TY - JOUR
T1 - Measuring the fourth industrial revolution through the Industry 4.0 lens
T2 - The relevance of resources, capabilities and the value chain
AU - Castelo-Branco, Isabel
AU - Oliveira, Tiago
AU - Coelho, Pedro Simões
AU - Portugal, Jorge
AU - Filipe, Irina
N1 - Castelo-Branco, I., Oliveira, T., Coelho, P. S., Portugal, J., & Filipe, I. (2022). Measuring the fourth industrial revolution through the Industry 4.0 lens: The relevance of resources, capabilities and the value chain. Computers in Industry, 138(June), [103639]. https://doi.org/10.1016/j.compind.2022.103639 --------- Funding Information: The quantitative part of this work was funded through grant AAC 3/SIAC/2017-035947 from Portugal COMPETE program.
PY - 2022/6/1
Y1 - 2022/6/1
N2 - The present study presents an Industry 4.0 measurement model that is applied to a sample of Portuguese companies from several economic sectors beyond manufacturing. An Industry 4.0 measurement scale is developed through a three-step methodology that relies on a mixed-methods approach. Five constructs are identified from literature, together with respective measurement indicators: IT strategy and cybersecurity, enablers, smart factory, value proposition and customer experience. These constructs are subsequently deepened in a qualitative study where second order dimensions are identified and the measurement scale is extended and validated. The model is applied in a quantitative study, the conclusions of which suggest some realignment in the initial constructs. Finally, an Industry 4.0 maturity index is derived. Industry 4.0 maturity is measured from the firms' ability to deploy capabilities and resources to impact on the value chain.
AB - The present study presents an Industry 4.0 measurement model that is applied to a sample of Portuguese companies from several economic sectors beyond manufacturing. An Industry 4.0 measurement scale is developed through a three-step methodology that relies on a mixed-methods approach. Five constructs are identified from literature, together with respective measurement indicators: IT strategy and cybersecurity, enablers, smart factory, value proposition and customer experience. These constructs are subsequently deepened in a qualitative study where second order dimensions are identified and the measurement scale is extended and validated. The model is applied in a quantitative study, the conclusions of which suggest some realignment in the initial constructs. Finally, an Industry 4.0 maturity index is derived. Industry 4.0 maturity is measured from the firms' ability to deploy capabilities and resources to impact on the value chain.
KW - Industry 4.0
KW - Fourth industrial revolution
KW - Industry 4.0 maturity
KW - Maturity models
KW - Digital transformation
UR - http://www.scopus.com/inward/record.url?scp=85125539286&partnerID=8YFLogxK
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000772754500003
U2 - 10.1016/j.compind.2022.103639
DO - 10.1016/j.compind.2022.103639
M3 - Article
SN - 0166-3615
VL - 138
SP - 1
EP - 16
JO - Computers in Industry
JF - Computers in Industry
IS - June
M1 - 103639
ER -
