Unveiling Organizational AI Adoption Patterns in Italian Companies through the Lens of the Diffusion of Innovations Theory

This paper investigates the adoption and integration of artificial intelligence (AI) technologies within a sample of 237 Italian enterprises using the Diffusion of Innovations (DOI) theory as the theoretical framework. It examines the characteristics of companies leading in AI adoption, evaluating their alignment with the innovator and early adopter profiles defined by Everett Rogers in 2003 within the DOI framework. The research emphasizes AI’s significant role in enhancing operational efficiency, fostering innovation, securing competitive advantage, and driving long-term growth. It also identifies challenges such as lack of skills, data management issues, and ethical concerns. Our findings contribute empirical evidence to the academic literature on the DOI theory, addressing the underexplored context of AI in Italy. The study provides a nuanced perspective on AI’s impact on employment and sets a foundation for future research, offering managerial insights for strategically deploying AI.

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Publication Details

Journal
Managing Global Transitions
Published
2025-03-29
DOI
https://doi.org/10.26493/1854-6935.23.79-111
Citations
1
Primary Topic
Entrepreneurship Studies and Influences
Type
article
Field-Weighted Citation Impact
2.76
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article

Unveiling Organizational AI Adoption Patterns in Italian Companies through the Lens of the Diffusion of Innovations Theory

Francesco Venier, G. Costa, Roberto Pugliese
1 citations
Managing Global Transitions
Entrepreneurship Studies and Influences
2.76
article

Unveiling Organizational AI Adoption Patterns in Italian Companies through the Lens of the Diffusion of Innovations Theory

Francesco Venier, G. Costa, Roberto Pugliese
article en
1 citations

Abstract

This paper investigates the adoption and integration of artificial intelligence (AI) technologies within a sample of 237 Italian enterprises using the Diffusion of Innovations (DOI) theory as the theoretical framework. It examines the characteristics of companies leading in AI adoption, evaluating their alignment with the innovator and early adopter profiles defined by Everett Rogers in 2003 within the DOI framework. The research emphasizes AI’s significant role in enhancing operational efficiency, fostering innovation, securing competitive advantage, and driving long-term growth. It also identifies challenges such as lack of skills, data management issues, and ethical concerns. Our findings contribute empirical evidence to the academic literature on the DOI theory, addressing the underexplored context of AI in Italy. The study provides a nuanced perspective on AI’s impact on employment and sets a foundation for future research, offering managerial insights for strategically deploying AI.

Managing Global TransitionsVol. 23(1)
University of Trieste (IT), Elettra-Sincrotrone Trieste S.C.p.A. (IT)
Openalex Percentile: Top 12%
Entrepreneurship Studies and Influences
2.76
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Unveiling Organizational AI Adoption Patterns in Italian Companies through the Lens of the Diffusion of Innovations Theory — Francesco Venier, G. Costa, et al. · Managing Global Transitions (2025) | TGRS Research Map | TGRS