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Tytuł: Evaluation of the innovation level in the EU countries in 2016 and 2011
Autorzy: Prystrom, Joanna
Słowa kluczowe: European Union
innovations
innovation level
multi-criteria analysis
Data wydania: 2020
Data dodania: 18-gru-2020
Wydawca: Wydawnictwo Uniwersytetu w Białymstoku
Źródło: Optimum. Economic Studies, Nr 4(102) 2020, s. 109-125
Abstrakt: Purpose – The main aim of this paper is to evaluate the innovation level in the European Union countries, but in a different way than it was adopted in the European Union reports (European Innovation Scoreboard, and earlier Innovation Union Scoreboard). Analyses were performed in relation to INPUTS-OUTPUTS. Research method – Two methods of multi-criteria analysis were used in the calculations. The first is the popular method known as Simple Additive Weighting. The second is the method known as Processing Technique of Ratings for Ranking of Alternatives, which was developed by the author of this article. Results – The obtained results of the innovation level were analyzed. Analysis concerned two periods: 2016 and 2011 and determined aggregate ratings, which characterized the innovation level of particular European Union countries. Four classes of the innovation level were defined: innovation leaders, good innovators, week innovators and innovation outsiders. Then, based on the calculated global ratings, European Union countries have been assigned to the appropriate classes. The results of this analysis were compared with the classification of the EU Member States in terms of the innovation level that IUS / EIS reports contain. Analyses in relation to INPUTS-OUTPUTS have also made it possible to assess the usefulness of indicators from the IUS / EIS reports to measure the innovation level in such a way. Originality /value / implications /recommendations – The analysis of the innovation level was carried out using two multi-criteria analysis methods.
Afiliacja: Faculty of Economics and Finance, University of Bialystok
E-mail: j.prystrom@uwb.edu.pl
URI: http://hdl.handle.net/11320/9931
DOI: 10.15290/oes.2020.04.102.09
ISSN: 1506-7637
metadata.dc.identifier.orcid: 0000-0002-0334-8083
Typ Dokumentu: Article
Właściciel praw: © Copyright by Uniwersytet w Białymstoku;
Występuje w kolekcji(ach):Artykuły naukowe (WEiF)
Optimum. Economic Studies, 2020, nr 4(102)

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