A ‘power law’ based method to reduce size-related bias in indicators of knowledge performance: An application to university research assessment

Armando Calabrese, Guendalina Capece, Roberta Costa, Francesca Di Pillo and Stefania Giuffrida

Journal of Informetrics, 2018, vol. 12, issue 4, 1263-1281

Abstract: The knowledge production provided by universities is essential to sustaining a country’s long-term economic growth and international competitiveness. Many nations are thus driving to create sustainable and effective funding environments. The evaluation of university knowledge, productivity and research quality becomes critical, with ever increasing share of public funding allocated on the basis of research assessment exercises. Nevertheless, the existing methods to assess the universities’ knowledge production are often affected by limits and biases, extensively discussed in the scientific literature.

Keywords: Knowledge performance; Research assessment; Research productivity indicators; Power laws; Dimensional bias; Scale-free property (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:12:y:2018:i:4:p:1263-1281

DOI: 10.1016/j.joi.2018.10.005

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