Abstract
Goal: This paper analyses how European countries of Global Innovation Indicators (GII) present in the ranking by multicriteria support aid analysis.
 Design / Methodology / Approach: The methodology uses Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for ranking countries and PROMETHÉE (Preference Ranking Organisation Method for Enrichment Evaluations) for outranking them.
 Results: There was change in 30 ordered positions from 39 countries observed. At non-compensatory method the overrating become “easier” than the compensatory method, especially when there are many alternatives and criteria for computing with small difference among values.
 Limitations of the investigation: It is only used the GII 2015 Europe for continuing investigations about MCDA realized for Latin America (2017) and Asia and Africa (2019).
 Practical implications: The applications result in a different understanding about TOPSIS ranking application, from original score list at GII; and also the perception of organized groups at outranking application.
 Originality / Value: Observing GII via MCDA is possible to see changing’s in the ranking according to countries profiles different from GII raking. Although European profiles seem to be similar, it is important to observe other perspective of grouping by them; suggesting quantitative studies inclusion and innovative trends.
Highlights
The innovation term alignment to whom creativity concepts, knowledge, change and rupture are timely to define the innovative process in the inputs and outputs - and why not during the production process, adoption, assimilation or export of products and/or services of aggregated values in macroeconomic and microeconomic terms, overcoming barriers of competitiveness (Fonseca and Lima, 2015)
This study is centred on determining criterion of European countries’ ranking by Global Innovation Indicators (GII) in its innovation indicators; presenting some aspects deemed essential by the decision-maker and makes up part of the element set that substantiates the dimensions that he has in mind when observing the context about the ranking and the possibility of groups formed by countries according to their behaviour through the computation (Bortoluzzi et al, 2017)
The aim of this paper is to use the TOPSIS method to verify the positioning of the most innovative European countries identified by GII’s methodology and to provoke for future work a better identification for compensatory methods, considering the use of the TOPSIS method by weights in entropy, as presented in this paper, as well as through the use of the TOPSIS method normalized by sum of criteria or normalization by the greater criterion, altering the understanding of positioning of the indicators ranking to be optimized in future for the new world-regional identifications for the innovative countries, since in Europe in 2015 there was change in 30 ordered positions from 39 countries observed
Summary
The innovation term alignment to whom creativity concepts, knowledge, change and rupture are timely to define the innovative process in the inputs and outputs - and why not during the production process, adoption, assimilation or export of products and/or services of aggregated values in macroeconomic and microeconomic terms, overcoming barriers of competitiveness (Fonseca and Lima, 2015). Developed countries tend to stimulate innovation policies through competitive strategies and practices, in order to promote research and development practices to cause disruption in production processes, adding value along the production chain, sustainability in production operations and their utilities (Lopes et al, 2016; Silva et al, 2019b; 2019c). This pressure is reflected in the dynamic tensions about the impact on the strategic decisions regarding the innovation process, affecting the time horizon, either the rigidity degree which a strategy is followed
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