Aplicaciones de inteligencia artificial generativa en la transformación digital empresarial

Paulo César Galarza-Sánchez; Miguel Fabricio Boné-Andrade; Victor Joel Pinargote-Bravo

doi:10.55813/gaea/rcym/v1/n1/8

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Published: 2023-02-28

DOI: https://doi.org/10.55813/gaea/rcym/v1/n1/8

Keywords:

generative artificial intelligence, digital transformation, business automation, ethical challenges, organizational innovation

Galarza-Sánchez, Paulo César

Instituto Superior Tecnológico Tsa´chila

https://orcid.org/0000-0003-4668-1158

Boné-Andrade, Miguel Fabricio

Pontificia Universidad Católica del Ecuador

https://orcid.org/0000-0002-8635-1869

Pinargote-Bravo, Victor Joel

Escuela Superior Politécnica Agropecuaria de Manabí Manuel Félix López

https://orcid.org/0000-0003-0599-1651

Abstract

Limited systematic understanding of the applications, impacts, and challenges of generative artificial intelligence (GAI) in the business environment, despite growing interest in its implementation. In response, this literature review article explores in a critical and structured manner the role of GAI in enterprise digital transformation. To do so, a comprehensive search was conducted in academic databases such as Scopus and Web of Science, selecting research published between 2018 and 2023 that analyzes practical applications, organizational impacts, and ethical challenges of AGI. The results show that this technology has been effective in three key areas: automated content generation, data-driven decision support, and improved customer experience. However, relevant challenges are also identified, such as the generation of inaccurate information, algorithmic biases, technological barriers and integration difficulties with corporate systems. In conclusion, it highlights the need for a strategic and ethical adoption of GGI, supported by technological capabilities, specialized talent and regulatory frameworks that guarantee its responsible, sustainable and inclusive use.

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Vol. 1 No. 1 (2023): Innovation and Knowledge: Multidisciplinary Perspectives

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Artículos

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Author Biographies

Galarza-Sánchez, Paulo César, Instituto Superior Tecnológico Tsa´chila

Systems and Computer Engineer with a master's degree in Management Information Systems, under the profile of algorithm and agile technologies, involved in research projects and academic conferences, with work experience in teaching middle and higher education, programming and database management, trained in all stages of software development, data structure, CASE tools, UX/UI design, analysis and reporting. Currently teaching at the Instituto Superior Tecnológico Tsa'chila.

Boné-Andrade, Miguel Fabricio, Pontificia Universidad Católica del Ecuador

Systems and computer engineer, Master in telecommunications systems, Master in information technologies with mention in network security and communications, Professor at the Universidad Técnica Luis Vargas Torres de Esmeraldas, Santo Domingo de los Tsáchilas.

Pinargote-Bravo, Victor Joel, Escuela Superior Politécnica Agropecuaria de Manabí Manuel Félix López

Computer Engineer with a Master's degree in Computer Science and Technology with specialization in Artificial Intelligence and Machine Learning (UPM). 14 years of experience in university teaching. Professor of Computer Science at the Escuela Superior Politécnica Agropecuaria de Manabí “MFL”, Calceta Ecuador.

How to Cite

Galarza-Sánchez, P. C., Boné-Andrade, M. F., & Pinargote-Bravo, V. J. (2023). Generative artificial intelligence applications in digital business transformation. Scientific Journal Science and Method, 1(1), 28-41. https://doi.org/10.55813/gaea/rcym/v1/n1/8

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