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The F-measure for Research Priority

Ronald Rousseau

Ronald Rousseau

  • University of Antwerp, Faculty of Social SciencesAntwerp, Belgium
  • KU Leuven Facultair Onderzoekscentrum ECOOMLeuven, Belgium
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Rousseau, Ronald
  
13. März 2018
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Artikel-Kategorie: Research Paper
Online veröffentlicht: 13. März 2018
Seitenbereich: 1 - 18
Eingereicht: 01. Nov. 2017
Akzeptiert: 25. Dez. 2017
DOI: https://doi.org/10.2478/jdis-2018-0001
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© 2018 Walter de Gruyter GmbH, Berlin/Boston
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Purpose

In this contribution we continue our investigations related to the activity index (AI) and its formal analogs. We try to replace the AI by an indicator which is better suited for policy applications.

Design/methodology/approach

We point out that fluctuations in the value of the AI for a given country and domain are never the result of that country’s policy with respect to that domain alone because there are exogenous factors at play. For this reason we introduce the F-measure. This F-measure is nothing but the harmonic mean of the country’s share in the world’s publication output in the given domain and the given domain’s share in the country’s publication output.

Findings

The F-measure does not suffer from the problems the AI does.

Research limitations

The indicator is not yet fully tested in real cases.

R&D policy management

In policy considerations, the AI should better be replaced by the F-measure as this measure can better show the results of science policy measures (which the AI cannot as it depends on exogenous factors).

Originality/value

We provide an original solution for a problem that is not fully realized by policy makers.

Sprache:
Englisch
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Informatik, Informationstechnik, Projektmanagement, Datanbanken und Data Mining
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