Beschreibung:
<jats:p>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 <jats:styled-content style="fixed-case">Q</jats:styled-content>uacquarelli <jats:styled-content style="fixed-case">S</jats:styled-content>ymonds (<jats:styled-content style="fixed-case">QS</jats:styled-content>) <jats:styled-content style="fixed-case">W</jats:styled-content>orld <jats:styled-content style="fixed-case">U</jats:styled-content>niversity <jats:styled-content style="fixed-case">R</jats:styled-content>anking methodology, pointing to a drawback of using subjective, possibly biased, weightings to build a composite indicator (<jats:styled-content style="fixed-case">QS</jats:styled-content> scores). We propose an alternative approach to creating <jats:styled-content style="fixed-case">QS</jats:styled-content> scores, which is referred to as the composite <jats:styled-content style="fixed-case">I</jats:styled-content>‐distance indicator (<jats:styled-content style="fixed-case">CIDI</jats:styled-content>) methodology. The main contribution is the proposal of a composite indicator weights correction based on the <jats:styled-content style="fixed-case">CIDI</jats:styled-content> methodology. It leads to the improved stability and reduced uncertainty of the <jats:styled-content style="fixed-case">QS</jats:styled-content> ranking system. The <jats:styled-content style="fixed-case">CIDI</jats:styled-content> methodology is also applicable to other university rankings by proposing a specific statistical approach to creating a composite indicator.</jats:p>