Acceptance of artificial intelligence and its effect on entrepreneurial intention in foreign trade students: a mirror analysis

Sandra Sayonara Solórzano Solórzano (), Johanna Micaela Pizarro Romero (), Jimmy Gabriel Díaz Cueva (), Jorge Eduardo Arias Montero (), Michael Andrés Zamora Campoverde (), Mariana Malvina Lozzelli Valarezo (), Jose Carlos Montes Ninaquispe (), Benicio Gonzalo Acosta Enriquez () and Marco Agustín Arbulú Ballesteros ()
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Sandra Sayonara Solórzano Solórzano: Universidad Técnica de Machala
Johanna Micaela Pizarro Romero: Universidad Técnica de Machala
Jimmy Gabriel Díaz Cueva: Universidad Técnica de Machala
Jorge Eduardo Arias Montero: Universidad Técnica de Machala
Michael Andrés Zamora Campoverde: Universidad Técnica de Machala
Mariana Malvina Lozzelli Valarezo: Universidad Técnica de Machala
Jose Carlos Montes Ninaquispe: Universidad Tecnológica del Perú
Benicio Gonzalo Acosta Enriquez: Universidad Nacional de Trujillo
Marco Agustín Arbulú Ballesteros: Universidad Tecnológica del Perú

Journal of Innovation and Entrepreneurship, 2024, vol. 13, issue 1, 1-20

Abstract: Abstract Artificial intelligence (AI) has experienced a significant increase in its application in the educational field worldwide. This study aimed to analyze the acceptance of AI and its effect on the entrepreneurial intentions of international trade university students in Peru and Ecuador. With a quantitative approach and a non-experimental applied design, an online survey was administered to international trade students from Peru and Ecuador. Amos version 24 software was used to obtain model fit indices and perform gender-based invariance tests. Additionally, SmartPLS statistical software, based on the partial least squares (PLS) technique, was employed to test the hypotheses of the structural equation model (SEM). The measurement model presented acceptable fit indices. When calculating invariance, the configural, metric, and scalar models were satisfactory, although the residual model was not confirmed. It was found that hedonic motivation, habit, and performance expectations influenced international trade students’ intention to use AI. Likewise, it was discovered that the intention to use AI tools has an effect on entrepreneurial intention. Gender and age did not moderate the effect of AI usage intention on entrepreneurial intention. The study provides empirical evidence on the acceptance of AI and its influence on students’ entrepreneurial intentions, offering valuable information for educators, policymakers, and technology developers in the educational field.

Keywords: Artificial intelligence; Entrepreneurship; Acceptance of AI; College students; Foreign trade; Educational technology (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1186/s13731-024-00412-5

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