The influence of artificial intelligence on organizational decision-making
DOI:
https://doi.org/10.26490/svj66r84Keywords:
Artificial intelligence, decision-making, organizational management, operational efficiency, machine learning, innovationAbstract
This research examines how artificial intelligence (AI) impacts decision-making within organizations, an increasingly relevant topic in a context where technology plays a key role in business management. AI has revolutionized various operational aspects, improving the efficiency of areas such as human resources, marketing, and logistics. This study aims to analyze the impact of AI implementation on both strategic and operational decisions, highlighting the benefits and challenges that arise with its integration. To this end, a systematic literature review was conducted using the PRISMA protocol to assess the scientific evidence on the influence of AI on organizational decisions. Twenty research papers published between 2021 and 2025 were selected, which addressed both the benefits and barriers to AI adoption, such as resistance to change and lack of technological infrastructure. The most significant findings indicated that AI contributes to greater efficiency in decision-making and facilitates trend prediction. Key tools such as machine learning and data mining, which support organizational decisions, were also highlighted. However, the research underscores the importance of ethical frameworks and ongoing staff training. In short, artificial intelligence is playing a fundamental role in improving the competitiveness and efficiency of organizations, although its adoption requires ethical reflection and adequate employee training.
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Agbabiaka, O., Ojo, A., & Connolly, N. (2025). Requirements for trustworthy AI-enabled automated decision-making in the public sector: A systematic review. Technological Forecasting and Social Change, 215. https://doi.org/10.1016/j.techfore.2025.123107
Albashrawi, M. (2025). Generative AI for decision-making: A multidisciplinary perspective. Journal of Innovation and Knowledge, 10(4), 100751. https://doi.org/10.1016/j.jik.2025.100751
Angulo Bustinza, H. D., & Tantalean Lam, E. (2025). Análisis de la Inteligencia Artificial en el Entorno Empresarial: Revisión Sistemática (2018-2023). Fides et Ratio - Revista de Difusión cultural y científica de la Universidad La Salle en Bolivia, 29(29), 239-310.
Arizaga Vera, F. E., Arizaga Vera, E. M., Álava Vera, M. F., & Sarmiento Montoya, L. M. (2025). Aplicaciones de las IA en la toma de decisiones empresariales. Una revisión sistemática. RECIMUNDO, 9(1), 187-199. https://doi.org/10.26820/recimundo/9.1.enero.2025.187-199
Bevilacqua, S., Masárová, J., Perotti, F. A., & Ferraris, A. (2025). Enhancing top managers’ leadership with artificial intelligence: Insights from a systematic literature review. Review of Managerial Science. https://doi.org/10.1007/s11846-025-00836-7
Cañón Solano, A. V., Cardona Arboleda, L. D., Coral García, C. C., & Carmona Dominguez, C. D. (2024). Benefits of artificial intelligence in companies. Management (Montevideo), 1, 17. https://doi.org/10.62486/agma202317
Clavijo-Cáceres, J. L., Hurtado-Guevara, R. F., Casanova-Villalba, C. I., & Estefano-Almeida, M. A. (2024). El impacto de la inteligencia artificial en decisiones administrativas basado en revisión de literatura científica. Multidisciplinary Collaborative Journal, 2(1), 39-51.
Contreras Contreras, F., & Olaya Guerrero, J. C. (2025). Revolucionando el Desarrollo Organizacional: La Influencia de la Inteligencia Artificial en la Transformación Empresarial. Ciencia Latina Revista Científica Multidisciplinar, 9(1), 8120-8139. https://doi.org/10.37811/cl_rcm.v9i1.16466
Espinoza García, D. L. (2024). La Inteligencia Artificial como Apoyo en los Procesos de la Administración Empresarial. Ciencia Latina Revista Científica Multidisciplinar, 8(6), 2408-2420. https://doi.org/10.37811/cl_rcm.v8i6.15019
Guerrero, W. A., Camacho-Galindo, S., Guerrero-Martin, L. E., Arévalo, J. C., De Freitas, P. P., Costa Gómes, V. J., Da Silva Fernandes, F. A., & Guerrero-Martin, C. A. (2024). Impacto de la inteligencia artificial en la toma de decisiones financieras: Oportunidades y desafíos para los líderes empresariales. DYNA, 91(233), 168-177. https://doi.org/10.15446/dyna.v91n233.114660
Hernández-Sampieri, R., & Mendoza Torres, C. P. (2018). Metodología de la investigación: Las rutas cuantitativa, cualitativa y mixta. McGraw-Hill Education.
López-Solís, O., Luzuriaga-Jaramillo, A., Bedoya-Jara, M., Naranjo-Santamaría, J., Bonilla-Jurado, D., & Acosta-Vargas, P. (2025). Effect of Generative Artificial Intelligence on Strategic Decision-Making in Entrepreneurial Business Initiatives: A Systematic Literature Review. Administrative Sciences, 15(2), 66. https://doi.org/10.3390/admsci15020066
López-Urbina, J. del C. (2025). Artificial intelligence in enhancing human talent and knowledge management in organizations: A systematic review in Scopus. Revista Científica de Sistemas e Informática, 5(1). https://doi.org/10.51252/rcsi.v5i1.889
Marocco, S., Barbieri, B., & Talamo, A. (2024). Exploring Facilitators and Barriers to Managers’ Adoption of AI-Based Systems in Decision Making: A Systematic Review. AI, 5(4), 2538-2567. https://doi.org/10.3390/ai5040123
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), 1-7. https://doi.org/10.5281/zenodo.14816449
Montalvo Morales, J. A., & García Rodriguez, R. (2025). Impacto de la Inteligencia Artificial en la Toma de Decisiones dentro de las Organizaciones. Ciencia y Reflexión, 4(1), 2503-2532.
Páez Andrade, R. A. (2023). Impacto de la Inteligencia Artificial en la toma de decisiones financieras corporativas. Revista Ingenio Global, 2(1), 46-54.
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Rodríguez, L.-J., Sarache-Ossa, N., Sarache, W., & Ospina-Fonseca, M. (2025). Advances of Artificial Intelligence in Organizational Project Management: A Systematic Literature Review. Cuadernos de Gestión, 21(2), 1-20. https://doi.org/10.5295/cdg.252329ws
Solano Hernández, J. M., & Soriano Ávila, J. L. (2024). El uso de la inteligencia artificial en la gestión empresarial para la toma de decisiones en la planeación de desplazamiento del material de lento movimiento. Revista Latinoamericana de Ciencias Sociales y Humanidades, 5(4), 3338-3350. https://doi.org/10.56712/latam.v5i4.2499
Torres Vásquez, C. P., Martínez García, R. T., Holgado Quispe, A. M., & Castro Rojas, M. C. (2024). From Uncertainty to Precision: AI and Its Disruption in Managerial Transformation. Revista Venezolana de Gerencia, 29(12), 1558-1579. https://doi.org/10.52080/rvgluz.29.e12.43
Zambrano Manzur, B. N., Espinoza Bazán, F. A., Novoa-Hernández, P., & Cruz Corona, C. (2024). In what ways do AI techniques propel decision-making amidst volatility? Annotated bibliography perspectives. Journal of Innovation and Entrepreneurship, 13(1). https://doi.org/10.1186/s13731-024-00396-2
