What does U-multirank tell us about knowledge transfer and research?

Juan Dip

Scientometrics, 2021, vol. 126, issue 4, No 13, 3039 pages

Abstract: Abstract The economic and social need to spread knowledge between universities and industry has become increasingly evident in recent years. This paper presents a ranking based partly on research and knowledge transfer indicators from U-multirank data but using data-driven weights. The choice of specific weights and the comparison between ranks remain a sensitive topic. A restricted version of the benefit of the doubt method is implemented to build a new university ranking that includes an endogenous weighting scheme. Furthermore, a novel procedure is presented to compare the principal method with U-multirank. At the best of my knowledge, the U-multirank data set has been unapplied to achieve alternative rankings that include research and knowledge transfers dimensions. A significant result arises from the benefit of the doubt: the highest importance weight is assigned to the co-publications with industrial partners and interdisciplinary publication indicators. This paper fills a bit of the existing gap on the role of co-publications with industrial partners in the university efficiency around the world.

Keywords: Knowledge transfer; U-multirank; Benefit of the doubt; University rankings (search for similar items in EconPapers)
JEL-codes: C14 I23 L20 O30 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11192-020-03838-2

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