This article aims at investigating the diffusion of digital technologies related to Industry 4.0 (I4.0) within a regional system – the Veneto region in Italy – with strong manufacturing specialization and significant weight of small and medium-sized enterprises SMEs. Taking a micro-economic perspective and relying on a unique database representative of the regional firms’ population, we analyse the digital technology innovation diffusion in the regional industrial system. Linking the data on the adoption of digital technologies with firms’ performances and employment behaviour, we discuss the main features that distinguish the adopting firms, first of all the role of human capital as key driver in digital innovation. Indeed, firms adopting I4.0 technologies are not only more characterized by workers with higher competences and educational profiles but are also those showing higher productivity, employment growth and a shared value strategy. In terms of policy implications we argue that industrial policies for supporting technological change within I4.0 should go hand in hand with policies for training firms’ human capital and policies favouring internationalization processes.

This article aims at investigating the diffusion of digital technologies related to Industry 4.0 (I4.0) within a regional system – the Veneto region in Italy – with strong manufacturing specialization and significant weight of small and medium-sized enterprises SMEs. Taking a micro-economic perspective and relying on a unique database representative of the regional firms’ population, we analyse the digital technology innovation diffusion in the regional industrial system. Linking the data on the adoption of digital technologies with firms’ performances and employment behaviour, we discuss the main features that distinguish the adopting firms, first of all the role of human capital as key driver in digital innovation. Indeed, firms adopting I4.0 technologies are not only more characterized by workers with higher competences and educational profiles but are also those showing higher productivity, employment growth and a shared value strategy. In terms of policy implications we argue that industrial policies for supporting technological change within I4.0 should go hand in hand with policies for training firms’ human capital and policies favouring internationalization processes.

Fattori abilitanti ed effetti sulle PMI dell’adozione delle tecnologie di Industria 4.0

Giancarlo Corò
;
Monica Plechero;Mario Volpe
2020

Abstract

This article aims at investigating the diffusion of digital technologies related to Industry 4.0 (I4.0) within a regional system – the Veneto region in Italy – with strong manufacturing specialization and significant weight of small and medium-sized enterprises SMEs. Taking a micro-economic perspective and relying on a unique database representative of the regional firms’ population, we analyse the digital technology innovation diffusion in the regional industrial system. Linking the data on the adoption of digital technologies with firms’ performances and employment behaviour, we discuss the main features that distinguish the adopting firms, first of all the role of human capital as key driver in digital innovation. Indeed, firms adopting I4.0 technologies are not only more characterized by workers with higher competences and educational profiles but are also those showing higher productivity, employment growth and a shared value strategy. In terms of policy implications we argue that industrial policies for supporting technological change within I4.0 should go hand in hand with policies for training firms’ human capital and policies favouring internationalization processes.
File in questo prodotto:
File Dimensione Formato  
Coroetal2020industria4.0rivista.pdf

non disponibili

Tipologia: Versione dell'editore
Licenza: Accesso chiuso-personale
Dimensione 374.97 kB
Formato Adobe PDF
374.97 kB Adobe PDF   Visualizza/Apri

I documenti in ARCA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10278/3728390
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? ND
social impact