Influencing factors for the adoption of Artificial Intelligence at a firm level: empirical exploratory analysis for Colombian organizations

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dc.contributor.advisorGonzález Pernía, José Luis
dc.contributor.advisorLópez-López, David
dc.contributor.authorMora López, Juan Pablo
dc.contributor.otherDeusto Business School
dc.date.accessioned2026-06-11T06:59:40Z
dc.date.available2026-06-11T06:59:40Z
dc.date.issued2025-11-07
dc.description.abstractThe proliferation of Information and Communication Technologies (ICTs) has fundamentally reshaped organizational operations. While conventional ICTs, such as personal computers, office automation suites, and customer relationship management (CRM) systems are deeply established, the emergence of novel, disruptive digital ICTs is altering the landscape and our understanding of adoption and diffusion dynamics. Although novel technologies such as mobile, social media, and cloud computing have achieved widespread adoption fueled by marketing efforts, highly disruptive technologies such as Artificial Intelligence (AI), advanced analytics (AA), and machine learning (ML) are experiencing varying adoption rates, particularly in emerging markets like Latin America when compared to developed nations. This research project employs a quantitative methodology to define the factors that either hinder or enable the adoption of these advanced technologies and to assess their impact on the competitiveness of Colombian organizations.eng
dc.identifier.urihttps://hdl.handle.net/20.500.14454/6188
dc.language.isoeng
dc.publisherUniversidad de Deusto
dc.subjectMatemáticas
dc.subjectCiencia de los ordenadores
dc.subjectInteligencia artificial
dc.subjectCiencias Económicas
dc.subjectEconomía del cambio tecnológico
dc.subjectInnovación tecnológica
dc.subjectOrganización y dirección de empresas
dc.subjectOrganización de la producción
dc.titleInfluencing factors for the adoption of Artificial Intelligence at a firm level: empirical exploratory analysis for Colombian organizationseng
dc.typedoctoral thesis
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