TY - JOUR
T1 - Assessing the Industry 4.0 European divide through the country/industry dichotomy
AU - Castelo-Branco, Isabel
AU - Henriques, Maria Manuel de Amaro
AU - Cruz-Jesus, Frederico
AU - Oliveira, Tiago
N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT#
Castelo-Branco, I., Henriques, M. M. D. A., Cruz-Jesus, F., & Oliveira, T. (2023). Assessing the Industry 4.0 European divide through the country/industry dichotomy. Computers and Industrial Engineering, 176(February), 1-14. [108925]. https://doi.org/10.1016/j.cie.2022.108925 ---%ABS2%
PY - 2023/2/1
Y1 - 2023/2/1
N2 - Industry 4.0 refers to the application of new technologies to production and supply chain processes under the fourth industrial revolution (4th IR) paradigm and has been studied mainly in manufacturing. The present study looks to understand how the 4th IR manifests itself in the EU countries and across different industries through an Industry 4.0 perspective. Following a five-step research protocol that used a multivariate approach, Industry 4.0 Infrastructure, Big Data Maturity and Industry 4.0 Applications were identified as characterizing elements of Industry 4.0. Cluster analysis showed five homogeneous profiles of Industry 4.0 implementation across different industries and European countries. Our findings unveil a strong Industry 4.0 divide across (and within) European countries and industries. Industry 4.0 is much more determined by the industry than by the country. Knowledge of Industry 4.0 development conditions would greatly benefit from further research on the elements that drive the Industry 4.0 divide at the industry and country levels.
AB - Industry 4.0 refers to the application of new technologies to production and supply chain processes under the fourth industrial revolution (4th IR) paradigm and has been studied mainly in manufacturing. The present study looks to understand how the 4th IR manifests itself in the EU countries and across different industries through an Industry 4.0 perspective. Following a five-step research protocol that used a multivariate approach, Industry 4.0 Infrastructure, Big Data Maturity and Industry 4.0 Applications were identified as characterizing elements of Industry 4.0. Cluster analysis showed five homogeneous profiles of Industry 4.0 implementation across different industries and European countries. Our findings unveil a strong Industry 4.0 divide across (and within) European countries and industries. Industry 4.0 is much more determined by the industry than by the country. Knowledge of Industry 4.0 development conditions would greatly benefit from further research on the elements that drive the Industry 4.0 divide at the industry and country levels.
KW - Industry 4.0
KW - 4th Industrial Revolution
KW - Industry 4.0 divide
KW - asymmetries
KW - European Union
UR - http://www.scopus.com/inward/record.url?scp=85146055581&partnerID=8YFLogxK
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000925317100001
U2 - 10.1016/j.cie.2022.108925
DO - 10.1016/j.cie.2022.108925
M3 - Article
SN - 0360-8352
VL - 176
SP - 1
EP - 14
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
IS - February
M1 - 108925
ER -