A global comparison methodology to determine critical requirements for achieving industry 4.0

Hakki Bilgen

Technological Forecasting and Social Change, 2021, vol. 172, issue C

Abstract: This study aims to search the success drivers for the countries to achieve Industry 4.0. Firstly, the Kondratieff waves were investigated to determine a relationship to the industrial revolutions and period changes. Secondly, a statistical analysis was performed for the global positioning of the countries by constructing a composite indicator. 18 variables were selected for 217 countries, and by using statistical methods to keep the data appropriateness, the number of variables and countries were found as 9 and 65, respectively. The extracted factors and loaded variables suggest the critical areas in the robot use tendency and the industry climate to achieve the requirements. It was found that the successful countries of the previous waves still took place in the country clusters of the scatter plot. Therefore, the factors and variables reveal some reasons for the sustainable success of these top countries in the field of technology use. Considering the shortening of the period between waves and between revolutions, the underlying issues have been recommended to be managed more carefully before the next revolution. Hence, this statistical model can assist the follower countries in competitiveness research towards Industry 4.0 and in strategic planning for technology management by providing a quantitative insight.

Keywords: K-Waves; Industry 4.0; Industrial robots; Composite indicator; Country cluster (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:172:y:2021:i:c:s0040162521004686

DOI: 10.1016/j.techfore.2021.121036

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