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

Datos Bibliográficos

ID21652002
AutoresSymone Gomes Soares Alcalá (0000-0001-9783-6506, Institute for Research in Technology, ICAI School of Engineering Comillas Pontifical University Madrid Spain, autor de correspondencia), Víctor L De Nicolás (0000-0001-5641-0744, Departamento de Metodos Cuantitativos, Facultad de Ciencias Economicas y Empresariales (ICADE) Universidad Pontificia Comillas Madrid Spain), Alvaro J Lopez‐Lopez (0000-0001-9879-5603, Institute for Research in Technology, ICAI School of Engineering Comillas Pontifical University Madrid Spain), Mariano Ventosa (0000-0002-4387-8038, Institute for Research in Technology, ICAI School of Engineering Comillas Pontifical University Madrid Spain)
Año2026
Volumen43
Número2
Páginas750-772
Fecha de publicación2026-03-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSystems Research and Behavioral Science (JOURNAL)
Identificadores de la revistaISSN: 1092-7026 • E-ISSN: 1099-1743
EditorialWiley (PUBLISHER • GB)
DOI10.1002/sres.3215
OpenAlexW4416294710
IdiomaEN
Citas recibidas1
Referencias citadas53

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

Critical success factor · Empirical research · Generative grammar · Information system · Information technology · Transformative learning · AI in Service Interactions · Big Data and Business Intelligence · Digital Transformation in Industry