Razkrivanje organizacijskih vzorcev sprejemanja umetne inteligence v italijanskih podjetjih skozi prizmo teorije difuzije inovacij

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
Repository of the University of Primorsk (University of Primorska)
Published
2025-03-29
Primary Topic
Digital Transformation in Industry
Type
article
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article

Razkrivanje organizacijskih vzorcev sprejemanja umetne inteligence v italijanskih podjetjih skozi prizmo teorije difuzije inovacij

Francesco Venier, Roberto Pugliese, Grazia Garlatti Costa
Repository of the University of Primorsk (University of Primorska)
Digital Transformation in Industry
article

Razkrivanje organizacijskih vzorcev sprejemanja umetne inteligence v italijanskih podjetjih skozi prizmo teorije difuzije inovacij

Francesco Venier, Roberto Pugliese, Grazia Garlatti Costa
article en

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.

Repository of the University of Primorsk (University of Primorska)
Industry, innovation and infrastructure
Openalex Percentile: Top 28%
Digital Transformation in Industry
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