Adoption of generative artificial intelligence to improve business management innovation in Ecuador

Authors

DOI:

https://doi.org/10.56294/dm20251070

Keywords:

Generative artificial intelligence, innovation, technology adoption, exploratory factor analysis, SMEs

Abstract

Generative artificial intelligence (GAI) has emerged as a disruptive technology with the potential to transform administrative processes in organisations. However, its adoption in business contexts in emerging economies, such as Ecuador, requires an understanding of the factors that influence organisational readiness for its implementation. The objective of the research was to analyse the intention to adopt the use of generative artificial intelligence to improve innovation in the administration of Ecuadorian companies, which has been empirically validated by a theoretical model based on technological and organisational dimensions. A quantitative, cross-sectional, non-experimental research design was developed. The population consisted of small and medium-sized enterprises (SMEs) in the province of Tungurahua in Ecuador, selected by random convenience sampling. A structured questionnaire with 20 items distributed across six dimensions was applied. A correlational and exploratory factor analysis (EFA) was performed to validate the structure of the instrument and examine the relationships between variables. The EFA confirmed a one-dimensional model that explained 79.24% of the total variance, with factor loadings above 0.83. The adoption of IAG showed a high correlation with expected innovation r= 0.944, technological complexity and compatibility. The participating companies show a consistent perception of IAG adoption, based on technological, organisational and strategic factors.

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Published

2025-06-10

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Section

Original

How to Cite

1.
Naranjo Vaca MJ, Macías Collahuazo EX, Bolaños-Logroño PF, Vásconez Vásconez HD. Adoption of generative artificial intelligence to improve business management innovation in Ecuador. Data and Metadata [Internet]. 2025 Jun. 10 [cited 2025 Jul. 7];4:1070. Available from: https://dm.ageditor.ar/index.php/dm/article/view/1070