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

Creative Commons License

Ecer F., Ayçin E.

INFORMATICA, cilt.0, ss.1-31, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 0
  • Basım Tarihi: 2022
  • Doi Numarası: 10.15388/22-infor494
  • Dergi Adı: INFORMATICA
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, INSPEC, zbMATH
  • Sayfa Sayıları: ss.1-31
  • Anahtar Kelimeler: innovation, MCDM, innovation measurement, Borda rule, G7 countries, score aggregation model, ASSESSMENT CODAS METHOD, DECISION-MAKING, WASPAS METHOD, SELECTION, RESOURCES, PATTERNS, REGIONS, SECTOR, MABAC, ANP
  • Kocaeli Üniversitesi Adresli: Evet

Özet

Innovation can be the greatest hope of overcoming economic challenges. This paper aims to evaluate countries concerning their innovation performances. We introduce an innovation perfor-mance evaluation methodology by considering objective factors and applying seven reliable MCDM methods: MEREC, CODAS, MABAC, MARCOS, CoCoSo, WASPAS, and MAIRCA. MEREC cal-culates 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. "Busi-ness sophistication" is the most critical indicator, whereas the US has the best position regarding the overall ranking. Sensitivity control is as well conducted.