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Analyzing the impact of reputational bias on global university rankings based on objective research performance data: the case of the Shanghai Ranking (ARWU)

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  • Vicente Safón

    (University of Valencia)

  • Domingo Docampo

    (University of Vigo)

Abstract

This paper analyzes the potential impact of reputational bias on academic classifications based upon current research performance measures. Empirical evidence supports the existence of a noticeable effect of reputational bias in the Academic Ranking of World Universities (ARWU), informally known as the Shanghai Ranking. Despite using reliable, objective data, the results of the ranking are partially contaminated by the halo effect that pervades peer review processes and citation practices behind two of ARWU’s main indicators: highly cited researchers (HiCi), and papers published in Nature and Science (N&S). ARWU results may contribute to reinforcing reputational bias through a vicious feedback loop. The study describes a method for quantifying the bias present in the aforementioned indicators. Our findings reveal that bias exists in N&S but not in HiCi, and that while it benefits top universities and Japanese universities, it stifles Australian counterparts. The paper paves the way for a new, interesting debate that will require future research to identify and cope with shortcomings derived from the impact of reputational bias in journal procedures both when evaluating and accepting manuscripts, as well as in the methodology of global university rankings.

Suggested Citation

  • Vicente Safón & Domingo Docampo, 2020. "Analyzing the impact of reputational bias on global university rankings based on objective research performance data: the case of the Shanghai Ranking (ARWU)," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2199-2227, December.
    • Handle: RePEc:spr:scient:v:125:y:2020:i:3:d:10.1007_s11192-020-03722-z
    DOI: 10.1007/s11192-020-03722-z
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    Cited by:

    1. Elena De la Poza & Paloma Merello & Antonio Barberá & Alberto Celani, 2021. "Universities’ Reporting on SDGs: Using THE Impact Rankings to Model and Measure Their Contribution to Sustainability," Sustainability, MDPI, vol. 13(4), pages 1-28, February.
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    3. Sergey N. Kukushkin & Aleksei V. Bogoviz & Yuliya V. Chutcheva & Larisa S. Korobeinikova & Svetlana V. Lobova, 2024. "Target SAP-LAP Model for Sustainable Development of Russian Universities in the Decade of Science and Technology," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 25(1), pages 123-138, September.

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    More about this item

    Keywords

    ARWU; Ranking; University; Reputation; Regression;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

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