "Towards an Understanding of Expatriate Job Performance: A Conceptual Paper," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(9), pages 320-332, September.
    10. Wei-Chao Lin & Ching Chen, 2021. "Novel World University Rankings Combining Academic, Environmental and Resource Indicators," Sustainability, MDPI, vol. 13(24), pages 1-15, December.
    11. Teng Lin & Yuanyue He, 2019. "Does Bilingual Instruction Impact Students’ Academic Performance in Content-Based Learning? Evidence from Business School Students Attending Bilingual and L1 Courses," Sustainability, MDPI, vol. 11(1), pages 1-18, January.
    12. Sylvia Novillo-Villegas & Patricia Acosta-Vargas & Christian Cruz-Boada & Mateo Garzon & Andre Marin-Dett & Wendy Anzules-Falcones, 2022. "Sustaining the Path for Innovation Capability from a Developing Country Perspective: A Conceptual Framework," Sustainability, MDPI, vol. 14(19), pages 1-26, October.
    13. A. Ferrer-Sapena & E. Erdogan & E Jiménez-Fernández & E. A. Sánchez-Pérez & F. Peset, 2020. "Self-defined information indices: application to the case of university rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2443-2456, September.
    14. Zornić, Nikola & Dobrota, Marina & Jeremić, Veljko, 2016. "Measuring the Stability of University Rankings in the Field of Education," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2016), Rovinj, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 8-9 September 2016, pages 294-301, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    15. Xiaomei Bai & Fuli Zhang & Jinzhou Li & Zhong Xu & Zeeshan Patoli & Ivan Lee, 2021. "Quantifying scientific collaboration impact by exploiting collaboration-citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7993-8008, September.
    16. Berde Éva & Kuncz Izabella, 2019. "Active Ageing Index, New Emphasis Within the Same Methodology. The Role of the Internet," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 29(4), pages 1-20, December.

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