Drivers of AI Adoption in Enterprises: A European-Wide Analysis

Abstract. Europe is one of the major global regions that has led the adoption of artificial intelligence (AI) in the corporate environment, leading to a significant shift in the technological and organizational landscape of the business world. As the continental economies are deeply embedded in economic and institutional layers, different factors might lead to higher AI adoption. This paper seeks to explore the factors that play a role in the diffusion of AI across various sectors and industries in Europe via quantitative statistical analysis of individual, corporate, and government-related variables. Results tend to indicate budget spending in research and development and digital intensity of companies as the most significant factors but assert that varied influences, not necessarily interrelated, can shape adoption patterns.

Authors

Publication Details

Journal
Materials research proceedings
Published
2024-10-14
DOI
https://doi.org/10.21741/9781644903315-28
Citations
4
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
1.96
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article

Drivers of AI Adoption in Enterprises: A European-Wide Analysis

Fabio GUALANDRI
4 citations
Materials research proceedings
Impact of AI and Big Data on Business and Society
1.96
article

Drivers of AI Adoption in Enterprises: A European-Wide Analysis

Fabio GUALANDRI
article en
4 citations

Abstract

Abstract. Europe is one of the major global regions that has led the adoption of artificial intelligence (AI) in the corporate environment, leading to a significant shift in the technological and organizational landscape of the business world. As the continental economies are deeply embedded in economic and institutional layers, different factors might lead to higher AI adoption. This paper seeks to explore the factors that play a role in the diffusion of AI across various sectors and industries in Europe via quantitative statistical analysis of individual, corporate, and government-related variables. Results tend to indicate budget spending in research and development and digital intensity of companies as the most significant factors but assert that varied influences, not necessarily interrelated, can shape adoption patterns.

Materials research proceedingsVol. 45
Openalex Percentile: Top 13%
Impact of AI and Big Data on Business and Society
1.96
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