Change search
ReferencesLink to record
Permanent link

Direct link
Using multi-level frontiers in DEA models to grade countries/territories
KTH, School of Education and Communication in Engineering Science (ECE), Department for Library services, Language and ARC, Publication Infrastructure.ORCID iD: 0000-0003-0229-3073
Show others and affiliations
2016 (English)In: Journal of Informetrics, ISSN 1751-1577, E-ISSN 1875-5879, Vol. 10, no 1, 238-253 p.Article in journal (Refereed) PublishedText
Abstract [en]

Several investigations to and approaches for categorizing academic journals/institutions/countries into different grades have been published in the past. To the best of our knowledge, most existing grading methods use either a weighted sum of quantitative indicators (including the case of one properly defined quantitative indicator) or quantified peer review results. Performance measurement is an important issue of concern for science and technology (S&T) management. In this paper we address this issue, leading to multi-level frontiers resulting from data envelopment analysis (DEA) models to grade selected countries/territories. We use research funding and researchers as input indicators, and take papers, citations and patents as output indicators. Our research results show that using DEA frontiers we can unite countries/territories by different grades. These grades reflect the corresponding countries' levels of performance with respect to multiple inputs and outputs. Furthermore, we use papers, citations and patents as single output (with research funding and researchers as inputs), respectively, to show country/territory grade changes. In order to increase the insight in this approach, we also incorporate a simple value judgment (that the number of citations is more important than the number of papers) as prior information into the DEA models to study the resulting changes of these Countries/Territories' performance grades.

Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 10, no 1, 238-253 p.
Keyword [en]
Countries/territories, Grades, Data envelopment analysis (DEA), Efficient frontier
National Category
Information Studies Social Sciences Interdisciplinary Computer Science
URN: urn:nbn:se:kth:diva-185082DOI: 10.1016/j.joi.2016.01.008ISI: 000371938600021ScopusID: 2-s2.0-84956619780OAI: diva2:919721

QC 20160414

Available from: 2016-04-14 Created: 2016-04-11 Last updated: 2016-04-14Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Ahlgren, Per
By organisation
Publication Infrastructure
In the same journal
Journal of Informetrics
Information StudiesSocial Sciences InterdisciplinaryComputer Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 23 hits
ReferencesLink to record
Permanent link

Direct link