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A Multi-Criteria and Empirical Study for Determining the Influencing Factors of Generative Artificial Intelligence Adoption in Companies

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Fecha
2025-11-15
Autor
Gomes Soares Alcalá, Symone
Nicolas, Victor Luis de
López López, Álvaro Jesús
Ventosa Rodríguez, Mariano
Estado
info:eu-repo/semantics/publishedVersion
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Resumen
Generative artificial intelligence (GenAI) has emerged as a transformative force across business and society due to its ability to generate new content. This potential to reshape businesses introduces challenges and opportunities, necessitating a deeper understanding of GenAI's impact. Despite its promise, the factors that enable effective GenAI adoption within companies remain underexplored. Based on systems thinking principles, this study proposes a comprehensive approach to determine the most critical and influential factors for effective GenAI adoption in companies. Thirteen factors are identified and validated by experts and then aggregated within a technological, business, organizational and environmental framework. After that, a multicriteria approach is applied to identify critical and influential factors, considering their interrelationships and the judgements of chiefs on technology and information from Spanish companies representing several sectors and sizes. Findings indicate that organizational factors are critical in most cases. This study guides companies and individuals in navigating effective GenAI adoption and supports future research.
 
Generative artificial intelligence (GenAI) has emerged as a transformative force across business and society due to its ability to generate new content. This potential to reshape businesses introduces challenges and opportunities, necessitating a deeper understanding of GenAI's impact. Despite its promise, the factors that enable effective GenAI adoption within companies remain underexplored. Based on systems thinking principles, this study proposes a comprehensive approach to determine the most critical and influential factors for effective GenAI adoption in companies. Thirteen factors are identified and validated by experts and then aggregated within a technological, business, organizational and environmental framework. After that, a multicriteria approach is applied to identify critical and influential factors, considering their interrelationships and the judgements of chiefs on technology and information from Spanish companies representing several sectors and sizes. Findings indicate that organizational factors are critical in most cases. This study guides companies and individuals in navigating effective GenAI adoption and supports future research.
 
URI
https:doi.org10.1002sres.3215
A Multi-Criteria and Empirical Study for Determining the Influencing Factors of Generative Artificial Intelligence Adoption in Companies
Tipo de Actividad
Artículos en revistas
ISSN
1092-7026
Materias/ categorías / ODS
Instituto de Investigación Tecnológica (IIT)
Palabras Clave
adoption ; analytic network process; companies; GenAI; generative artificial intelligence; systems thinking
adoption ; analytic network process; companies; GenAI; generative artificial intelligence; systems thinking
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