Scientometrics
Volume/Issue:
Volume 85: Issue 3
To publish or not to publish? On the aggregation and drivers of research performance
Authors: Kristof De Witte and Nicky Rogge
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  • 1 TIER, Faculty of Economics and Business, Maastricht University, Kapoenstraat 2, 6200 MD Maastricht, the Netherlands
  • | 2 Faculty of Business and Economics, Katholieke Universiteit Leuven (KULeuven), Naamsestraat 69, 3000 Leuven, Belgium
  • | 3 Centre for Economics and Management (CEM), Hogeschool-Universiteit Brussel (HUBrussel), Stormstraat 2, 1000 Brussels, Belgium
Pages:
657–680
Online Publication Date:
07 Sep 2010
Publication Date:
01 Dec 2010
Article Category:
Research Article
DOI:
https://doi.org/10.1007/s11192-010-0286-5
Keywords:
Research performance; Data envelopment analysis; Conditional efficiency; Higher education; Composite indicator; C14; C25; I21
Open access

Abstract  

This paper presents a methodology to aggregate multidimensional research output. Using a tailored version of the non-parametric Data Envelopment Analysis model, we account for the large heterogeneity in research output and the individual researcher preferences by endogenously weighting the various output dimensions. The approach offers three important advantages compared to the traditional approaches: (1) flexibility in the aggregation of different research outputs into an overall evaluation score; (2) a reduction of the impact of measurement errors and a-typical observations; and (3) a correction for the influences of a wide variety of factors outside the evaluated researcher’s control. As a result, research evaluations are more effective representations of actual research performance. The methodology is illustrated on a data set of all faculty members at a large polytechnic university in Belgium. The sample includes questionnaire items on the motivation and perception of the researcher. This allows us to explore whether motivation and background characteristics (such as age, gender, retention, etc.,) of the researchers explain variations in measured research performance.

Cover Scientometrics
Scientometrics
Print ISSN:
0138-9130
Online ISSN:
1588-2861

Manuscript submission: http://www.editorialmanager.com/scim/

  • Impact Factor (2019): 2.867
  • Scimago Journal Rank (2019): 1.210
  • SJR Hirsch-Index (2019): 106
  • SJR Quartile Score (2019): Q1 Computer Science Apllications
  • SJR Quartile Score (2019): Q1 Library and Information Sciences
  • SJR Quartile Score (2019): Q1 Social Sciences (miscellaneous)
  • Impact Factor (2018): 2.770
  • Scimago Journal Rank (2018): 1.113
  • SJR Hirsch-Index (2018): 95
  • SJR Quartile Score (2018): Q1 Library and Information Sciences
  • SJR Quartile Score (2018): Q1 Social Sciences (miscellaneous)

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Scientometrics
Language English
Size B5
Year of
Foundation		 1978
Volumes
per Year		 4
Issues
per Year		 12
Founder Akadémiai Kiadó
Founder's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher		 Chief Executive Officer, Akadémiai Kiadó
ISSN 0138-9130 (Print)
ISSN 1588-2861 (Online)

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