6
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Novel Comprehensive MEREC Weighting-Based Score Aggregation Model for Measuring Innovation Performance: The Case of G7 Countries

      ,
      Informatica
      Vilnius University Press

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Innovation can be the greatest hope of overcoming economic challenges. This paper aims to evaluate countries concerning their innovation performances. We introduce an innovation performance evaluation methodology by considering objective factors and applying seven reliable MCDM methods: MEREC, CODAS, MABAC, MARCOS, CoCoSo, WASPAS, and MAIRCA. MEREC calculates the relative weights of indicators considered, while the other techniques decide the ranking order of G7 countries. The Borda rule is then employed to gain an aggregated ranking order. “Business sophistication” is the most critical indicator, whereas the US has the best position regarding the overall ranking. Sensitivity control is as well conducted.

          Related collections

          Most cited references77

          • Record: found
          • Abstract: not found
          • Article: not found

          Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS)

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Optimization of Weighted Aggregated Sum Product Assessment

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC)

                Bookmark

                Author and article information

                Contributors
                Journal
                Informatica
                Vilnius University Press
                0868-4952
                1822-8844
                September 5 2022
                2023
                : 53-83
                Article
                10.15388/22-INFOR494
                f5aa3b7f-b654-4955-84a8-5e842755a24b
                © 2023

                http://creativecommons.org/licenses/by/4.0/

                History

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content148

                Cited by4

                Most referenced authors600