A multi-criteria and empirical study for determining the influencing factors of Generative Artificial Intelligence adoption in companies

dc.creatorAlcalá, Symone Gomes Soares
dc.creatorDe Nicolás, Victor Luis De Nicolás
dc.creatorLópez-López, Álvaro Jesús
dc.creatorRodriguez, Mariano Jose Ventosa
dc.date.accessioned2026-08-18T14:53:57Z
dc.date.available2026-08-18T14:53:57Z
dc.date.issued2026
dc.description.abstractGenerative 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.
dc.identifier.citationALCALÁ, Symone Gomes Soares et al. A multi-criteria and empirical study for determining the influencing factors of Generative Artificial Intelligence adoption in companies. Systems Research and Behavioral Science, [s. l.], v. 43, n. 2, p. 750-772, 2026. DOI: 10.1002/sres.3215. Disponível em: https://onlinelibrary.wiley.com/doi/full/10.1002/sres.3215. Acesso em: 29 jul. 2026.
dc.identifier.doi10.1002/sres.3215
dc.identifier.issn1099-1743
dc.identifier.issne- 1099-1743
dc.identifier.urihttps://repositorio.bc.ufg.br//handle/ri/31388
dc.language.isoeng
dc.publisher.countryEstados unidos
dc.publisher.departmentFaculdade de Ciências e Tecnologia - FCT (RMG)
dc.publisher.programPrograma de Pós-Graduação em Engenharia de Produção
dc.rightsAcesso Aberto
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAdoption
dc.subjectAnalytic network process
dc.subjectCompanies
dc.subjectGenAI
dc.subjectGenerative artificial intelligence
dc.subjectSystems thinking
dc.subject.ODS9 - Industria, inovação e infraestrutura
dc.titleA multi-criteria and empirical study for determining the influencing factors of Generative Artificial Intelligence adoption in companies
dc.typeArtigo

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