Impact of Artificial Intelligence on Management Decision Making in Companies
DOI:
https://doi.org/10.63688/zxym4m26Keywords:
artificial intelligence, decision-making, business management, administration, digital transformationAbstract
Artificial intelligence has become a strategic tool to improve administrative processes and strengthen business decision-making. The objective of this research was to analyze the influence of the implementation of artificial intelligence tools on the quality, speed and effectiveness of managerial decision-making in Ecuadorian companies. A quantitative, descriptive-correlational study was developed, with a non-experimental and cross-sectional design. The sample consisted of 75 administrative workers belonging to three companies, selected through a non-probabilistic convenience sampling. The information was collected using a 20-item questionnaire with a Likert scale, whose overall reliability reached a Cronbach's alpha of 0.89. The results showed that 52.0% of the participants perceived a high level of artificial intelligence implementation. The speed of the decision was the best valued dimension, with an average of 4.25. Likewise, a high and statistically significant positive correlation was identified between the implementation of artificial intelligence and managerial decision-making (Spearman's rho = 0.704; p < 0.001). It is concluded that these tools contribute to reducing response times, improving information analysis and increasing administrative effectiveness; however, its implementation must be complemented by training, human supervision and responsible data management.
References
Álava Naranjo, E. E., Ruiz Briones, M. G., & Vera Basurto, J. J. (2026). Inteligencia artificial generativa y toma de decisiones estratégicas: Implicaciones para la eficiencia y competitividad en la gestión empresarial. Ibero Ciencias - Revista Científica y Académica, 5(1), 3360–3372. https://doi.org/10.63371/ic.v5.n1.a833
Alawamleh, M., Shammas, N., Alawamleh, K., & Bani Ismail, L. (2024). Examining the limitations of AI in business and the need for human insights using Interpretive Structural Modelling. Journal of Open Innovation: Technology, Market, and Complexity, 10(3), 100338. https://doi.org/10.1016/j.joitmc.2024.100338
Alcántara Gutiérrez, M. E., Sánchez Linares, É., Aguirre Hernández, I., Villafán Amezcua, L. A., Jarrín Rivadeneyra, E. P., & León Torres, L. M. (2025). Inteligencia artificial y su impacto en la toma de decisiones. Estudios y Perspectivas Revista Científica y Académica, 5(1), 1073–1091. https://doi.org/10.61384/r.c.a.v4i4.812
Alhidan, E. S. F., Al-Hidan, N. S., & Al-Hamyan, A. M. (2026). Perceived AI-related support and sustainable administrative performance in universities: The role of expert systems, automated machine learning, and ease of use. Sustainability, 18(9), 4242. https://doi.org/10.3390/su18094242
Arguelles Toache, E. (2023). Ventajas y desventajas del uso de la inteligencia artificial en el ciclo de las políticas públicas: Análisis de casos internacionales. Acta Universitaria, 33. https://doi.org/10.15174/au.2023.3891
Bedoya Sánchez, O. M., Pérez García, S. M., Osorio Oviedo, H. L., & Guzmán Pacheco, J. F. (2025). Inteligencia artificial y toma de decisiones en gestión empresarial; una revisión bibliométrica de la última década. European Public & Social Innovation Review, 11, 1–16. https://doi.org/10.31637/epsir-2026-1630
Boy Barreto, A. M., Osorio Arrascue, E. D., Rodríguez Alegre, L. R., & López Padilla, R. del P. (2024). Inteligencia artificial en la toma de decisiones: Implicaciones éticas y eficiencia. Revista Venezolana de Gerencia, 29(11), 342–355. https://doi.org/10.52080/rvgluz.29.e11.20
Espinoza Briones, H. R., Reyes Bermeo, M. del R., & Yong-Chang, E. A. (2026). Inteligencia artificial en la toma de decisiones gerenciales: Un análisis bibliométrico. Universidad y Sociedad, 18(2), e5920. https://rus.ucf.edu.cu/index.php/rus/article/view/5920
Filgueiras, F. (2021). Inteligencia artificial en la administración pública: Ambigüedad y elección de sistemas de IA y desafíos de gobernanza digital. Revista del CLAD Reforma y Democracia, (79). https://www.redalyc.org/journal/3575/357570194001/html/
Kulal, A., Rahiman, H. U., Suvarna, H., Abhishek, N., & Dinesh, S. (2024). Enhancing public service delivery efficiency: Exploring the impact of AI. Journal of Open Innovation: Technology, Market, and Complexity, 10(3), 100329. https://doi.org/10.1016/j.joitmc.2024.100329
Medina-Chicaiza, P., Chango-Guanoluisa, M., Corella-Cobos, M., & Guizado-Toscano, D. (2022). Transformación digital en las empresas: Una revisión conceptual. Journal of Science and Research, 7(CININGEC II), 756–769. https://revistas.utb.edu.ec/index.php/sr/article/view/2804
Mejía Vera, S. E., Nava Ore Garro, J. E., & Cedeño Cedeño, R. J. (2025). La participación de la inteligencia artificial en la toma de decisiones gerenciales. Revista InveCom, 5(4). https://doi.org/10.5281/zenodo.14816449
Méndez-Gutiérrez, X. M., Valiente-Saldaña, Y. M., Mantilla-Sevillano, J. E., & Gonzales-Rentería, Y. G. (2023). Transformación digital y su impacto en la gestión empresarial de empresas consultoras de talento humano. Revista Arbitrada Interdisciplinaria Koinonía, 8(Supl. 1). https://doi.org/10.35381/r.k.v8i1.2837
Páez Andrade, R. A. (2023). Impacto de la inteligencia artificial en la toma de decisiones financieras corporativas. RIG, 2(1), 46–54. https://doi.org/10.62943/rig.v2n1.2023.61
Reyes Lucas, L. J., & Morejón López, G. E. (2025). Impacto de la inteligencia artificial en la toma de decisiones en empresas de telecomunicaciones e informáticas: Revisión de literatura. Revista Social Fronteriza, 5(1), e601. https://doi.org/10.59814/resofro.2025.5(1)601
Rivero Fernández, R. R., Barriga García, M. del C., Rivera Pinto, S. D., & Pinto Hurtado, A. (2025). Impacto de la inteligencia artificial en la toma de decisiones administrativas y la gestión de empresas emergentes. Revista Athena, 6(22). https://doi.org/10.47460/athenea.v6i22.112
Soori, M., Ghaleh Jough, F. K., Dastres, R., & Arezoo, B. (2024). AI-based decision support systems in Industry 4.0, a review. Journal of Economy and Technology, 4, 206–225. https://doi.org/10.1016/j.ject.2024.08.005
Toala Bozada, F. A., Roben Moreira, F. M., Pisco Rodríguez, P. K., & Guadamud Farías, U. I. (2026). La inteligencia artificial como apoyo a la toma de decisiones en la gestión empresarial. Sinergia Académica, 9(3). https://doi.org/10.51736/sa978
Yaranga Vite, I. P., & Lortiga Cóndor, L. W. (2025). Integración de la inteligencia artificial con big data para la toma de decisiones en las empresas: Un estudio bibliométrico. Revista InveCom, 5(4). https://doi.org/10.5281/zenodo.14783686
Yoshikuni, A. C., Dwivedi, R., Zhou, D., & Wamba, S. F. (2023). Big data and business analytics enabled innovation and dynamic capabilities in organizations: Developing and validating scale. International Journal of Information Management Data Insights, 3(2), 100206. https://doi.org/10.1016/j.jjimei.2023.100206
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