AI in academia and business
Keywords:
education, ethics, artificial intelligence, scientific research, digital marketingSynopsis
The volume AI in academia and business presents an interdisciplinary analysis of the integration of artificial intelligence across key domains such as scientific research, education, and digital marketing; this work brings together four chapters that examine the impact of these technologies from technical, pedagogical, ethical, and social perspectives. In this context, the purpose of the volume is to analyze how artificial intelligence reshapes knowledge production processes, teaching-learning dynamics, and the understanding of consumer behavior in contemporary digital environments. The overall methodology is based on systematic reviews of scientific literature following PRISMA 2020 guidelines, enabling the identification, selection, and analysis of empirical evidence published between 2020 and 2025 in indexed databases; this approach ensures methodological rigor, transparency, and validity in the synthesis of findings. Through thematic analysis, categories are structured around the automation of research processes, personalized learning, consumer behavior analytics, and the ethical challenges associated with the use of intelligent technologies. The findings demonstrate that artificial intelligence enhances efficiency in scientific production, improves educational outcomes through adaptive systems, and transforms marketing strategies through personalization and predictive decision-making; however, risks related to ethics, privacy, information quality, and the digital divide are also identified. Consequently, the volume concludes that artificial intelligence constitutes a strategic axis of social transformation, whose implementation requires a critical, regulated, and human-centered approach.
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References
A. H. Villagomez Palacios, «El impacto de la Inteligencia Artificial en la Sociedad: Una Revisión Sistemática de su Influencia en Ámbitos Sociales, Económicos y Tecnológicos», Cienc. Lat. Rev. Científica Multidiscip., vol. 9, n.o 1, pp. 8150-8172, mar. 2025, doi: https://doi.org/10.37811/cl_rcm.v9i1.16468
R. R. Villarroel-Molina, M. L. Zapata-Velasco, L. M. Villarroel-Molina, C. M. Molina-Endara, y M. J. Peralta-Arana, «Inteligencia Artificial en la Educación: Avances, Retos Éticos y Perspectivas Pedagógicas.», Innova Sci. J., vol. 3, n.o 3, pp. 400-421, 2025, doi: https://doi.org/10.63618/omd/isj/v3/n3/90
L. B. Díaz Subieta, «El uso de la inteligencia artificial en la investigación científica», Rev. Hist. la Educ. Latinoam., vol. 26, n.o 43, jul. 2024, doi: https://doi.org/10.19053/uptc.01227238.1801
K. E. Vimos-Buenaño, J. C. Viteri-Ojeda, M. J. Naranjo-Sánchez, y K. H. Novillo-Heredia, «Uso de la inteligencia artificial en los procesos de investigación científica, por parte de los docentes universitarios», J. Econ. Soc. Sci. Res., vol. 4, n.o 4, pp. 215-236, 2024, doi: https://doi.org/10.55813/gaea/jessr/v4/n4/143
J. M. Acosta Medranda, M. N. Castro Andino, S. E. Albán Solórzano, D. E. Albancando Lima, y F. M. Armijos Gaona, «Integración de la inteligencia artificial en los procesos de enseñanza - aprendizaje», LATAM Rev. Latinoam. Ciencias Soc. y Humanidades, vol. 6, n.o 2, abr. 2025, doi: https://doi.org/10.56712/latam.v6i2.3838
O. D. León Granizo, C. Neil, y C. S. Cedillo Jiménez, «La inteligencia artificial en la educación y sus implicaciones: un mapeo sistemático de la literatura», Rev. Conectividad, vol. 5, n.o 1, pp. 49-66, ene. 2024, doi: https://doi.org/10.37431/conectividad.v5i1.10
A. H. Alsharif, J. Wang, S. M. Isa, N. Z. M. Salleh, H. A. Dawas, y M. H. Alsharif, «The synergy of neuromarketing and artificial intelligence: A comprehensive literature review in the last decade», Futur. Bus. J., vol. 11, n.o 1, p. 170, jul. 2025, doi: https://doi.org/10.1186/s43093-025-00591-x
R. G. Saraguro Calva, H. M. Tobar Villacis, y X. S. Coyago Loayza, «La Inteligencia Artificial en las Estrategias de Marketing Digital de las Pequeñas y Medianas Empresas: Percepción de Expertos del Sector», Cienc. Lat. Rev. Científica Multidiscip., vol. 9, n.o 4, pp. 3047-3061, 2025, doi: https://doi.org/10.37811/cl_rcm.v9i4.18948
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Published
April 29, 2026
Online ISSN
3103-117X
Categories
Copyright (c) 2026 Daniela Paola Ávalos Espinoza, Carlos Napoleón Ribadeneira Zapata , Wilter Rodolfo Camacho Arellano Wilter Rodolfo Camacho Arellano, Charles Paul Vizcarra Armijos Charles Paul Vizcarra Armijos (Autor de capítulo)
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Details about the available publication format: MTC V2i2 2026
MTC V2i2 2026
ISBN-13 (15)
978-9942-7391-8-6
Details about the available publication format: MTC V2i2e1 2026
MTC V2i2e1 2026
ISBN-13 (15)
978-9942-7391-8-6
Details about the available publication format: MTC V2i2e2 2026
MTC V2i2e2 2026
ISBN-13 (15)
978-9942-7391-8-6
Details about the available publication format: MTC V2i2e3 2026
MTC V2i2e3 2026
ISBN-13 (15)
978-9942-7391-8-6
Details about the available publication format: MTC V2i2e4 2026
MTC V2i2e4 2026
ISBN-13 (15)
978-9942-7391-8-6
How to Cite
AI in academia and business: Vol. V2i2. (2026). Editorial Unión Científica. https://doi.org/10.63804/mtc.v2i2
