From Uncertainty to Precision: AI and Its Disruption in Managerial Transformation

Torres Vásquez C.P.; Martínez García R.T.; Holgado Quispe A.M.; Castro Rojas M.C. · Revista Venezolana de Gerencia (2024) · DOI: 10.52080/rvgluz.29.e12.43

Resumen

The article explores the emergence of artificial intelligence (AI) applications in managerial decision-making and the transformation of traditional management models across various industrial sectors. The research highlights how AI has improved efficiency and accuracy in business management, particularly in sectors such as manufacturing, healthcare, and finance. The results indicate that AI technologies have optimized decision-making through predictive algorithms, recommendation systems, and process automation. The study’s main finding is that AI has profoundly transformed traditional models, facilitating the decentralization of operational decisions and increasing organizational adaptability. To conduct this analysis, the study employed a systematic review based on the PRISMA methodology, identifying key studies between 2018 and 2024. The importance of this research lies in the growing global adoption of AI, highlighting its relevance in a global context, where companies face challenges related to competitiveness and resource optimization. The study concludes that integrating AI into managerial processes is crucial for improving organizational efficiency and addressing these challenges.

Instituciones: Universidad Nacional Federico Villarreal