Comprehensive analysis of the global innovation index: statistical and strategic approach

Abstract

ABSTRACT Countries can gain a competitive advantage as a result of their innovation activities. The Global Innovation Index (GII) reveals the comprehensive innovation performance of countries, helping developing economies keep up with technology. In this study, the relationship between Innovation Input Sub-Index and Innovation Output Sub-Index was analyzed by canonical correlation analysis. Data between 2013–2020 annual reports were compiled by including all countries. According to the results, the most important and explanatory factors in the formation of the Innovation Input Sub-Index score were Human and Capital Research with 68.7% and Business Development with 69.2%, and Creative Outputs with 98.8% in the Innovation Output Sub-Index score. In the next stage of the study, it was examined by t-test whether the explanatory factors as a result of the canonical correlation differ according to the income levels of the countries. According to the results, it was found that there is a statistically significant difference between the differences in income level and the factors. The evaluation of the GII data of this study based on eight years and the deepening of the research on the income levels of the countries based on this evaluation reveal the original contribution of the study in theory and practice.