Exploring artificial intelligence adoption among Italian firms: the AI readiness level

This study presents the first comprehensive analysis of artificial intelligence (AI) adoption among Italian firms, with a particular focus on the emerging impact of generative AI.Drawing upon the diffusion of innovations theory and the technology-organisation-environment (TOE) framework, we surveyed 237 managers from an Italian business school to examine their perspectives on both predictive/analytical AI and generative AI implementation.Our findings revealed varying levels of adoption and identified a significant gap in organisational AI readiness assessment tools.In response, we developed the AI readiness level (AIRL) framework, grounded in the TOE model, to evaluate AI maturity and guide strategic planning.This framework enables organisations to assess their AI capabilities, align initiatives with business objectives, and address key barriers such as skills shortages and data quality concerns.The study's limitations include the Italian context and specific executive sample.Future research should expand the sample size, diversify industries, and use randomised sampling.

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Publication Details

Journal
International Journal of Business Information Systems
Published
2026-01-01
DOI
https://doi.org/10.1504/ijbis.2026.152513
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

Exploring artificial intelligence adoption among Italian firms: the AI readiness level

Francesco Venier, Roberto Pugliese, G. Costa
International Journal of Business Information Systems
Ethics and Social Impacts of AI
article

Exploring artificial intelligence adoption among Italian firms: the AI readiness level

Francesco Venier, Roberto Pugliese, G. Costa
article en

Abstract

This study presents the first comprehensive analysis of artificial intelligence (AI) adoption among Italian firms, with a particular focus on the emerging impact of generative AI.Drawing upon the diffusion of innovations theory and the technology-organisation-environment (TOE) framework, we surveyed 237 managers from an Italian business school to examine their perspectives on both predictive/analytical AI and generative AI implementation.Our findings revealed varying levels of adoption and identified a significant gap in organisational AI readiness assessment tools.In response, we developed the AI readiness level (AIRL) framework, grounded in the TOE model, to evaluate AI maturity and guide strategic planning.This framework enables organisations to assess their AI capabilities, align initiatives with business objectives, and address key barriers such as skills shortages and data quality concerns.The study's limitations include the Italian context and specific executive sample.Future research should expand the sample size, diversify industries, and use randomised sampling.

International Journal of Business Information SystemsVol. 51(7)
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Ethics and Social Impacts of AI
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Exploring artificial intelligence adoption among Italian firms: the AI readiness level — Francesco Venier, Roberto Pugliese, et al. · International Journal of Business Information Systems (2026) | TGRS Research Map | TGRS