2015
DOI: 10.7717/peerj.1217
|View full text |Cite
|
Sign up to set email alerts
|

Inconsistent year-to-year fluctuations limit the conclusiveness of global higher education rankings for university management

Abstract: Backround. University rankings are getting very high international media attention, this holds particularly true for the Times Higher Education Ranking (THE) and the Shanghai Jiao Tong University’s Academic Ranking of World Universities Ranking (ARWU). We therefore aimed to investigate how reliable the rankings are, especially for universities with lower ranking positions, that often show inconclusive year-to-year fluctuations in their rank, and if these rankings are thus a suitable basis for management purpos… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
9
0
1

Year Published

2017
2017
2020
2020

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 11 publications
(12 citation statements)
references
References 26 publications
2
9
0
1
Order By: Relevance
“…For example, when ≥ 10 −1 , the conditional centrality of Georgia Tech at times t and t+1 are typically very dissimilar, which appears to be a consistent property of conditional node-layer centralities in the limit → ∞. It is our believe that the highly volatile rankings for large do not appropriately describe the dynamics of department prestige [115]; this observation has motivated us to focus on the small (i.e., strong coupling) regime in this paper. The limiting cases → 0 + and → ∞, respectively, do a good job of describing regimes with very small and very large , but the intermediate ("transitional") regime between these extremes is not straightforward to interpret.…”
Section: Mgp: Somementioning
confidence: 93%
See 2 more Smart Citations
“…For example, when ≥ 10 −1 , the conditional centrality of Georgia Tech at times t and t+1 are typically very dissimilar, which appears to be a consistent property of conditional node-layer centralities in the limit → ∞. It is our believe that the highly volatile rankings for large do not appropriately describe the dynamics of department prestige [115]; this observation has motivated us to focus on the small (i.e., strong coupling) regime in this paper. The limiting cases → 0 + and → ∞, respectively, do a good job of describing regimes with very small and very large , but the intermediate ("transitional") regime between these extremes is not straightforward to interpret.…”
Section: Mgp: Somementioning
confidence: 93%
“…As increases, we found a transition, which we observed in two ways: the joint centrality localizes to just a few layers, and the conditional centrality begins to exhibit large fluctuations from one time layer to the next (i.e., trajectories no longer vary slowly). We believe this weak-coupling regime to be inappropriate for the MGP Ph.D. exchange network, as mathematics department prestige should not fluctuate wildly from one year to the next [115]. Instead, it should change on a slower time scale.…”
Section: Mgp: Pagerank Centralitymentioning
confidence: 99%
See 1 more Smart Citation
“…Researchers have paid attention to inconsistent year-to-year fluctuations limit in global higher education rankings for respective university management and researchers have suggested their findings for deeper use for university management and decision making (Sorz J., Wallner B., Seidler H., Fieder M., 2015). Researchers have analysed often asked questions on global university rankings correspondence to reality and respective consequences (Luca M., Smith J., 2013).…”
Section: Research Results and Discussionmentioning
confidence: 99%
“…Instead it is necessary to identify unique characteristics (what the University of Vienna in particular stands for) and to decide which research areas need to be emphasised. A research profile based on these reflections is a valuable component for the university's public image, for the correct adjustment of the self-perception, for resource decisions and benchmarking (Laudel and Weyer 2014;van Vught et al 2010). The challenge for Universities is to find the right balance between broadness and focus (Müller 2017).…”
Section: Background and Introductionmentioning
confidence: 99%