This paper presents an initial systematic analysis of the adoption of artificial intelligence in Italian firms, with a particular focus on the emerging impacts of generative AI. The theoretical framework is based on the diffusion of innovations and technology–organisation–environment models; drawing on an original dataset, the article proposes an ‘AI readiness level’ index that distinguishes between non-adopters, experimenters and advanced users. The results highlight how company size, sector and internal digital skills significantly influence the likelihood of adopting AI and generative AI solutions, suggesting operational implications for support policies and digital transformation strategies.

Exploring artificial intelligence adoption among Italian firms / Garlatti Costa, G., Pugliese, R., Venier, F.. - In: INTERNATIONAL JOURNAL OF BUSINESS INFORMATION SYSTEMS. - ISSN 1746-0972. - (2026), pp. 1-22. [10.1504/ijbis.2026.152513]

Exploring artificial intelligence adoption among Italian firms

Grazia Garlatti Costa
;
Roberto Pugliese;Francesco Venier
2026-01-01

Abstract

This paper presents an initial systematic analysis of the adoption of artificial intelligence in Italian firms, with a particular focus on the emerging impacts of generative AI. The theoretical framework is based on the diffusion of innovations and technology–organisation–environment models; drawing on an original dataset, the article proposes an ‘AI readiness level’ index that distinguishes between non-adopters, experimenters and advanced users. The results highlight how company size, sector and internal digital skills significantly influence the likelihood of adopting AI and generative AI solutions, suggesting operational implications for support policies and digital transformation strategies.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS 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: https://hdl.handle.net/11368/3142358
 Avviso

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact