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.
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Thanks to U-multirank consortium for generously providing the official database for this academic paper. I want to thank the anonymous referees for their valuable comments which helped to improve the manuscript.
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The author declares that he has no conflict of interest.
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Dip, J.A. What does U-multirank tell us about knowledge transfer and research?. Scientometrics (2021). https://doi.org/10.1007/s11192-020-03838-2
- Knowledge transfer
- Benefit of the doubt
- University rankings