Page 120 - Journal of Library Science in China 2020 Vol.46
P. 120

Shelia X. WEI, Ronda J. ZHANG, Howell Y. WANG, CAO CONG & Fred Y. YE /   119
                                Rankings never really quantify contributions: A quantitative and qualitative study on universities and their libraries


               Table 1. Three simple synthetic criterion systems: Designed indicators and weights
                                             Overall Score T=0.50A+0.50B
                                Criterion                              Different indicator weights
                   Criterion                      Indicator
                                weight                               S1        S2        S3
                                                Papers in ESI       0.20      0.30      0.10
                   Quantity      0.50          Papers in nature     0.40      0.35      0.45
                      (A)
                                               Papers in science    0.40      0.35      0.45
                                            Highly cited papers in ESI  0.30  0.35      0.25
                 Contribution (B)  0.50        Citations in ESI     0.30      0.35      0.25
                                               Nobel Laureates      0.40      0.30      0.50


                 However, the contribution (B) in Table 1 is only false appearance, where most indicators
               represent quantitative statistics, not real academic or knowledge contributions. Meanwhile,
               research has shown that assigning different weights to the same indicators could lead to
               different ranking outcomes. Dehon, Mccathie, & Verardi (2010) show such changes in the top
               10 universities and some European universities, and Saisana’s research (Saisana, d’Hombres, &

               Saltelli, 2011) includes the combination changes of weights, normalization rule, and the number of
               indicators, both of which indicate that the top universities are less affected by the changes and that
               most universities’ rankings fluctuate greatly. We try to present the mechanism based on a single
               aspect (weight) change. Figure 1 provides a mechanism of different rankings, where we compute
               different synthetic criteria (S) according to different design criterion systems (S1, S2 and S3) that
               consist of a few indictors with variable weights. Supposing S1 gives a linear result, S2 and S3 will
               be non-linear fluctuation around S1. Consequently, a university (Ui) could be located in different
               positions given different Sj as Rj, so that its ranking position could change in different systems.
               Except for the top one institution, others’ rankings are changeable. Farther the original point left
               away, larger the differences would exist.






















                               Figure 1. A ranking mechanism diagram in different criterion systems
   115   116   117   118   119   120   121   122   123   124   125