The present paper aims at assessing the effective economic and organizational benefits concerning to the adoption of Industry 4.0 technologies by Italian southern firms. The research is developed within a project relative to the Industry 4.0 maturity assessment. The objective of the research is twofold. First, it is focused on the identification of the determinants of enterprise budget relative to the introduction of Industry 4.0 innovations. Secondly, the research aims at finding how these determinants may evolve over time in respect to the adoption of Industry 4.0. The above issues are investigated through a wide survey of southern Italy big firms have adopted Industry 4.0 technologies for their production and/or logistic processes. The main tool of investigation is Structural Equation Modelling (SEM), with EQS as software tool for SEM implementation and statistical analyses. Among the main finding, it resulted that the variation of number of employees does not relevant in the potential benefits of Industry 4.0. In contrast, some economic parameters such as the Earning Before Interest Taxes Depreciation and Amortization (EBITDA) is among the most relevant determinants in Industry 4.0 Firms.
Analysing the determinants of industry 4.0 technologies in southern italian industries through structural equation modeling
Menanno M.;Savino M.;Palmieri A.
2019-01-01
Abstract
The present paper aims at assessing the effective economic and organizational benefits concerning to the adoption of Industry 4.0 technologies by Italian southern firms. The research is developed within a project relative to the Industry 4.0 maturity assessment. The objective of the research is twofold. First, it is focused on the identification of the determinants of enterprise budget relative to the introduction of Industry 4.0 innovations. Secondly, the research aims at finding how these determinants may evolve over time in respect to the adoption of Industry 4.0. The above issues are investigated through a wide survey of southern Italy big firms have adopted Industry 4.0 technologies for their production and/or logistic processes. The main tool of investigation is Structural Equation Modelling (SEM), with EQS as software tool for SEM implementation and statistical analyses. Among the main finding, it resulted that the variation of number of employees does not relevant in the potential benefits of Industry 4.0. In contrast, some economic parameters such as the Earning Before Interest Taxes Depreciation and Amortization (EBITDA) is among the most relevant determinants in Industry 4.0 Firms.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
